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Showing posts from April, 2015

Disrupting the Sales Cycle

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There is a lot of talk of disruption today, taking old business concepts and shaking up the status quo , by changing the model and re-inventing it. If you are not familiar with the whole disruption movement you check out The Forbes Top 5 technology disruptions from CES .   But there is a school of thought that is showing that disruption is not always the the best way forward, and the current process isn't in need of disruption. Perhaps all we need is just the judicious application of some existing technology and some good old fashioned elbow grease. Here are some reasons I don't think the Business to Business Sales cycle is in need a of disruption. The message is simple, B2B sales is, was and should be about bringing value to your client. I don’t believe that most buyers have a linear process . Just like your sales process isn’t linear, and just like you might go over the same ground a few times, your buyer’s process isn’t a straight line from point A to point B, even if we som...

Does your company have a data scientist?

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Wanted: Data scientists to work on logistics projects Does your logistics department have a "data scientist" on staff? Probably not. But if you're planning to conduct a big data analysis to obtain insights into your distribution operations, you'd better be prepared to hire one ... Or make sure you have the right technology partner who can do the job for you.   "Data science skills are necessary because the supply chain team is sitting on a lot of unused but valuable data," says Michael Watson, an adjunct professor at Northwestern University and co-author of the book  Supply Chain Network Design: Applying Optimization and Analytics to the Global Supply Chain. A data scientist is someone trained in the methods and techniques for extracting meaning from piles of information. Generally, he or she has a background in mathematics, statistics, and computer science. Although computers and software are powerful tools for facilitating analysis, a human expert is still...