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This is my monthly check-in to share with you the people and ideas I encounter as a data evangelist with DATAVERSITY. This month we’re talking about the current demand for masterdatamanagement (MDM). Read last month’s column here.) What is MDM?
If you are responsible for MasterDataManagement (MDM) in your company, you are likely considering moving or implementing MDM on the cloud. The post MasterDataManagement on Cloud Journey appeared first on DATAVERSITY. Although there […].
Within the DataManagement industry, it’s becoming clear that the old model of rounding up massive amounts of data, dumping it into a data lake, and building an API to extract needed information isn’t working. The post Why Graph Databases Are an Essential Choice for MasterDataManagement appeared first on DATAVERSITY.
Masterdatamanagement uses a combination of tools and business processes to ensure the organization’s masterdata is complete, accurate, and consistent. Masterdata describes all the “relatively stable” data that is critical for operating the business.
This reliance has spurred a significant shift across industries, driven by advancements in artificial intelligence (AI) and machine learning (ML), which thrive on comprehensive, high-quality data.
This problem will become more complex as organizations adopt new resource-intensive technologies like AI and generate even more data. By 2025, the IDC expects worldwide data to reach 175 zettabytes, more […] The post Why MasterDataManagement (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.
As the MasterDataManagement (MDM) solutions market continues to mature, it’s become increasingly clear that the program management aspects of the discipline are at least as important, if not more so, than the technology solution being implemented. Click to learn more about author Bill O’Kane.
The global masterdatamanagement (MDM) market is estimated to grow from USD 1.6 Traditional MDM systems are purpose-built for a single type of data or domain. billion in 2019 to USD 3.4 billion by 2024, with the multi domain MDM solution segment expected to grow at the highest CAGR during this forecast period.
The second wave of interest for a MasterDataManagement (MDM) solution is here. In this article, we will share a few key considerations based on the current trends, technology […]. Are you thinking of implementing a new MDM or replacing your existing MDM solution?
In my eight years as a Gartner analyst covering MasterDataManagement (MDM) and two years advising clients and prospects at a leading vendor, I have seen first-hand the importance of taking a multidomain approach to MDM. Click to learn more about author Bill O’Kane.
Of these pillars, perhaps the most foundational and critical is the data culture. Research suggests that many organizations struggle to create this data culture and a healthy data culture is tied to overall performance. What does the data say?
Part 1 of this article considered the key takeaways in data governance, discussed at Enterprise Data World 2024. […] The post Enterprise Data World 2024 Takeaways: Key Trends in Applying AI to DataManagement appeared first on DATAVERSITY.
Data fabric is redefining enterprise datamanagement by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. This article gives an expert outlook on the key ingredients that go into building […].
Getting to great data quality need not be a blood sport! This article aims to provide some practical insights gained from enterprise masterdata quality projects undertaken within the past […].
As part of a masterdatamanagement (MDM) implementation, a series of rules must be implemented to determine if two records refer to the same real-world entity that they represent. In the world of MDM, this is often referred to as the golden record, and masterdata match rules identify when two should become one.
Masterdata lays the foundation for your supplier and customer relationships. However, teams often fail to reap the full benefits […] The post How to Win the War Against Bad MasterData appeared first on DATAVERSITY.
The foundation of a business’s digital transformation is effective datamanagement. Masterdatamanagement services allow you to effectively utilise the new currency of data and effectively collaborate between different functional verticals, departments, and stakeholders for better productivity, efficiency, and […]
Click to learn more about author Kevin Campbell. As enterprises continue to transform their legacy technology into tools fit for the modern age, digital transformation has become the key buzzword describing this transition into the 21st century.
The smart factory and plant now incorporate an array of connected technologies, all generating a vast volume of data. As a result, data will continue its exponential growth, […]. The post Why Effective DataManagement Is Key in a Connected World appeared first on DATAVERSITY.
