Business Intelligence

Imagine a data analysis solution so intuitive that anyone in your company can easily create custom reports and dynamic dashboards to gain significant insights, even from vast amounts of data. That's Qlik Sense - a revolutionary application allowing self-service data visualisation and data discovery for individuals, teams and companies. With Qlik Sense, you can quickly create visualisations, analyse data down to smallest details, directly identify links and explore correlations from every angle.

DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods.

I's a machine learning platform for automating, assuring, and accelerating predictive analytics, helping data scientists and analysts build and deploy accurate predictive models in a fraction of the time required by other solutions.

The Four Levels of Analytics

Data Analytics is no longer nice to have. Here is a great article from Jordon Morrow about the 4 Levels of Analytics

Descriptive Analytics: Deals with the question "What happened?", based on the historical data. This can be achieved with Qlik Sense or QlikView.

Diagnostic Analytics: Deals with the question "Why did it happen?". Qlik Sense and QlikView provides this ability to manually drill-down and look at data from different aspects. DataRobot provides also insights to this, by explaining the reasons for the predictions made.

Predictive Analytics: Based on the historical data, a model can be build to predict the future. DataRobot provides a great way to automatically build models and perform machine learning capabilities with no requiring coding.

Prescriptive Analytics: As we predicted the future, prescriptive analytics deals with the question about "How can we make it happen?". Here, we talk about a level of autonomous driving, etc

Data Literacy

Data literacy is the ability to read, work with, analyze and communicate with data. It’s a skill that empowers all levels of workers to ask the right questions of data and machines, build knowledge, make decisions, and communicate meaning to others.

Further information and learning available under:

Data Literacy Project

The website consists of:

  • Assessment: Online assessment and certification

  • Learn: E-Learning and educational resources

  • Community: The epicenter of the data literacy conversation