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Additionally, Deloittes ESG Trends Report highlights fragmented ESG data, inconsistent reporting frameworks and difficulties in measuring sustainability ROI as primary challenges preventing organizations from fully leveraging their data for ESG initiatives.
These tools are more sophisticated, without requiring the skills of a data scientist, and more dynamic without requiring complex customization, and they provide more in-depth predictiveanalytical functionality and more interactive features. They operate seamlessly on all manner of devices without compromised displays or performance.
To fulfill the role of a Citizen Data Scientist, business users today can leverage augmented analytics solutions; that is analytics that provide simple recommendations and suggestions to help users easily choose visualization and predictiveanalytics techniques from within the analytical tool without the need for expert analytical skills.
These tools are more sophisticated, without requiring the skills of a data scientist, and more dynamic without requiring complex customization, and they provide more in-depth predictiveanalytical functionality and more interactive features. They operate seamlessly on all manner of devices without compromised displays or performance.
On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Yes, prescriptive and predictiveanalytics remain very popular with clients. See Where to Organize the Work of Data and Analytics.
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