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Upcoming Webinars

Mar 2 Webinar: How Automating Data Lineage Improves BI Performance

DATE: March 2, 2021 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar BI landscapes are becoming increasingly complex with the surge in adoption of cloud technologies. Your BI group may have one foot in legacy systems and…

Mar 9 DataEd Webinar: Growing Practical Data Governance Programs

DATE: March 9, 2021 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar At its core, Data Governance (DG) is managing data with guidance. This immediately provokes the question: Would you tolerate any of your assets to be…

Mar 11 ADV Webinar: Comparing the Enterprise Analytic Solutions

DATE: March 11, 2021 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar Data is the foundation of any meaningful corporate initiative. Fully master the necessary data, and you’re more than halfway to success. That’s why leverageable (i.e.,…

Latest Blogs by Industry Experts

Becoming a Prized Data Warehouse and Data Integration Tester

Click to learn more about author Wayne Yaddow. Data warehouse (DW) testers with data integration QA skills are in demand. Data warehouse disciplines and architectures are well established and often discussed in the press, books, and conferences. They have become a standard necessity for most modern organizations. Each business often uses one or more data warehouse systems to make company decisions every day. In a word, the data warehouse is…

IT Spending: The Value-Driven Approach

Click to learn more about author Sachin Reja. Advances in information technology (IT) are forcing businesses in all industries to evaluate their IT spend. The impetus here is to reduce staffing costs and other expenditures while investing more in digital tools and programing. With the landscape of IT evolving and with more platforms being utilized daily, software is no longer considered “ancillary” to performing everyday tasks. Rather, it is a…

An Introduction to Integrated Deployment

Click to learn more about author Paolo Tamagnini. Welcome our integrated deployment blog series, where we focus on solving the challenges around productionizing Data Science. Topics will include: Resolving the challenges of deploying modelsBuilding guided analytics applications that create not only a model but a complete model process, using our component approach to AutoML to collaborate on projectsSetting up an infrastructure to not only monitor but automatically update production workflows…

What Are Simple Random Sampling and Stratified Random Sampling Analytical Techniques?

Click to learn more about author Kartik Patel. This article discusses the analytical technique known as sampling and provides a brief explanation of two types of sampling analysis and how each of these methods is applied. What Is Sampling Analysis? Sampling is the technique of selecting a representative part of a population for the purpose of determining the characteristics of the whole population. There are two types of sampling analysis: simple…

Recent Articles

Blockchain Use Cases

Blockchain, which is akin to a distributed and decentralized accounts ledger, can record and verify high volumes of digital transactions, irrespective of location. So, blockchain has the capacity to contribute…

Data Management, Artificial Intelligence, and Ethics

Combining ethics with Data Management and artificial intelligence can build an organization people will trust. Ethical behavior promotes the smooth functioning of human interactions, which includes business, and supports the…

Fundamentals of Hyperautomation

Hyperautomation describes a mixture of advanced technologies – robotics, artificial intelligence, machine learning – currently being used to make automated processes drastically more efficient and to augment humans. It encompasses…

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…

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