HOW TO BUILD A DATA QUALITY ROADMAP

June 10, 2019

When technology evolves, data unleashes enormous power to do more. But along the way, it also brings its share of challenges for organizations one being the quality management of the data. That’s why product information management (PIM) and master data management (MDM) tools are becoming a preferred instrument for data quality management processes. PIM/MDM tools help not only manage 'the incredible mountain of data that we collect within the company' but also meet the 'ever-increasing demand for data dissemination'

Spotlight

Datascope Analytics

Datascope is a data science consulting company. We work closely with our clients, using creative processes inspired by the design community to help them identify valuable and innovative ways to use data. We also make these ideas a reality, building out everything from quick proofs of concept to scalable production systems.

OTHER WHITEPAPERS
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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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Your 2022 Executive Guide to Data Science and AI

whitePaper | July 8, 2022

This series of white papers lays out the essential steps you need to take to ensure your business stays at the forefront of an increasingly data-driven and automated world. We cover everything you need to know about growing a data science team, the current trends in machine learning, data visualisation, essential data science tools and technologies, automation, deployment, how to prove value with data science and also give our thoughts on the next ‘big ideas’ that are set to take the world of AI in business by storm.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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atos-operational-acceptance-testing

whitePaper | March 12, 2020

Operational Acceptance Testing (OAT) is the penultimate phase of Acceptance Testing in a Software Testing Life cycle and is the last defence line between a software development project and deployment of software on production. FFor decedes, Operational Acceptance has been undermined and misunderstood. Where User Acceptance has been written about and hailed as a final phase in testing before production. User Acceptance is but one side of the coin, Operational Acceptance is the other.

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The Future of Unstructured Data Processing

whitePaper | July 25, 2022

Experts estimate that the average person generates more than 1.7 MB of digital data per second, amounting to over 2.5 quintillion bytes per day. However, as the world becomes increasingly digitized and networked, experts predict that, on average, people will produce 463 exabytes of data per day by 2025.

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Spotlight

Datascope Analytics

Datascope is a data science consulting company. We work closely with our clients, using creative processes inspired by the design community to help them identify valuable and innovative ways to use data. We also make these ideas a reality, building out everything from quick proofs of concept to scalable production systems.

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