Companies are investing massively in acquiring competitive “digital advantage”: data scientists are requested everywhere, data warehouses are growing and developing, data analytics software is offered for any kind of business operation and scale. Nevertheless, many of these efforts do not have much to show for their efforts. And it’s possible they never will. What’s the problem?
Do you remember the times in your company, when in order to get the report you needed to access, compare and merge data from 3-5 different systems? Then in order to get the ratios and conclusions you asked your controller to perform the calculations and then revised it several times? This work was much far from value data management, taking much time and efforts to control the overall business situation.
Motivational Data Analytics: Lessons From The Best Companies. Part II. Wide usage of data for identifying best employees’ motivation is more than priority. It formulates data culture in the company – evidently, as a consequence of data strategy. Strategy and culture are among the primary levers to maintain organizational viability and effectiveness. If the company …
Companies today are awash in data and there are still not so many industry-specific solutions to increase effective data management and profit-orientation. The difference is evident: before “Big Data Age” employers were searching for experienced employees with solid business experience and background. Now are frequent such requirements that imply quantitative analysis tools experience, big data analytics experience etc.
Workforce performance is a problem that is highly important for the managers of any level. How to get the best from your people? How to measure the ROI that you make in your employees, or more exact – how these investments affect workforce performance? Every company is interested to increase performance especially of its top employees that are perhaps greatest asset of the company.
