Secrets of Data Analytics Leaders

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

Data leaders who launch self-service analytics programs without knowing their business users risk unleashing chaos. Data leaders need to canvas the organization and understand who produces what information for whom and where.

Originally published at https://www.eckerson.com/articles/succeeding-with-self-service-analytics-know-thy-customer

Master Data Management is no shiny object. But like many traditional IT practices, MDM is being severely tested – and rendered all the more strategic – by digitalization and rising data volumes.

Originally published at https://www.eckerson.com/articles/five-master-data-management-best-practices-for-enterprises

The rise of machine learning has placed a premium on finding new sources of data to fuel predictive models. But acquiring external data is often expensive and many data sets are rife with errors and difficult to combine with internal data. But that’s going to change in 2020.

To help us understand the scale, scope, and dimensions of emerging data marketplaces is Justin Langseth, one of the visionaries in our space. Justin is a VP at Snowflake responsible for the Snowflake Data Exchange.  Prior to Snowflake, Justin was the technical founder and CEO/CTO of 5 data technology startups: Claraview (sold to Teradata), Zoomdata (sold to Logi Analytics), Clarabridge, Strategy.com, and Augaroo. He has 25 years of experience in business intelligence, natural language processing, big data, and AI.

Data quality and leadership trust levels may not seem connected, but they’re inextricably linked. Here’s why ...

Originally published at https://www.eckerson.com/articles/using-data-quality-to-build-trust-in-the-business-leaders

Data is critical for learning about the needs of the market, product bugs and issues, competitive solutions, and many other things. As such, analytics plays an important role in the innovation process.

Originally published at https://www.eckerson.com/articles/how-can-analytics-support-business-innovation

All organizations need to go down a similar path of data maturity. While you can skip steps in technology, you can’t skip steps in business data maturity.

Originally published at https://www.eckerson.com/articles/evolutionary-not-revolutionary-invest-less-in-new-tech-and-more-in-your-data-values