Gartner Tool: Vendor Identification For Data And Analytics Governance Platforms
Gartner provides a tool for data analytics and governance leaders to research, evaluate, and shortlist data governance solutions.
A Data and Analytics Governance platform is a set of integrated technology capabilities that enables governance across all information, data, and analytics assets. It focuses on the work of policy setting and enforcement and exposes an extended user experience for all relevant stakeholders for a range of policies such as quality, privacy, security, and standards.
Gartner vendor evaluation tool for data governance solutions. Source: Gartner
Critical Capabilities Per La Qualit Dei Dati
Secondo Gartner, le funzionalità critiche e fortemente differenzianti nellambito delle diverse Data Quality Solutions includono i metadati e il data lineage, nonché la capacità di rilevare e monitorare anomalie, lautomazione e laugmentation. Con questultima sintende la capacità di automatizzare alcuni processi di qualità dei dati, grazie agli active metadata e alle tecnologie di intelligenza artificiale e machine learning.
Sono augmented tutte le capabilities che assistono lutente nei suoi task, sostenendolo nelle operazioni complesse e ripetitive, proprio come fa Irion: l si declina a sua volta in discovery , suggestion e automation .
Simplicity: Democratizing Data Quality With Simple Efficient Collaborative Data Systems
Data practitioners need simple, intelligent, automated data quality tools to transform data chaos into valuable, reusable data assets.
Talend was among the first contenders to cover that need. Talend introduced self-service data preparation tools in 2016, bridging the gap between IT capabilities and business needs. The following year, Talend entered the Magic Quadrant for Data Quality Solutions as a Leader. Today, Talend Data Fabric provides a unified, collaborative platform in the cloud on which nontechnical users can profile, contribute, and improve data, removing the hassle of legacy on-premises systems.
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The Paradigm Shift: Going From Passive To Active Metadata
Today, were at an inflection point in metadata management the start of a new era marked by a wholly new way to think about metadata and the role that it plays in the data stack. This is where active metadata, the subject of Gartners new market guide, comes in.
A quick search for the word active throws up phrases that are the polar opposite of passive:
- engaged in action characterized by energetic work, participation, etc.
- being in a state of existence, progress, or motion
- having the power of quick motion nimble
Take a moment to think about these phrases in the context of metadata, and they paint a picture of what active metadata can be.
Active metadata: an always-on, intelligence-driven, action-oriented system that is an antithesis of its passive, static predecessor.
Precisely Ranked Among Top Five Data Management Software And Data Integration Providers By Gartner
Data integrity leader noted for its impressive growth in revenue and market share in Gartner’s Market Share Analysis reports for Data Management Software and Data Integration categories
Precisely, the global leader in data integrity, today announced it has been recognized by Gartner in the latest , Worldwide as the fifth highest ranked vendor by revenue in 2021, placing it higher than other industry heavyweights including Oracle and Microsoft.
The report additionally highlighted that Precisely experienced the highest growth among the top five vendors, with the successful acquisitions of Winshuttle and Infogix, as well as continued growth in both data integration and data quality.
At Precisely, were on a mission to empower businesses to make better decisions based on trusted data, said Eric Yau, Precisely Chief Operating Officer. Its great to see the tremendous impact were making in the market. We continue to make strategic investments in our product portfolio, strategic services, customer support and tech partnerships to ultimately make our customers successful.
The Data Integrity Suite uniquely combines data integration with data quality and governance, location intelligence and data enrichment, forming an unbeatable solution for customers at any stage of their data integrity journey, added Anjan Kundavaram, Chief Product Officer at Precisely.
Learn more about the Precisely Data Integrity Suite.
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Global Insights And Momentum
According to Gartner, among the segments making up enterprise public cloud services, database platform as a service and cloud infrastructure and platform services saw the fastest growth in 2020, with 50.8 percent and 43.2 percent year on year, respectively.3 This growth is driven primarily by ongoing application migrations to the cloud, data center consolidations, and digital business initiatives.
