G Archives - Ä¢¹½¶ÌÊÓƵ /tag/g/ Unlock your data's true potential Mon, 22 Aug 2022 16:30:04 +0000 en-GB hourly 1 https://wordpress.org/?v=6.9.1 /wp-content/uploads/2023/01/Ä¢¹½¶ÌÊÓƵFavIconBluePink-150x150.png G Archives - Ä¢¹½¶ÌÊÓƵ /tag/g/ 32 32 What is the Gartner Magic Quadrant? /glossary/what-is-the-gartner-magic-quadrant/ Wed, 20 Jul 2022 14:20:50 +0000 /?p=19710 The Gartner Magic Quadrant provides a graphical depiction of different types of technology providers and their position in fast-growing markets..

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What is the Gartner Magic Quadrant?

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The Gartner Magic Quadrant provides a graphical depiction of different types of technology providers and their position in fast-growing markets. Gartner research identifies and analyses the most relevant providers based on specific criteria that analysts believe to be crucial for inclusion.

What is the Gartner Magic Quadrant?

For ‘Data Quality Solutions’, Gartner has highlighted the importance of features such as:

  • The delivery of core data quality functions for profiling, cleansing and matching data;
  • Supporting multiple data domains and use cases; and
  • Owning a geographically diverse customer base.

Between ten to fifteen of the most prominent vendors in each given market are then selected and judged on product capabilities, diversification of services and market presence. Based on this criteria, selected firms are then allocated into four distinct categories:

  • Leaders
  • Visionaries
  • Niche Players, and
  • Challengers.

Where does Ä¢¹½¶ÌÊÓƵ feature in the Magic Quadrant?

Ä¢¹½¶ÌÊÓƵ represented one of the ‘Niche Players’ in this edition of the quadrant, due to our specialism in pure-play data quality and matching, and the value we add to clients in specific industries and verticals. 

What did Gartner have to say about Ä¢¹½¶ÌÊÓƵ in the 2021 Magic Quadrant?

Gartner asserts that augmented data quality powered by metadata and AI, is a key dynamic driving the data quality solutions market. This was recognised as one of the key strengths of the Ä¢¹½¶ÌÊÓƵ platform; our AI Server contains a diverse range of AI functionalities, including prebuilt models for entity resolution, ML-based matching and outlier detection. These innovations significantly reduce manual effort and increase accuracy of results, whilst maintaining transparency and some degree of human intervention. 

One of the compelling differences between Ä¢¹½¶ÌÊÓƵ and other vendors in the quadrant, as detailed in the Gartner Peer Insights forum, is our platform’s ease of use and implementation. Reviewers praised Ä¢¹½¶ÌÊÓƵ for their sophisticated and user-friendly workflow which requires minimal consulting services to implement and configure. It is a no-code platform that requires no programming experience to become proficient in rule development and management, reducing reliance on IT resources. Analysts also noted the ability of the Ä¢¹½¶ÌÊÓƵ platform to seamlessly integrate with third-party services for quick and easy connection. 

In conjunction with this, Gartner analysts noted Ä¢¹½¶ÌÊÓƵ’ Self-Service approach to data quality. Our platform addresses the increasing industry demand for business-led data management initiatives, accommodating non-technical users to become skilled and accomplished with the tool. Ä¢¹½¶ÌÊÓƵ was the only vendor in the quadrant recognised for this attribute.

Additionally, Gartner also commented on Ä¢¹½¶ÌÊÓƵ’ current rate of market visibility, growth and vertical focus. 

Where can I read more about this Magic Quadrant?

Brendan McCarthy has written a series on this topic, which you can pick up here.

And for more from Ä¢¹½¶ÌÊÓƵ, find us onÌý,ÌýÌýorÌý

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]]> What is Data Governance? /glossary/data-governance/ Thu, 16 Sep 2021 11:10:53 +0000 /?p=16032 Data governance refers to a collection of disciplines working together to achieve effective use, monitoring and reporting of enterprise data.

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What is Data Governance?

Data Governance refers to a collection of disciplines working together to achieve effective use, monitoring and reporting of enterprise data. One of the primary focuses of data governance is ensuring that data is used correctly and securely.Ìý

what is data governance

Data governance feeds into the bigger picture of an organisation’s data management initiative, incorporating disciplines such as data quality and data stewardship.

Organisations can establish plans and programmes to help manage and monitor their data flows both internally and externally, joining up the dots between different roles within the enterprise and contributing to better overall operations.

Increasingly businesses are investing in technologies to enable more efficient data governance such as data catalogues, data lineage, data quality and master data management tools.ÌýÌý

And for more from Ä¢¹½¶ÌÊÓƵ, find us onÌý,ÌýÌýorÌý

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