Business Intelligence Data Warehouse Finance Metadata 
CIO Business Intelligence
MAY 24, 2022
The rules are part of what the company calls the Data Quality Accelerator for Financial Services and can be used to accelerate the deployment of a data project and enable data-driven decision making. . Cloud Computing, Data Management, Financial Services Industry, Healthcare Industry
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. Positive curation means adding items from certain domains, such as finance, legal and regulatory, cybersecurity, and sustainability, that are important for enterprise users. Increase trust in AI outcomes.
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CIO Business Intelligence
NOVEMBER 22, 2022
External data sharing gets strategic Data sharing between business partners is becoming far easier and much more cooperative, observes Mike Bechtel, chief futurist at business advisory firm Deloitte Consulting. The fabric, especially at the active metadata level, is important, Saibene notes.
CIO Business Intelligence
SEPTEMBER 6, 2022
As a result, Pimblett now runs the organization’s data warehouse, analytics, and business intelligence. Establishing a clear and unified approach to data. In a first test of the technology, he used Alation to catalog a subset of Very’s data held in an old Teradata database. We’re a Power BI shop,” he says.
Octopai
JUNE 1, 2020
Let’s look at how these new requirements have changed the data landscape and how automated data mapping can give your company an advantage. Value of Data Mapping. If your company is merging with another or combining departments, data mapping allows for accurate data integration.
datapine
SEPTEMBER 29, 2022
With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. The program manager should lead the vision for quality data and ROI. 2 – Data profiling.
Domino Data Lab
APRIL 3, 2019
Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. Validates products for conformance.
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