Data and analytics play central roles in how organizations conduct business through a digital lens. In fact, Chief Data Officers who successfully demonstrate return on investment from their data and analytics investments are 1.7 times more likely to consistently produce clear business value. In addition, they are 2.3 times more likely to reduce time to market and 3.5 times more likely to monetize their data.4 Gareth Herschel, Research Vice President at Gartner, wrote, As enterprises look to recover from the profound disruptions of the last year, D& A can help with tasks such as enabling business model transformation, optimizing resource allocation, or figuring out new ways to connect employees, customers and other stakeholders.5
Data Dictionary And Business Glossary
A data dictionary provides information and insights about the data stored in your database It is the documentation for your database. Most common insights include data sources, table names, descriptions, and relationships, column names and descriptions, data types, validation rules, and SQL queries related to the table.
A business glossary is a repository of business terms, metrics, KPIs, and key definitions associated with your data assets. Glossaries reduce the prevalence of inconsistent terminologies that affect data discovery and accessibility, hence paving the road toward data democratization.
Learn more Importance of data dictionary and business glossary in data governance
Data dictionary and business glossary helps everyone on your team be on the same page. Source: Atlan
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Ibms Holistic Approach To Data Quality
With a strong end-to-end data management experience combined with innovation in metadata and AI-driven automation, IBM differentiates itself by offering integrated quality and governance capabilities.
IBM Watson Knowledge Catalog, QualityStage, and Match360 services on Cloud Pak for Data offer a composable data quality solution with an easy way to start small and expand your data quality program across the full enterprise data ecosystem. Watson Knowledge Catalog serves as an automated, metadata-driven foundation that assigns data quality scores to assets and improves curation through automated data quality rules. The solution offers out-of-the-box automation rules to simplify the addressing of data quality issues.
With the recent acquisition of Databand.ai, a leading provider of data observability solutions, IBM can elevate traditional DataOps by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. IBMs partnership with Manta for automated data lineage capabilities further strengthens its ability to help clients find, track and prevent issues closer to the source and for a more streamlined operational approach to managing data.
Tibco Software Named A Leader For Sixth Time
For the sixth time in a row, TIBCO has been recognized as a Leader in the 2021 Gartner® Magic Quadrant for Master Data Management Solutions.
The 2021 Gartner® Magic Quadrant for MDM Solutions evaluates many of the industrys top MDM solution providers across an exhaustive range of criteria. TIBCO EBX offers a comprehensive, all-in-one solution to managing, sharing, and governing your master data assets with the necessary capabilities to generate valuable insights faster and provide accurate views across all business functions of your organization.
Gartner, Magic Quadrant for Master Data Management Solutions, Sally Parker, Malcolm Hawker, Simon Walker, 6 December 2021
TIBCO Software was referred to as Orchestra Networks in the Jan 2017, Oct 2017, and Dec 2018 report.
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Gartner Magic Quadrant For Data Integration Tools
Each year, renowned IT consulting firm Gartner researches and compiles reports based on their findings of current market trends in a wide variety of industries. Published as Magic Quadrants, these results highlight the top vendors in each category and point out both strengths and challenges they might face.
Although the 2020 Gartner Magic Quadrant for Data Integration Tools isnt drastically different from past years, the technologies and tools have evolved, giving certain vendors a leading edge against their nearest competitors.
Active Metadata Platforms Are Api
Embedded collaboration is about work happening where you are, with the least amount of friction. The action layer of an active metadata platform is what finally makes embedded collaboration possible.
What if you could request access to a data asset when you get a link, just like with Google Docs, and the owner could get the request on Slack and approve or reject it right there?
While this workflow sounds pretty simple, it is phenomenally difficult to implement seamlessly . It would require that the final end-users tool interface with an access and entitlements policy engine, which would send a request to the data owner on a communication tool like Slack.
We will never be able to achieve an embedded collaboration workflow like this without an active metadata platform orchestrating actions across the entire data stack.
