Big Data could create a positive company culture for younger generations


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Big data could create a company culture that is more positive for the younger generation. Furthermore, it could create a happy environment for young professionals working in different business organizations.

It is a known fact that in some business environment, the happiness levels are falling, probably due to the pressure that the high demand brings. Research suggests that 48 percent of workers are not happy in their jobs. Even more worrisome, the depression among the younger generation who are the business leaders in the future is on the rise. This is particularly important to employers since businesses with a highly engaged workforce could experience a seventeen percent productivity increase. This is one reason that business leaders start to look beyond workplace feedback forms and traditional surveys to technology as well as big data analysis to gauge and boost employee well-being.

The technology is beginning to penetrate almost every aspect of business today. From how companies market services and products to how every step of manufacturing process affects the bottom line to people they hire. The advent of social networks and the huge amount of data generated by numerous channels also have given individuals massive options and the discernment to make choices on the products they want to buy and more and more, the companies they choose to work.

A Big data analytics software could build a positive company environment for young professionals today. The following are several ways wherein big data can make a positive environment for the young workforce.

1. Smart Office Design.
An average full-time worker spends about 8 or more hours a day at work, thus making certain the employees are happy and comfortable in the workplace is paramount. A recent study reveals that the happiest employees have bigger control over how and where they work, which mark a new era in the workplace design. To satisfy the expectations and needs of the digital-first generations, businesses turn to big data. For instance, a startup uses people analytics via gathering real-time biometric data on the movement of the employee. With this information, businesses could rethink the office design to reflect where and how employees prefer working on various tasks.

2. Enhancing job roles. The pairing of personal data, such as productivity, people’s assets or skills and preferences with intelligent systems also influence employment models as well as boosting job roles. By using technology, like the workplace wearables, which generate data linked to job productivity, performance and professional satisfaction, employers learn how to connect employees better with work that they are best suited. Intelligent systems would be used more often in the future for analyzing projects, breaking them into smaller tasks, recommend team members who are best fitted to handle certain aspects of projects and generate new job roles.

3. Improving group dynamics. Some workplaces have begun gathering data on employee policies and interactions, which influence productivity. By applying data science to the people side of the organization or business, enterprises could check out and adjust culture policies to enhance productivity as well as boot employee morale, since people would feel that their personal needs are valued more by their workplace.

4. Determining Rock star employees. Big data could help HR admins identify the top-performing employees much faster and more efficiently. Through combining HR data, like performance data, employee demographics, customer feedback and sales data, employers could have a clearer picture on individual employee performance as well as the factors that influence this. With the insights, organizations could reward top performers better and help them develop career paths and also create a more informed profile to look when hiring new employees.

5. Personalized employee benefits. This is one reason why business leaders star to look beyond traditional surveys and also workplace feedback forms to big data analysis and technology to gauge and enhance employee well-being. Huge data promises significant advances in design as well as benefits programs that could boost the ability of an organization to attract and retain the best talent and thus contribute to the happiness of the staff. To attract and keep younger generations, enterprises are growing their employee benefits programs.

Big data could help yield insights that business leaders currently are not able to access. Whether it is a change in break schedules or a need for more customized benefits packages, by taking advantage of data analytics services, organizations could boost productivity as well as employee morale. This will not only result in higher profits and lower turnover rate, but most importantly, it also leads to healthier and happy employees.

Thanks to data analytics, businesses are in a better position of studying prospective candidates and determine with amazing accuracy those who could do the job, the capacity of learning new skills, which may be required in the future.

Dhrumit Shukla
Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years. He is profoundly skilled and well experienced in providing software development services on various technologies ranging from Microsoft .NET to JAVA, SalesForce, BizTalk, SharePoint, PHP, Open Source, iOS, Android, Pentaho and the list goes on.


  1. Dhrumit, Big data is a great tool to enhance company culture. Many uses of big data have a measurable positive impact on outcomes and productivity. Areas such as record linkage, graph analytics deep learning and machine learning have demonstrated being critical to help in the HR applications you mention as well as to fight crime, reduce fraud, waste and abuse in the tax and healthcare systems, combat identity theft and fraud, and many other aspects that help society as a whole. It is worth mentioning the HPCC Systems open source offering which provides a single platform that is easy to install, manage and code. The built-in analytics libraries for Machine Learning make it easy for users to analyze Big Data. The free online introductory courses allow for students, academia and other developers to quickly get started. For more info visit:


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