The Many Faces of Metadata Management

March 20, 2019

Metadata is “data about the data,” and managing it correctly can improve data transparency and accessibility while helping organizations track and understand data lineage and improve data governance. Good metadata also gives users more confidence in BI reports and analytics. Unfortunately, TDWI research finds that most organizations still acquire and manage metadata manually and haphazardly using methods that are slow and do not scale. In addition, there is confusion about the differences between metadata repositories, data catalogs, and business glossaries. The good news is that understanding and applying better metadata management to your organization’s data management and integration practices can help with BI reporting, analytics, data governance, migration, and regulatory adherence.

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datAnalytics

Data is something that is collected but sometimes not fully understood and utilised.Our goal is to help you to make sense of your data, understand what it is telling you and how to use it to make better business decisions.We work closely with our customers from the beginning of the project, right to the end, ensuring that we fully understand the clients’ requirements.

OTHER WHITEPAPERS
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7 Trends for Data Science in 2021

whitePaper | May 5, 2021

Over the last decade, interest in the field of data science has not only increased enormously, but has also changed and developed considerably. In view of the new technological advances and the constant growth of data, we expect Data Science to continue to develop strongly in 2021. We have identified 7 trends that will be relevant for the coming year.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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On Artificial Intelligence A European approach to excellence and trust

whitePaper | February 19, 2020

Artificial Intelligence is developing fast. It will change our lives by improving healthcare (e.g. making diagnosis more precise, enabling better prevention of diseases), increasing the efficiency of farming, contributing to climate change mitigation and adaptation, improving the efficiency of production systems through predictive maintenance, increasing the security of Europeans, and in many other ways that we can only begin to imagine. At the same time, Artificial Intelligence (AI) entails a number of potential risks, such as opaque decision-making, gender-based or other kinds of discrimination, intrusion in our private lives or being used for criminal purposes.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

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Accelerating Data Modernization with Azure

whitePaper | May 18, 2021

Next-gen data operations require next-gen data technologies and strategies and Azure is an ideal platform for this modernization to take place. Download this white paper to better understand the strategies, philosophies, and technologies your organization needs to expand analytics abilities, reduce technical debt, embrace AI, and more.

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Spotlight

datAnalytics

Data is something that is collected but sometimes not fully understood and utilised.Our goal is to help you to make sense of your data, understand what it is telling you and how to use it to make better business decisions.We work closely with our customers from the beginning of the project, right to the end, ensuring that we fully understand the clients’ requirements.

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