This article covers everything about enterprise datamanagement, including its definition, components, comparison with masterdatamanagement, benefits, and best practices. What Is Enterprise DataManagement (EDM)? Management of all enterprise data, including masterdata.
As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. The post Dear Laura: Should We Hire Full-Time Data Stewards? Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! Last year I wrote […].
Are you interested in leveraging Google Analytics to maximise the value of your data? In this article, we’ll review the Google Data Studio and break down how data analytics is transforming business. In order to masterdatamanagement, you’ll need to understand the metrics.
This article is the second in a series taking a deep dive on how to do a Current State Analysis on your data. see first article here) This article focusses on Data Freshness: what it is, why it’s important, and what questions to ask to determine its current state.
In the first article, I introduced and explained the approach to application development called Domain-Driven Development (or DDD), explained some of the DataManagement concerns with this approach, and described how a well-constructed data model can add value to a DDD project by helping to create the Ubiquitous Language that defines the Bounded Context (..)
Domain-specific data governance has been of focus lately in various industries. In this article, I simplify what it means and how it is done. What is Data Governance? If you ask twenty people in a room what data governance is, you might get twenty different answers. None of them might be wrong, which is the […].
Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise datamanagement landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.
Can the responsibilities for vocabulary ownership and data ownership by business stakeholders be separate? I have listened to many presentations and read many articles about data governance (or data stewardship if you prefer), but I have never come across anyone saying they can and should be. Should they be?
I had something else nearly ready that was expanding on the broad questions of ethics in information and datamanagement I discussed last time, drawing on some work I’m doing with an international client and a recent roundtable discussion I had with some regulators […].
As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on data governance. Two recent books have ideas that are worthy of data governance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Zemmel; and “Data Is Everybody’s Business” by Barbara H.
All month long, we’ll be exploring cybersecurity-related topics to help you (and your data) stay safe online. October is Cybersecurity Awareness Month! Click to learn more about author Matt Shealy. As organizations continue to adopt remote work, more opportunities are created for both companies and employees.
Data has been called the new oil. Now on a trajectory towards increased regulation, the data gushers of yore are being tamed. Data will become trackable, […]. Click to learn more about author Brian Platz.
Organizations seeking responsive and sustainable solutions to their growing data challenges increasingly lean on architectural approaches such as data mesh to deliver information quickly and efficiently.
Many in enterprise DataManagement know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers.
Hands down one of the most frequent observations when walking the data factory at different clients is the excessive use of spreadsheets for data collection and purification. These spreadsheets are part of a critical data enrichment process for getting reports out the door on time.
How is the multi-billion real estate sector doing in a data-driven world? The industry sits on loads of data gathered about property, their use and its inhabitants.
Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective datamanagement in place. But what exactly is datamanagement? What Is DataManagement?
In this article, we will explore some of the best Talend alternatives so you can make an informed decision when deciding between data integration tools. Manage All Your Data From End-to-End With a Single, Unified Platform Looking for the best Talend alternative? Pros: Support for multiple data sources and destinations.
Data is the new oil. As customer data becomes increasingly important to your success, you need to manage it well. As a business, your most valuable asset is customer data. Data can be used to identify […]. It’s cheaper, more plentiful, and just as valuable.
While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. This article will outline the five main differences between SQL and NoSQL databases to help you determine which is right for your project.
While SQL databases have been dominant for decades, the rise of big data and need for greater flexibility have led to the growing popularity of NoSQL databases. This article will outline the five main differences between SQL and NoSQL databases to help you determine which is right for your project.
Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].
As mentioned in my earlier articles ( Healthcare Data Sharing & Zero Knowledge Proofs in Healthcare Data Sharing ), GAVS Rhodium framework enables Patient and DataManagement and Patient Data Sharing and graph databases play a major part in providing patient 360 as well as for provider (doctor) credentialing data.
Informatica, one of the key players in the data integration space, offers a comprehensive suite of tools for datamanagement and governance. In this article, we are going to explore the top 10 Informatica alternatives so you can select the best data integration solution for your organization.
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