Analyst Insight – diwo and the Emerging Age of Decision Intelligence

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Analyst Insight – diwo and the Emerging Age of Decision Intelligence

$500.00

Author: Hyoun Park

Topic: Decision Intelligence

Top Takeaway:
Amalgam Insights firmly believes that Decision Intelligence will drive the next decade of analytic adoption for the average employee just as self-service analytics drove adoption and access in the 2010s. Businesses seeking to maximize value, return on assets, and profit based on their enterprise data need to conduct due diligence into implementing decision intelligence and opening up data-driven, contextualized, and real-time recommendations for line-level employees and managers who have traditionally lacked access to predictive analytics and iterative machine-learning tools, skills, and outputs.

To learn more about the new age of decision intelligence, add this report to your cart and engage our analysts to help you with this fundamental trend of the 2020s.

Description

Author: Hyoun Park

Topic: Decision Intelligence

Key Stakeholders: Chief Executive Officers, Chief Information Officers, Chief Technology Officers, Chief Financial Officers, Chief Data Officers, Chief Analytics Officers, Finance and Accounts Payable Directors and Managers, IT Architects, Director of Analytics, Analytics Managers

Why It Matters: Decision Intelligence will drive the next great wave of analytics value and adoption by allowing another 20% of employees to get machine-learning-aided personalized decisions based on enterprise data. With the adoption of decision intelligence, enterprises will increase the value of their existing analytics and data management investments. As an emerging player with early market traction, diwo has exhibited potential in being a top driver to provide practical context and quantifiable business value.

Top Takeaway:
Amalgam Insights firmly believes that Decision Intelligence will drive the next decade of analytic adoption for the average employee just as self-service analytics drove adoption and access in the 2010s. Businesses seeking to maximize value, return on assets, and profit based on their enterprise data need to conduct due diligence into implementing decision intelligence and opening up data-driven, contextualized, and real-time recommendations for line-level employees and managers who have traditionally lacked access to predictive analytics and iterative machine-learning tools, skills, and outputs.

To learn more about the new age of decision intelligence, add this report to your cart and engage our analysts to help you with this fundamental trend of the 2020s.