Self-service analytics

In an increasingly distributed and complex data landscape, it is becoming increasingly difficult to govern and secure data effectively throughout the enterprise. Whether it be securing data across different repositories or monitoring access across different business units, the proliferation of data technologies and repositories across both on-premises and in the cloud is making the task unattainable. The challenge is only made greater by the ongoing pressure to offer self-service data access to business users.  Tune in and learn:How to use a logical data fabric to build an enterprise-wide...

Chris Walters, Senior Data Solutions Consultant for Denodo, demonstrates an scenario based on how to integrate data from 3 disparate sources to determine the impact of a new marketing campaign on total sales in each country in which they do business to show how a properly implemented logical data fabric is the most suitable approach for Unified Data Platforms across enterprises and organizations.Watch full webinar here.

Given the growing demand for analytics and the need for organizations to advance beyond dashboards to self-service analytics and more sophisticated algorithms like machine learning (ML), enterprises are moving towards a unified environment for data and analytics. What is the best approach to accomplish this unification?In TDWI’s recent Best Practice Report, Unified Platforms for Modern Analytics, written by Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics, adoption, use, challenges, architectures, and best practices for unified platforms for modern analytics is...