Monday, October 07, 2013

10 Attributes of Data Driven Organizations

If Self-Service BI is the practice, then part of the goal should be to become a Data Driven Organization? The Economist completed some key research on data driven organizations,

Eleven percent of respondents state that, in comparison to peers, their organization makes “substantially” better use of data. But top-performing companies comprise more than a third of this group, demonstrating the connection between data driven decision-making and organizational performance.
A Data Driven Organization is a cultural statement. So what does this "look like"?

  • People ask good questions, challenge assumptions, and have healthy debates on where to make improvements, investments, or other changes.

  • Many people in the organization have the skills, access to data, and some expertise with BI tools to perform data discovery tasks and are successful extracting insights from data.

  • Meetings kick off with a display, discussions, and dive into data first to help shape opinions and the dialogue around facts.

  • Presentations reference their data sources - and these data sources are available to appropriate people in the organization to review, challenge, and conduct follow up analytics.

  • The IT organization provides a defined set of data management and BI services to assist the organization in their discovery efforts.

  • A defined business strategy helps people focus their data discovery efforts.

  • There are already efforts to drive organizational changes, improve communications, and to get "bottoms up" contributions. Becoming "data driven" is a key, but not the only cultural priority.

  • Efforts to leverage data in decision making have measurable results - improvements in operations, sales, new revenue generating products, happier customers, etc.

  • Data is shared and leveraged across different businesses, organizations, and products.

  • There is priority, demand, and hunger to address data quality issues, to integrate multiple data sources, to capture new types of data, and to leverage third party data to become smarter, faster, and more competitive.

Good enough? Suggestions?

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