This Week in Data Preparation (May 1, 2020)
In this week’s news: 7 opinion articles — on data cataloguing, data lake modernization, data-driven practices in healthcare, data integration, and more — and 2 company announcements — by NatWest and SAS, respectively.
Harry Glorikian, author of the MoneyBall Medicine, offers insight on how data-driven practices can be employed to improve and transform the healthcare system today, in this article for Forbes. Glorikian believes that data and analytics will become increasingly central to the future of healthcare management, predicting that future pandemics will play out with better models that have been built on the data and lessons of COVID-19.
Jeff White, founder and CEO of Gravy Analytics, discusses how to improve customer insights and targeting through data integration, in this article for the Street Fight magazine.
This article is about data analyst interview questions. “Datasets provided in college and most educational programs are clean and easy to use,” said Joshua Jones, CEO of StrategyWise, a data science consulting firm. “In the real world, data is almost never ready to use, and oftentimes not even usable at all. A lot of effort goes into the unglamorous process of cleaning data and preparing it for use.”
Customer Data and Analytics Platforms: Build or Buy? Naras Eechambadi, founder and CEO of Quaero, a world-class data management and analytics platform, offers a detailed analysis, in this article for Datanami.
Ronen Schwartz, VP & GM, Data Integration, Data Engineering, and Cloud at Informatica, talks about how data cataloguing opens the doors to greater data value, in this article for Technative. He explains that without consistent, comprehensive, and accurate data, digital transformation efforts may fall short of objectives in a wide range of areas.
Farah Kim, Product Marketing Manager at Data Ladder, argues that poor data quality is the leading cause of digital transformation failure, in this article for ITProPortal. “Data that is not prepared; meaning not cleansed or optimised cannot be used for business intelligence. If a business is hoping to derive competitive opportunities or key audience insights, they cannot do so with incomplete, inaccurate, obsolete, duplicated data.”, she comments.
Ali LeClerc, Director of product marketing at Alluxio, and Ritu Jain, Director of product marketing at Qlik, discuss what to look for when modernizing the data lake, in this article for the Database Trends and Applications magazine.
NatWest Markets announced that it chooses Dataiku’s Data Science and Machine Learning Platform to Democratise AI. Florian Douetteau, Dataiku CEO said: “This is a unique opportunity for Dataiku to become an Enterprise AI partner with strong end-to-end analytics expertise in data prep, data science and AutoML, aligned with NatWest Markets’ successful digital strategy.
SAS announced the launch of a COVID-19 Resource Hub to provide data, analytic capabilities and learning resources.
Thank you for taking the time to read our weekly post with news items from the data preparation market.
