Technology Blog - Redapt | Data Management and Analytics (2)

In today’s business environment, simply making smarter decisions is not enough to remain competitive. You need to make smarter decisions faster. That means finding ways to mine large amounts of data...

It can be easy to think of storage infrastructure as static. A simple container for housing data and workloads.

AIOps is an emerging technology that, as its name suggests, is the practice of applying artificial intelligence (AI) to IT operations. 

It combines the characteristics of AI and machine learning (ML)...

The term “Big Data” has a couple of meanings. 

Time and time again, I hear the frustration of our executive clients with the performance and speed of analytics and data departments. 

Data and analytics have always played a major role in business, but with more information now available to companies than ever before, how data is being used has shifted dramatically.

Companies today are often unaware of just how vulnerable they are to security risks.

Business intelligence (BI) used to be relatively straightforward. Number of products sold, price points relative to competitors, product returns, and so on.

The two main achievements of any analytical endeavor are solving problems and answering questions. 

Companies that are able to unlock actionable insights from a steady stream of data are more secure and confident when it comes to remaining competitive.