Tim joined SAS UK & Ireland in the middle of 2015 as an Industry Solution Specialist for the commercial team covering retail and manufacturing. Having worked with the solution software business since 2002 he brings with him wealth of experience. Prior to joining the company, Tim worked at IBM as an Industry Solution Specialist focused on the B2B and manufacturing markets for eCommerce, order management and supply chain optimisation. Over the years Tim has worked in many different markets for previous employers like Micros Systems and Torex but started his professional career at Rolls Royce aerospace (civil) as a Mechanical Design Engineer. This really was ‘rocket science’.
As you will have read in my last blog, businesses are demanding better outcomes, and through IoT initiatives big data is only getting bigger. This presents a clear opportunity for organisations to start thinking seriously about how to leverage analytics with their other investments. Demands on supply chains have also
There will be more than 55 billion IoT devices by 2025 – more than four devices for every person on earth. That means that big data is only getting bigger. All of that high frequency, high velocity data from connecting the physical world to the digital world is available, and
Let’s lay down some fundamentals. In business you want to achieve the highest revenues with the best margins and the lowest costs. More specifically, in manufacturing, you want your products to be the highest quality (relative to specification) when you make the item. And you want it shipped to the
‘Quality‘ means many things to many people. It’s subjective and depends on the industry and product being made, but the fundamental objective is to provide the best product to the right standard associated to fit, form and function. And cost and required profit margin must also be taken into account.
For many years the humble spreadsheet has held many different roles and responsibilities supporting finance, marketing, sales -- pretty much every department in your business. There's always someone with a “magic spreadsheet,” but how effective is this culture that always uses the same format to consume data? My view of
Quality in every thought, every action, every outcome You might think differentiating on the quality of your products is a no-brainer – who wouldn’t seek to make every product incredibly high quality? Yet experience shows us that many manufacturers only capture data from the production line. While this approach creates
Manufacturers are used to operating in challenging circumstances – whether financial, economic, political or competitive. And it's a good thing since the coming years seem likely to be as uncertain as those following the global economic crash. But manufacturing will have an excellent opportunity to thrive because, like many sectors,
