Remove Data Governance Remove Digital Transformation Remove Predictive Analytics Remove Prescriptive Analytics
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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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Five Steps for Building a Successful BI Strategy

Sisense

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? 3 Define how the data will be shared (and how it will be distributed). Do you want to be more efficient? Find a bottleneck in R&D?

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A Guide to Data Analytics in the Travel Industry

Alation

What are common data challenges for the travel industry? Some companies struggle to optimize their data’s value and leverage analytics effectively. When companies lack a data governance strategy , they may struggle to identify all consumer data or flag personal data as subject to compliance audits.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

See The Future of Data and Analytics: Reengineering the Decision, 2025. You mentioned a few times that most enterprises are not good at data governance. where performance and data quality is imperative? Yes, prescriptive and predictive analytics remain very popular with clients.