7 steps to Predictive Analytics

  • Written By WHISHWORKS
  • 20/03/2019

Keeping abreast of new developments in Business Intelligence is critical for allowing companies to stay ahead of competition. The latest approach to BI is predictive analytics. Predictive Analytics enables organisations to forecast future events, analyse risks and opportunities, and automate decision making processes by analysing historic data.

Predictive analytics can be applied in many different areas of a business from fraud detection and cyber security, through to credit risk, operations, and target marketing.

Predictive analytics has a step by step process in order to achieve accurate outcomes and valid predictions. 

If you would like to find out more about how Predictive Analytics could help you become more agile and more competitive, do give us a call at +44 (0)203 475 7980 or email us at marketing@whishworks.com

Other useful links:

How will Artificial Intelligence change the banking industry

Next Generation User and Entity Behaviour Analytics

Machine Learning for Competitive Intelligence in Retail

Latest Insights

Blogs

Salesforce FSC-Customer and Prospect Data

Our new Salesforce Financial Services Cloud article discusses the ingestion of data into your org and the hydration of the platform.

Fintech Digital Transformation
Blogs

Fintechs in the Post-COVID Era

The shift to digital presents an opportunity for Fintechs to grow their portfolio exponentially, but it also comes with key challenges.

MuleSoft new tools and releases
Blogs

MuleSoft tools and releases to innovate faster

A closer look at some of the tools MuleSoft plans to launch to generate real efficiencies while freeing resources so users can innovate faster.