Business Intelligence, Big Data Management

The A-Z of Master Data Management

January 11, 2023

The A-Z of Master Data Management
The world of master data management (MDM) is a complicated place to navigate and its native speakers use a language sometimes only they themselves understand. It is packed with complex descriptions, esoteric lingo and acronyms.

Spotlight

DataCamp

DataCamp offers entertaining online R tutorials & Data Analysis courses through fun videos and interactive coding challenges. DataCamp is an online data science school that teaches core R programming and data science skills through entertaining video lessons and interactive coding challenges. With over 100 hours of hands-on data analysis courses and R tutorials on Data Handling, Data Visualization, Reporting, Machine Learning, and Statistical Modelling, our members get the hands-on-experience they need need to begin a real-life project. Solve real data problems while receiving instant and personalized feedback that guides you to the solution. All our courses and tutorials are taught by instructors from leading companies such as RStudio and Revolution Analytics, and best-in-class academic institutions like Princeton and Duke University.

OTHER WHITEPAPERS
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Maximize the ROI of Your Databricks Lakehouse with Stardog: Asset

whitePaper | June 2, 2022

Data lakeshold enormous promise in supporting modern enterprise data architectures. Their ability to store a full variety of data types and handle ever-larger data volumes generated at high velocity have contributed to their widespread adoption.

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O'Reilly Data Quality Fundamentals

whitePaper | November 18, 2022

For decades, the lack of visibility into the health of our data has led to data downtime in companies around the world. When data is missing, inaccurate, or erroneous, data quality initiatives are doomed to fail, leaving enterprises at a privacy compliance and business disadvantage.

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Best practices – using Incorta to modernize your Oracle BI environment

whitePaper | March 29, 2023

Migrating to a new analytics environment can be a complex, timeconsuming and resource-intensive undertaking. Significant investments have been sunk into existing analytic environments, and migrating to a new platform can involve months of effort. When organizations go to this level of effort and expense, ideally, they should achieve more than simply migrating the existing environment. A migration provides an excellent opportunity to look to the future, rethink the environment, and deliver new capabilities to the business that can improve efficiency and serve as a source of competitive advantage.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Hybrid Cloud and Data Analytics for Financial Services: Maturing the Model

whitePaper | August 25, 2022

This paper discusses how hybrid cloud and data analytics together enable new business value to be created in financial services organisations, proposes ways in which analytics can be embedded successfully and outlines how Atos, Microsoft and Dell EMC are collaborating to help bring these advantages about.

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Do No Harm Guide Centering Accessibility in Data Visualization

whitePaper | December 29, 2022

Every day we are inundated with tables, graphs, charts, and maps explaining everything, including the unemployment rate, COVID-19 vaccination rates, baseball home run launch velocities, and our investment portfolios. When made well, data visualizations can help readers and users find insights and make discoveries. When made poorly, they obfuscate, mislead, or make it difficult for people to use them effectively.

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Spotlight

DataCamp

DataCamp offers entertaining online R tutorials & Data Analysis courses through fun videos and interactive coding challenges. DataCamp is an online data science school that teaches core R programming and data science skills through entertaining video lessons and interactive coding challenges. With over 100 hours of hands-on data analysis courses and R tutorials on Data Handling, Data Visualization, Reporting, Machine Learning, and Statistical Modelling, our members get the hands-on-experience they need need to begin a real-life project. Solve real data problems while receiving instant and personalized feedback that guides you to the solution. All our courses and tutorials are taught by instructors from leading companies such as RStudio and Revolution Analytics, and best-in-class academic institutions like Princeton and Duke University.

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