Month: October 2018

Data Literacy Conferences Review Sep 2018-A Ride with Data Literates

On this ride with Data Literates you will find about the 3 conferences that Data Literates attended and spoke at.
The first conference that Jerry spoke at was The Strategic Analytics Summit (SAS) in Las Vegas, Nevada:
We raised awareness around data literacy among managers and executives at this conference.

The second conference was The Data Literacy Conference 2018 in France:
We unveiled our 5Cs Data Literacy Model and the Data Literacy Canvas as well as our Enterprise Data Literacy (EDLP) Toolkit.
We also made an announcement about The Data Literacy Foundation, which is a non-profit organization that enables social ventures and other nonprofits with data literacy solutions as well as creating standards around data literacy best practices and tools:

The last conference that we attended was Qlik’s Data Revolution Tour. Qlik announced their recent website called The Data Literacy Project:
This website is a great source of white papers and stats on data literacy.

The next stop is Tableau Conference 2018 in New Orleans, LA. #TC18

Tableau Conference

IT Blinders – Why Data Literacy Programs are part of CIO’s agenda?

Why are Data Literacy Programs part of a CIO’s agenda?

Is it enough for the CIO to provide the data to users?

In a lot of the cases, CIOs are tasked with providing the data to users, so that they can make better data-driven decisions to achieve a competitive advantage or optimize operations. But if users are not data literate, just having access to the data is not going to solve any business problems. Data Literacy should be a shared responsibility and must be in Chief Information Officer’s agenda. If CIOs fail to do make users data literate, things may not look great for the CIO because the business cannot make data-driven decisions and everyone will go back to the CIO and her team to understand the problem. We may call this a data analytics myopic view when the IT organization does not keep the end goal in mind which is users being able to make better business decisions. Users need to understand the sources of the data, the validation process, and the definitions of metrics.

The more data literate the users, the better they can make decisions using data.