How Can HR Managers Benefit From Using Data Archiving?

HR managers deal with a lot of confidential and sensitive information. Maintaining the confidentiality of employee data is crucial. Any breach of confidentiality of employee data can result in monetary and lawsuits. Therefore, it is necessary to maintain the confidentiality of employee data.

Data archiving is an effective method to maintain the confidentiality of employee data. It not only safeguards confidential employee data but also enhances the efficiency of HR managers. However, most HR managers are not aware of the benefits of using data archiving.

It is a misconception that data archiving will cost a lot of money. However, in reality, it is a very cost-effective method to maintain the confidentiality of employee data. Moreover, it also helps in increasing the efficiency of HR managers.

Here are 6 benefits of data archiving for HR managers.

1. Data archiving can prevent the loss of confidential employee data

Losing confidential employee data can prove very costly for HR managers in several ways. It can result in costly lawsuits. Moreover, it can also result in the loss of the reputation and goodwill of the organization.

Data loss can occur due to natural disasters or system failures. It can also be a result of human errors such as the accidental deletion of files.

Data archiving can prevent the loss of confidential employee data by preventing any corruption or accidental deletion of confidential data. It prevents the loss of confidential employee data by ensuring its regular backup. Moreover, it also shields confidential employee data from unauthorized users.

2. Data archiving can help HR managers in complying with regulations and compliance standards

HR managers need to comply with many laws and regulations. These include the Health Insurance Portability and Accountability Act (HIPAA), the Fair Credit Reporting Act, the Family, and Medical Leave Act, the Sarbanes-Oxley Act, etc.

Failure to comply with these laws can cost the company a lot of money. Therefore, it is important that HR managers comply with these laws and regulations.

Data archiving helps HR managers in complying with regulations and compliance standards. This is because data archiving helps HR managers in tracking, auditing, and protecting employee data.

3. Data archiving can help HR managers in tracking employee data

HR managers need to maintain all employee records. These records include correspondence, employee files, employee documents, etc. Maintaining such records manually is quite difficult and can result in the loss of employee data.

Data archiving can help HR managers in tracking employee data. It can help in organizing the records of each employee. Moreover, these records are organized in a systematic manner. Implementing cloud archiving software can help HR managers in tracking employee data in an effective manner.

4. Data archiving can safeguard employee data

Maintaining the confidentiality of employee data is very important. If the confidentiality of employee data is lost, it may lead to the misuse of personal information.

This can prove very costly for both the employee and the organization. . Furthermore, it can also affect the reputation of the company and may even result in lawsuits. 

Data archiving can help HR managers in safeguarding confidential employee data. It can help in restricting access to confidential employee data to authorized users. Moreover, data archiving also helps in tracking the source of any unauthorized access.

5. Data archiving can help HR managers in retrieving employee data quickly

If an employee faces a workplace issue, the concerned HR manager needs to resolve the issue as soon as possible. Therefore, it is important for HR managers to respond quickly to employee issues.

Data archiving can help HR managers in retrieving employee data quickly. Archiving solutions index all the data stored in the database, which makes it easy to retrieve all the data. They also allow advanced search options, which make it easy to search for specific employee data.

6. Data archiving can help HR managers in reducing litigation risks

Lawsuits are very expensive. Therefore, it is important that HR managers reduce litigation risks.

Data archiving helps in the preservation of crucial evidence. This can help in resolving legal issues such as sexual harassment, racial discrimination, etc. Data archiving allows HR managers to keep a record of all employee data, which is required for resolving legal issues.

Moreover, data archiving also helps in resolving compliance issues. It can help in resolving compliance issues by providing reports, audit trails, etc. HR professionals can use this data to eliminate any compliance issues and ensure complete compliance.

Over to you

The benefits of data archiving are tremendous. However, most HR managers are not aware of the benefits of using data archiving.

It can help HR managers in increasing the efficiency of their department. It can also protect confidential employee data. Moreover, it also ensures compliance with privacy laws and regulations. Hence, there is no doubt that HR managers should seriously consider data archiving.

Why Cyber Security Is Important For Business?

Cyber security can be a business issue. If it happens, it’s probably going to impact your online presence and risk your customer’s data. But it doesn’t have to be! Use these tips to make cyber security part of your business-building mission instead.

The Three Types of Cyber Security

Cybersecurity is an important topic for businesses of all sizes. It is essential to implement managed IT services Alpharetta, whether your company manufactures products or provides services online. Here are three types of cyber security:

1) Data Security

Protecting your data is one of the essential aspects of cybersecurity. If you have confidential information, you need to ensure it’s protected. Especially if you need to save data on clients, agreements, and sales, use a sales commission calculator to always keep on track. 

Cybersecurity experts recommend using strong encryption and authentication methods to protect your data from unauthorized access.

2) Infrastructure Security

Your business’s online infrastructure is key to its success. If it’s compromised, your business could experience serious consequences. 

Ensure your website is well-configured and up-to-date, and keep an eye on your network traffic or computer systems for signs of intrusion. Entrust your efforts to have a safe experience online, to professionals from our top ranked West Palm Beach web development agency. 

3) Human Resources Security

If a hacker obtains access to a worker’s personal information, they could use those facts to damage the company’s reputation. 

Ensure you have comprehensive employee privacy policies in place and keep track of who has access to sensitive information.

How To Stay Safe Online Today?

Businesses should take cyber security seriously because it could have serious consequences for the organization if a cyber attack occurs. 

Hackers can steal confidential information, damage company reputation, and disrupt business operations. To ensure that your business is protected, follow these tips: 

1. Install antivirus software on all devices used in the business.

2. Educate employees about the importance of cyber security and how to protect themselves.


3. Create a policy governing social media and other online channels in the workplace.


4. Secure data using strong passwords and firewalls.


5. Monitor network activity and track suspicious activity using monitoring tools.

How To Protect Your Business From Cybercrime

Cybercrime is a growing problem that you can’t avoid being blind to. It is a serious issue, not just for individuals but also for businesses.

 What Measure Can You Take To Improve Your Protection?

 1. Keep up-to-date with the latest cybersecurity threats. Be familiar with the different types of cyberattacks and know how to identify them. 

