September 2014

All posts from September 2014

The chief data officer: Tomorrow’s corporate rock stars

by pm2net on September 30, 2014 , Comments Off on The chief data officer: Tomorrow’s corporate rock stars

It’s pretty clear by now: data is the new natural resource. I spent the last two days at IBM’s Chief Data Officer (CDO) Strategy Summit, along with 120 participants, most of which were CDOs, de-facto CDOs and future CDOs. We can all certainly see why this new role is rock star material, but what about the reality of the role today?

Source: big data hub

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Why is big data talked about so much?

by pm2net on September 29, 2014 , Comments Off on Why is big data talked about so much?

Big data presents a tremendous opportunity to alter the ways we think and do business. Hadoop, analytics and other technologies will be front and center at this year’s Strata/Hadoop World event in NYC on October 15 through 17 and we will be there to discuss text analytics, Hadoop use cases, SQL-on-Hadoop, machine learning and much more. Will you join us?

Source: big data hub

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Strengthening your brand loyalty in the digital era

by pm2net on September 26, 2014 , Comments Off on Strengthening your brand loyalty in the digital era

As CP companies continue to evolve strategies on driving brand loyalty and market differentiation, not only do they need to leverage the proliferation of consumer data, advances in analytics and digital marketing technology to engage consumers with greater relevance and timeliness, they also need to consider how the consumer and the household landscape is evolving and the opportunities that presents.

Source: big data hub

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Declaring data independence

by pm2net on September 26, 2014 , Comments Off on Declaring data independence

Before business users can start to analyze data and consider the next best actions to improve results, it is typically required to submit a request for the data. Depending on the backlog of requests to IT, the business user might have to wait days, weeks or more before moving ahead with analysis and action. How do you overcome this constraint?

Source: big data hub

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Data science's limitations in addressing global warming

by pm2net on September 25, 2014 , Comments Off on Data science's limitations in addressing global warming

Global climate data is massive, diverse and often internally inconsistent. Researchers who attempt to use data science to understand, predict and control global warming find themselves challenged by methodological limitations that frustrate their attempts to fathom this sprawling mosaic. Chief issues include historically thin sources, rampant auto-correlations and heterogeneous data provenance. Tackling global warming requires a harmonious balance between theory-driven domain science and data-driven statistical analysis.

Source: big data hub

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