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5 Ways Data Modeling Is Critical to Data Governance

erwin

Deploying higher quality data sources with the appropriate structural veracity: Automate and enforce data model design tasks to ensure data integrity. From regulatory compliance and business intelligence to target marketing, data modeling maintains an automated connection back to the source.

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Databricks’ new data lakehouse aims at media, entertainment sector

CIO Business Intelligence

The other 10% represents the effort of initial deployment, data-loading, configuration and the setup of administrative tasks and analysis that is specific to the customer, the Henschen said. The joint solution with Labelbox is targeted toward media companies and is expected to help firms derive more value out of unstructured data.

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Business or IT: Who Drives Results with Your Data?

CIO Business Intelligence

Over the past decade, the company invested heavily in data platforms and data integration. Data scientists had little visibility into the business units, and, conversely, leaders from sales, supply chain, HR, finance, and marketing weren’t embracing the available data.

IT 98
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Salesforce certification guide: Roles, paths, exams, cost, training, requirements

CIO Business Intelligence

Benefits of Salesforce certifications Salesforce jobs range from the technical (architects, developers, implementation experts) to those related to marketing and sales. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

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How to leverage data to create a more intelligent organization

CIO Business Intelligence

Ken Finnerty, vice president of information technology at overall winner UPS , will discuss how the shipping giant thinks about innovation and tools like artificial intelligence and data architecture with Chandana Gopal, IDC’s research director for Future of Intelligence.

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Data integrity vs. data quality: Is there a difference?

IBM Big Data Hub

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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SAP enhances Datasphere and SAC for AI-driven transformation

CIO Business Intelligence

“SAP is executing on a roadmap that brings an important semantic layer to enterprise data, and creates the critical foundation for implementing AI-based use cases,” said analyst Robert Parker, SVP of industry, software, and services research at IDC. We are also seeing customers bringing in other data assets from other apps or data sources.