No matter what industry you work in, Data Management is increasingly important for your career and performance. Information is no longer separate bits of data – the internet of things (IoT) and big data mean that every piece of data is interconnected. But, to keep your data healthy and secure, you need to be aware […]
What Is Master Data Management and Why Is It Important?
Master Data Management (MDM) is an important method for developing and maintaining the uniformity and accuracy of the organization’s shared “master data.” Master Data Management allows businesses to improve the accuracy and uniformity of their important data assets, such as customer data, product data, asset data, and location data. Master data can be described as an […]
Core Data Concepts for Digital Transformation
Without a clear understanding of core data concepts, communications around implementing an organizational Data Management initiative can become a muddle. As different teams come together to plan and organize data activities, they must integrate what they mean about data with any technologies. For example, take the term “Data Governance.” Data engineers building systems and tools to enable […]
The Need for Holistic Market Data in Today’s Information-Driven Landscape
In the age of abundant information, companies face the challenge of extracting actionable insights from an overwhelming volume of data. Merely having access to “good data” is no longer sufficient; businesses require accurate, reliable, and unbiased information about customer opinions, behaviors, and motivations. Making informed business decisions necessitates holistic data that encompasses the entire market, […]
Why AI Forces Data Management to Up Its Game
The Information Age has flooded the modern enterprise with data. Demand for enterprise storage capacity will only increase in the years ahead. 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? Business and […]
9 Best Practices for Real-Time Data Management
In the era of digital transformation, data has become the new oil. 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. This article will guide you through nine best practices […]
Defending Your Organization from Illegal Data’s Wrath
In today’s interconnected world, businesses not only grapple with the management of vast amounts of data but also face the looming threat of illegal data concealed within their digital repositories. This proliferation of illegal data presents a range of risks and challenges that organizations must confront. Illegal data encompasses a broad spectrum of content or […]
Data Fabric Tools: Benefits and Features
The term “data fabric” refers to a complete architecture combining physical hardware layers, system processes, and virtual layers to allow data across systems to be accessed, managed, and analyzed at a single location. At the heart of data fabric tools is the concept of a virtual layer that sits on top of existing data infrastructure, such […]
Unlocking Success with Digital Transformation: A Strategic Roadmap for the Board
Digital transformation presents organizations with immense opportunities, but seizing them requires a strategic approach and careful selection of appropriate technologies. A recent study conducted by Deloitte that examined financial disclosures from over 4,000 global organizations, spanning a decade, revealed that “the right combination of digital transformation actions can unlock as much as $1.25 trillion in additional market […]
What Is Data Quality? Dimensions, Benefits, Uses
Data Quality (DQ) describes the degree of business and consumer confidence in data’s usefulness based on agreed-upon business requirements. These expectations evolve based on changing contexts in the marketplace. As people get new information and experience different interactions, business requirements face updating, redefining Data Quality needs within the data’s lifespan. Since DQ represents a moving […]