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quintillion bytes of data are generated each day? Businesses are having a difficult time managing this growing array of data, so they need new datamanagement tools. Datamanagement is a growing field, and it’s essential for any business to have a datamanagement solution in place.
The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The post The 12 Days of DataManagement appeared first on DATAVERSITY. Click to learn more about author Scott Taylor.
Imagine a world where your data not only tells a story but also anticipates your next move – this is the promise of effective datamanagement in the AI era.
By transforming raw data generated across the floor 24/7 into actionable intelligence, industrial plants are equipped with data-informed insights necessary to create operational strategies that […] The post DataManagement in an Industrial Environment appeared first on DATAVERSITY.
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 master datamanagement (MDM). Read last month’s column here.) What is MDM?
If you are responsible for Master DataManagement (MDM) in your company, you are likely considering moving or implementing MDM on the cloud. The post Master DataManagement on Cloud Journey appeared first on DATAVERSITY. Most companies are either considering cloud, if not on a cloud adoption journey already.
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. The post DataManagement Is Dead – Data Empowerment Has Emerged appeared first on DATAVERSITY.
The post Forthcoming AI Regulation Makes DataManagement Imperative appeared first on DATAVERSITY. Not only has there been documentation of racial bias in facial recognition systems, but algorithmic decision-making has also played a role in denying minorities home loans, prioritizing men during hiring, […].
However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […] The post 9 Best Practices for Real-Time DataManagement appeared first on DATAVERSITY.
DataManagement 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. The post Th(re)e Things that Make Compliant DataManagement Strategies appeared first on DATAVERSITY.
For example, a major social media conglomerate recently came under fire for reports that user data was accessible to employees, leading lawmakers to call for an investigation by the F.T.C. This has piqued concern for data privacy once again and shines a light on the lack of […].
Business and […] The post Why AI Forces DataManagement to Up Its Game appeared first on DATAVERSITY. By the end of this decade, new enterprise storage capacity shipments are forecast to be 15 ZB per year, with the active installed base exceeding 45 ZB. Where Is This Growth Coming From?
To get the most out of data, it must be consolidated from many systems to unlock valuable business insights and feed applications such as machine learning […]. The post The Future of DataManagement: Five Predictions for 2022 appeared first on DATAVERSITY.
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 DataManagement? However, the biggest question remains: What is the best method to store, […]. appeared first on 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 DataManagement Is Key in a Connected World appeared first on DATAVERSITY.
In 2022, ensuring best-in-class DataManagement is anything but straightforward for CIOs and IT leaders. The volume, variety, and velocity of data being collected have grown exponentially, as has the number of cloud solutions that require the use of this data without your direct control.
The remainder of this point of view will explain why connecting […] The post Connecting the Three Spheres of DataManagement to Unlock Value appeared first on DATAVERSITY. But only very few have succeeded in connecting the knowledge of these three efforts.
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 DataManagement Using Force-Field Analysis appeared first on DATAVERSITY.
The post The Connection Between Good DataManagement and Enterprise Agility appeared first on DATAVERSITY. During the last two years, however, the word has taken on an entirely different meaning for companies navigating the complexities of a pandemic.
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 DataManagement appeared first on DATAVERSITY. To determine what those are, start by asking […].
This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]. The post The Evolution of Data Virtualization: From Data Integration to DataManagement appeared first on DATAVERSITY.
Likewise, at the back end, they must build a sturdy testing environment that prepares the application for big data inflows. As we know, chief information officers (CIOs) are at the helm of […] The post Understanding the Role of CIOs in Test DataManagement appeared first on DATAVERSITY.
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 Master DataManagement appeared first on DATAVERSITY.
However, most enterprises are hampered by data strategies that leave teams flat-footed when […]. The post Why the Next Generation of DataManagement Begins with Data Fabrics appeared first on DATAVERSITY. Agility is key to success here.
DataManagement used to be an enhancement to business operations. This is inclusive of data visibility, access controls, classification, compliance, and backups. But as the datasphere continues to grow exponentially, it’s now a critical factor to business success.
Participating in such events has multiple advantages, including becoming familiar with trending topics in the datamanagement […] The post Enterprise Data World 2024 Takeaways: Trending Topics in DataManagement appeared first on DATAVERSITY.
Master datamanagement 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.
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 reality of handling vast and varied data sets is pivotal for businesses aiming to stay competitive and informed. The strategic management of data is crucial in shaping business success. That’s why implementing innovative datamanagement systems […]
In September, I had the privilege of co-hosting a new special interest group (SIG), Women in DataManagement and Governance, alongside DATAVERSITY’s Shannon Kempe, at a pre-conference Enterprise Data World (EDW) event.
The world generated 120 zettabytes of data in 2023, on track for a 1.5x Unfortunately, datamanagement strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases.
The post DataManagement and Healthcare Data appeared first on DATAVERSITY. Patient notes have been modernized and replaced with electronic patient records that allow clinicians to view a patient’s medical history in seconds. At […].
This has resulted in high costs for data storage and protection, growing security risks from shadow IT and too many data silos, and the desire to leverage […] The post Unstructured DataManagement Predictions for 2024 appeared first on DATAVERSITY.
The insurance industry and the broader risk management sector have long contended with DataManagement issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields.
A successful data strategy is not just about technology; it’s about integrating data into the organization’s culture and ensuring that people at all levels are aligned and engaged. If you have just started reading my blog, I must indicate that you can find many other helpful materials on a blog page.
As we near the end of 2023, it is imperative for DataManagement leaders to look in their rear-view mirrors to assess and, if needed, refine their DataManagement strategies.
However, most companies fumble their approach to DataManagement and fail to draw insights as a result. DataManagement might seem like a back-office function, but it is critical to a modern company’s success. Getting started with or fixing your DataManagement processes might seem intimidating.
In today’s data-driven world, where every byte of information holds untapped potential, effective DataManagement 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.
This is especially true as data-intensive technologies like AI and machine learning (ML) become ubiquitous. Organizations without a proper datamanagement strategy will suffer the consequences of increased […] The post Optimize Your Data: The Five Latest Trends in Storage and DataManagement appeared first on DATAVERSITY.
Amazingly, statistics show that around 90 percent of this data is only two years old. However, DataManagement and structuring are notoriously complex. […]. The post The Need for Flexible DataManagement: Why Is Data Flexibility So Important? appeared first on DATAVERSITY.
Datamanagement is driven by machine learning. Merging machine learning with master datamanagement solutions is creating remarkable changes in the business world. What is different now is that machine learning makes it easier to get these tasks done more quickly, efficiently, and cost-effectively.
The life sciences industry has witnessed a surge in DataManagement solution investments over the past few years. Past DataManagement systems, often […] The post Life Sciences Need Scalable, Adaptable, and Flexible DataManagement Systems appeared first on DATAVERSITY.
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