7 differences between business intelligence & data science systems

  • Written By Coforge-Salesforce BU
  • 25/10/2017

Ongoing developments in Business Intelligence and Data Science systems are making it important for organisations to understand the differences and the value they can produce for the enterprise. Focus, Process, Transformation and Ownership are among those key differentiators.

7 differences between business intelligence and data science systems from WHISHWORKS

If you would like to find out more about how Big Data could help you make the most out of your data while enabling you to open your digital horizons, do give us a call at +44 (0)203 475 7980 or email us at marketing@whishworks.com

Other useful links:

Infographic: Big Data Snapshot

The Big Data ‘Problem’

Data & Analytics services

Latest Insights

Application Integration
Blogs

What is Application Integration?

Application integration helps close the gap between existing on-site systems and the ever-evolving cloud-based enterprise applications.

Coforge Salesforce High Velocity Sales
Blogs

Enabling sales with Salesforce High Velocity Sales

What exactly High Velocity Sales is, how it can benefit your business and how to enable it.

CRISP-DM : ANALYTICAL FRAMEWORK
Blogs

Using the CRISP-DM framework for data driven projects

Learn how CRISP-DM can facilitate the planning, organising, and implementing process of data-driven projects.