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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

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8 data strategy mistakes to avoid

CIO Business Intelligence

“Establishing data governance rules helps organizations comply with these regulations, reducing the risk of legal and financial penalties. Clear governance rules can also help ensure data quality by defining standards for data collection, storage, and formatting, which can improve the accuracy and reliability of your analysis.”

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Create a modern data platform using the Data Build Tool (dbt) in the AWS Cloud

AWS Big Data

As part of their cloud modernization initiative, they sought to migrate and modernize their legacy data platform. Define data quality check task to test a package, generate docs and copy the docs to required S3 location data_quality_check = BashOperator( task_id='data_quality_check', dag=dag, bash_command=''' /usr/local/airflow/.local/bin/dbt

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

“Make sure the data you have is discoverable by AI systems, which might mean building an enriched catalog using generative AI or using it to build an ontology on top of structured data,” he says. “In In many instances, it’s a significant improvement in productivity when using AI to streamline these workloads.

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The Missing Link in Enterprise Data Governance: Metadata

Octopai

Steve, the Head of Business Intelligence at a leading insurance company, pushed back in his office chair and stood up, waving his fists at the screen. We’re dealing with data day in and day out, but if isn’t accurate then it’s all for nothing!” Why aren’t the numbers in these reports matching up? Automated metadata governance.

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Selling the value of data transformation Iyengar and his team are 18 months into a three- to five-year journey that started by building out the data layer — corralling data sources such as ERP, CRM, and legacy databases into data warehouses for structured data and data lakes for unstructured data.

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How gaming companies can use Amazon Redshift Serverless to build scalable analytical applications faster and easier

AWS Big Data

ETL (extract, transform, and load) technologies, streaming services, APIs, and data exchange interfaces are the core components of this pillar. Unlike ingestion processes, data can be transformed as per business rules before loading. You can apply technical or business data quality rules and load raw data as well.