Analytics

Taking a more refined approach to big data

November 24, 2014
Data refinement is one of the most important revelations in the big data market. The idea is simple: you want to take advantage of and use all sources of big data. But when each individual user needs only information relevant to them, what’s needed is a data refinery. It automatically cleans, matches, secures and profiles data—that’s what is meant by refinement.  Read More

Announcing IBM DataWorks: A cloud-based data refinery

November 20, 2014
Last month at Insight 2014, IBM made an exciting announcement: IBM DataWorks is available now. The reaction was overwhelmingly positive; clients who have or will soon have a data lake were very keen on the notion of data refinement. In fact, a data refinery is a natural fit with a data lake.  Read More

Big Data & Analytics Heroes: David Vinson

November 18, 2014
David Vinson, business intelligence and analytics lead at Nike, believe that There’s a lot of new data out there—in fact, we now have access to data from the entire supply chain (from provisioning materials to build the shoe, to actually delivering the shoe on the dock, to selling the shoe). Read More

Data, analytics and the need for speed

November 17, 2014
The case is clear: the faster you can turn raw data into intelligent insight, the quicker you can get ahead of your competitors. Read More

Chief data officer: My mixed and nuanced musings on the need for one

November 13, 2014
When people say that "data is the new oil," they're usually making a general statement on how deeply modern organizations depend on data to drive transactions, analytics and processes in general. It's in that context that many organizations decide to appoint something called a chief data officer (CDO) to oversee this precious resource. Personally, I'm not sure that the responsibilities of a CDO, as described in these sources and elsewhere, are all that different from the older concept of a chief information officer (CIO). Regardless of what we call this business-focused function (CDO, CIO or even chief analytics officer), it's important that there be a C-level executive who is responsible for overseeing governance of the organization's data resources, ensuring that they be applied effectively to achieve important business outcomes and transforming the organization into a more data-savvy culture. Read More

Get started with the Big Data for Social Good Challenge

November 13, 2014
Supporting the social initiatives important to IBM employees and their families and friends is important to IBM. Now, big data technology is giving IBM and its people another opportunity to serve our communities and the world.  Read More

Big Data & Analytics Heroes: Leonardo Nantes

November 11, 2014
This week’s Big Data &Analytics Hero, Leonardo Nantes, IT executive of Brazilian credit bureau Boa Vista Servicios, has faced numerous challenges since the merger of two companies took place a few years ago. Boa Vista now serves hundreds of thousands of clients nationwide and handles more than three million transactions per day. Since the business involves credit ratings and personal information, big data security and integrity are paramount. Read More

Uncovering the magic of today’s data-driven marketers

November 10, 2014
At the annual DMA global conference for data-driven marketers we explored best practices and new tools, predicting future trends for a marketing profession undergoing significant transformation. Read More

Bust myths to gain insights and make data work for you

November 10, 2014
Data is the new natural resource, and those who can harness it will be leaders. But, there are many myths about how to make data work for an organization. During the Information Management Keynote at Insight 2014, IBM busts these myths. In her post, Harriet Fryman, vice president of Information Management at IBM, shares highlights and her perspective on how to make data work for you and your company. Read More

Make data work—Know more, faster

November 5, 2014
All the data in the world isn't helpful unless you put it to use. Employees spend countless hours just pulling data together and making sense of it. We set out to close the data divide between those that are able to put data to work, and those that aren’t. Our cloud-born data services provide data professionals and application developers the unique ability to turn data into readily available fuel for their organizations—all anyone else has to do is choose how to apply it.  Read More

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