Master Data Management on Cloud Journey

Dataversity

If you are responsible for Master Data Management (MDM) in your company, you are likely considering moving or implementing MDM on the cloud. The post Master Data Management on Cloud Journey appeared first on DATAVERSITY. Click to learn more about co-author Kelvin Looi.

The 12 Days of Data Management

Dataversity

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. Click to learn more about author Scott Taylor.

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Building a Grassroots Data Management and Data Governance Program

Dataversity

Many in enterprise Data Management know the challenges that rapid business growth can present. The post Building a Grassroots Data Management and Data Governance Program appeared first on DATAVERSITY. Click to learn more about author Jenny Hyun.

B2B Customer Data Management

The Data Administration Newsletter

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.

Th(re)e Things that Make Compliant Data Management Strategies

Dataversity

Data Management has been changing tremendously. Each year, the volume of data we need to manage goes rapidly up, as does the number of sources where this data is generated. Click to learn more about author Stefan Vucicevic.

Why Adopting the Right Unstructured Data Management Strategy Is Critical

Dataversity

The post Why Adopting the Right Unstructured Data Management Strategy Is Critical appeared first on DATAVERSITY. While many sectors have been under severe economic pressure in the past couple of years, the post-pandemic economy is offering significant opportunities for growth.

Differences Between Data Management and Data Governance

The Data Administration Newsletter

A common misconception among c-level executives is that governance and management of data is the same thing other than in capital letters. Below, we will explore the main differences between Data Management […].

Data Management and Healthcare Data

Dataversity

Accurate and complete data is an indispensable tool for healthcare professionals and patients alike, and it is an essential part of the medical profession. The post Data Management and Healthcare Data appeared first on DATAVERSITY.

Data Management Enables eCommerce Success

The Data Administration Newsletter

Using reliable insights to keep up with rapid market changes, businesses are also deploying data mining and predictive analytics across massive amounts of clickstream and transactional data.

The Connection Between Good Data Management and Enterprise Agility

Dataversity

The post The Connection Between Good Data Management and Enterprise Agility appeared first on DATAVERSITY. Click to learn more about author Russ Ernst. The word “agile” is defined in one dictionary as “quick and well-coordinated in movement; lithe.”

Top Use Cases for Data Management Automation

Dataversity

Nowadays, we are surrounded by data: We produce a lot of personal data and work with a significant amount of data. When it comes to the business environment, data is crucial for effective decision-making, which makes it a highly valuable resource.

Is Unstructured Data the Future of Data Management?

Dataversity

In an increasingly tech-reliant world, data informs and powers much of our day-to-day lives. Data can be used to enhance AI capabilities, create personalized experiences, or be applied in medical research to help save lives. The post Is Unstructured Data the Future of Data Management?

Increasing the Business Impact of Data Management Using Force-Field Analysis

Dataversity

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. Click to learn more about co-author John Ladley. Click to learn more about co-author Thomas Redman.

Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

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. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub. Data Mart.

Factors and Considerations Involved in Choosing a Data Management Solution!

ElegantJ BI

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. Data Volume, Transformation and Location. Data Warehouse. Data Mart. Data Lake. Data Hub. Data Mart.

How Automation Streamlines Data Management

Smart Data Collective

Managing data is a challenge. It’s not hard to collect data, but most companies collect data in disparate locations and across multiple applications that don’t talk to each other. With this model, multiple reports are required to crunch data from multiple sources.

Three Reasons to Take a More Holistic Approach to Data Management

Dataversity

Taking a holistic approach to data requires considering the entire data lifecycle – from gathering, integrating, and organizing data to analyzing and maintaining it. Companies must create a standard for their data that fits their business needs and processes.

The Future of Digital Currencies and Data Management

Dataversity

The post The Future of Digital Currencies and Data Management appeared first on DATAVERSITY. Click to learn more about author Stuart Tarmy.

Why Graph Databases Are an Essential Choice for Master Data Management

Dataversity

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. Click to learn more about author Brian Platz.

Three Critical Success Factors for Master Data Management

Dataversity

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.

Cloud-Based Data Management Platforms in the Age of Privacy

Dataversity

Currently, many businesses are using public clouds to do their Data Management. Data Management platforms (DMPs) started becoming popular during the late 1990s and the early 2000s. Click to learn more about author Keith D. Foote.

Data Management is a Digital Transformation Foundation

The Data Administration Newsletter

Data Management is intrinsic to the change that Digital Transformation symbolizes. Comprising of hard facts about data from collection, unification, quality, and enrichment to maintenance, integration, and dissemination, data management critically influences Digital Transformation.

Low-Code Automation: The Key for Productive Data Management

Dataversity

The post Low-Code Automation: The Key for Productive Data Management appeared first on DATAVERSITY. Click to learn more about author Param Kahlon.

Data Management 20/20: Governing Data from Business Motivation to Behavior

The Data Administration Newsletter

Recently, I was working with a colleague on a data governance project. When it came to defining the data governance policies, we found ourselves questioning what the meaning of a policy was and how was it different from a rule or a standard or a procedure.

