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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.
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.
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.
Datamanagement technology plays a very important role in photo editing and manipulation. In June, The New York Times published a fascinating article on some of the many ways that datamanagement technology can help create amazing photos and visuals. One of […]
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.
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.
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.
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, […].
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.
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?
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 […].
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.
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.
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.
As organizations increasingly adopt digital transformation strategies, robust datamanagement platforms have become paramount. Dataverse, part of the Microsoft Power Platform, is a versatile and robust solution designed to streamline datamanagement and integration across various applications. Read More.
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.
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.
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.
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.
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.
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.
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.
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.
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.
While data lakes and data warehouses are both important DataManagement 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.
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 DataManagement (MDM) and AI Go Hand in Hand appeared first on DATAVERSITY.
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