From social media to online shopping, data is generated and collected at an unprecedented rate. In the current data-powered society, it is crucial to be able to understand and interpret all types of data. Data literacy – the ability to read, analyze, and communicate with data – is crucial to use the power of data. […]
How Generative AI Is Making Data Catalogs Smarter
For the 72.29% of companies that want to gain business insights through analytics, knowing what and where to find their company-wide data becomes essential. To solve this need, many organizations implement data catalogs – comprehensive directories that list and describe all available enterprise data. Not every data catalog functions the same, and ones that use generative AI (aka “smart […]
Fundamentals of Real-Time Analytics
In the evolving world of business, the emergence of new technologies is aiding organizations to make agile and accurate decisions. Real-time analytics – which involves collecting and analyzing data as it happens – is one such technology that is changing the business landscape. With superfast identification of trends and patterns, businesses can leverage real-time analytics […]
Nine Key Benefits of Metadata Management
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 […]