We help businesses grow and improve, using insights gained from your current data analytics.
How? By blending technology, commercial awareness, mathematical and data science techniques so you can see the bigger picture, of your business, from the palm of your hand.
We provide integrated solutions across a broad range of business processes, not just the financials! We analyse your business processes, provide insight to add value, increase efficiency and accuracy. Then, we link these processes together to ensure your departments are ‘working’ together.
Our Consultancy with you
We focus on helping our clients improve their business performance, this begins with an understanding of what drives this performance.
We then ensure that the data, the systems and the people are able to focus on what matters and what makes a difference.
Our powerful blend of technology know how, commercial finance and analytics allows us to help you implement best practice, and deliver strong returns.
We prefer to enable our customers to steer their own ship. We like to involve our customers in the build stages of projects, and carry out a phased transfer of knowledge.
We can also provide specific, further training packages on either the projects or the tools sets allowing further development to be carried out by the client.
On Premises or On Cloud
Unlike other systems which can either be run from on premises with a cut down version for cloud, our systems can be run successfully from either, giving you the flexibility and future proofing you need.
We offer a range of support options from product / application support to technical upgrade support, with a team of experienced certified technicians.
• DeeperThanBlue are a leading IBM Premier partner
• Tailored solutions to your requirements
• Transparent, with reduced time, complexity and risk
• Agile Project continuous delivery methodology
• Blended daily rates allowing us to be commercially competitive against large SI’s and Software Vendors Services practices
• On-going Application After-care, AMS Managed Services and Support for the lifetime of the solutions
FTSE 250 Clothing Retailer (£3.5Bn Turnover, 1000 stores, Large E-commerce presence)
Implemented IBM Planning Analytics for the controlling and dissemination of the Buying Budgets
The Business Problem
The business had struggled to keep the amount of product ordered at an appropriate level of stock, individual buyers all planned independently across individual time frames each trying to maximise their own areas of the business, this led to an over-buying situation, it was difficult to process the data to understand which areas had been overbought, and how to correct the problem once it gradually became known. The business had tried many alternatives to solve the problem, processes were in place, but they were too laborious to calculate using the in house developed legacy systems, and not accurate enough. The Stock volume simply did not fit into the stores and warehouses causing increased discounting.
Using the scalability and power and IBM Planning Analytics, and harvesting historic trading patterns across a number of years, the team was able to begin to reliably predict demand across a vast range of product classes, for different price points, even for different genders and age ranges of customers, and adjust for seasonal anomalies. This provided some interesting actionable insights as a by-product e.g. Childrens Premium Branded Clothing having a more pronounced uplift at Christmas, obvious when you know it right? Customers choose higher priced products for Christmas presents, prior to that the business classed these products as over performing and ordered even more.
The powerful, connected plans, variance analysis and web based reporting allowed the impacts of overbuying to be identified easily and suitable corrective action taken.
Improved predictions and more reliable monitoring quickly gained trust and the solution was rolled out to the wider business
There was a massive reduction in stock holding by £100m, freeing up working capital and easing operational capacity problems.