Business Intelligence Data Governance Data Integration Data Science 
CIO Business Intelligence
MARCH 24, 2023
Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.
O'Reilly on Data
JANUARY 29, 2019
In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? Data scientists and data engineers are in demand.
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O'Reilly on Data
FEBRUARY 11, 2019
There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.
CIO Business Intelligence
NOVEMBER 21, 2023
“Any use case that ranks high in any of these criteria should be managed by the IT department, while the remaining can be delegated to the business units.” The most successful programs go beyond rolling out tools by establishing governance in citizen data science programs while taking steps to reduce data debt.
CIO Business Intelligence
MAY 2, 2022
On May 11, we’ll look at one of the most high-profile new consumer use cases of data: sports betting. Darren Rovell, a senior producer at Action Network and a former journalist at ESPN and CNBC , will share how sophisticated data newly available to bettors is equalizing the playing field with sports books.
IBM Big Data Hub
JANUARY 5, 2023
The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.
IBM Big Data Hub
JULY 13, 2023
When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. In short, yes.
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