This audio blog discusses the Data Lakehouse, a marketing concept that evokes clean PowerPoint imagery, and why and how the New Cloud Data Lake will play a very real role in modern enterprise environments. Originally published at: https://www.eckerson.com/articles/data-lakehouses-hold-water-thanks-to-the-cloud-data-lake

This audio blog discusses cloud adoption and how data teams will migrate an increasing portion of their on-premises operational and analytics workloads to the cloud. They can best meet budget and project requirements by using data streaming technologies such as change data capture (CDC), which replicates real-time updates between data source and target. Originally published at: https://www.eckerson.com/articles/the-next-wave-of-cloud-migrations-needs-data-streaming

This audio blog is about how the CHOP’s data and analytics (DnA) team uses near real-time data and information to decide how to marshal its resources to contain the pandemic. The culmination of all of this work has been an enterprise COVID-19 dashboard that is distributed to enterprise leadership daily. Originally published at: https://www.eckerson.com/articles/chop-harnesses-the-power-of-data-analytics-to-address-the-covid-19-pandemic

This audio blog is about the emerging concept of the data mesh and how enterprises are working tirelessly to centralize diverse, ever-multiplying datasets by transforming mountains of data they don’t understand, into information that analysts do understand. Originally published at: https://www.eckerson.com/articles/the-data-mesh-re-thinking-data-integration

As of this writing, billions of consumers live in quarantine. They buy what they need online, comforting themselves with food, TV, and toilet paper. Nobody is splurging at the mall. To say the least, it is an interesting time to analyze discretionary consumer behavior. As Director of the Voice of Consumer Analytics at Adidas, Tiankai helps measure and manage the perception of a consumer brand that is mentioned on social media an average of 260,000 times per day. An amateur musician, Tiankai went viral himself lately with his series of “Quarantunes,” songs such as “Self Quarantine” and “Parent in Quarantine,” that poke fun at our homebound predicament. Tiankai recently spoke with Eckerson Group about the art and science of consumer analytics, the COVID-19 conundrum, and (of course) the role of creativity in modern data analysis.

This audio blog focuses on data storytelling and how it uses numbers, narrative, and visuals to communicate insights that would otherwise be hard to absorb. Originally published at: https://www.eckerson.com/articles/data-storytelling-part-i-telling-it-like-it-is-and-was-and-will-be

This audio blog focuses on increase usage of NLP to navigate different formats, languages, terminologies, and biases and how this technology will help analyze the fast-growing body of research on COVID-19. Originally published at: https://www.eckerson.com/articles/how-covid-19-will-drive-adoption-of-natural-language-processing

Chief data officers (CDOs) first appeared in enterprise organizations after the Sarbanes Oxley Act became law in the United States in 2002 to improve corporate governance controls. CDOs started with a trickle, but have since become a flood, now populating more than two-thirds of large enterprises, according to a recent survey by NewVantage Partners. To explore this dynamic role in detail, we invited Joe Dossantos, newly minted CDO for the data and analytics software vendor Qlik. Joe is responsible for data governance, internal data delivery, and self-service enablement. He also evangelizes data and analytics best practices to Qlik customers. Prior to joining Qlik, Joe led TD Bank’s data strategy, and built and ran the Big Data Consulting Practice for EMC Corporation's Professional Services Organization.

A chief data officer not only defines a data strategy to meet current needs but also evolves the strategy to ensure that the organization derives value far into the future. Originally published at https://www.eckerson.com/articles/seven-core-responsibilities-of-a-chief-data-officer-cdo

Learn how to succeed with self-service analytics by knowing your customers. Explore user categories, challenges and solutions for data explorers, and the importance of understanding data architecture and user classification for effective analytics programs.