In my new series of posts I will outline typical business problems from manufacturing companies that originate in uncertainty and explain how Analytics is an enabler for improved supply chain transparency, improved stability and – at the end of the day – improved profitability. The main objective for manufacturing companies
We kick off 2017 with excitement about big data and analytics still at fever pitch. Thankfully the discussion has now moved to business impact, and explores how good use of analytics is vital to make money, save money, and maintain competitive advantage. Data scientists now they have the sexiest job
Data, it has been said, is the new oil. Indeed, according to Gartner, 90% of organisations apparently believe that data is an asset. But just having lots of data is not enough to ensure success: you also have to know how to use it to generate value. And in this
We sometimes talk about having trouble ‘seeing the wood for the trees’, meaning that you can get so wrapped up in the detail of what is around you (the trees) that is hard to see that they make a wood. The same goes for data. It is easy to get
The holiday season is upon us again, full of exciting events and related expenses. When important events happen, seasonal or in life in general, many of us tend to spend more money than at other times. From births to weddings and funerals, so many things happen in our lives that
Solvency II went live almost a year ago. It should therefore have become part of the furniture by now, but it is clear from recent conversations that the journey is by no means over yet. What’s more, there are other challenges facing the insurance industry that will need to be
Welcome back to the market driven journey in supply chain management! The three earlier articles of this short series contained: The typical road to market driven forecasting – where companies go through three different levels of maturity before moving to being market driven Market driven forecasting – and the changes
Intuitively being demand driven indicates having a pull-based manufacturing system customer orders trigger sourcing and production activities. However – it is rarely the case, that this is possible – due to the long lead time this would cause. This article will point out the requirements to a market driven supply
Disruptive innovation—the big changes in an industry or sector that occur when someone or something turns the whole business model on its head—have huge implications. Big data is likely to be one of those disruptors. So are your big data skills disruption-ready? These following aspects will guide you to verify
Machine learning has been around for a while, with the earliest techniques developed in the 1950s. It is currently enjoying a particularly high profile, thanks to a whole range of possible applications from self-driving cars through to Go-playing computers. But what exactly is it? I’ve just finished diving into Josefin
