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Why Your Master Data Management Needs Data Governance

Precisely

With cloud computing, the capacity to extract value from data is greater than ever. As this realization grows, businesses are shifting their investments from hardware to technologies that optimize data assets. Master Data Management systems (MDM) play an important role in harmonizing data assets across large and midsize enterprises.

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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. This is especially important when matching third-party data with internal data sets.

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Accelerate Digital Transformation with Hyperautomation

Precisely

Hyperautomation is the practice of automating as many processes as possible across an entire organization as quickly as possible, using a combination of tools, systems, and techniques. White Paper Supercharging your Digital Transformation with Hyperautomation Hyperautomation is today’s hot trend in digital transformation.

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Simplifying Data Integration Through Eventual Connectivity

Data Engineering Podcast

If you are struggling to maintain a tangle of data pipelines then you might find some new ideas for reducing your workload. What is eventual connectivity and how does it address the problems with ETL in the current data landscape? How much up-front modeling is necessary to make this a viable approach to data integration?

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Data Serialization Formats with Doug Cutting and Julien Le Dem - Episode 8

Data Engineering Podcast

To help other people find the show you can leave a review on iTunes , or Google Play Music , and tell your friends and co-workers This is your host Tobias Macey and today I’m interviewing Julien Le Dem and Doug Cutting about data serialization formats and how to pick the right one for your systems.

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In AI we trust? Why we Need to Talk About Ethics and Governance (part 2 of 2)

Cloudera

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. They identified four main categories: capturing intent, system design, human judgement & oversight, regulations. An AI system trained on data has no context outside of that data. System Design.

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Automate SAP® Processes for Agility, Resiliency, and Success

Precisely

Precisely Automate is comprised of: Automate Studio: solving “The Excel problem” – Automate Studio is our low-code, no-code data management and automation solution that’s perfect for common mass data processes in SAP ERP systems – think pricing updates, material changes, and journal entries.

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