Resource Center

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Vendor Landscape – Data Preparation Tools

Analysts and consumers of data both spend significant amounts of time wrangling data in order to conduct analyses and gain insights. The data in their systems lacks the context of their questions, decisions, or business actions. Enterprise architects take note: New big data environments, faster data integration, and analytic appliances aren’t the answer. Your analysts need better tools to speed up data preparation efforts that ultimately lead to faster, deeper insights that matter to the business.

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Investing in Agile Analytics Expansion

To achieve data-driven differentiation, organizations must overcome complex data challenges, contending with social, mobile, and IoT-enabled data sources that drive new technology investments. Blue Hill’s James Haight and Hyoun Park investigate the decision-making and operational process of organizations that have succeeded in navigating such environments.

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Drive Business Insight With Effective BI Strategy

How does BI differ from reporting and management information systems? This road map will give you an understanding of the four critical steps in strategizing around BI to achieve business goals: 1) establish the value of BI; 2) set the right strategy; 3) execute the strategy with precision; and 4) measure and optimize results.

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Build An Agile BI Organization

This report provides an organizational framework that describes how application development and delivery professionals working on BI initiatives can align their BI organization for agility; it’s a key part of Forrester’s Agile BI tetrad — Agile BI software development, organizations, processes, and technologies.

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Five Ways to Empower Business Analysts & Succeed in Your Self-Service BI Program

Many BI projects fail when not controlled by the business. Lack of proper requirements gathering and the inability to meet the needs of users creates a lack of adoption. Simple tools such as Excel and Access can no longer handle the complexities and increasing volumes inherent in big data or maintain the validity of analytic models. Read this new Lyndsay Wise paper for a look at five key enablers of self-service BI for business analysts.