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Technology Blog - Redapt | Data & Analytics (5)
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Building a Solid Cloud Adoption Framework for 2021
Over the past year, the need to expand remote work capabilities has forced a great many enterprises to accelerate their cloud adoption plans.
Best Practices for Good Data Hygiene and Pipelines
Like any equipment used by your organization, your data needs to be maintained and kept in order.
Infographic: How To Make Data A Competitive Advantage
Successful companies are able to utilize data in every segment of their organization. Not just in data science and traditional business intelligence, but areas like sales, supply chain management,...
The Key Difference Between Business Intelligence and Advanced Analytics
Note: This post was originally published on March 19, 2020, and has been updated with new information.
Information, as they say, is power.
Video: Improving Financial Performance With Unstructured Data
Finance operations and organizations have the exciting opportunity to use machine learning and advanced algorithms to improve forecasting supply chain and operating efficiencies. Watch our quick...
How Managed Analytics Services Is Key to Getting Insights from Data Quickly
As the availability and usage of data has exploded in recent years, many enterprises have struggled to fully leverage the amount of information they now have at their disposal.
It’s one thing to...
Managing On-Premises Unstructured Data in a Cloud-Centric World
Video. Social media. Chat bots. Websites. Slide decks. Video conferencing. All unstructured data. All a potentially major headache for an industry like yours that must store hundreds to thousands of...
Why You Need a Data Maturity Model
Effectively putting data to work in your organization takes more than simply hiring data scientists to crank out models.
OEM Appliances: What They Are, When They Make Sense
Independent software vendors (ISVs) often face a choice when it comes to releasing new products into the wild. They can simply make your software available for download to customers, or you can work...
Bridging the Gap Between IT and Data Science
As more and more enterprises are leaning into newer analytics technologies like artificial intelligence (AI) and machine learning (ML), many are hitting a wall when it comes to effectively putting...