Ethics of Data Management in Smart Cities

Dataversity

The post Ethics of Data Management in Smart Cities appeared first on DATAVERSITY. Click to learn more about author Evelyn Johnson. Smart cities, commonly known as digital cities, use distinctive techniques to implement information and communication technologies (ICT).

What is Data Management and Why is it Important | Simplilearn

Simplilearn

In the 21st century, data is everything. With massive volumes of it generated every day, it stands to reason that we need to have better data management solutions available.

Administering Data Fabric to Overcome Data Management Challenges.

Smart Data Collective

In such an era, data provides a competitive edge for businesses to stay at the forefront in their respective fields. With the increased adoption of cloud and emerging technologies like the Internet of Things, data is no longer confined to the boundaries of organizations.

Data Management 20/20: Systemization of Data Governance

The Data Administration Newsletter

You’ve done Data Governance. But is it now time to systemize your Data Governance into an application?

Seven Data Management Tips and Best Practices for Small Business Owners

Dataversity

Data is all-pervading in the modern world. 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. Click to learn more about author Lidia S. Hovhan.

The Need for Flexible Data Management: Why Is Data Flexibility So Important?

Dataversity

We live in an era of big data. Amazingly, statistics show that around 90 percent of this data is only two years old. However, Data Management and structuring are notoriously complex. […]. Click to learn more about author David Leivesley.

New Approach to Reference Data Management in Pharma

The Data Administration Newsletter

Data supply chains in pharma and life sciences are generally long and complex. This impacts reference data in particular because its management is very distributed, leading to the increased need for downstream integration as well as overall redundancy.

Why the Next Generation of Data Management Begins with Data Fabrics

Dataversity

However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of Data Management Begins with Data Fabrics appeared first on DATAVERSITY. Click to learn more about author Kendall Clark.

Common Data Management Mistakes to Avoid

The Data Administration Newsletter

It’s reasonable today to say that a business doesn’t have much of a chance at success without a strong data operation. On the other hand, however, it’s a mistake to assume that this means every business needs to spend heavily on advanced technology relating to data collection.

Data Management: Best Data Recovery Tools for Windows 11

Smart Data Collective

One of the biggest concerns is that they can lead to data loss. If you are worried about a disaster impacting your business, then you have to be ready to restore your data as quickly as possible. You can hardly find a computer user who has never faced the issue of data loss.

The Book Look: Data Storytelling for Data Management

The Data Administration Newsletter

One exception is Telling Your Data Story: Data […]. Sometimes I like to read a book purely for pleasure, like a good Dan Brown or Stephen King novel, and sometimes I like to read a book to learn something new.

The Best Data Management Tools For Small Businesses

Smart Data Collective

As the world is gradually becoming more dependent on data, the services, tools and infrastructure are all the more important for businesses in every sector. Solutions for the various data management processes need to be carefully considered. What is data management?

Data Management 20/20: The Unacceptable Cost of Bad Data – Part 1

The Data Administration Newsletter

“…quite simply, the better and more accessible the data is, the better the decisions you will make.” – “When Bad Data Happens to Good Companies,” (environmentalleader.com) The Business Impact of an organization’s Bad Data can cost up to 25% of the company’s Revenue (Ovum Research) Bad Data Costs the US healthcare $314 Billion. (IT

Data Management 20/20: The Unacceptable Cost of Bad Data – Part 2

The Data Administration Newsletter

Financial Justification From the perspective of the business, sooner or later, costs should go down and revenues and profits should go up as a result of an investment.

Enterprise Data Management — Driving Large-Scale Change in Your Organization

Sisense

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive.

Why Good Data Management Is Essential to Data Analytics

Insight Software

Businesses today have access to a greater volume of data than ever before. Organizations that can effectively leverage data as a strategic asset will inevitably build a competitive advantage and outperform their peers over the long term. Data, Data, and More Data.

Podcast: Making changes with your data management

Clarasys

Welcome to the second episode in our series on data management. In our previous podcast , Philip and Aneesha talked about the challenges faced in the Not-for-Profit (N4P) sector around data management and the steps needed to start a data journey.

Case Study – Smarten Augmented Analytics Delivers COVID-19 Data Management & Analytics for U.S. Healthcare Business

ElegantJ BI

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs. One of the Partner Clients is a multispecialty physicians group offering medical management clinical research and other primary and urgent care services.

Case Study – Smarten Augmented Analytics Delivers COVID-19 Data Management & Analytics for U.S. Healthcare Business

ElegantJ BI

The Smarten Partner is a healthcare service provider in the United States, providing a web-based, patient-centric, healthcare management solution and workflow solutions to assist hospitals and healthcare facilities, increase operational efficiency and reduce costs. One of the Partner Clients is a multispecialty physicians group offering medical management clinical research and other primary and urgent care services.