IT center, on-premise infrastructure is becoming increasingly complex and costly, and requires highly skilled manpower, so businesses are now moving their IT and Data Science functions to the cloud. Cloud computing promises low-cost storage facilities, 100 percent up-time, managed services, and automated analytics and BI services, leaving the businesses to concentrate on their domain expertise […]
Data Cleansing: Why It’s Important
Click to learn more about author Avee Mittal. Data cleansing is an important step to prepare data for analysis. It is a process of preparing data to meet the quality criteria such as validity, uniformity, accuracy, consistency, and completeness. Data cleansing removes unwanted, duplicate, and incorrect data from datasets, thus helping the analyst to develop […]
Moving Unstructured Data Is Risky and Pricey, but Critical: Five Steps to Improve It
Click to learn more about author Daniel Esposito. It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […]
Tales of A Common Vocabulary, Data Quality, and Machine Learning, Oh My!
Order in the court! Order in the court! The case being heard is a serious one. The defendant—the Chief Data Architect of VeraVisionFake Inc.—is accused of having ignored the need to establish a valid and sound common data vocabulary in her organization. She is up against The Common Vocabulary Value regulatory agency, whose mission is […]
The Three Pillars of Trusted AI
Click to learn more about author Jett Oristaglio. As AI becomes ubiquitous across dozens of industries, the initial hype of new technology is beginning to be replaced by the challenge of building trustworthy AI systems. We’ve all heard the headlines: Amazon’s AI hiring scandal, IBM Watson’s $62 million failure in oncology, the now-infamous COMPAS recidivism […]
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 […]
RWDG Slides: Building Data Governance Through Data Stewardship
RWDG Slides: Building Data Governance Through Data Stewardship from DATAVERSITY To view just the On Demand recording of this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data stewards play an important role in Data Governance solutions. That is why it is critical that organizations get data stewardship right when setting up their […]
RWDG Webinar: Building Data Governance Through Data Stewardship
To view just the slides from this presentation, click HERE>> This webinar is sponsored by: About the Webinar Data stewards play an important role in Data Governance solutions. That is why it is critical that organizations get data stewardship right when setting up their program. The data is governed by people. Some people will even tell […]
Messy Data Shouldn’t Stop Machine Learning in Its Tracks
Click to learn more about author Jon Reilly. Businesses are creating data at an incredible pace that will only accelerate. In fact, data storage company Seagate predicts it will pass a yearly rate of “163 zettabytes (ZB) by 2025. That’s ten times the amount of data produced in 2017.” Moore’s Law – the principle that […]
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. […]