Big Data Use Cases
December 19, 2014
In the remarkably rich and active domains of big data and analytics, which sometimes seem to be going in many directions at once, we can expect to see more order and convergence in the coming year.
December 18, 2014
Computational modeling has revolutionized all branches of the physical sciences, engineering and design. Leading-edge work in these fields is pushing new computational frontiers at nano scales. Computation-centric methods allow researchers to model, simulate and assess a much wider array of options far more rapidly than old-fashioned physical techniques. However, the incredible productivity of computational prototyping carries a downside: far more candidate molecules can be simulated than can reasonably be assessed by human researchers. The bottom line is that when you build bigger haystacks, you need more powerful tools for finding the golden needles that may be buried deep within.
December 16, 2014
The competitive landscape in business has been data. But what's changing in 2015?
December 16, 2014
“As you dig deeper into unstructured data where feelings, emotions and other often messy information reside, you have to embrace qualitative metrics which don’t fit neatly into traditional quantitative analysis,” says David M. Lawson, co-founder & CEO of NewSci, LLC and this week’s Big Data & Analytics Hero.
December 15, 2014
Financial services and banking are data-driven. Organizations in these industries store and analyze data on millions of customers, this data valued in the billions. As a consequence, they have to struggle with ever increasing volumes, velocity and variety of data. To stay ahead of competition, and to detect fraud before it happens, financial service companies are using Hadoop to more effectively analyze data and make well-informed decisions.
December 12, 2014
Today, energy and utility companies are relying on Hadoop to help curb energy consumption, reduce energy loss and add more clean power to the grid. Using big data and analytics, organizations can empower users to understand their energy usage and give them the chance to reduce how much they use and pay.
December 11, 2014
Curation addresses a purpose that stewardship never has in the data analytic governance context. Whereas stewardship refers to data’s trustworthiness, curation addresses the quality criterion of relevance. Consequently, curators might be regarded as being responsible for a “single version of what’s worthy of your consideration.” The repositories in which curated information is kept are not usually official systems of record, but, rather, systems of insight, in the broader sense of the latter.
December 9, 2014
To fulfill the promise of analytics, we must put a lot more effort into delivering these projects right, the first time. We must think through each of the traditional success criteria and ask ourselves the burning question: how is delivering analytics different? This starts from gaining executive support, creating a business case, putting a team together, conducting proof of concept, quantifying benefits realization and socializing results for enabling analytics driven organizational change.
December 9, 2014
Jake Porway, founder and executive director of DataKind and this week’s Big Data & Analytics Hero, shares that they’ve found that "cross-sector collaborations between data scientists, managers, designers, foundations, nonprofits and more are critical for really making lasting change.” When we all come together and lock elbows we can use data to really make a difference.
December 5, 2014
We live in the time of profound technological shifts driven by the ever-increasing availability of data. This post discusses some of the ways data and analytics are impacting our lives; it is also a call to action, to think out of the box and look for new applications and data-driven solutions.