Business Intelligence Data Transformation Enterprise Metadata 
CIO Business Intelligence
FEBRUARY 20, 2024
The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital. The company can also unify its knowledge base and promote search and information use that better meets its needs.
CIO Business Intelligence
MARCH 4, 2024
Despite these benefits, the core problems that data centralization so often fails to address are the pragmatic realities of many enterprise data ecosystems. Additionally, data silos and fragmentation often occur inorganically as in the case of merger or acquisition scenarios.
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datapine
SEPTEMBER 29, 2022
No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. 2 – Data profiling. date, month, and year).
IBM Big Data Hub
OCTOBER 16, 2023
It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits. Curated foundation models, such as those created by IBM or Microsoft, help enterprises scale and accelerate the use and impact of the most advanced AI capabilities using trusted data.
erwin
APRIL 29, 2020
Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Who are the data owners? What are the transformation rules? Data Governance.
Alation
JUNE 28, 2022
This is where metadata, or the data about data, comes into play. Having a data catalog is the cornerstone of your data governance strategy, but what supports your data catalog? Your metadata management framework provides the underlying structure that makes your data accessible and manageable.
IBM Big Data Hub
JANUARY 18, 2023
Data platform architecture has an interesting history. Towards the turn of millennium, enterprises started to realize that the reporting and business intelligence workload required a new solution rather than the transactional applications. Value of the data projects are difficult to realize. It was Datawarehouse.
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