Metadata management can offer many benefits for businesses, for a number of reasons. It is used to establish and enforce rules on defining and discovering an organization’s data assets. Among other things, this allows researchers to locate data quickly and efficiently and helps promote accurate data use. Metadata management is the organization of metadata for […]
Types of Machine Learning and Their Applications
Computers have become so ubiquitous that nearly every aspect of our lives revolves around their use, yet the machines haven’t lost their ability to amaze us. The latest jaw-dropping technology is the ability of computers to teach themselves new skills by analyzing huge amounts of data. The many types of machine learning promise to make […]
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 […]
Managing Risk with Frictionless AI
Artificial intelligence (AI) programs have existed longer than many people have been alive, with the first successful applications implemented in the 1950s. The 2020s promise greater AI potential that more businesspeople can use. Although modern AI brings powerful, accurate, and easier-to-use tools, organizations struggle to get the most value in their AI investments and achieve frictionless AI. To understand […]
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 […]
How to Become a Data Modeler
There is always a need for data modelers. However, the job description of this career field varies, depending on the needs of the organization. For example, if you become a data modeler working for a startup, you might coordinate with data scientists and data architects in designing a new system – one that includes the […]
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 […]
Data Integrity vs. Data Quality
Data Quality and data integrity are both important aspects of data analytics. With the rapid development of data analytics, data can be considered one of the most important assets a business owns. As a result, many organizations collect massive amounts of data for research and marketing purposes. However, the value of this data depends on […]
Data Lineage Tools: An Overview
Data lineage is the process of tracking and tracing data from its origin to its destination. It provides a detailed understanding of how data moves through an organization’s systems, applications, and processes. Organizations can use this information to maintain Data Quality, ensure regulatory compliance, and improve decision-making. Data lineage also helps organizations identify potential bottlenecks and inefficiencies […]