The Alation State of Data Culture Report - Q4 2020
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Latest report examines how the work of data professionals has been impacted by COVID-19
The Q4 2020 Alation State of Data Culture Report provides a quarterly snapshot of the progress enterprises have made in establishing a data culture, including a glimpse at planning for 2021 and an examination of how the work of data professionals has been impacted by COVID-19.
The report also includes 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:
How data professionals were impacted by the pandemic
The continuing progress enterprises have made in leveraging data to drive business value
The resources data professionals are utilizing for 2021 business planning
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?