Implement privileged access. It allows administrators to fix and resolve problems faster and access data unavailable to regular users. 

Privileged access is meant for individual users or groups of users based on their roles in the organization.

2. Educate employees about potential cyber threats and how to protect themselves. 

One of the best ways to protect your business from cybercrime is to inform your employees how to identify and report online threats and what steps to take if they encounter them. 

Train them about data security and privacy, and encourage them to use antivirus software and other protective measures. 

Finally, regularly update your employees on the latest technological advances that could help protect their business against cybercrime.

3. Install effective security measures such as firewalls, antivirus software, and intrusion detection systems (IDSs). 

4. Regularly back up your data in a secure location so you can restore it if necessary. Keep copies of essential files offsite in case of a burglary or other data loss. 

5. To protect your business from cybercrime, you need to be proactive and monitor your systems constantly. You should also have a detection system to alert you when malicious activity is detected.

Here Are Some Tips On How To Monitor Your Business For Cybercrime:

1. Keep an eye on your network traffic and scrutinize all data that flows through your network for signs of suspicious activity.

2. Install antivirus software and keep it up-to-date. Malicious code can enter your system through email, file sharing, or other means.

3. Monitor your online accounts and passwords. Ensure that all funds used by your business are secure and that passwords are strong enough to protect against unauthorized access.

4. Use firewalls and intrusion detection systems (IDS) to block unauthorized access to your systems.

Cyber Security Importance For Business

Cybersecurity is vital for businesses because it helps protect their data, systems, and networks. Cybercrime includes any illegal activity in the virtual world or through computer networks. It can consist of theft of information, sabotage of designs, or attacks against individuals. 

Businesses need to protect themselves from cybercrime, including installing antivirus software and firewalls, encrypting data, and managing logs. They also need to educate employees about cyber security and encourage them to report any suspicious activities.

The best way to prevent cyberattacks is by working with a cyber security firm that can help your business identify and mitigate potential threats.

The Benefits of Cyber Security

Cyber security is essential for businesses because it can protect companies from cyberattacks and data breaches.  It can also help companies to maintain compliance with governmental regulations.

Cybersecurity can also improve the performance of businesses by protecting against malware and cybercrime. In addition, cybersecurity can help to protect the reputation of companies. 

Finally, cybersecurity can help companies recruit new employees knowledgeable about its processes and efficient methods.

1: Increases Productivity & Reputation

Cyber security is an essential aspect of business because it can improve productivity. 

For example, if a company’s systems are not secure, employees will probably pause from completing their work, resulting in lost time and delayed progress. 

Additionally, if a company’s systems are hacked, confidential information may be compromised. This could damage the company’s reputation and image and lose customers. 

Cyber security also facilitates communication and collaboration between employees. For example, if someone is working on a project and needs access to a file located on a server that is not owned or operated by the company, they may need to contact the IT department to get permission to access the file.

2: Adaptable Solution to All Businesses

Cybersecurity is an ever-growing concern for businesses of all sizes. The potential for cybercrime to impact any organization, no matter how large or small, gets real day by day. 

Cybersecurity threats can come from anywhere globally and include viruses, malware, spyware, phishing scams, etc. 

Businesses of all types are at risk when it comes to cybercrime. 

Small companies may be more vulnerable because they often don’t have the resources or expertise to protect themselves.

On the other hand, large businesses may be more likely to suffer a data breach that could lead to stolen or compromised customer data.

3: Steady Website Performance

Industries that rely on the internet for their day-to-day operations are at a higher risk for cyberattacks. Cybersecurity also helps companies maintain regulatory compliance, protect customer information, and reduce the risk of business disruption. 

There are various efficient plans to consider before you take concrete action to improve your enterprise’s cybersecurity posture: 

1. Installing antivirus software and regularly scanning for malware.

2. Implementing solid passwords and limiting access to sensitive files and systems.

3. Maintaining up-to-date firewalls and intrusion detection systems.

4. Educating employees on best practices for online security and protecting personal information.

4. Protects Business from Losses

Cyber security is a crucial segment of any business’s protection from digital threats. Cybersecurity can help prevent data breaches, identity theft, and other attacks that damage a business’s reputation and bottom line. 

Some of the most well-known methods to protect your business from cyber threats include installing antivirus software, deploying firewall rules, and training employees to identify and avoid online risks. However, the most successful cyber security strategy is always tailored to the specific needs of your business.

5: Enhances Safe Experience

Cyber Security is fundamental for companies because it protects against online threats and cybercrime. It protects your systems and data from unauthorized access, hacking, and viruses. 

Cybersecurity also includes protecting your organization’s reputation by preventing public exposure of confidential information. It encompasses the overall security program for identifying risks, assessing vulnerabilities, developing, implementing controls, monitoring, and evaluation.

There are many ways to protect your business against cyberattacks. You can use firewalls to protect your systems from unauthorized access. 

You can also install antivirus software to protect your computer against viruses and spyware detectors to protect your computer against spying by hackers. 

Conclusion

Cyber security professionals work to protect businesses against these types of threats by implementing appropriate safeguards and protocols. 

Cyber security is an essential issue for businesses of all sizes. The theft or destruction of data, intellectual property, and customer information can significantly impact a company’s bottom line. 

They also work to educate employees about the importance of cyber security and the dangers of cyber-attacks.

Best Practices for Outsourcing Data Services

A lot of businesses today use cloud-computing in one way or another. Cloud-based services became widely popular over the years and companies of all sizes make use of them. Allowing a third-party vendor or a service provider to handle your business needs turned out to be cost-effective, beneficial for business scaling and, of course, convenient.

One of the most popular cloud-based services is data services, commonly known as DaaS (Data as a Service). But what does that mean? Simply put, data services are also web services designed to handle programming and logic for data virtualization in a cloud infrastructure. 

In other words, data can be delivered anywhere from a centralized spot or various locations, thus allowing companies to leverage data to its fullest potential in any situation. However, outsourcing these activities is the tricky part. Finding a reliable outsourcing partner is the first priority and sorting out any concerns is vital. With that in mind, here are a few best practices for outsourcing data services. 

