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Simplifying Data Integration Through Eventual Connectivity

Data Engineering Podcast

For a small number of sources it is a tractable problem, but as the overall complexity of the data ecosystem continues to expand it may be time to identify new ways to tame the deluge of information. In this episode Tim Ward, CEO of CluedIn, explains the idea of eventual connectivity as a new paradigm for data integration.

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Do You Manage Your Data Debt Alongside Your Technical Debt?

The Modern Data Company

Like technical debt, data debt represents the liability accrued over time by inefficient and outdated methods and technologies for handling corporate data. It is important to note that data debt has methodological and technological components. Data management technologies grow old and out of date.

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Insurance Organizations Depend on the Quality of Their Data

Precisely

How Industry Leaders Get Superior Results The majority of respondents in the Arizent/Digital Insurance study rated their data management processes as being only moderately effective at meeting the core criteria for success. The best data quality tools adapt easily as your company changes and grows.

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Unraveling the Threads: Data Fabric vs Data Mesh for Modern Enterprises

Precisely

Key Takeaways Data fabric and data mesh are modern data management architectures that allow organizations to more easily understand, create, and manage data for more timely, accurate, consistent, and contextual data analytics and operations. The choice between the two depends on your business needs.

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Data-driven competitive advantage in the financial services industry

Cloudera

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

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Accelerate Digital Transformation with Hyperautomation

Precisely

Organizations should be careful not to automate business processes before considering which data sets those processes impact. Automation increases the potential to create a large volume of bad data very quickly. Conversely, beginning with high-quality data and ensuring continuing data integrity helps automation efforts succeed.

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Automate SAP® Processes for Agility, Resiliency, and Success

Precisely

That’s where Precisely Automate comes in – a no-code, low-code solution that helps you accelerate your business processes and improve your data. Use case and demo #2: automating data management Next, let’s talk about transforming the everyday processes that matter most, with simple, real-time SAP data extraction.

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