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PepsiCo transforms for the digital era

CIO Business Intelligence

“Me coming in from the outside and proposing so much change — the associates and midlevel management are the ones that must be empowered and that is the most difficult aspect of any kind of transformation.” One HR employee took some courses in data analytics and found a new job within the company helping to advance digital transformation. “I

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

The experts offered several practical examples of how real-time data can help deliver continuous improvement in a variety of areas across the business, with the help of automation, which is a key capability for making data actionable. “In This means that all changes, all transitions, are instantaneous.

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Visualize data quality scores and metrics generated by AWS Glue Data Quality

AWS Big Data

After you create the table definition on the AWS Glue Data Catalog, you can use Athena to query the Data Catalog table. Query the Data Catalog table using Athena Athena is an interactive query service that makes it easy to analyze data in Amazon S3 and the AWS Glue Data Catalog using standard SQL.

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Build a decentralized semantic search engine on heterogeneous data stores using autonomous agents

AWS Big Data

For getting data from Amazon Redshift, we use the Anthropic Claude 2.0 To get data from Amazon OpenSearch Service, we chunk, and convert the source data chunks to vectors using Amazon Titan Text Embeddings model. For client interaction we use Agent Tools based on ReAct. If yes, run query to extract information.

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6 BI challenges IT teams must address

CIO Business Intelligence

“The number-one issue for our BI team is convincing people that business intelligence will help to make true data-driven decisions,” says Diana Stout, senior business analyst at Schellman, a global cybersecurity assessor based in Tampa, Fl. Or you have a [BI tool] like Domo, which Schellman uses, that can function as a data warehouse.

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The Data Journey: From Raw Data to Insights

Sisense

Doing this will require rethinking how you handle data, learn from it, and how data fits in your digital transformation. Simplifying digital transformation. The growing amount and increasingly varied sources of data that every organization generates make digital transformation a daunting prospect.

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Amazon Kinesis Data Streams: celebrating a decade of real-time data innovation

AWS Big Data

However, in many organizations, data is typically spread across a number of different systems such as software as a service (SaaS) applications, operational databases, and data warehouses. Such data silos make it difficult to get unified views of the data in an organization and act in real time to derive the most value.

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