Informatique
Introduction to Data Visual Analytics
Description
An introduction to Data Visual Anaytics to achieve operations and sales productivity.
Key topics are:
Why Visual Analytics is transforming business
Best Practices
Collaborative problem solving
Deployment considerations
Objectives
Upon successful completion of this course, the participant should be able to:
Articulate why Data Visual Analytics is so much more powerful in business decision making than basic visualisation and dashboards
Have a holistic view of Data Exploration cycle and the different tools required to deliver results
How to forage for data and incorporate different data sources into visual analytics
Why the brain prefers to analyse data visually and how to do this more effectively
How to be more effective in gaining insights from data by viewing it from different perspectives using interactive dashboards
How story telling dramatically increases the likelihood of insights being actioned
Making collaboration a key element of the problem solving process
Tools available on the market and key deployment considerations
Programme
Introduction to Data Visual Analytics and why it is more than visualization
What is visual analytics and why it augments human perception
Data Exploration Cycle
Data Preparation
Why it is important & best practice
Explore and Visualise
Visual Exploration: enable the query, exploration and visualization in a single process
Visualisation methods: What to use and how to increase impact
Visual Perspective-Shifting: Why it is important to be able to view the same data stream through different visulaisation techniques to find the best insights?
Automatic Visualisation: How not to get stuck in tables and old ways of thinking
Develop Insights, Act and undertake Tasks
Visual Expressiveness: why people need to visualize and contrast multiple dimensions (eg time, sales, profit), to solve complex problems. – explore best practices
Visual Perspective Linking: Problem solving is enhanced when images are intimately linked so a selection on one shows related relevant data in the others
Collaborative Visualisation: How tools that enable collaboration in analytics allow best practices and models to be shared or re-used
Deployment Consideration
Key Consideration in deploying data analytics tools
Applying Visual Analytics in your environment – 1st steps
Target audience
All business professionals wanting to increase and improve their use of data in decision making
Certificate
At the end of the training, the participants will receive a certificate of participation delivered by the House of Training.
Course material
The course material will be delivered at the beginning of the course.