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Three Steps to Big Data Discovery - Social, Agile, and Transformation

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Three Steps to Big Data Discovery. Document Discoveries. Isaac Sacolick.

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What Is Big Data? The Real Challenges Beyond Volume, Velocity.

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 What Is Big Data? Big Datas Challenges. Tuesday, December 11, 2012.

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Big Data, Agile, CIO - 2012 in Review

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Big Data, Agile, CIO - 2012 in Review. Speaking on Big Data in 2012.

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How Effective is your Big Data Implementation?

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Top Five Tools of Big Data Analytics

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Top Five Tools of Big Data Analytics. and business transformation.

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Why Stories Work where Requirements Documents Fail - Social.

Social, Agile and Transformation

I cover topics for Technologists from CIOs to Developers - agile development, agile portfolio management, leadership, business intelligence, big data, startups, social networking, SaaS, content management, media, enterprise 2.0 Why Stories Work where Requirements Documents Fail. and business transformation.

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How Important Is “Perfect Data” To Data Analytics Programs?

CTOvision

With that in mind here are a few suggestions to ponder when you are considering improvements in how you analyze and use data; note that "data quality" is only one of the many things you need to be considering: Be honest about costs. Engage early and often with senior management, not just with your project's sponsor.