Determine your needs

For some time now, many companies believed that only large enterprises could afford to outsource data services and other business operations. However, over the years, outsourcing became much more accessible and affordable. 

Therefore, the question isn’t about whether you can or can’t outsource but about why you should outsource. That said, you must determine your needs and the reasons for outsourcing before you actually commit to it. 

When outsourcing data services, take into consideration the fact that data is stored in the cloud and made available to anyone within the company on-demand. 

Data can be provided to users as information that goes through various tools, applications and analytics. Therefore, if your business need is to scale properly and grow, your main reason to outsource data services would be more informed and data-driven decisions this type of service can provide.  

Choosing the right outsourcing partner

There are many cloud-based data service providers nowadays. You have to find an outsourcing partner that will meet your business needs. That doesn’t have to be difficult if you commit time and effort to conduct some research, beforehand. For example, here are a few things you should focus on when choosing an outsourcing partner:

  • Look for a partner with experience and expertise to match your needs.
  • Check for any online reviews regarding their services.
  • Check if they use the latest technologies and solutions.
  • Make sure they follow the best practices.
  • Ensure that they’re transparent.
  • Check how they communicate with clients.
  • Determine how they secure data and if they’re compliant with regulatory requirements.

Consider the benefits and advantages

Not all providers are the same, even if it seems that they all offer similar services. Looking for unique advantages and benefits is vital when choosing an outsourcing partner. Everyone has a unique sell and it’s up to you to determine which of those unique offers will provide your business with the right advantage. 

For example, an enterprise cloud computing solution allows you to migrate vital business applications to the cloud while allowing you to leverage improved cloud architecture with enhanced security protection. 

This type of service provides more benefits than simple data services. Moreover, considering other advantages that will benefit your business in some way is also important. Here are a few things you should keep an eye out for: 

  • Support for remote work – Delivering information via data services means data access on any device regardless of the geographical location.
  • Data backups – Ensuring there’s no data loss in case of a server failure, disaster or other issues.
  • Ability to boost organizational transformation – Supports companies in the process of digital transformation.

Addressing concerns

Your outsourcing partner should be able to address any concerns you might have regarding outsourcing data services. Every company is concerned about something, especially when it comes to allowing a third-party to access, store and manage your data. 

Therefore, talk to a potential outsourcing partner about those concerns before you decide to partner up with them. How they approach those issues should tell you a lot about their capabilities. Here are a few common concerns companies have when outsourcing data services:

  • The security of data and usability of services
  • Hardware resources and server environment
  • Control of data and data retention in case of a disaster
  • Server downtimes
  • Reusability of data for future development
  • Hidden costs and additional fees

Every cloud-based service provider should have policies and practices that will address such concerns. After all, outsourcing relationships should be based on trust. If your potential outsourcing partner cannot ensure that they can meet your expectations, you should look elsewhere. 

Choosing an outsourcing partner isn’t difficult but it’s a time-consuming task. If you don’t conduct the necessary research, you may make a mistake. Therefore, an outsourcing partner for data services isn’t just a service provider but, indeed, a partner that will help your business grow, develop further and make the best possible use of data.

Q & A with David Green | The HR Tech Weekly®

People Analytics Is Core to the Future of the HR Function: Q&A with David Green

People Analytics Is Core to the Future of the HR Function

Today our guest is David Green, a true globally respected and award winning writer, speaker, conference chair and executive consultant on people analytics, data-driven HR and the future of work.

David is the Global Director, People Analytics Solutions at IBM Watson Talent. He is also the longstanding Chair, of the Tucana People Analytics conference series, the next edition of which – the People Analytics Forum, takes place in London on 29-30 November.

David has spoken at conferences and/or worked with people analytics leaders in over 20 cities in the past year including San Francisco, Sydney, London, Paris, Singapore, New York, Amsterdam, Moscow and Berlin. This affords David with a unique perspective and insight into what’s working, what’s not, and what’s forthcoming in the field of people analytics.

The interview is hosted by Alexey Mitkin, Founder, Publisher and Editor-in-Chief, The HR Tech Weekly® Online Media Co.

1. Hi David, and first of all thank you very much for this interview with The HR Tech Weekly®. The year of 2017 is approaching its end. What made a difference this year in the field of people management and HR technologies?

Thanks Alexey, it is a pleasure to speak with you. For me, 2017 has been a pivotal year in the field as the realisation that people analytics is core to the future of the HR function has become far more widespread. In one of his recent articles (see here), Josh Bersin described people analytics “as the lynchpin of success for HR in the next few years”, and I have to say I completely agree – although that probably doesn’t surprise you!

We still have some way to go in terms of widespread adoption and just as importantly in embedding analytics and data-driven decision making within organisational culture, but the acceptance that this is core rather than peripheral is a welcome momentum shift.

Elsewhere, the move from many companies to develop programs and technologies that personalise the candidate/employee experience in areas such as talent acquisition, onboarding, learning and mobility is also positive. It’s about time that we have rich and personalised experiences at work similar to those we already enjoy as consumers. Data and analytics plays a foundational role in this.

2. People analytics is an area of profound interest to business leaders. What do you see as the main trends in the people analytics space?

You are right to highlight the heightened interest levels in people analytics Alexey. I’d summarise the main trends as follows:

  • More and more organisations getting started with people analytics – 2017 seems to have been the year that the talking about when to start analytics stopped and the actual hard work in creating capability began for many organisations. So, the number of organisations in the early stages of their people analytics journeys is on the increase and many will face similar challenges in terms of data quality, skills and capabilities, stakeholder management/education and project prioritisation. Our recent IBM Smarter Workforce Institute research on HR Analytics Readiness in Europe demonstrated though that most organisations still have a long way to go.
  • Developing an analytical culture: this is key for organisations that want to develop sustainable capability in people analytics. This means exciting, equipping and enabling HR Business Partners, and clearly demonstrating and communicating the impact of people analytics initiatives within the organisation. This is the focus of many companies that have built initial capability and success in people analytics.
  • Ethics and privacy concerns: this continues to be the most important and challenging aspect for practitioners. Research from Insight222 reveals that 81% of people analytics projects are jeopardised by ethical and privacy concerns. With the EU GDPR legislation coming into effect in May 2018 and the emergence of new employee data sources, focus on this area will continue to be high.
  • The consumerisation of HR – as per my earlier point, many organisations that have developed people analytics capability are looking at ways to understand and improve the employee experience. In addition to the personalised machine-learning based technologies referenced earlier, this includes efforts to understand and analyse employee sentiment. You can’t do either of these things without analytics so those organisations that have already developed people analytics capability are in pole position to take advantage here.
  • Organisational network analysis (ONA) – interest in ONA has exploded in 2017 as organisations seek to better understand team effectiveness and productivity. Practitioners interested in this burgeoning area of people analytics should check out the work of Rob Cross, recent articles by Josh Bersin and vendors like TrustSphere, Humanyze and Worklytics. Expect interest in this area to continue to soar in 2018.

