Download the slides here>> About the Webinar The first step towards improving data asset value is mastering organizational data leveraging capabilities. Improving your metadata practices effectively focuses on data-leveraging strategies: Metadata – literally, data about data – is a practice area required by all organizations. Understanding metadata and its associated technologies as more than […]
Which Data Quality Issues Are Plaguing Data Engineers Today?
We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]
How Data Governance and Data Literacy Overlap
In today’s tech-driven world, with 120 zettabytes generated annually, most of us already use data – and lots of it. “Everyone who reads a paper or scrolls through the Internet is already acquainted with data,” said Wendy Lynch, founder of analytic-translator.com and Lynch Consulting, in a recent Elevating Enterprise Data Literacy webinar. “We depend on data, compare data, react to data, […]
Creating a Data Maturity Model: What, Why, How
Creating a data maturity model can be useful for a business that is shifting from minimal use of its data to maximizing its potential. A data maturity model is a blueprint that can help determine the best ways to improve how an organization uses its data. It can identify the gaps in a business’s data […]
Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data
Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]
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 […]
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 […]
Why the Future Success of Organizations Relies on Innovation from IT
Organizations are sitting on a mountain of data and untapped business intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors. And the organizations that can answer the tough questions […]
What Is Data Strategy and Why Do You Need It?
With the increasing amount of data available, businesses need to have a clear, enterprise-wide plan on how to collect, analyze, and use data to make informed decisions. A well-laid-out plan or “Data Strategy” can help businesses identify gaps and take corrective actions to improve operations, enhance customer experience, and drive growth. A strong Data Strategy can also […]