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Innovative data integration in 2024: Pioneering the future of data integration

CIO Business Intelligence

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

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5 modern challenges in data integration and how CIOs can overcome them

CIO Business Intelligence

The growing volume of data is a concern, as 20% of enterprises surveyed by IDG are drawing from 1000 or more sources to feed their analytics systems. Data integration needs an overhaul, which can only be achieved by considering the following gaps. Heterogeneous sources produce data sets of different formats and structures.

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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

It’s a much more seamless process for customers than having to purchase a third-party reverse ETL tool or manage some sort of pipeline back into Salesforce.” For instance, a Data Cloud-triggered flow could update an account manager in Slack when shipments in an external data lake are marked as delayed.

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Enterprise Data Integration: Better Data, Smarter Decisions

Sisense

Whatever analytics platform you choose, it will become the lynchpin where all your data is joined together, where experts work with it, and where users turn to make decisions as they go about their daily tasks. More data, more problems. Eric Bernstein, President of Asset Management at Broadridge Asset Management Solutions explains. “We

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8 data strategy mistakes to avoid

CIO Business Intelligence

“Organizations often get services and applications up and running without having put stewardship in place,” says Marc Johnson, CISO and senior advisor at Impact Advisors, a healthcare management consulting firm. Overlooking these data resources is a big mistake. What are the goals for leveraging unstructured data?”

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Data governance in the age of generative AI

AWS Big Data

However, enterprise data generated from siloed sources combined with the lack of a data integration strategy creates challenges for provisioning the data for generative AI applications. As part of the transformation, the objects need to be treated to ensure data privacy (for example, PII redaction).

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How to successfully integrate data in a hybrid environment

CIO Business Intelligence

In today’s data-driven world, the ability to seamlessly integrate structured and unstructured data in a hybrid cloud environment is critical for organizations seeking to harness the full potential of their data assets.