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Upcoming Webinars

Jul 14 DataEd Webinar: Data Management vs. Data Strategy

DATE: July 14, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees About the Webinar Organizations across most industries make some attempt to utilize Data Management and data strategies. While most organizations have both concepts implemented, they must understand their required interoperability to fully achieve…

Jul 16 RWDG Webinar: Building a Data Governance Roadmap

DATE: July 16, 2020 TIME: 2 PM Eastern / 11 AM Pacific PRICE: Free to all attendees This webinar is sponsored by: About the Webinar A Data Governance roadmap is typically based on the results of a best practice assessment. The assessment defines the outcomes required to achieve Data Governance…

Latest Blogs by Industry Experts

Digital Transformation in Marketing and the Crucial Role of DevOps

Click here to learn more about Gilad David Maayan. In marketing, digital transformation means leveraging your digital channels to gain deeper insights for the purpose of improving the customer journey. DevOps plays an essential role in digital transformation, from integrating data into marketing tools to uncovering new revenue streams. This article explains how marketing and DevOps teams can work together to effectively improve business goals. What is Digital Transformation? The…

AI Strategy: Using the 715 Framework to Build High Value Big Data

Click to learn more about author Asha Saxena. As I predicted that the virtual chief AI officer will be a trend in my last article. AI has become critical as we enter Industry 4.0.  More than ever businesses need to pivot with the most massive shift towards the digital economy that has accelerated by the force of COVID-19 pandemic. The move from brick and mortar to online digital transformation trend has…

Leading the Way in Data Analysis for Business Intelligence

Click to learn more about author Samuel Bocetta. Companies are implementing business strategies with some key objectives in mind: cost reduction, improvements in efficiency, and enhanced profitability. Business intelligence can add huge value in these areas, which is why professionals in business intelligence and data analysis are in great demand. In a 2017 IBM report, the demand for data scientists in the United States was expected to increase to 28…

Case Studies

What is...?

What is Data Storage?

Data storage describes what type of, where, and how hardware or software holds, deletes,…

What is BASE?

BASE describes database processing germane to a NoSQL database, such as a data lake.…

What is ACID?

ACID properties characterize RDBMS (Relational Database Management System) database processing or a data warehouse.…

Most Recent Articles

Aligning Data Architecture and Data Strategy

Peter Aiken disagrees with the popular idea that it’s impossible to put a dollar value on Data Architecture. “It won't be the right number, but it will be at least a dollar value on it, and if there’s money involved, people should be paying attention to it.”Aiken is an author, an associate professor of Information Systems, a researcher, and the Founding Director of Data Blueprint. He spoke about Data Architecture…

A Brief History of Data Lakes

Data Lakes are consolidated, centralized storage areas for raw, unstructured, semi-structured, and structured data, taken from multiple sources and lacking a predefined schema. Data Lakes have been created to save data that “may have value.” The value of data and the insights that can be gained from it are unknowns and can vary with the questions being asked and the research being done. It should be noted that without a…

Working with Complex Data Models

Complex data models have now become the norm. A single stream of the data can travel through many hubs, and many different technologies. It may travel through the front end, the APIs, the Kafka pub/sub systems, Lambda functions, ETLs, data lakes, data warehouses, and more. Riding within this stream of data is the schema, and each schema also has its own technology-specific terminology and syntax, as well as its own…

So You Want to be a Data Manager?

A Data Manager develops and governs data-oriented systems designed to meet the needs of an organization or research team. Data Management includes accessing, validating, and storing data that is needed for research and day-to-day business operations. Currently, a wide array of organizations are using Big Data to gain insights into customer behavior and to provide Business Intelligence, making a Data Manager a necessity. Data Managers are needed in a variety…

Analytics Best Practices for Transforming Data into a Business Asset

Data has three main functions that provide value to the business: To help in business operations, to help the company stay in compliance and mitigate risk, and to make informed decisions using analytics. “Data can have an impact on your top line as well as your bottom line,” said Dr. Prashanth Southekal, CEO of DBP-Institute in a recent interview with DATAVERSITY®.  “Just capturing, storing, and processing data will not transform…

Building a Productive Organization with Artificial Intelligence

There’s plenty of research on employee productivity, which is key to building a profitable and successful business. Engaged employees are likely to put their heart into their jobs – not just go through the motions. Here are some findings that put this into perspective: Happy workers are 13 percent more productive, according to research by Oxford University.  Highly engaged employees are much more likely to have above-average productivity (38 percent),…

Latest Industry News

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