Remove Analytics Remove Slice and Dice Remove Testing Remove Unstructured Data
article thumbnail

Do I Need Both BI Tools and Augmented Analytics?

Smarten

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

article thumbnail

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. Ontotext’s Smart Pharma Search Solution .

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

Learn about the changes they’re making to not just remain competitive, but win in the future to stand the test of time. One of the main goals of a digital transformation is to empower everyone within an organization to make smarter, data-driven decisions. Actionable analytics increase adoption. Why the low adoption, then?

article thumbnail

Semantic Search for Smart Data Discovery in the Pharma Industry

Ontotext

Today, with the invention of the World Wide Web and the subsequent digitalization, we live in the Fourth Industrial Revolution where data, data exchange and cognitive computing are transforming all industries and services, including Life Sciences and Pharma. Ontotext’s Smart Pharma Search Solution.

article thumbnail

Migration Supporting Real-Time Analytics for Customer Experience Management

Cloudera

New data formats can be added in LLAP easily through the flexibility provided by Hive. Moreover, LLAP drastically reduces traditional Hive overhead when executing SQL, enabling near real time queries and ad-hoc analytics. Finally, it allowed Cloudera to test and QA any new features before releasing them to SMG.