Alex Geller
Demystifying the Basic Architecture Framework for Analytics

This article will simplify the architectural building blocks that unite data for decision making.

Understanding the technological architecture necessary to enable analytics is a daunting process for mid-sized companies. The marketing noise around “Business Intelligence” and “Big Data” has created confusion for managers. Having attended several conferences in the past few weeks, I found myself drawing diagrams to explain the structured and unstructured data architecture to frustrated executives. A company’s data architecture describes how data is collected, stored, transformed, distributed, and consumed. The purpose of this article is to share a simplified version of this architecture and explain how the components work together to support managerial decisions.

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Alex Geller
My Prediction: Convergence between Business Intelligence and Corporate Performance Management Vendors in the Mid-Market

This article will focus on the demand for convergence of Business Intelligence and Corporate Performance Management tools and why this benefits mid-market companies.

Image taken from Gartner.

The latest release of the Gartner Magic Quadrant for Business Intelligence strengthened my conviction that the market will see consolidation between the Business Intelligence/Visualization (BI) and Corporate Performance Management (CPM) vendors. Gartner classifies them in separate quadrants because the respective tools are evaluated differently during the sales process. Furthermore, BI tools usually sell into marketing and sales teams while CPM targets finance and accounting professionals. Consequently, there has been limited Mergers and Acquisitions (M&A) in the space. Note that this article assumes readers are familiar with the basic definitions to focus on a narrative explaining the demand for their convergence.

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