Blog

Survey Says: Cloud Analytics is Future of Computing

We hope our customers and prospects glean useful value-added information and insights from the results of our research regarding their own analytics endeavors.

Analytical Maturity: Lay the Foundation

Like every maturation process, becoming analytically mature begins with procedures, practices, and, eventually, progress. Learn more.

AWS re:Invent 2022 Executive Summary of Analytics and Data Management Announcements

From the keynotes to the sessions throughout AWS re:Invent 2022, AWS announced many improvements to its data management services. Get the summary here.

How to Think about Total Cost of Ownership (TCO) for a Cloud Analytics Migration

This article discusses how organizations should approach total cost of ownership (TCO) when considering moving their data analytics environment to the cloud.

5 Best Practices for Embarking on a Cloud Analytics Journey

Data Analytics leaders who have already undertaken a cloud analytics migration provide valuable tips for companies to follow when starting their own migration.

5 Technical Reasons for a Cloud Analytics Migration

There are many reasons why businesses of all sizes and industries are shifting to cloud analytics; here are five key technical reasons.

4 Benefits of Investing in Cloud Analytics

Four factors that motivate businesses to invest in a cloud analytics migration, that make the move to a cloud analytics platform worth the effort.

What are Practical Uses for Data Analytics?

Organizations are increasingly looking to their data to glean advantages. Here are some examples to show how companies are using data analytics to derive value.

Are You Ready for Increasing Demands on Data Management?

An overview of the top challenges organizations will need to address in light of the increasing demands on data management operations.

Legacy Technology Modernization: Why? How?

Examples of insights gained by industry leaders regarding modernizing enterprise legacy technology to capture innovation or other opportunities.

Legacy Technology: Update. Regenerate. Modernize.

Companies that continue to rely on legacy technology face a growing list of expensive challenges in the future.

Understanding the 4 Analytics Solutions Needed for a Data Science Foundation

These 4 areas on the analytics continuum which comprise the Data Science Foundation can set an organization up for decision-making success.