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Strategy & Thought Leadership

Embracing Data Governance

Data governance has often been looked upon as a burdensome but necessary hedge against legal or compliance issues, which we refer to as Data Governance 1.0 (DG1.0). In contrast, Data…

Creating A Data Strategy

A Comprehensive Data Strategy is Not Optional The growth in the demand for better decision-making with data means that a comprehensive data strategy is no longer a nice to have.…

Analytics Application Lifecycle Framework

An analytical application combines data and computationally-intensive logic to produce a mechanism for predicting future states, or prescribing actions in the present, that are demonstrably valuable to a business beneficiary.…

Six Organizing Models for Analytics Teams

Companies that think strategically about analytics achieve the biggest impact from analytics. To realize the full potential that analytics offers, don’t overlook the importance of the way you organize your…

Analytics 4.0

Building on its predecessor, Analytics 4.0 marks a point when organizational culture allows for the embedding of finished-product advanced analytics into decision flows and operational business processes. Centered upon the…