Technology Blog - Redapt | Data Management and Analytics (3)

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...

Traditionally, business intelligence (BI) has focused on areas like supply chains and finance—niche subject areas that impact only a limited area of an organization.

The most routine data science tasks don’t need the sheer horsepower that deep learning models provide.

But as enterprises start using larger data sets, there are a growing number of complex tasks...

In the new era of Big Data, companies face a growing challenge: unstructured data. Forever expanding piles of documents, spreadsheets, presentations, emails, and other file-based data threaten to...

A joke you've likely heard before: "80 percent of time is spent preparing data. The other 20 percent is spent complaining about preparing the data."

Advanced analytics capabilities like predictive analytics, artificial intelligence (AI), and machine learning (ML) allow your organization to unlock insights, make smarter decisions, and fully...

Analytics already plays a major role in business success, and that role is only growing over time. 

It’s one of the ironies of business: the more popular your product becomes, the harder it is to keep up with demand.

Even products we don’t normally think of as dependent upon traditional logistics,...

Editor’s Note: This post was originally published on May 6, 2020 and has been recently updated to include the latest insights and best practices.