A diverse set is needed to produce lasting results
Big data is all about transformation - transforming the way we work, the way we make decisions, the way we see the world. All the talk these days is about how data scientists are changing the world by way of the big data wave. No doubt, data scientists are a vital and central part of big data transformation and will be so as far as the imagination can imagine. But let's not forget what other vital skills are needed.
Join us in taking a closer look at the skills and roles that are coming to bear on this exciting transformation of our world.Big Data Skills and Roles >>
Investment in big data infrastructure is running along at breakneck speed these days. Innovative database and visualization products, database technologies well-suited for storing and parallel processing vast quantities of unstructured data, and development of vertical applications are noteworthy domains we are seeing great strides in.
We must wonder, "where is it all going to end?". Will big data end with powerful analysis tools in the hands of "non-data-scientist" business analysts? Or will it push further out, becoming pervasive not just in business but in the consumer space as well by way of embeded apps in our smart phones, cars, and homes? And could the most profound end point of all be achieved - Institutionalization of data analytics in the governance of business and the public sector?
We begin exploring this topic here, and will continue in the future with curious ways of apply big data technologies to solve tough problems, serve unforeseen needs and ultimately change the world.
Designing solutions that thoroughly fill customer needs and exceed expections is certainly a good thing. And going the extra mile to perfectly implement your thoroughly spec'd out solution will make the fruits of your creative goodness bring zettabytes of happiness to your customers' devices, so you might think. But, ....If you build it will they come? >>
Process Performance Improvement
A big data solution recently reported helps an insurance carrier process claims in time of disaster. By applying analytics to unstructured inbound messages claims processing capacity scales up during a disaster when claims and other inquiries from customers will rise sharply. Other process performance benefits may also be possible with this embedded vertical solution.
Read more here on how this smart use of embedded text analytics enables better process performance and lays the ground work for improved customer service.