Published: 30 April 2024
Summary
Analytical decision support is a people, process and technology problem for organizations. This document explores three emerging trends in the customer landscape that product managers must take into account now to stay competitive in the quickly evolving ABI market.
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Overview
Key Findings
Chief data officers (CDOs) will focus on tools that adopt generative AI (GenAI) capabilities to augment the user experience and lower the skills barriers for interacting with data and consuming insights.
Data and analytics (D&A) leaders are facing pressure to scale D&A functions for decision support through intelligent automation and will need the tools and workflows to do so.
Composability is increasingly important as the technology stacks supporting data value chains are becoming more interoperable and focused on supporting both centralized D&A functions as well as embedding intelligence in applications and data products.
Recommendations
Product managers responsible for analytics and business
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