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Article Data Management Data Quality 
Smart Data Collective
SEPTEMBER 28, 2022
quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new data management tools. Data management is a growing field, and it’s essential for any business to have a data management solution in place.
317 
Dataversity
APRIL 1, 2024
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.
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Dataversity
DECEMBER 24, 2020
The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of Data Management appeared first on DATAVERSITY.
242 
Dataversity
AUGUST 7, 2023
Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.
246 
Dataversity
FEBRUARY 15, 2021
This article introduces Force-Field Analysis (FFA) [1], a tool that one of us (Tom) has used for many years to help understand and summarize the impacts of multiple factors in the data space. The post Increasing the Business Impact of Data Management Using Force-Field Analysis appeared first on DATAVERSITY.
246 
Dataversity
NOVEMBER 27, 2024
Imagine a world where your data not only tells a story but also anticipates your next move – this is the promise of effective data management in the AI era.
130 
Passionate BA
DECEMBER 5, 2024
Learn about data strategy pitfalls A few words about data strategy Elements of Strategy A solid strategy outlines how an organization collects, processes, analyzes, and uses data to achieve its goals. You will find my business analysis digest, my articles, and more! Is that your first visit to Passionate BA?
130 
Dataversity
JANUARY 20, 2021
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 Data Management Is Key in a Connected World appeared first on DATAVERSITY.
246 
Dataversity
MAY 1, 2023
The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of Data Management to Unlock Value appeared first on DATAVERSITY. But only very few have succeeded in connecting the knowledge of these three efforts.
244 
Dataversity
MARCH 10, 2021
Companies must create a standard for their data that fits their business needs and processes. The post Three Reasons to Take a More Holistic Approach to Data Management appeared first on DATAVERSITY. To determine what those are, start by asking […].
246 
Dataversity
APRIL 23, 2021
Within the Data Management 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 Master Data Management appeared first on DATAVERSITY.
The Data Administration Newsletter
MAY 4, 2022
Getting to great data quality need not be a blood sport! This article aims to provide some practical insights gained from enterprise master data quality projects undertaken within the past […].
114 
Dataversity
FEBRUARY 15, 2023
Project Open Data is a place where fostering collaboration and promoting improvement in open data policy is intended. This […] The post How Can Project Open Data Improve Data Quality? appeared first on DATAVERSITY.
130 
Dataversity
JUNE 7, 2024
Participating in such events has multiple advantages, including becoming familiar with trending topics in the data management […] The post Enterprise Data World 2024 Takeaways: Trending Topics in Data Management appeared first on DATAVERSITY.
187 
Dataversity
NOVEMBER 7, 2022
Data quality issues have been a long-standing challenge for data-driven organizations. Even with significant investments, the trustworthiness of data in most organizations is questionable at best. Gartner reports that companies lose an average of $14 million per year due to poor data quality.
242 
Dataversity
NOVEMBER 14, 2023
Master data management uses a combination of tools and business processes to ensure the organization’s master data is complete, accurate, and consistent. Master data describes all the “relatively stable” data that is critical for operating the business.
The Data Administration Newsletter
MARCH 15, 2022
1 In this article, I will apply it to the topic of data quality. I will do so by comparing two butterflies, each that represent a common use of data quality: firstly and most commonly in situ for existing systems, and secondly for use […]. We know the phrase, “Beauty is in the eye of the beholder.”1
98 
Dataversity
NOVEMBER 13, 2023
In September, I had the privilege of co-hosting a new special interest group (SIG), Women in Data Management and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.
173 
Tableau
APRIL 12, 2021
Product Manager, Tableau Prep. Data discovery and trust have been core principles of Tableau Catalog (part of Tableau Data Management ) since its introduction with Tableau 2019.3. With every release, we continue to add features that help users find and use trusted data with confidence. Kristin Adderson. Until 2021.1,
105 
Dataversity
AUGUST 16, 2024
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 Data Management appeared first on DATAVERSITY.
130 
Dataversity
DECEMBER 15, 2023
As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies.
147 
The Data Administration Newsletter
DECEMBER 2, 2020
Ensuring data quality is an important aspect of data management and these days, DBAs are increasingly being called upon to deal with the quality of the data in their database systems more than ever before. The importance of quality data cannot be overstated.
