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The Deep Flaw in MBB Strategic Planning

CaseInterview.com

As you might know, Motorola eventually dominated the pre-smartphone mobile phone market with close to $10 billion in annual sales. In my consulting practice today, I exclusively serve small businesses — some as small as $500,000 a year in sales up to $15 million typically (sometimes up to $300 million). They’d say, "I don’t know."

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Salespeople Need a Strategy for Selling to CEOs

Harvard Business

A change in sales or other customer-acquisition processes, for example, will affect multiple aspects of their business models: the types of orders their firms get, capacity planning, operations, delivery, post-sales requirements, and daily interactions among these groups. Who among your current sales team has this ability?

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Where Predictive Analytics Is Having the Biggest Impact

Harvard Business

However, looking at the surveys and consulting reports, it is unclear what the precise use cases are that will drive this positive ROI from big data. Our goal in this article is to offer specific, real-world case studies to show how big data has provided value for companies that have worked with Microsoft’s analytics teams.

Data 38
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You Need to Manage Digital Projects for Outcomes, Not Outputs

Harvard Business

And because of years of sales history, you can be reasonably certain that you will be successful: You will sell roughly the number of cars you expected to. This is the impulse that leads to detailed requirements and specification documents, but, as we’ve come to understand, this tactic rarely works in software.

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A Transformation Is Underway at U.S. Veterans Affairs. We Got an Inside Look.

Harvard Business

billion, its budget in 2015 was slightly higher than the total gross sales of General Motors. A Harvard Business School case study that Robert Huckman, Sam Travers, and I wrote earlier this year documents what came next. The stakes, in other words, were high.

Culture 28
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Is “Murder by Machine Learning” the New “Death by PowerPoint”?

Harvard Business

For businesses, the predicted results could therefore be complete nonsense, leading to negative outcomes such as bad hires, poor designs, or missed sales forecasts. The document typically describes use cases and scenarios to illustrate its points. Overfitting, like spreadsheet errors, can of course be caught and corrected.