The Alation State of Data Culture Report - Q1 2021
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Latest report examines obstacles preventing AI adoption, including data quality and inherent bias issues.
The Q1 2021 Alation State of Data Culture Report reveals progress into enterprise-level data culture initiatives. The majority of data professionals surveyed (87%) are concerned about data quality issues affecting AI performance.
Also included within is the Data Culture Index (DCI), a metric that measures an organization's fitness to enable data-driven decision making. Enterprises are scored by their adoption of three pillar disciplines of data culture: data search & discovery, data literacy, and data governance.
Download the report to learn more about:
Why AI initiatives fail (plus tips on how to design for success)
The link between top-tier data cultures and organizations exceeding revenue goals
How companies with a top-tier data culture break down data silos with collaboration
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?