“But like an orchestra, a collection of this transformed data, properly orchestrated to provide these varied and powerful insights at the right time and in the right format for the intended audience really gives you that competitive advantage and operational efficiency.”

So how does this translate into data and insights? “One good piece of data is absolutely valuable and can really help you make better business decisions” says Marco. That’s when the goosebumps come in and you hear the power of the sound.” But it’s really when the conductor walks on stage and all of those instruments are played together in harmony, that’s when it really becomes incredible. “It’s very melodic and you really get to hear the class of the instrument and the performer. “When you sit there at the start of a performance invariably you’re hearing these individual members tuning their instruments – warming up. So where did the orchestra analogy come from? “I’d argue anything’s possible quite honestly, limited only by our imagination and one very important point, which is the quality and quantity of the data that’s available to us.” The orchestra analogy “To me the cognitive and analytic strategy really starts with the data strategy” explains Marco, “how we acquire, enrich, store and curate our data. Then it really becomes about what you do to that data to bring business value and actionable insights. On Day 1 of the series, Marco Romano – Procurement Chief Analytics Officer, Global Procurement, Transformation Technology, IBM, talks about the development of data strategy, how to determine if a data source is fit for purpose and understanding the data that you want to see. This week, our podcast series will guide you through the five steps required to conduct a dazzling cognitive symphony. It’s akin to conducting a group of musicians – it might be possible (easy even!) to attain a pleasant sound from a solo instrument…īut, if expertly managed, you could accomplish a symphony from the entire orchestra! There are many factors that require careful consideration to bring about effective cognitive solutions. How do you know when your data is fit for purpose? Start by putting the why before the what! Robyn Mackenzie/

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