Data Integration Data Warehouse Prescriptive Analytics Strategy 
CIO Business Intelligence
FEBRUARY 16, 2023
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.
Birst BI
OCTOBER 30, 2018
This may involve integrating different technologies, like cloud sources, on-premise databases, data warehouses and even spreadsheets. Add the predictive logic to the data model. With the source data now fully integrated into an analytic model, add and test different predictive algorithms.
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AWS Big Data
MARCH 26, 2024
A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.
Smart Data Collective
OCTOBER 13, 2021
Agile BI and Reporting, Single Customer View, Data Services, Web and Cloud Computing Integration are scenarios where Data Virtualization offers feasible and more efficient alternatives to traditional solutions. Does Data Virtualization support web data integration? Prescriptive analytics.
Jet Global
MAY 1, 2023
You might price embedded analytics as an independent add-on, or you might upsell customers to a plan that includes analytics. Other money-making strategies include adding users in a per-seat structure or achieving price dominance in the market due. Explain how embedded analytics can deliver the capabilities customers need.
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