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Webinar Summary: Driving Data Analytic Team Excellence Through Agility, Efficiency, and Aphorisms

DataKitchen

He drew from his twenty-five years of experience in business analytics, pharmaceutical brand launch strategy, and project management. He also highlighted the importance of agility and adaptability in data analytics. It is essential to recognize the evolution of the field and the changing expectations of data consumers.

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Data governance in the age of generative AI

AWS Big Data

First, many LLM use cases rely on enterprise knowledge that needs to be drawn from unstructured data such as documents, transcripts, and images, in addition to structured data from data warehouses. Implement data privacy policies. Implement data quality by data type and source.

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8 data strategy mistakes to avoid

CIO Business Intelligence

Building a successful data strategy at scale goes beyond collecting and analyzing data,” says Ryan Swann, chief data analytics officer at financial services firm Vanguard. Creating data silos Denying business users access to information because of data silos has been a problem for years. “An

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

AWS Big Data

It allows users to write data transformation code, run it, and test the output, all within the framework it provides. Use case The Enterprise Data Analytics group of a large jewelry retailer embarked on their cloud journey with AWS in 2021. local/bin/dbt test –-select your_package.* /usr/local/airflow/.local/bin/dbt

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Turbocharging Target Identification: Ontotext’s AI-Powered Solution at Work

Ontotext

All derived facts can be further put into context with structured data, which improves data quality and presents researchers with clear evidence and provenance for all insights Then, Ontotext’s Target Discovery provides deeper insights into the data stored in this highly-interlinked knowledge graph, where long sequences of relations can be mined.

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How SumUp made digital analytics more accessible using AWS Glue

AWS Big Data

Technical challenges Data source specifics: The data in BigQuery is the export of GA 360 data and Firebase Analytics data. BigQuery uses a columnar storage format that can efficiently query semi-structured data, in the case of GA and Firebase data as arrays of structs.