What can you gain out of data analytics?
Value to your business and complexity of analytics
"Imagine your business unleashing the power of data"
"Why did this happen?"
+ Detects and describes patterns
+ Provides insights into the past and guides how to dig deeper
"What is likely happen?"
"What do we need to do?"
+ Provides optimisation and decision rules (for future events based on probabilities)
+ Recommends one or more actions from prediction models
What are the steps to data analytics?
Step 1 & 2
Identify goals early to provide project with direction
Decide on objectives
Identify business levers
Optimise and repeat
Get more data from diverse sources to find better correlations, build better models and find more actionable-insights
Data value chain is a repeatable process which leads to continuous improvement to the business and the data itself
Models will be built to correlate data with business outcomes and make recommendations
Clean data to prevent distortion of analysis. Clean data provides better outcomes.
Which data maturity level are you at right now?
Data analytics journey
No data, no decision.
maturity level 0
in the dark
We are OK, thanks
maturity level 1
Where do we start?
maturity level 2
How does this work?
Analytics seamlessly integrated into business processes.
maturity level 5
optimise and extend
Continue to learn and enhance
maturity level 4
Current business is now dependent on big data
maturity level 3
First project(s) show clear ROI
How we work with clients?
We recommend where to extract value through analytics.
We scan external sources to find relevant available data to complement your data.
We extract data from your internal files and systems, and automate data cleaning where possible.
We define trends and extract meaningful predictions through model and analytics.
We recommend business and process improvements. We can build a dashboard to leverage data visualisation.
We continuously monitor and bring insights from data analytics, and fine-tune the predictive models.