Over a five year time period, based on better analytics, and where everybody win (except drug companies, doctors and hospitals).

Most analytic models to reduce health care costs are focusing on having insurance companies,…

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• Visualization: friendly asteroids following Earth around the Sun…

Understanding how data converts from data to information to intelligence can be seen in the flow across the databases in an enterprise. What is a data warehouse? How do we get Business Intelligence? In this video I explain the high level view of how large corporations like Dell evolve their data to the front-end BI applications.

#iwork4Dell

Very interesting study published by KDNuggets. Here are the highlights:

The most popular languages continue to be R (used by 61% of KDnuggets readers), Python (39%), and SQL (37%). SAS is stable at around 20%. The highest growth was for Pig/Hive/Hadoop-based languages, R, and SQL, while Perl, C/C++, and Unix tools…

Data Science - The Process of Capturing, Analyzing and Presenting Business Intelligence with Skill - DataReality

Business analytics comes in three (3) general flavors: descriptive, predictive and prescriptive. See: …

Data analysis echo system has grown all the way from SQL's to NoSQL and from Excel analysis to Visualization. Today, we are in scarceness of the resources to process ALL (You better understand what i mean by ALL) kind of data that is coming to enterprise. Data goes through profiling, formatting, munging or cleansing, pruning, transformation steps to analytics and predictive modeling. Interestingly, there is no one tool proved to be an effective solution to run…

I know that not everyone will agree with my definition of Business Intelligence, but my objective is to simplify things; there is enough confusion out there. Besides, who is the authority on a terminology that its traditional frame of reference is…

For one : http://www.wired.com/wiredscience/2009/12/north-korean-missile/

Another use of bigdata in ionospheric calculation:

Be kind to visit my hut on divine communication, a validation to brain waves, esp, and all the weird things!…

In 2009 when I completed my first book "Unlocking Your Empire - keys to enable your social media powered business", social media was just starting to take off, and I made some predictions about the impact it would have on business, and the role both big data, and social media would have on the future of…

Big data applications in the CRM space is a no brainer -- so why are there so many laggards? Is is because of the investment required? I discuss this in my blog post and which refers back to a CMO.com article I contributed and was published this week.

Natural language processing (NLP) involves machine learning, artificial intelligence, algorithms and linguistics related to…

Business-Driven Evaluation of HP Vertica, Featuring CMA Consulting Services 

Thursday, September 5, 2013 at 11:00 a.m. ET

If you’re like most organizations, you have made a major investment in…

I am starting my masters in the field in predictive analytics  and searching feverishly for scholarships. If anyone is aware of scholarship opportunities for students within the industry of data I would greatly appreciate it! 

Thank you,

Brian

http://www.analyticbridge.com/profiles/blogs/big-data-big-dud-or-big-excuse-for-nonscientific-thinking

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I am no expert in market analysis of any kind, but my personal Big Data Analytics embedded in my small brains which I inherited from my cave-dwelling ancestors tells me that the industry is anticipating huge profits from…

Join us for a Webinar on September 10. Space is limited. Reserve your Webinar seat now.

Providing business intelligence (BI) for Big Data presents unique challenges. In addition to tackling performance challenges of Big Data, BI tools must be able to access new types of data, present it in meaningful ways and provide intuitive navigation for end…

http://www.analyticbridge.com/profiles/blogs/democratizing-data-assets-learning-from-data-big-and-small

http://www.analyticbridge.com/profiles/blogs/today-s-big-data-is-not-yesterday-s-big-data

There are several ways to make money via start-ups:

1. Invest in them (for experts only)
2. Create a big thing like Facebook : more than 99.9% who try fail, and finding VC money takes lots of time. Although you might enjoy a few years…