Building a data literate organization
The TDWI Pulse Report uses recently collected data from a global survey to examine how data and analytics professionals view data literacy and why it is important, the characteristics of data literate companies, and best practices for becoming a data literate organization.
The report compares the three groups mentioned above (not data literate, somewhat data literate, and data literate), as well to illustrate similarities and differences with an eye towards best practices.
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As organizations look to digitally transform in order to become more data-driven and better compete, they are often ramping up their data and analytics efforts to better serve customers and enable efficient and effective operations. An important part of this effort is modernizing their data and analytics environments.
Modern analytics includes new tools that help organizations democratize analytics as well as become more proactive. Modern environments often use the cloud to support data and analytics. For instance, at TDWI, we see that implementing self-service—solutions that enable non-technical users to be productive because they are easier to use, do not require coding, and do not require IT to set up all data access, queries, visualizations, and preparation—is the top priority for organizations in 2021.
Demand for advanced analytics, such as machine learning, also continues to increase. In the survey for this report, the majority of respondents were at the self-service stage of analytics adoption or beyond.