How to build an effective analytics practice
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From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
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From designing intelligent decision processes to tapping the full power of deep learning, here are data practices to adopt now from MIT Sloan analytics faculty.
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A framework based on data, models, decisions, and value can help you leverage analytics for better business outcomes.
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Productivity gains from clustered innovation outweigh higher labor and real estate costs. Except in San Francisco.
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Hiring managers from Netflix, Pfizer, Comcast, and more discuss essential technical skills, soft skills, and finding the elusive “super unicorn” data scientist.
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Choosing the right customer, technology, competition, and organization are necessary decisions for a successful startup.
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Build business commitment, provide shared technology, and streamline handoffs to increase the odds of success.
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The late MIT Sloan professor’s pioneering ideas on career anchors, humble inquiry, and organization culture are still used in management today.
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Family-run companies often struggle with modernization. To start, they should create a digital thesis and promote an agile board culture.
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Fifty years after founding FedEx, Frederick W. Smith talks about how artificial intelligence and robotics are changing shipping.
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Analytics skills remain outside the wheelhouse of many business leaders, who don’t always have a clear view of what data sources and analyses are necessary to formulate the insights they are seeking.