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Showing posts from October, 2022

The Context Behind the Context of Information Management

  Exploring the importance of context in the modern information management arena for better results and growth The significance of precise, scalable information management in today's data sprawl is critical. Organizations must adopt a dynamic information management approach to establish the groundwork for the business to obtain greater value from their data, whether for analytical and strategic business goals or to ensure data security and compliance.  However, the traditional information management practices lack context , are noisy, and are unreliable these days. The primary reason is that data is not categorized and labeled consistently in this method. Instead, users need to manually tag, label and categorize the data, which is time-consuming, error-prone, and hinders grasping the links between the data pieces.  For example, without the context, it would become extremely difficult to determine if the term Paris in your data is associated with the capital city of Franc...

Unstructured Data Analytics – A Discovery Beyond the Surface

  Understanding the importance of unstructured data in data analytics and the benefits it has to offer Almost every industry is now aware of the value of data analysis in decision-making, hiring, employee retention, training and development, and other areas. For which businesses collect and analyze a plethora of data. Then there is the data that is not being used, processed, or analyzed; the massive iceberg data that lurks in the shadows and hides beneath the surface, gathering risk and sleeping on missed business opportunities; the unorganized, untapped, unprotected, and unknown data that most organizations inevitably have but do not know they do – the unstructured data. The challenges Unstructured data, also known as dark data, are frequently collected alongside purpose-driven data containing sensitive, personal, regulated, or high-risk information that must be kept out of the wrong hands. And this massive iceberg of data – almost 80% in most cases – actively raises security ri...

3 Reasons the Financial Services Sector is Succeeding with People Analytics

  Analyzing the ease with which people analytics can be adopted and implemented in the financial services industry According to The Business Research Company, the financial services sector, which includes everything from insurance and payments to lending and money management, is predicted to reach $28.5 trillion by 2025 . This expansion results from businesses reorganizing their operations and rebounding from the COVID-19 pandemic's effects. However, this expected growth in the coming years has also triggered departments to embrace themselves for a surge in demand for the services they provide. It also means rehiring a talent pool laid off due to the pandemic, boosting employee satisfaction, and reducing employee turnover, amongst others. And this time, companies are doing it differently – by studying the human side of their company, i.e., people analytics . The Human Capital When put financially, the economic worth of an employee's knowledge, skills, and competencies is referr...