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TDWI Checklist Report | Bringing Modern Data-Driven Applications to the Enterprise

March 20, 2015

The term data driven is bandied about nowadays by many people in many contexts. For example, more business managers need to make fact-based decisions and run a business “by the numbers” based on reliable data and metrics that are integrated into business processes. As new data sources come online—from third-party sources, social media, and even machinery, devices, and smartphone apps—business teams need an efficient and effective way to relate new data and leverage it to achieve organizational goals.

For managers, processes, and organizations to be truly data driven requires going beyond the hype in the press and siloed master data management processes. The success of consumer data-driven applications—such as LinkedIn and Facebook—has shown that frontline users can easily access, improve, analyze, and share their data in a seamless, unified environment. The problem with traditional process-driven applications such as legacy CRM and ERP systems is that they place the burden of capturing analytical insight, making decisions, and taking action on the business user. To correct that problem and offer other benefits, modern enterprise data-driven applications (DDAs) predict and prescribe what to do next with reliable data, relevant insights, and recommended actions.

To help the reader select data-driven applications (DDAs) and prepare for their use, this Checklist Report drills down into their desirable characteristics, best practices, and use cases.

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