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ETL vs. Data Preparation

Extract, Transform, and Load (ETL) technologies, managed exclusively by IT, have until recently been the primary tool used to combine data from multiple sources and thus provide the ability to drive important business decision making for organizations. But, with the advent of self-service data preparation, business users and subject matter experts (SMEs) can find those […]

Case Study: Feeding America Takes on Project to Standardize Data and Improve Data Quality

Feeding America is a domestic-hunger relief charity with a nationwide network of close to 200 member food banks that work together to provide food to more than 46 million people through 60,000 food pantries and meal programs. It secures donations from national food and grocery manufacturers, retailers, shippers, packers, growers, government agencies and other organizations. […]

It’s Time to Build a Cohesive Data Strategy

George Yuhasz is helping businesses to innovate in another direction: building a rich Data Strategy by holistically and concurrently bringing together analytics, Data Governance, and Information Architecture. As U.S. Director, Business Intelligence and Data Services, he launched the Data Strategy at the global food services enterprise. It’s been a job of optimizing people and processes, […]

Challenges for Data Governance and Data Quality in a Machine Learning Ecosystem

The high availability of data, enhanced computing power and advanced Data Science technologies together make a lethal combination for data-driven outcomes. With the open data economy just around the corner, well-tuned Data Governance capabilities will be the goal of most businesses. Current Data Management practices are focused on risk free data sharing and regulatory compliance. […]

Fundamentals of AIaaS and AIPaas (AI-as-a-Service and AI Platforms-as-a-Service)

There are many factors that have started making businesses restless and eager to dive into the newest intelligent technologies for their Data Management practices. The business operators have sighed with relief knowing that they no longer have to engage dedicated talents for advanced model development or cloud infrastructure planning. The idea of “managed (hosted) Data […]

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