That's a wrap on Day 2 of Gartner Data & Analytics Summit. Highlights from the day include: ✅ Creating metrics that matter ✅ Data sharing top tips ✅ Improve your AI game Learn more on the Gartner Newsroom: GartnerDA Data
On Day 2 from the conference, we are highlighting how to create metrics that matter, best practices for trusted data sharing and the role of graph analytics and machine learning in AI.No single set of metrics works for every organization. Business and IT leaders need a model to help them build the metrics portfolio that best matches their competitive environments, business strategies and digital maturity.
“To make metrics that matter, create positive outcomes by focusing on three key areas of business value: resource allocation, conversation optimization and comparative benchmarking.” Sharing data is a must for revenue growth, cost optimization, improved risk mitigation and accelerating digital business. In this session,, Senior Director Analyst at Gartner, explained the business imperative of data sharing to help D&A leaders modernize and align data sharing with stakeholder priorities, enterprise goals and organization benefit.
“Data sharing is a business-facing key performance indicator of achieving effective stakeholder engagement and providing enterprise value.”“Embrace the chaos within augmented data ecosystems outside of your organization’s control to find known and unknown relationships in combinations of diverse data.”
“The journey of eschewing perfect trust, and instead establishing the right trust to match the situation at hand, enables new business opportunities for data reuse and resharing, accelerating data and analytics value while mitigating risk.”Presented by Erick Brethenoux, Distinguished VP Analyst, Gartner
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