Archive for the 'Big Data' Category
On March 2, 2015 Hitachi Consulting was chosen to build an innovative Big Data Platform for Denmark’s capitol, Copenhagen, to improve the quality of life in the Copenhagen area, to stimulate business activity, and to help achieve its ambitious goal to be carbon neutral by 2025.
In the last twelve months we’ve seen some massive data security breaches in the United States. Here is a list with the largest number of customer records exposed to loss:
According to the Business Insider “The cost of global payment card fraud grew by 19% last year to reach $14 billion. The cost of U.S. payment card fraud grew by 29% to $7.1 billion.”
Last week I was in the UK and had an opportunity to get an update on the Hitachi Train project, which was initially installed for the London Olympics. There has been a lot of progress in the past four years.
One of the big requirements in healthcare today is the requirement for Vendor Neutral Archives. This is the ability to store medical images from different vendors in a way that enables access to the data in a vendor neutral manner by other systems. This requirement arises because different medical image vendors have sold their systems [...]
There are basically three types of data. First there is business data that is generated by business processes and is usually stored in a structured repository like a database. The next type is human data or data that is generated by people to communicate and share information with other people, this type of data exploded [...]
When I am not travelling, I like to unwind before I go to sleep by watching recordings of real life TV mysteries like 48 Hour Mystery. The other night it was about a man who was hacked to death and wrapped up in a tarp in his garage. No one knew who did it until [...]
Awhile back I blogged about the value of big data and how it was being implemented in Liberia to improve the nutrition of nursing mothers and their new born and young children.
Extending my series on big data dimensions around volume, velocity, variety and value as defined by IDC and Gartner, this post is about value. How do we get value out of big data. In a previous post I referenced a small project in which the value of data is being realized through improvements in nutritional [...]