Hello Qlik Community! Qlik's Bruno Calver is back sharing his in-the-field experiences, building upon his User Experience white paper made available last year. This time he has authored a white paper on Data Literacy. Bruno has worked with many large global enterprises, helping them discover the value in their data and how to best represent it in order to drive results. During this time he has come across many different ways of working with data. This article tries to consolidate the key take-aways within the context of data literacy. Be sure to download the attached PDF at the bottom of this post to learn more.
Literacy skills have always been top of the bill in the education system -- and for good reason. Equally, data literacy skills are climbing the agenda in today’s competitive business environment.
Organizations will soon rely less and less on pre-processed information and their gut instincts as a decision making paradigm. It is increasingly important for everyone to apply critical thinking skills to every problem and data set in order to achieve a competitive advantage and create truly innovative solutions.
However, for many of us it is not clear what data literacy means, let alone the skills and techniques that might help drive our own data literacy level. The attached article explores these concepts and provides 5 key areas to think about when analyzing your data - including practical examples:
Trends & Context
Internal & External Data
Cohorts & Cell based analysis
Averages, Aggregation & Distribution
Bias & Non-Causal Correlations
Increasing data literacy skills can have a profound impact on organizations in the following ways:
Increasing user adoption and awareness of analytical tools and capabilities
Creating data driven cultures to enhance performance
Unlocking more value from your data investment
If this sounds interesting, then please read the article and see what new things you can discover about the language of data…!
Bruno is a Principal Solution Architect working in the UK with some of Qlik’s enterprise customers. His passion is working with business people to turn disparate and otherwise mundane data sets into insights and stories that can engage their audience, drive change and inspire new ways of thinking.