Building a Lean Analytics Platform
Easier, simpler, faster
Date : September 19, 2016

Traditional data warehousing approaches are expensive, and they can’t cope with exponentially growing data of great variety and volume. This paper outlines principles and technologies for building the data warehouse of the future - the lean analytics platform.

Traditional data warehousing approaches can’t cope with exponentially growing data of great variety and volume. It needs to become lean and agile to support constantly growing and evolving analytics. Lean manufacturing principles have been increasing in popularity, and these ideas have been successfully applied to software development in the form of of agile-based frameworks. These methods are based on 3 key principles:

  1. Focus on Value
  2. Eliminate Waste
  3. Continuously Improve

Lean methods optimize software development, improve time to market, and reduce costs. Despite these successes, the majority of data warehousing and analytics development has traditionally used the waterfall model; lean methods have been difficult to adopt. This guide looks at the reasons behind that.

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Date : January 23, 2017

Data is an asset. That is the mindset companies in the insurance industry must quickly embrace if they are to remain competitive in a landscape that is being challenged from seemingly all angles. From product commoditization, shrinking margins and disruptive startups to aging technology and processes, changing customer expectations and regulatory uncertainty, insurance companies face a critical imperative to harness data assets existing within their enterprise today.


Empower your organization with performance metrics and dashboards. Elevate your performance.
Date : September 16, 2016

Our Manage-by-Metrics solutions help you establish the right performance targets for achieving business goals and then deliver timely KPIs that empower leaders and front-line staff to view, manage, and improve performance.

Date : June 23, 2016

Today, various technologies are “disrupting” the traditional reporting landscape and analytics architecture. Not only that; they are accessible to organizations of all sizes—enabling them to reap benefits ranging from lower costs to faster and more effective analysis.