CTOvision
SEPTEMBER 21, 2015
Here’s something to think about when you're planning a big data project: are you planning a project or a program ? Here's a simple distinction: A project typically has a beginning, middle, and end. A program is something ongoing and relatively permanent. Discussion.
CTOvision
OCTOBER 26, 2015
I'm currently researching big data project management in order to better understand what makes big data projects different from other tech related projects. Many if not most organizations still have a lot to learn when it comes to making use of emerging big data analysis techniques.
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CTOvision
JANUARY 7, 2016
If data analysis is Big Data’s “tip of the spear” when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target. Portfolio Management. Delivering value.
CTOvision
FEBRUARY 9, 2016
M att Turck has some interesting things to say about “big data” in “ Is Big Data Still a Thing? The 2016 Big Data Landscape).” Add in sensor based and unstructured data and you have situation where traditional data management thinking may prove inadequate. How much time will it take?
CTOvision
JULY 19, 2016
One phrase in regular rotation in my elevator pitch is “data program governance." The individual words are straightforward: Data includes any kind of data such as numeric, financial, textual, image, or meta. Program means an organized set of activities designed to accomplish a defined set of objectives.
CTOvision
DECEMBER 21, 2013
By Bob Gourley If you are an analyst or executive or architect engaged in the analysis of big data, this is a “must attend” event. Registration is now open for the third annual Federal Big Data Apache Hadoop Forum! 6, as leaders from government and industry convene to share Big Data best practices.
CTOvision
MARCH 3, 2016
The question of "where to start" on a data analytics program was another important question raised by the DorobekINSIDER attendees. Engage early and often with senior management, not just with your project's sponsor. Deliver useful analytical results early and often even if the underlying data are suspect.
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