Technology Blog - Redapt | Data & Analytics (2)
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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.
Organizations are increasingly adopting a hybrid cloud approach when it comes to data storage and utilization.
When it comes to platforms for processing large amounts of data, two of the common choices for enterprises are Azure Synapse and Databricks. Since both are solid options, deciding on which to go with...
When it comes to adopting artificial intelligence (AI), it’s not uncommon for enterprises to struggle to determine exactly where to start.
Data has always been a critical component of the financial industry.
Now that institutions have access to an unprecedented amount of information—and to tools that rapidly mine that information for...
For many organizations, the cost of building out—or expanding—analytics capabilities can outweigh the benefits of the analytics itself.
When helping companies deploy their data for strategic advantage, our data and analytics teams routinely face an expanding volume of data coming in while simultaneously managing data going out to a...