Data Management Is Dead – Data Empowerment Has Emerged

Dataversity

In my last DATAVERSITY article, “The Machine Economy Is Here – The Digital Transformation Era Is Over,” I discussed the end of digital transformation, the arrival of the machine economy, and the emergence of data empowerment.

Forthcoming AI Regulation Makes Data Management Imperative

Dataversity

The post Forthcoming AI Regulation Makes Data Management Imperative appeared first on DATAVERSITY. Although algorithmic decision-making has become increasingly vital for many businesses, there are growing concerns related to transparency and fairness.

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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.

Cloud Data Management Challenges and Best Practices

Dataversity

Data sources are increasing at an accelerating pace, and so is the volume of data. In 2021, it was reported that 79 zettabytes of data were generated across the globe. The post Cloud Data Management Challenges and Best Practices appeared first on DATAVERSITY.

16 Internal Data Management Best Practices

Dataversity

In today’s digital world, data is undoubtedly a valuable resource that has the power to transform businesses and industries. As the saying goes, “data is the new oil.” However, in order for data to be truly useful, it needs to be managed effectively.

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.

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.

How Can Unifying Data Fabric and Data Management Help Enterprises?

Dataversity

Today, one of the most cutting-edge technologies is data fabric. Data fabric and data management can significantly improve business functions by connecting siloed data and making it accessible across divisions and workgroups.

The Evolution of Data Virtualization: From Data Integration to Data Management

Dataversity

Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today.

Why Effective Data Management Is Key in a Connected World

Dataversity

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.

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.

3 Data Management Questions to Ask Before Choosing a Cloud-Based Vendor

Dataversity

In 2022, ensuring best-in-class Data Management is anything but straightforward for CIOs and IT leaders. The post 3 Data Management Questions to Ask Before Choosing a Cloud-Based Vendor appeared first on DATAVERSITY.

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 […].

Why Does Multi Domain Master Data Management Matter?

The Data Administration Newsletter

The global master data management (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

Crucial Advantages of Investing in Big Data Management Solutions

Smart Data Collective

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. Big data analytics can also help you identify trends in your industry and predict future sales.

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.

The Role of Data Governance in Data Management

The Data Administration Newsletter

Both data governance and data management workflows are critical to ensuring the security and control of an organization’s most valuable asset— data. Is the positioning of data governance vs. data management correct?

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.

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.

Data Management Services Help Your Business

The Data Administration Newsletter

We are living in a world mapped by data points. Every customer and every opportunity are a combination of unique data points. Harnessing this data can transform your business potential to an […].

Why You Should Adopt a Vendor-Neutral Data Management Approach

Dataversity

The post Why You Should Adopt a Vendor-Neutral Data Management Approach appeared first on DATAVERSITY.

Implementing Unstructured Data Management in Today’s Multi-Vendor, Multi-Cloud Ecosystem

Dataversity

One of the challenges many organizations face is managing unstructured data’s impact within today’s diverse multi-cloud and multi-vendor infrastructure environments. By separating data management into four key categories, however, it’s […].

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.

3 Data Management Tips to Help Plan for the Day After Tomorrow

Dataversity

The post 3 Data Management Tips to Help Plan for the Day After Tomorrow appeared first on DATAVERSITY. Economic disruptions are forcing organizations to rethink the way they plan.

Steps Companies Should Take to Come Up Data Management Processes

Smart Data Collective

Data is becoming more important to modern organizations than ever before. One poll found that 74% of companies feel they are still struggling to use data effectively. One of the problems is that they don’t manage their data well.

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.

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.

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?

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.”

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.

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.

Today’s Decentralized World: Driving a Shift in Three Key Paradigms for Data Management

Dataversity

Pre-COVID data scaling, performance, and data services were largely manageable within the corporate data center. This massive increase in remote work arrangements has created additional challenges around managing data access and […].

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.

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.