Turning data into valuable business solutions
A forward-looking consulting firm that will work with you to build an analytics driven organisation to achieve better performance through data.
What can you gain out of data analytics?
Value to your business and complexity of analytics
"Imagine your business unleashing the power of data"
4
prescriptive analytics
3
predictive analytics
2
diagnostic analytics
1
descriptive analytics
descriptive analytics
"What happened?"
diagnostic analytics
"Why did this happen?"
<<
Backward looking
+ Detects and describes patterns
+ Provides insights into the past and guides how to dig deeper
predictive analytics
"What is likely happen?"
prescriptive analytics
"What do we need to do?"
>>
Forward looking
+ 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
1
2
6
Data collection
3
Step 3
Get more data from diverse sources to find better correlations, build better models and find more actionable-insights
Data modelling
5
Data cleaning
4
Step 6
Data value chain is a repeatable process which leads to continuous improvement to the business and the data itself
Step 5
Models will be built to correlate data with business outcomes and make recommendations
Step 4
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
catching up
Where do we start?
maturity level 2
first pilot(s)
How does this work?
Analytics seamlessly integrated into business processes.
maturity level 5
optimise and extend
Continue to learn and enhance
maturity level 4
strategic value
Current business is now dependent on big data
maturity level 3
tactical value
First project(s) show clear ROI
How we work with clients?
1
We recommend where to extract value through analytics.
3
We scan external sources to find relevant available data to complement your data.
2
We extract data from your internal files and systems, and automate data cleaning where possible.
4
We define trends and extract meaningful predictions through model and analytics.
5
We recommend business and process improvements. We can build a dashboard to leverage data visualisation.
6
We continuously monitor and bring insights from data analytics, and fine-tune the predictive models.
Ready for growth?
With the right solutions, you’ll always be a step ahead in your industry.