3. On the eve of People Analytics Forum 2017 could you slightly open the curtain on what makes an ideal agenda in modern HR analytics, workforce planning and employees insights then?

I always enjoy chairing the Tucana People Analytics World and People Analytics Forum events as the agenda is always cognisant of the fact that the diversity of delegates in terms of where they are with analytics varies widely. As such, the three tracks: Start (for those getting started), Grow (for those building capability and looking for deeper insight) and Advance (for advanced practitioners and those exploring new data sources) means there is something for everyone. This is hugely important as in my experience the people analytics community is highly collaborative and there is a mutual desire amongst practitioners for shared learning. The Tucana events provide this in spades.

4. It was heard that some attendees of conferences recently formed a viewpoint that the slow adoption of analytics has been because of a lack of practical cases delivered by speakers. Your point of view on the problem will be of great influence.

I haven’t really heard this viewpoint from many. I would argue the contrary in fact that most of the conferences I attend feature numerous and diverse case studies from practitioners. I think you need a balance of speakers from the practitioner, consultant, vendor and analyst communities as each provides a slightly different perspective – indeed much of the innovation in the space is coming from the vendor community. As such, at the conferences I chair, speak and attaned there is normally much to inspire delegates whatever their maturity level when it comes to people analytics. Of course, there is a distinction between being inspired and immitation as each organisation faces different business challenges and has unique cultures. If I could offer one piece of advice to practitioners, whatever their maturity level, it is to channel their efforts on the key business challenges that have the biggest impact within their organisations.

5. What new data-driven HR solutions are on your watchlist and why?

As I mentioned before much of the innovation in the people analytics space is coming from the vendor community and I always recommend to practitioners to keep abreast of the latest developments here. Data-driven companies to look at include: TrustSphere, Alderbrooke Group, Aspirant, Glint, Visier, Crunchr, Workometry, Peakon, OrgVue, Headstart, Worklytics, Humanyze, Qlearsite, One Model, hiQ Labs, Cultivate and StarLinks; and those are just the ones I can remember off the top of my head!

If you’ll forvive the self-promotion, I would like to add that IBM is also doing some groundbreaking work in this space through bringing Watson to HR, particularly in the talent acquisition and the employee experience areas – see more here.

6. What advice would you give to HR professionals looking to boost their careers within the people analytics space?

Well, firstly you should get yourself along to the People Analytics Forum and read my articles on LinkedIn!

Seriously, analytics is a core capability for the future HR practitioner and it won’t be long before the likes of CIPD and SHRM build this into their educational programs. Until then, find some courses (like the Wharton School course on Coursera), attend some conferences, read some books (like The Power of People and the Basic Principles of People Analytics), and seek to learn from analytics professionals both in and outside of HR.

For me, HR is one of the most exciting places in business to work in at the moment and the increased use of analytics and data-driven decision making is one of the reasons why I believe this to be the case.

The Recruiters Guide to ATS Data Migrations | The HR Tech Weekly®

The Recruiters Guide to ATS Data Migrations

Data Migrations Don’t have to be Painful


Data Migrations Don’t Have to Cause Disruption

Data migrations are often viewed by business professionals as a major obstacle that is simply too difficult and too costly to take on. One of the most common reasons people give for not wanting to move Applicant Tracking Solution (ATS) providers is the fear of a difficult data migration. It’s unfortunate, but recruiters are often willing to suffer and pay for antiquated products that they know aren’t helping them do their job and be successful. Instead, the inferior solutions are viewed as “good enough for now”’ given the perceived risk of a move.

Vendors should strive to take the fear and risk out of a data migration, so busy recruiter teams are free to evaluate the merits of a system move on benefits and not just risk.

The decision to upgrade your ATS should be based on the functionality, productivity gains, and the long-term value they will provide. This guide will provide you all the information needed to successfully assess and predict how a data migration is likely to go once an ATS solution is chosen.

Migrations Done Better

To be frank, the actual migration of data isn’t really that hard. Yet it’s incredibly common to hear time and time again, “So and so completely screwed up my last migration” or “A friend of mine did a migration and it was a total mess.” Why is this? In our experience, it is rarely a pure technical problem, but instead comes down to the parties involved. Data migrations are simply more successful when both the customer and the vendor are flexible, reasonable and strive for a shared goal.

For the vendor, having the technical chops is a must, but they need to pair that with a flexible and consultative approach to the migration. They must be reasonable, transparent and mentoring in their approach. The best vendors will have a genuine invested interest in the shared goal of a successful migration, with an eye on the long term customer relationship.

Extract, Transform and Load (ETL)

For the customer, there is a need to be flexible as well. Every system is different and allowing your data and processes to transform and adapt is crucial. They must respectfully understand that migrations are not free, they take time to do right and there are real costs associated with that time. When it comes to migrating systems, almost anything is possible, but the costs can quickly rise and the additional benefits can fall just as quickly.

Extract, Transform, and Load (ETL)

The process of moving data from one system to another is as old as computers themselves. There is a well-established pattern for doing so, known as ETL. Extract (getting the data out of your old system), transform (converting / mapping it to the new system) and load (getting it into the new system). While the process may seem like a challenge, experienced IT consultants do successful migrations every day. Once the migration is complete recruiting professionals can get back to the business of aligning the right talent, with the right opportunity, at the right time.

