Jet Global
NOVEMBER 20, 2023
Solutions such as BOBJ, Cognos, and OBIE adapted to the requirements of the larger enterprise, introducing rich semantic models, governance capabilities and targeting a far larger audience inside the enterprise by providing capabilities for analysis, pre-built reporting, and automated refreshing, etc.
Smarten
SEPTEMBER 29, 2023
With its unique governance model, the Client business can fully serve its vocation with a long-term vision and fulfil its commitment to therapeutic progress and to serving patient needs. Key Benefits and Deliverables: Real-time report for Stocks, Sales, Returns, Regions etc.,
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CIO Business Intelligence
AUGUST 30, 2022
They need integrated financial insights on accounting and finances data, better traceability and operational reporting on things such as customer segmentation, products and revenue assurance. It also has a pre-built financial data model that’s ready to receive and structure data to enable controlled, user-friendly access.
TDAN
NOVEMBER 2, 2021
As proponents of Lean Thinking, we view corporations as data factories that produce information for operations, reporting, and financial modeling. We treat data as inventory, data management as manufacturing, and business output as finished goods. Anything […].
IBM Big Data Hub
AUGUST 28, 2023
For more than 10 years, the publisher has used IBM Cognos Analytics to wrangle its internal and external operational reporting needs. And in the last few years, the team realized there was an opportunity to expand beyond centralized operational reporting to enable further business growth.
Jet Global
NOVEMBER 5, 2020
That stands for “bring your own database,” and it refers to a model in which core ERP data are replicated to a separate standalone database used exclusively for reporting. That works reasonably well for traditional reporting functions. For more powerful, multidimensional OLAP-style reporting, however, it falls short.
CIO Business Intelligence
FEBRUARY 14, 2023
To succeed with real-time AI, data ecosystems need to excel at handling fast-moving streams of events, operational data, and machine learning models to leverage insights and automate decision-making. It’s clear how these real-time data sources generate data streams that need new data and ML models for accurate decisions.
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