There is money to be made out of data by giving you a deep insight into the value that's hidden there, and the ways in which it can be used to cut costs, increase revenue and move ahead of the competition. You can get all this from us at Starfish deep insight.You supply your (anonymised) data; we combine those data ingredients with our skill, experience and tools to unlock the value. But, just like you get different cakes with different ingredients, your results are going to be a recipe for success that's unique to you. Here are some examples of what some of the people we've worked with have been able to achieve:Use data to create new revenue streams For example, a traditional commercial laundry business started to tag sheets and towels with embedded RFID chips. ● They reused previously squandered data to sell back to customers to improve their internal operations (e.g. ‘Only 75 duvets per 100 sheets; your housekeeping is cutting corners to speed room change times!'). This brand new revenue stream was worth £100k pa to the first customer and had a gross profit exceeding 70%● In addition, they now had full end-to-end stock traceability, including on and off customer sites, with reduced stock loss and no more manual stock counting costs.● Better supplier quality management as fabric performance could be compared through the wash cycles, resulting in stronger negotiating for new supplier contracts.Identify more of your best customers A customer supplied redacted B2C sales history data (i.e. Just Postcode, Item sold, at Price, in Quantity by Date). We then merged by Postcode with up to an additional 26k fields of information from our proprietary database. (Additionally, we data mined >3.5m of 5.6m UK businesses.)● This resulted in the identification of multiple distinct customer segmentation ‘clusters' or profiles.● With them we were able to take these profiles to identify profitable trends and price points to maximise margin.● They could also use these profiles to identify other potential customers for our client's products, the recipients of targeted marketing campaigns.Reduce the costs of business operations ● By data mining the (heavily redacted and anonymised) human resources data for a major UK bank we found we could predict the average length of job tenure for an employee, even from interview stage. We could also identify performance inconsistencies across regional panels and departments and managers.● An innovative insurer asked us to identify the ownership of motorcycles so that they could reduce the cost of wasted marketing and increase the ROI for sale conversions.● Fleet driver history data showed that swapping existing drivers in the fleet to different routes would save >£0.5M pa in reduced accident/insurance cost.● The data showed that a top-ten law firm could increase the win-rate of cases by 80% by making one simple change. Sadly, they chose not to implement this, on the basis that they got paid whether they won the case or lost!

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