This is just a snippet of Crelate’s eBook Guide for dealing with Data Migrations. To download the full Guide click Here.


Source: The Recruiters Guide to ATS Data Migrations – Crelate

5 Ways Businesses Can Cultivate a Data-Driven Culture | The HR Tech Weekly®

5 Ways Businesses Can Cultivate a Data-Driven Culture

The pressure on organizations to make accurate and timely business decisions has turned data into an important strategic asset for businesses.

In today’s dynamic marketplace, a business’s ability to use data to identify challenges, spot opportunities, and adapt to change with agility is critical to its survival and long-term success. Therefore, it has become an absolute necessity for businesses to establish an objective, data-driven culture that empowers employees with the capabilities and skills they need to analyse data and use the insights extracted from it to facilitate a faster, more accurate decision-making process.

Contrary to what many people think, cultivating a data-driven culture is not just a one-time transformation. Instead, it’s more like a journey that requires efforts from employees and direction from both managers and executives. In this article, I am sharing five different ways businesses can accelerate their transformation into a data-driven enterprise.

1. Establish a Clear Vision

Establishing a clear vision is essential for putting data into the DNA of an organization. An executive, preferably the CIO or CDO, should present the vision to the workforce and provide the rationale for this shift in culture and in benefits. This, in turn, will set stage for the work ahead and provide an opportunity to clear misconceptions.

 2. Ensure Easy and Secure Access to Data

Data can be truly considered an asset when its accuracy is trusted, its provenance is well established, and its complete security is ensured. On the other hand, optimal utilization of data requires governance and openness. To ensure this, you should consider a layered approach to make data available in a manner for which its security, governance and confidentiality is not compromised.

3. Keep Your Data Clean and Up-to-Date

It’s very hard to analyze and extract something valuable from poorly organized, inaccurate, dated information. Therefore, you should develop clear mechanisms regarding the collection, storage, and analysis of data. Make sure all your data inputs are centralized in a single location for easy integration and regular updates. This way, your employees can gather the most recent information from a single place and make more accurate decisions.

4. Create Agile Multi-Disciplinary Teams

People, not tools drive the culture of a company. Therefore, in order to create a fact-driven work environment, businesses should invest in the skills of their people. Make sure that each team contains at least one member who’s well-skilled and experienced at data analytics.

5. Develop Reward Mechanisms

Sharing data successes is important to inspire others and develop a healthy, competitive, data-driven culture. To share the results achieved by a team or an individual, you can use different communication tools, such as videos and blogs, organize special gatherings, or share the results on your company portal. Make sure that you choose initiatives that are in line with your company’s long-term strategy. For example, if your objective is to penetrate new markets or gather more information about your target customers, you should acknowledge and reward the initiatives that help you make progress towards these strategic goals.

Unless communicated across an organization, data remains worthless. To extract the right information and insights from structured and unstructured data, it is important that you focus your efforts on cultivating a data-driven culture that empowers employees with the resources and skills they need to leverage data and obtain the right information at the right time to make more accurate decisions.

About the Author:

Ronald van Loon is Advisory Board Member and Big Data & Analytics course advisor for Simplilearn. He will contribute his expertise towards the rapid growth of Simplilearn’s popular Big Data & Analytics category.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and IoT, please click “Follow” and connect on LinkedIn and Twitter.

This article was originally posted on Simplilearn

Source: 5 Ways Businesses Can Cultivate a Data-Driven Culture | Ronald van Loon | Pulse | LinkedIn

Securing Competitive Advantage with Machine Learning | The HR Tech Weekly®

Securing Competitive Advantage with Machine Learning

How to Secure Your Competitive Advantage with Machine Learning | The HR Tech Weekly®

Business dynamics are evolving with every passing second. There is no doubt that the competition in today’s business world is much more intense than it was a decade ago. Companies are fighting to hold on to any advantages.

Digitalization and the introduction of machine learning into day-to-day business processes have created a prominent structural shift in the last decade. The algorithms have continuously improved and developed.

Every idea that has completely transformed our lives was initially met with criticism. Acceptance is always followed by skepticism, and only when the idea becomes reality does the mainstream truly accept it. At first, data integration, data visualization and data analytics were no different.

Incorporating data structures into business processes to reach a valuable conclusion is not a new practice. The methods, however, have continuously improved. Initially, such data was only available to the government, where they used it to make defense strategies. Ever heard of Enigma?

In the modern day, continuous development and improvement in data structures, along with the introduction of open source cloud-based platforms, has made it possible for everyone to access data. The commercialization of data has minimized public criticism and skepticism.

Companies now realize that data is knowledge and knowledge is power. Data is probably the most important asset a company owns. Businesses go to great lengths to obtain more information, improve the processes of data analytics and protect that data from potential theft. This is because nearly anything about a business can be revealed by crunching the right data.

It is impossible to reap the maximum benefit from data integration without incorporating the right kind of data structure. The foundation of a data-driven organization is laid on four pillars. It becomes increasingly difficult for any organization to thrive if it lacks any of the following features.

Here are the four key elements of a comprehensive data management system:

  • Hybrid data management
  • Unified governance
  • Data science and machine learning
  • Data analytics and visualization

Hybrid data management refers to the accessibility and repeated usage of the data. The primary step for incorporating a data-driven structure in your organization is to ensure that the data is available. Then you proceed by bringing all the departments within the business on board. The primary data structure unifies all the individual departments in a company and streamlines the flow of information between those departments.

If there is a communication gap between the departments, it will hinder the flow of information. Mismanagement of communication will result in chaos and havoc instead of increasing the efficiency of business operations.

Initially, strict rules and regulations governed data and restricted people from accessing it. The new form of data governance makes data accessible, but it also ensures security and protection. You can learn more about the new European Union General Data Protection Regulation (GDPR) law and unified data governance over here in Rob Thomas’ GDPR session.

The other two aspects of data management are concerned with data engineering. A spreadsheet full of numbers is of no use if it cannot be tailored to deduce some useful insights about business operations. This requires analytical skills to filter out irrelevant information. There are various visualization technologies that make it possible and easier for people to handle and comprehend data.

