Upcoming Webinars
DATE: March 23, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Discussions around data mesh and data fabric are ubiquitous in the data industry, and data mesh is often touted as the next “Big Thing”? Are…
DATE: April 6, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Achieving company-wide data literacy is a tall order, requiring advocacy, commitment, and investments in time, talent, and budget. Along the way, innumerable obstacles – practical, philosophical, or economic – can…
DATE: April 11, 2023 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Data tends to pile up and can be rendered unusable or obsolete without careful maintenance processes. Reference and Master Data Management (MDM) has been a popular Data Management approach to…
Featured Online Training

Click here for a free preview

Click here for a free preview

Click here for a free preview
Latest Blogs by Industry Experts

Read more about author Mark Milone. This is part 2 of a two-part article. Find part 1 here. In this section, we discuss how to leverage Data Governance to manage DEI data risk. In part 1 of this article, we identified several best practices for data that chief diversity officers can leverage to support data-driven approaches to diversity, equity, and inclusion (DEI). As discussed in part 1, risk arising from DEI data…

Read more about author Becky Trevino. After years spent purchasing and expanding SaaS usage to meet the challenges created by the pandemic, IT teams are now tightening SaaS spend and see growing security risks from shadow SaaS. SaaS is particularly painful for IT to manage. Ownership of these applications is decentralized across the organization and official procurement processes are often skipped, leading to non-compliant software being used in the estate…

Read more about author Anjan Kundavaram. The last few years have demonstrated how critical it is for businesses to maintain agility and make fast, confident decisions to stay ahead. The resulting economic uncertainty and growth of industry-wide trends, including ESG, cloud migration, and the rise of artificial intelligence and machine learning programs – such as OpenAI’s newly launched GPT-3 model and ChatGPT chatbot – are fast becoming drivers for businesses…

Read more about author Gilad David Maayan. Data breaches occur when sensitive information, such as financial data, personal identities, or confidential business information, is accessed and potentially disclosed to unauthorized parties. This can happen due to various reasons such as hacking, malware, human error, or weak security measures. The consequences of a data breach can be significant and far-reaching, including: Financial loss: Breached organizations may incur direct financial losses, such…
Recent Articles

Prepare for blockchain technology to play a significant role in business, society, and almost everything. While 45% of CIOs said their organizations had yet to invest in blockchain between 2016 to 2021,…

There is no silver bullet for how organizations can drive data literacy throughout their organizations, but a few general elements include technology, processes, training and programs, and change management. Once…

Large organizations want to create a flexible environment to innovate and respond quickly based on new data insights. But at the same time, these businesses want some structure for good Data…

Deep learning (DL) became an overnight “star” when a robot player beat a human player in the famed game of AlphaGo. Deep learning training and learning methods have been widely…
What is...?

Database Management allows a person to organize, store, and retrieve data from a computer.…

A data catalog centralizes access to all of an organization’s available data assets through…

Data Management is a comprehensive collection of practices, concepts, and processes dedicated to leveraging…

Data models document Data Architecture, aligning core business rules with data definitions. In addition,…

Data Strategy describes a “set of choices and decisions that together, chart a high-level…

Data Governance (DG) is a collection of components – data, roles, processes, communications, metrics,…