Which Embedded Analytics Product is Right For You?

Apr 15, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

As data proliferates, organizations want to monetize  data assets by injecting outward-facing applications with reports, dashboards, and self-service analytics. This report outlines key criteria for evaluating embedded analytics solutions. It discusses three types of analytics technology that can...

Embedded Analytics: The Future of Business Intelligence

Apr 15, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

This report defines embedded analytics, charts its evolution, and discusses whether to build or buy embedded analytics solutions.

Big Data Needs Structure: Optimizing Scalability and Performance with OLAP on Hadoop

Apr 12, 2016 by Wayne Eckerson in Data Strategy Insider

ABSTRACT:

Hadoop is a work in progress, a distributed file system trying to match and surpass the analytic capabilities of relational systems. SQL-on-Hadoop technology turns Hadoop’s batch environment into an interactive one. Now, OLAP-on-Hadoop products dimensionalize big data, optimizing both performance...

Modern Master Data Management – Responsive to Business Needs

Apr 12, 2016 by Julie Hunt in Knocking Down Silos

ABSTRACT:

As an essential partner for Modern Data Integration, Master Data Management continues to amplify its focus on transforming data into the crucial game-changing business asset that it should be. MDM has been evolving from older approaches that take too long to make an impact on the organization, to...

A Capability Model for Business Analytics: Part III – Using the Capability Assessment

Apr 06, 2016 by Dave Wells in Data Management

ABSTRACT:

Using the analytics capability model to collect data and measure your organization’s analytic capabilities is the key to managed growth, analytic quality, and delivering business value. However, ass anyone who is involved in analytics knows, measurement without action is pointless. Along with...