Evaluating Enterprise Data Literacy

Any organization that aims toward complete digital transformation must move toward enterprise data literacy. So, what exactly is data literacy? Gartner defines data literacy as: “The ability to read, write and communicate data in context, including an understanding of data sources and constructs, analytical methods and techniques applied – and the ability to describe the…

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What Is Data Literacy?

Data literacy (DL) describes how well an individual or organization understands, works with, analyzes, visualizes, and applies data to reach their goals. The specific context and use case determine what applying data literacy looks like in practice. For example, while reading visualizations on product deliveries provides value, true data literacy involves going further. It involves actively…

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The Analytics Sandwich: Understanding the Business Value of Data and AI

In discussions with data management professionals, conversations often veer toward the technical intricacies of migration to the cloud or algorithm optimization, overshadowing the core business objectives that originally spurred these initiatives. Yet, conversations with chief information officers (CIOs) and chief data officers (CDOs) reveal a relentless pursuit of concrete business value, a metric that determines…

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Data Intelligence: The Key to Empowered People and Decisions

McKinsey analysts predict that enterprise employees will rely on data for almost every decision come 2025. If true, this development would mark a significant departure from the current business modus operandi. According to our research, only 25% of enterprise data professionals believe their organization’s decision-making process is data-backed or strategic.  How are these two concepts – the perception of data…

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Building an Effective Data Strategy for Edge Deployments

Data analytics and integration are the key components of building a data strategy. For organizations to have an effective data strategy, it requires the definition of measurable metrics and proper consideration of all data sources. An effective data strategy also needs to define how data can be moved from various sources to a location where…

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2023 DATAVERSITY Top 20

As the year draws to a close, we here at DATAVERSITY have an annual tradition of digging deep into our data and reflecting on the hits and misses. What was the most popular Data Management content on dataversity.net and our training center over the past 12 months? Which core topics did you – our data…

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The Currency of Information: The Business Value of Data (Part One)

Data professionals often talk about the importance of managing data and information as organizational assets, but what does this mean?[i] What is the actual business value of data and information? How can this value be measured? How do we manage data and information as assets? These are some of the questions that I intend to address…

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Four Ways SMBs Can Maximize the Value of Data

Businesses of all sizes are collecting more data, continuously, than ever before. But many – particularly small and medium-sized businesses (SMBs) – have trouble understanding where their data sits, how to connect and act on it, how to manage it, and, most importantly, how to drive value from it.  While there’s been a huge surge…

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Crossing the Data Divide: Framework for Selling Data Initiatives

Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of…

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