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Funzionalit Uniche Per Il Dialogo Tra It E Business
Una piattaforma completa per il presidio della Data Quality come Irion EDM® parte dallanalisi del contesto e riesce a istanziare in pochi secondi centinaia di controlli automatici per verificare laffidabilità dei dati, grazie alla lettura dei metadati . Il sistema procede quindi con lanalisi degli esitidei controlli, coadiuvando il processo di remediation sulle anomalie rilevate.
Irion dispone di funzionalità uniche sul mercato per facilitare il dialogo e allineare lIT al business: un controllo scritto in termini tecnici viene tradotto istantaneamente in termini business-friendly, grazie al dizionario dei dati. Si possono adottare metriche per la Data Quality a partire dai metadati disponibili, indici di conformità dei dati alle regole e indici di esercizio dei processi data intensive , indici di governo dei dati o altri indicatori per controllare fenomeni specifici. In sintesi, il vantaggio di Irion è la capacità di offrire molteplici funzionalità di integration, quality, reconciliation nellintero processo di gestione dei dati, integrandosi con gli altri strumenti disponibili sul mercato.
Ibm Is Named A Leader In The Gartner 2021 Magic Quadrant For Data Science And Machine Learning Platforms
By Rathnakumar Udayakumar | 3 minute read | March 4, 2021
The latest Gartner Magic Quadrant for Data Science and Machine Learning Platforms has just been released, and IBM is delighted to be recognized as a Leader in the space. Watson Studio on IBM Cloud Pak for Data, a modular, open and extensible platform for data and AI that combines a broad set of descriptive, diagnostic, predictive and prescriptive capabilities. Organizations seeking to more efficiently run and manage AI models, simplify their AI lifecycle management, and empower their data scientists with technology that can help optimize their data-driven decision-making can turn to IBM Watson® Studio. The product builds upon trusted solutions, because of that IBM now delivers a modern and comprehensive solution that leverages its roots in SPSS, ILOG CPLEX and other earlier products, complemented by a stream of innovations from IBM research, comprising a well-rounded vision.
Finally, the entire IBM Cloud Pak for Data platform is designed to provide customers with the flexibility to deploy IBMs offerings such as IBM Watson Studio, IBM Knowledge Catalog, IBM Db2, and IBM DataStage on the vendors of their choice. Building on the hybrid-cloud foundation of Red Hat® OpenShift®, IBM Watson Studio on IBM Cloud Pak for Data simplifies the process of deploying almost any open-source project to production with containerized resource and infrastructure management efficiency.
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Gartner Magic Quadrant For Data Governance
Gartner Magic Quadrant is a proprietary market research methodology that helps compare and contrast tools and technology providers. The magic quadrant evaluates and places the tools in 4 quadrants namely: Challengers, Leaders, Niche Players, and Visionaries.
At present, Gartner does not have a magic quadrant for data governance tools.
If you are trying to understand data governance tools with Gartners lens then resources like strategic roadmap, , vendor evaluation tool, and peer review platform are great places to start.
Semarchy Recognized As A 2022 Gartner Peer Insights Customers Choice For Master Data Management
Semarchy Recognized as a 2022 Gartner® Peer Insights Customers Choice for Master Data Management
Semarchy is excited to announce we have been recognized as a 2022 Gartner® Peer Insights Customers Choice for the Master Data Management category. This distinction is a recognition of vendors in this market based on feedback and ratings from verified end-users of our product.
Overall, Semarchy, the ONLY Gartner® Magic Quadrant Leader for Master Data Management with 100% of customers saying they would recommend our product in the last 12 months and giving us a 4.6 out of 5.
Vendors placed in the upper-right quadrant of the Voice of the Customer quadrants are recognized with the Gartner Peer Insights Customers Choice distinction, denoted with a Customers Choice badge. The recognized vendors meet or exceed both the market average Overall Rating and the market average User Interest and Adoption.
Here are some comments from customers that contributed to this distinctionover the last 12 months:
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This Marks A Paradigm Shift In How We Should Approach Metadata Heres The Why And How
In January of this year, I wrote that metadata management is at the cusp of a transformational leap forward.
This week, Gartner took a huge step toward this by scrapping its Magic Quadrant for Metadata Management Solutions and replacing it with a . This change heralds a new way of approaching metadata in todays modern data stack.
