Definition of Advanced Analytics

What does is it mean and how is it used

What is Advanced Analytics? 

Advanced Analytics is the autonomous or semi-autonomous examination of data or content using sophisticated techniques and tools, typically beyond those of traditional business intelligence (BI). It is used to discover deeper insights, make predictions, or generate recommendations.

Why use Advanced Analytics?

The question is, at a time when data is becoming increasingly important for business success, why wouldn’t you? Having the ability to use your data to make more predictive and real-time decisions could have real benefit for your organization – it not only helps you understand your customers’ needs, but also gives you far more control and perspective over a wide range of business-critical decision making.

Latest Advanced Analytics Insights

Making predictive analytics predictively valuable

To unlock the underlying value of modern businesses it is crutial to harness the benefits of predictive analytics. Exasol was present at the Tableau Conference Europe to show how the underlying value of data can be unlocked.

Read more on predictive analytics >

Data Analytics: The Smart Move in Retail

Understanding, attracting, and retaining customers is key for all businesses. Using data in the retail business for personalised insights will boost your decision-making and can set you ahead of your competition.

Learn more on retail analytics >

What is in-memory technology?

Exasol’s database enhances your BI, data warehousing, analytics & cloud operations. Discover how your organisation can implement an in-memory database.

Learn more on In-Memory Database >

Interested in learning more?

Whether you’re looking for more information about our fast, in-memory database, or to discover our latest insights, case studies, video content and blogs and to help guide you into the future of data.