There are valuable insights and foresights hidden deep within the data held by consumer goods companies. The current eco-system is reliant upon one-off studies or teams of analysts to answer consumer or business related questions. Business have amassed immense quantities of data but still struggle to have a single view of the information in order to drive market outcomes in real time.
Currently answering critical business questions related to brand and market performance requires analytical skills across several different platforms and data sets, as well as vast amounts of person-hours to extract, analyse then deliver insight. How can we speed up the analysis of this data, or even make it real time to provide a quick and cost effective alternative to insight and foresight generation.
So, put quite simply, the opportunity is:
“How can we ask questions and get deep domain insight and foresight from all the data in real time?”
COMPREHENSIVE BUSINESS INSIGHTS IN REAL TIME, SO DECISIONS CAN BE MADE TO HELP YOUR BUSINESS GROW AND BE MORE AGILE.
How can we leverage ML models for day to day use? How can we make them accessible through questions in natural language? How can we answer the ‘why’ and ‘what’ questions in layman terms and help people to make better decisions with this information?
What will drive [brand name] growth for the next 6 months?
Why is [brand name] growing or in decline?
Why are people buying [brand name] versus competitor X?
What will the market share of [brand name] be in 6 months and why?
How can we enable the consumer goods eco-system to go beyond the insight and the foresight and help their brands to act on the insights instantly?
In OKRA’s words:
“How can we help to simply ask questions and get evidence based answers, predictions and answers to why things are happening in real time?”