Want to learn more about the topic? Watch replay of the live session with Hilary Mason, Dez Blanchfield, Rob Thomas, Kate Silverton, Seth Dobrin and Marc Altshuller.

Follow me on Twitter and LinkedIn for more interesting updates about machine learning and data integration.


Source: Securing Competitive Advantage with Machine Learning | Ronald van Loon | Pulse | LinkedIn

Unlocking Business Growth through HR and People Science

Unlocking Business Growth through HR and People Science

Written by Adam Hale, EVP of Sage People.

Why fast-growth companies are bounding ahead?

For businesses to sustain growth, be more productive, and attract and retain the best talent in today’s increasingly global and competitive climate, they need to use data intelligently. Data analytics has been happening for a long time in marketing, sales and finance, but now we’re seeing HR wake up to the benefits. Traditionally, HR functions capture information about employees passively in order to meet legislative requirements but organizations are now realizing it has far more potential with data analytics which is also leading to the rise of the Chief People Officer role.

While 83% of HR leaders recognize that all people decisions should be based on data and analytics, the reality in the workplace is very different. Recent research Fairsail (now Sage People) conducted amongst 500 global HR leaders for its report ‘The use of people science in fast growth companies’ showed that only 37% of those surveyed claiming to already use a data-centric approach.

Why fast-growth companies are bounding ahead

However, there is one business group making the most of its people science capabilities: the fast-growing ‘gazelle’ organizations – companies which have increased their revenues by at least 20% annually for four years or more. The research shows that these organizations are far more advanced in HR than the average company. They have full HR automation (80% v 53%) so they can report faster and more easily on a range of influential HR metrics. If asked to report on headcount within a single day, 84% can do it; that’s 16 percentage points better than non-gazelles. They can more easily report on high potential employees (58% v 42%) and on personal growth (58% v 41%).

These gazelle organizations can see what’s working and what needs to change and can take action confidently to make sure they’re supporting employees to achieve their potential. While gazelles are the one’s bounding ahead, all is not lost as almost every organization we spoke to did have an awareness of the potential to use people and HR data to improve their business.

Use Chief People Officers to close the gap

Even if they haven’t yet marshalled it effectively or decided exactly how they’ll use it, a staggering 92% said they’d like to use people science to improve their business. And another 65% said that in the next 12 months they need to achieve greater data visibility.

The research also positively showed a movement across all organizations to make a highly visible change that reflects the shift to a people focus: 17% have appointed a Chief People Officer to put people science at the heart of their business. The gap between the gazelle approach and the non-gazelle approach looks set to narrow in the very near future, as all businesses take action on their ever-growing awareness of the importance of people analytics.

Tap into data to unlock rapid growth

So what can we learn today from these market-leading organizations? Seeking and seizing opportunities and using every lever a company can get its hands on to improve performance is the key to rapid growth. Organizations shouldn’t be afraid to explore the latest people thinking, or adopt the tools that gather data and turn it into business intelligence. The challenge is to put systems and tools in place to collect and analyze it for tangible benefit – as 31% revealed, they don’t currently have the right technology in place to interpret the necessary people science. Automation helps companies move away from old-style HR with its laborious administration and manual processes and spreadsheets. With this, people teams should be able to explore the workforce data to understand what employees want and need. They can take action to provide great workforce experiences that makes the most of talent to fuel productivity and business growth.

To read the full ‘The use of people science in fast growth companies’ report, please visit www.fairsail.com.

About the Author:

Adam Hale, CEO at Fairsail

Adam Hale, EVP of Sage People, previously acted as Executive Chairman and Non Executive Director having spent over 30 years in the technology industry. He was formerly Head of Software and European Technology at Russell Reynolds Associates, the leading executive search firm and before that ran large system implementation projects at Accenture. Adam is also a committee member of the Technology Leadership Group (TLG) for the Prince’s Trust.


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Customer Success | The HR Tech Weekly®

Journey Science in Telecom: Take Customer Experience to the Next Level

Journey Science in Telecom: Take Customer Experience to the Next Level

Journey Science, being derived from connected data from different customer activities, has become pivotal for the telecommunications industry, providing the means to drastically improve the customer experience and retention. It has the ability to link together scattered pieces of data, and enhance a telco business’s objectives. Siloed approaches are becoming obsolete – take call centers as an example – there is only so much that you can do with data from only one system.

By using insights from customer journey analytics, telco businesses can better measure the user experience, and make informed decision for refining it. The data not only allow them to take proactive approach towards customer satisfaction, but enable the prediction of future failures as well. With customer journey analytics, you can evaluate the touchpoints to journeys, and revamp your strategies to better cater to customers’ needs.

In the telecom industry, it is difficult for a business to effectively manage the massive volume of data with the existing systems and technology. There are several aspects where telecom companies need to make improvements, such as reduce costs, improve customer experience, increase conversion rates, and many more. To do so, they need to derive meaning from the collected data by finding connections among them. This linked data is also known as journeys. Journeys provide you with relevant data that enable you to make well-grounded business decisions by looking at customer transactions as a whole, and determining where direct improvements are needed.

Customer Journey Analytics is Transforming Telecommunications

Many leading telco businesses are embracing the Journey Science concept, and deem it to be the best way to make greater impact on the target audience. One good way to better understand digital journeys is through a multi-channel, end-2-end, view. Journey Sciences, at its best, provides enhanced data accessibility and increased analytics agility, and helps in weaving together disparate pieces of data. This makes it possible for telco businesses to link together structured and unstructured data back to their strategic objectives, and quickly modify them to ensure they cope with the evolving customer demands. However, in order to get insight into customer experience through journey analytics, it is critical to focus not only on the individual moments but the customers’ end-to-end experiences as well.

Customer Experience Boost

The main benefit of customer journey analytics for telco companies is that it enables them to better recognize customer needs, and assess their satisfaction level. While most people think Journey Science is all about marketing, it mainly focuses on the services domain. For example, a customer seeking technical support for their device has multiple paths to resolution. Journey Science enables businesses to evaluate each step of the journey experience, and figure out the critical points that could negatively impact customer experience. With this kind of information, businesses can develop strategies to overcome hurdles customers face on all such touchpoints, resulting in improved customer experience.

