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Upcoming Webinars

Dec 8 DataEd Webinar: Exorcising the Seven Deadly Data Sins

DATE: December 8, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar The difficulty of implementing a new data strategy often goes under-appreciated, particularly the multi-faceted procedural challenges that need to be met while doing so. Deficiencies in organizational readiness and core…

Dec 10 ADV Webinar: Why Organizations Don't Change When They Need To

DATE: December 10, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar So you have a great idea for the data in your organization. Maybe it’s been acknowledged by some prominent leaders, but nothing ever happens. When the speaker has done his…

Latest Blogs by Industry Experts

From A for Analytics to Z for Zika Virus

Click to learn more about author Jeany Prinz. One of the great advantages of Data Science Analytics Platforms is their ability to analyze diverse types of data. Today, we want to move to the outer edge of the alphabet and look into data from the Zika virus. Our analysis is inspired by the Microreact project “Zika virus in the Americas” and is a nice use case for the exploration of epidemiological data…

Sentiment Analysis vs. Semantic Analysis: What Creates More Value?

Click to learn more about author Muthamilselvan K. Today’s business world features cut-throat competition. Organizations keep fighting each other to retain the relevance of their brand. Are you wondering how to accomplish this? There is no other option than to secure a comprehensive engagement with your customers. Businesses can win their target customers' hearts only if they can match their expectations with the most relevant solutions. It is why business…

Interest in Enterprise Cloud Adoption Continues to Grow into 2021

Click to learn more about author Rebekah Dumouchelle. At a time when COVID-19 is putting many IT plans and initiatives on hold, others are actually accelerating. Businesses of all sizes in varied fields are adapting to a host of new pressures. They’re adjusting to increased budgetary scrutiny, managing newly distributed workforces and modified workflows, finding new approaches to doing essential in-person work, such as in data centers, and innovating —…

Case Studies

What is...?

What Is Augmented Analytics?

Augmented analytics combines sophisticated machine learning (ML) and natural language processing (NLP) to enable…

What Is Analytics?

Analytics, is described as: “[An] encompassing and multidimensional field that uses mathematics, statistics, predictive…

What Is Descriptive Analytics?

Descriptive analytics, or business intelligence, uses historical information to answer the question “What Happened?” Think of…

Most Recent Articles

Data Container Architecture: Answers and Challenges

Data containers are a recent step in the evolution of the cloud. Their purpose is to run reliably as they are transferred from one computer environment to another. They are isolated, improve security, and are “usually” easy to work with. Containers promote application portability through their novel use of packaging, and the philosophy of “develop once, deploy anywhere.” Containers are still in the early stages of growth, though many issues…

Case Study: Bringing Credibility to Freddie Mac’s Data Stewardship Model

Jenny Schultz has been with Freddie Mac since 1998. “We have tried to do the ‘data thing’ more than a few times, driven by IT, but it never stuck because the business didn't see the value in leveraging their data and managing and governing it,” she said during her DATAVERSITY® Enterprise Data World Conference presentation titled “Freddie Mac Single-Family Business: A Case Study in How to Operationalize a Data Stewardship…

A Brief History of Data Management

Data Management is the organization of data, the steps used to achieve efficiency, and gather intelligence from that data. Data Management, as a concept, began in the 1960s, with ADAPSO (the Association of Data Processing Service Organizations) forwarding Data Management advice, with an emphasis on professional training and quality assurance metrics. Data Management should not be confused with Data Governance, nor with Database Management. Data Governance is a set of…

Advances in Master Data Management

The purpose of a Master Data Management program is to organize an organizations most important data assets, allowing them to be used efficiently and creatively. The choice of organizational styles determines how the data performs during an analysis, when building new relationships, and while making decisions that increase profits. There are key factors that should be taken into account when researching effective Master Data Management (MDM) strategies for 2020 and…

The Importance of Graph Databases in Business Analytics

Augmented analytics is one of the top 10 technologies Gartner identified with the potential to cause significant digital disruption in the next three to five years. The hallmark of augmented analytics is its high reliance on AI and ML technologies. AI and ML together will transform enterprise Data Management in the coming years, and many emerging technologies like the multi-cloud, edge, serverless, IoT, and big data will collaboratively contribute to…

Managing Metadata: An Examination of Successful Approaches

“If Google can deliver results across the entire internet in seconds, why do I have so much trouble finding things in my organization?” asked Jonathan Adams, Research Director at Infogix, at the DATAVERSITY® DGVision Conference. In a presentation titled, “I Never Metadata I did Not Like” Adams outlined successful approaches to understanding and managing metadata What is Metadata? According to the DAMA International Data Management Body of Knowledge (DAMA-DMBoK2), the…

Latest Industry News

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