Whether you deal with kilobytes or terabytes of data every day, youre probably wondering what this actually means.
- Why did traditional metadata management fail?
- How is traditional metadata different from active metadata?
- Why does this report mark a paradigm shift in metadata management?
- What does this mean for data leaders today?
In this article, I try to unpack these questions and share my predictions on where metadata management is headed.
Sas Is Recognized As A Leader In 2022 Gartner Magic Quadrant For Data Quality Solutions
CARY, N.C., Nov. 9, 2022 /PRNewswire/ — In a rapidly changing environment with exponential growth in analytics and data-driven decisions, organizations require trusted, innovative and quality data solutions. For the 16th consecutive time, SAS is recognized as a Leader in the 2022 Gartner Magic Quadrant for Data Quality Solutions for its Ability to Execute and Completeness of Vision.
“Analytics and AI are accelerating innovation across businesses of all sizes.” Ron Agresta, SAS
According to the Gartner report: “Delivering reliable, trusted and timely data for business consumption is a continuous effort and process that can be supported with modern technologies in data quality solutions” and ” by 2024, 90% of data quality technology buying decisions will focus on ease of use, automation, operational efficiency and interoperability as the critical decision factors.”
Recently, AI and analytics powerhouse SAS brought its cutting-edge data quality solutions to more people than ever with SAS® Viya®, on the Microsoft Azure marketplace. SAS Viya on Microsoft Azure integrates analytics, data integration, data preparation and data governance, all available with a click of a button, in a pay-as-you-go format.
Learn more about SAS data management and data quality solutions.
*Gartner, Magic Quadrant for Data Quality Solutions by Ankush Jain, Melody Chien. 1 November 2022.
SAS was recognized as Dataflux from 2006-2012.
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Alation Improves Position On The Completeness Of Vision Axis Compared To The Previous Year
REDWOOD CITY, Calif October 22, 2019 Alation, Inc., the data catalog company, today announced that for the third year running it was recognized as a Leader in the Gartner Magic Quadrant for Metadata Management Solutions, and this year improved its position on the completeness of vision axis compared to the previous year. According to the report, Leaders are frontrunners with offerings that support the full range of metadata management capabilities. They exhibit a clear understanding of, and vision for, where the market is headed, and are good at meeting customers requirements for a variety of use cases. They support both business and technical metadata scenarios, with the help of strategic partnerships to optimize delivery of their solutions. They establish market trends by providing new functional capabilities and by identifying new types of business problem to which they can bring significant value. Leaders have an established and/or fast-growing market presence and a multinational presence.
Alation delivers a comprehensive data catalog that meets the key criteria for metadata management. Gartner noted four examples of metadata use cases: data governance, risk and compliance, data analysis and data value. Alation believes that each use case is critical to building a healthy data culture and navigating enterprise digital transformations.
A complimentary copy of the complete report, including the Magic Quadrant graphic is available here.
Integration With The Modern Data Stack
The core of modern data governance is metadata interoperability. Governance tools must leverage open APIs to seamlessly exchange metadata across the entire data stack Data ingestion, ETL, catalogs, and BI tools.
Learn more What is modern data stack: history, components, platforms, and the future
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Active Metadata Platforms Dont Just Stop At Intelligence They Drive Action
This is probably the most important leap that active metadata platforms have taken from their predecessors. Instead of just being passive observers, they drive recommendations, generate alerts, and operationalize intelligence in real-time data systems.
For example, an active metadata platform can leverage past usage logs to understand which datasets are used most, and accordingly recommend an optimized schedule for data pipeline runs. However, a true active metadata platform wouldnt just stop there. It would send this recommendation to the data pipeline system and actually tune it through a native integration. All this without any human intervention, furthering the principles of a truly DataOps-driven system.
Another example is using active metadata to improve data quality. When a data quality issue is detected in a source table, the system can automatically stop the downstream pipelines to ensure that incorrect data doesnt make its way to the dashboard. Or better yet, the system can use past records about data quality failures to accurately predict what went wrong and fix it without any human intervention.