Improving Customer Journeys through Transparency

Connecting the Dots

For improving customer experience, it is essential to connect all the data down to the individual customer level to fully understand the required changes. For telco businesses to completely understand customer journeys, they must gather data from many different channels, and track the individual journey the customer experiences. Typically, more than 50 percent of customers make multi-channel journeys; meaning, in order to understand their behavior, establishing connection among all the data is extremely important. Because of the deep roots of technology in today’s common lifestyle, many journeys start from digital channels, but eventually go into a human channel for completion.

Utilizing Aggregate and Raw Data

Apart from giving a complete picture of customer journeys, the analytics let you tap into different levels of aggregation, allowing you to view raw data as well. With journey mapping, telco businesses can benefit from both in-depth data points and aggregated data sets. Since a single customer journey can compile hundreds of thousands of data points, having aggregated views makes it much easier to pinpoint and prioritize the problematic areas. On the other hand, some journeys may yield unclear results, for example, unusual behavior of a customer on a webpage. In such a case, having access into the raw data renders the ability to focus on one key area and get invaluable insights.

Making Changes through Data Availability 

Effective utilization of data from customer journey analytics allows telco to revamp their strategy as well as make smaller improvements on a continuous basis. Getting immediate feedback regarding a certain change is critical for understanding its impact. You can determine whether the intended results will be realized, or should you scale-up or sustain the change. However, a manual, project-based approach that only provides an overview of the required data will not be enough to transform journeys successfully. Instead, you should opt for an agile, iterative, analytic approach that uses continuous data availability.

It won’t be wrong to say that all those ad-hoc, manual, project-based approaches using snapshots of data have severe limitations.

Better data accessibility to more than 18 telco raw data sources as a prerequisite 

How the Customer Journey differs in both Fixed and Mobile Telco

Mobile (mobile data usage, subscriptions, charges, and mobile data access)

Several small customer journeys can be linked together to make improvements to a mobile telco operation. One great way is through customer engagement, i.e. moving down to individualized journeys of each customer instead of mass-segmentation. Journey Science opens doors for mobile telco companies to take personalization up a notch, and provide customized recommendations based on the journeys of each customer. You should also utilize real-time context to enhance customer engagement for better results.

Mobile customer experience comprises of several touchpoints where a subscriber interacts with a service provide agent – it can be during retail, billing, customer support, visible marketing campaigns, and others. Consider three customers below that have 3 different journeys to perform the same action.

Fixed line providers (phone, internet, entertainment)

Fixed line providers have an additional interaction channel with field technicians being deployed to customers’ homes for service. These field service appointments are a major part of customer experience and often have significant variability for different customers. Consider the following journey which involves multiple appointments, agent phone calls, and delays:

Improve key journeys for fixed Telco’s

Journey Science is Moving towards Predictive Analytics

The Journey Science concept is increasingly becoming popular across the telco industry, as it greatly benefits by assessing journeys of individual customers and allow them to develop customized strategies. Moreover, it allows telco businesses to anticipate the potential pitfalls leading to negative customer experience and prevent it altogether. By tapping into the data from customer journey, telco can streamline their operations and provide a better, more satisfying experience to their customers.

Derived value from Customer Journey data by Journey Science & Journey Analytics

In today’s world, customer satisfaction is the keystone for success in every industry, including telco. Businesses should turn to the Journey Science movement, and optimize their processes by carefully analyzing customer journeys and making improvements accordingly. Effective utilization of customer journey analytics leads to better redesigning efforts, ultimately reducing costs, enhancing customer experience, and stretching bottom-line.

About the Authors:

Want to talk more about Journey Sciences? Connect with Rogier van Nieuwenhuizen, Executive Vice President, EMEA region at ClickFox, on LinkedIn and join Journey Science movement on Twitter by following @journey_science and the Journey Science’s LinkedIn Group today.

If you would like to read more from Ronald van Loon on the possibilities of Big Data and Journey Science please click ‘Follow’ and connect on LinkedIn and Twitter.


Source: Journey Science in Telecom: Take Customer Experience to the Next Level | Ronald van Loon | Pulse | LinkedIn

Maturity of HR Analytics Demands Right Foundation

HR Analytics

Currently, there are lot of discussions, articles, and engagements on Analytics for HR. More precise, the People or Workforce analytics when you are considering talent or workforce.

People and Workforce Analytics are a set of analytics to learn and answer the talent management related questions. It could be on workforce planning, talent sourcing, talent acquisition, performance management, talent retention. Or even on employee wellness, culture fit, and engagement. Making the data-driven decision from the business insights is the key purpose of any analytics.

Most of the organizations are still using the fundamental or basic analytics. They are reports based or using descriptive approach. But the workforce, related challenges are on the high increase. And we need a quantitative or a matured approach for handling these. It is necessary to understand the business insight and competitive advantage from the maturity of their HR Analytics.

Maturity Levels for HR Analytics

Before any beginning, it is important to know the possible maturity levels of the Analytics. As it does not only provide the opportunity to create a roadmap for the future. But also to understand the strengths, weaknesses, and possibilities for the growth.

Analytics Maturity Curve

The Descriptive Approach uses operational reporting based on business needs. More focus is on data exploration, data accuracy, and metrics analysis. Advanced reporting is also used for benchmarking, manual decision making and to generate dashboards.

Today, there is already some impressive engagement with Predictive Analytics in many organizations. The predictive approach uses statistical analysis, forecasting, correlations, and development of the predictive models. It helps in making predictions and for taking smarter decisions like in talent management for the organizations. For this, one needs to explore talent data for predictive models and statistical approach. And also needs to get ready with the proper business questions and specific reasons. Otherwise, they are neither actionable nor add any value to the organizations.

Predictive Analytics is also used to remove the human biases from one organization for taking an important decision. It has more resemblance with marketing behaviors while HR reporting mirrors finance.

The major purpose of an analytics is to have business decisions based on the data. Support in decision making and to help in making proper actions. Prescriptive Approach assists in this with optimization, strategic foresight, and real-time analysis. Prescriptive analytics not only anticipates what will happen and when it will happen. But also tell why it will happen.

