The Alation State of Data Culture Report - Q3 2020
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Inaugural report finds that only 12% of companies score an “A” on data culture. The Alation State of Data Culture Report provides a quarterly snapshot of the progress enterprises have made in establishing a data culture within their organizations, including a surprising number of decision makers that rely on gut decision making, 67%.
The report also introduces the Data Culture Index™ (DCI), a quantitative assessment of how well an organization is positioned to enable data-driven decision making. Enterprises are scored based upon the adoption of the three pillar disciplines of data culture: data search & discovery, data literacy, and data governance.
Download the report to learn more about:
The data culture disconnect and what organizations are doing to create a data culture
Data quality remains the soft underbelly of data culture with decision makers often questioning data
How COVID-19 is accelerating the move toward data culture
APAC Research Report: Keeping the Pulse of Data in Asia Pacific
Alation engaged advisory & research specialists, capioIT to research help understand the state of data for APAC organisations, gathering key insights from Alation customers across a number of industries. This report highlights a highly fragmented market in its current understanding of data, but one that understands what it can do and what guidance is required in order to optimize data for their organizations. This reports deep dives into key data culture maturity insights which drive business results & success.
Customer Case Study
Vattenfall Reduces Regulatory Risk and Powers New Projects with Alation
Learn how Vattenfall accelerated project development & minimized regulatory risks using Alation in our case study. Get insights now!
How Can Organizations Measure the Value of Data Culture Maturity?
Leadership teams face challenges in justifying and demonstrating the business value of data programs, especially in financially stringent environments. How can organizations overcome the intangibility of data value, longer time horizons for impact, complex causality, changing metrics, interconnected initiatives, resistance to change, and the lack of standard metrics?