Organisations are taking traditional business processes such as strategy, sales, marketing, pricing, and HR, and using digital technologies to make them better and give them competitive advantage.
With Data Science, businesses no longer have to make their important decisions based on best-guesses or hunches.
Instead, they’re analysing large amounts of real data to base their decisions on real, data-driven facts.
That’s really what Data Science is all about — creating value through data.
It can be a central capability of its own – such as people with specific skills for analysis and statistical modelling – that feeds and interacts with the business owners that use its analysis, interpretations and outputs to design better experiences.
Or, it can be more distributed with certain aspects being centralised, such as data lakes or single customer directory.
Today’s technology, database tools, collection, processing and analysis platforms are very powerful, and if approached the right way, can ready an organisation to be truly data-driven with relative ease.
Only then can the business take itself to the next level of eXperience Management (XM) and benefit from being truly data-driven.
These, alongside the fast–maturing eXperience Management (XM) category, are pushing boundaries of how companies deal with data and turn it into actionable insights.
We have worked on projects that go way beyond the concept of the report, and into the realms where data is not just the means of deriving insight but is becoming the main driver of business decisions and operational workflow in its own right.
We also see data–driven processes redefining how functions work and how people and procedure are scheduled and utilised.
The customers and people of any business are its most valuable asset.
Practically everything people do and experience is manifested in and by data.
Using data science businesses can describe, design and deliver better connections between the data, the company, its customers and people. It pulls together the other solutions of our portfolio, joining up the business model and how it works, the people involved, and the technology to optimise and streamline it.