Cognitive Approach is just the next level to perspective but both of them overlap to some extent. Actually, there is a bit overlapping among predictive, perspective and cognitive approaches.

The cognitive approach helps also in decision automation and applies cognitive computing. With reasoning, machine learning, natural language processing, and intelligence. According to Wikipedia, cognitive computing combines artificial intelligence and machine-learning algorithms. In an approach which attempts to reproduce the behavior of the human brain.

One of the most important part of this maturity curve is the foundation, in fact, most of the time spent here during any analytics project. The basic building blocks for matured and advanced approaches. One must have the basic understanding and preparation for any HR Analytics approaches. And it is advisable to have a proper planning to achieve the best.

Investments are only worth full with good returns, and for that, we need to study, understand and prepare with the basics.

And for this reason, it is also important to understand the foundation, to get started with People Analytics or HR Analytics. It is important to take it on from the beginning, as it is necessary for the long-term benefits and add significant value to the organizations. So let’s explore it.

Foundation for HR Analytics

There are certain aspects and factors which are necessary to get explored before starting any analytics projects. Organizations should have the insights or answers, for all these aspects and open questions related to them, to get the start in a proper way.

Foundation for HR Analytics

  • Data Preparation: The process of collecting, cleaning, validating and consolidating data into a single repository. The most important factor to get started with Analytics. And it is also necessary to collect the right and relevant data sources to help the workforce and the business. Right data at right time could make things easier for the business and for the organization. Another important aspect could be to gather non-HR data. Like net profits, cost effectiveness, sales revenue, and other important metrics from the organization. To add more relevance in the data preparation.
  • Cultural Readiness: Organizations need to specify the need to adopt the disruptions and it must be able to fit into the company culture. Leaders, managers, and key influencers should share the vision. And ensure readiness to drive the initiative throughout the organization. Without this readiness, it is not easy to understand the real value, and will not add any significant impact to the business.
  • Platform Adoption: Most of the HRIS solutions come up with their own analytics options. But they are valuable confine with their functional perspective only. If they are not relevant for the business insights and decision making, there is no meaning to invest in them. So, there is always an option to build the own analytics solution. Based on some available analytics platforms from the market. Another alternative option is to get a partner with an experienced vendor or having the right expert with the right platform.
  • Business Insights: It is necessary to know the business challenges and metrics which are critical for the organization and work for the workforce as well. Based on the issues which are seeking to address, proper data sources need to get defined. Identifying the critical business question from the business partners is necessary. It is also important to clarify the need of Analytics to have a better competitive advantage.
  • Data Integration: Integration always being an important factor for any changes whether on systems or people or data. Proper data integration is necessary among all different systems, businesses, and technologies. Significant for the data sources. Data security, privacy, and protection are also becoming critical challenges for any organizations. Any analytics project must be compatible with laws, rules, policies, and localizations. A close bonding is necessary among IT, HR and Business in this case.
  • Governance: Data quality is the biggest challenge for most of the organizations, especially when working with data based on people. Data is the most important aspects of the foundation. And it is important to prepare them to gain valuable business insights. Data governance plays a vital role in all these so that the data can be trusted and managed. Governance is also needed in terms of management, support, and sponsorship of the company.

By gathering, analyzing and exploring all relevant data one can not only answer the critical business questions. But also can take necessary actions from the interpretations of the data and context.

During analyzing the data one should look at the bigger picture rather than handle small challenges. It would be good if one can focus on making the best decisions for a workforce and the business as a whole. In most cases, an HR Analytics Leader is needed. The one who leads the analytics projects, involved in all decision-making processes and focus on quantifying the impact of talent investments on a business. And also improves some of the core processes within the organization with People Analytics.

One should also know the aspects which are necessary for the foundation of the analytics. It may vary among the organizations, with respective leaders, stakeholders, and Human Resources units. And thus in most of the cases, there is a need for some brainstorming before preparing for any foundation.

Design thinking process could be a game changer for any organization here.

Aspects necessary for the foundation of HR Analytics which should not be ignored at any cost:

  • Creativity: The creative route has a difference from an analytical route. But it is necessary to take a creative approach to gather relevant information, prepare data, developing the model, interpret the insights and even taking the right decision. One needs to be creative as well, to find the best result and taking actions.
  • Knowledge:  Knowledge is the king and no doubt it is a must for the foundation for analytics as well. Whether it is related to the business processes, people, technology, data, statistics or any skills. Knowledge is necessary everywhere. It is also advisable to update the knowledge as well in certain time periods.
  • Expertise: A proper team should be built and it must include diverse individuals from both business and technical side based on the needs. Business Leaders, Business Analyst, Program Managers and other business people could be there on one side. On another side may have Data Analysts, Data Architect, and Data Scientist. Especially in a case of complex analytics projects. Need to involve those experts, who have strong experience in analytics area.
  • Methodologies: An iterative process is needed as the foundational methodology. Starting from business understanding, analytic approaches, data preparation, modeling, evaluation, and deployment. Feedback is also necessary for a well strategic plan here. The methodology should be independent from the technology. As it is providing many tools, applications, and platforms to perform analytics. And it should also provide a framework for processing methods and processes to get the best results. A value driven approach with agile methodology could be used to having higher success rates in analytics projects.

Once we are ready with the foundation for Analytics, we have already started engaging to HR Analytics or People Analytics. But the journey has just begun. There are tremendous opportunities for exploration based on the matured approaches for any organization. Every organization has its own maturity level. And it’s depending on them to decide their future of analytics, based on their further commitment.

About the Author:

Soumyasanto Sen

Soumyasanto Sen — Blogger, Speaker and Evangelist in HRTech who try to think Out of the Box! Engaging with Companies, Startups & Entrepreneurs in driving Transformation.

Professionally Consultant, Manager, Advisor, Investor in HR Tech. Focusing on Strategies, Analytics, Cloud, UX, Security, Integration and Entrepreneurship in Digital HR Transformation.


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Published earlier in Analytics in HR: Why Mature HR Analytics demands the right Foundation