90 
Dataversity
MARCH 21, 2022
While data lakes and data warehouses are both important Data Management tools, they serve very different purposes. If you’re trying to determine whether you need a data lake, a data warehouse, or possibly even both, you’ll want to understand the functionality of each tool and their differences.
246 
Dataversity
NOVEMBER 9, 2023
In today’s data-driven world, where every byte of information holds untapped potential, effective Data Management has become a central component of successful businesses. The ability to collect and analyze data to gain valuable insights is the basis of informed decision-making, innovation, and competitive advantage.
147 
Dataversity
MAY 12, 2023
However, most companies fumble their approach to Data Management and fail to draw insights as a result. Data Management might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your Data Management processes might seem intimidating.
130 
The Data Administration Newsletter
FEBRUARY 5, 2025
Unsurprisingly, my last two columns discussed artificial intelligence (AI), specifically the impact of language models (LMs) on data curation. My August 2024 column, The Shift from Syntactic to Semantic Data Curation and What It Means for Data Quality, and my November 2024 column, Data Validation, the Data Accuracy Imposter or Assistant?
52 
ElegantJ BI
SEPTEMBER 30, 2021
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.
130 
ElegantJ BI
SEPTEMBER 30, 2021
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.
130 
ElegantJ BI
SEPTEMBER 30, 2021
When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Warehouse.
130 
Dataversity
JANUARY 6, 2021
Amazingly, statistics show that around 90 percent of this data is only two years old. However, Data Management and structuring are notoriously complex. […]. The post The Need for Flexible Data Management: Why Is Data Flexibility So Important? appeared first on DATAVERSITY.
162 
Dataversity
OCTOBER 23, 2023
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 Master Data Management (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.
Smart Data Collective
AUGUST 21, 2019
A 2015 paper by the World Economic Forum showed that big data might just be a fad. The article certainly raised a lot of controversy, considering the massive emphasis on the value of data technology. However, the article raised some very valid points. The article was not arguing that big data is going to go obsolete.
219 
Dataversity
APRIL 22, 2022
As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively. This is where the following 16 internal Data Management best practices come […]. The post 16 Internal Data Management Best Practices appeared first on DATAVERSITY.
130 
The Data Administration Newsletter
DECEMBER 4, 2024
We have lots of data conferences here. I’ve taken to asking a question at these conferences: What does data quality mean for unstructured data? Over the years, I’ve seen a trend — more and more emphasis on AI. This is my version of […]
52 
Dataversity
APRIL 20, 2021
As the Master Data Management (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.
Dataversity
MARCH 16, 2021
When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource. The post Top Use Cases for Data Management Automation appeared first on DATAVERSITY. But it needs to be well […].
130 
Dataversity
MAY 9, 2022
Data fabric is redefining enterprise data management 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 […].
130 
Dataversity
NOVEMBER 1, 2021
Many in enterprise Data Management 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. The enterprise […].
130 
The Data Administration Newsletter
AUGUST 31, 2021
Data is everywhere! But can you find the data you need? What can be done to ensure the quality of the data? How can you show the value of investing in data? Can you trust it when you get it? These are not new questions, but many people still do not know how to practically […].
105 
Dataversity
MAY 19, 2023
As technology has advanced, databases, warehouses, and data lakes have enabled information to be collected, stored, and managed electronically. But as businesses have rapidly increased the volume, velocity, and variety of data […] The post Why Good Data Management Matters Now More Than Ever appeared first on DATAVERSITY.
130 
Dataversity
MAY 7, 2024
Most, if not all, organizations need help utilizing the data collected from various sources efficiently, thanks to the ever-evolving enterprise data management landscape. Data is collected and stored in siloed systems 2. Different verticals or departments own different types of data 3.
147 
Dataversity
AUGUST 27, 2024
Streamlining […] The post Cloud Transition for Startups: Overcoming Data Management Challenges and Best Practices appeared first on DATAVERSITY. Here’s a straightforward guide to overcoming key challenges and making the most of cloud computing.
130 
Dataversity
MAY 4, 2021
Regardless of one’s industry or field, every organization always uses data in their everyday operations to help them attain their goals or help monitor their performance. However, without incorporating Data Management best practices, your data analysis may be flawed. […].
130 
Dataversity
JUNE 23, 2023
Some verticals, notably financial services, are beginning to tie ESG information directly to investment decisions, while all companies are realizing that […] The post Logical Data Management for Environmental, Social, and Governance (ESG) Initiatives appeared first on DATAVERSITY.
130
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