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Universities Offering Business Intelligence and Analytics

Sourcewww.statslice.com/university-report. They will add updates to the report as they get additional feedback. 
Please email them at info@statslice.com to provide updates or additions.

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Conferences Discussions – AnalyticBridge


Big Data – The Big Picture


Posted on May 9, 2013 www.PIMCoach.com



The Big Picture About Big Data. Can you connect the dots? This is what I see as happening in the world of Big Data as it relates to us an individuals. This is very personal.

1.) One of the largest investment areas within IBM, SAP, Google and Oracle concernsBusiness Intelligence . “Part of the reason SAP and Oracle acquired business intelligence software firms (BusinessObjects and Hyperion, respectively) was so they could offer a complete package, with both transactional and analytical systems.”

IBM’s Bet On Business Analytics http://www.forbes.com/2010/04/20/businesss-analytics-oracle-technol…

2.) Personal Privacy is dying, dying dead!!
“You have zero privacy anyway,” Sun Microsystems’ CEO Scott McNealy – 1999 . “Get over it.”
Wired Magazine: Sun on Privacy: ‘Get Over It:http://www.wired.com/politics/law/news/1999/01/17538
PC World – April 2000 – Private Lives? Not Ours!http://www.pcworld.com/article/16331/article.html

3.) Most of the computer titans are fighting the adoption of Personal Information Management privacy laws adoption.

Silicon Valley stomps on digital disclosure bill. http://rt.com/usa/silicon-valley-stomps-privacy-bill-794/. Why do you think this is so important to these large Enterprise Players? Your personal information, web habits, and preferences are being recorded, stored, mind (Business Analytics tools), and sold to advertisers, aggregators and others.

4.) One of the latest technology buzz words is called “Big Data” which means that there are large pools of data that are being generated and stored to be used to someone’s advantage in the near future. Very large pools of data. http://en.wikipedia.org/wiki/Big_data

5.) Major Enterprise Service Providers are harvesting and selling your information with or without your knowledge and or consent.

“Financial analysts asked how Google will monetize new products such as Google Now, which functions as a kind of personal digital assistant to automatically give users information as they go about their day.

“I’m not worried about that,” Page said. “The better the job we can do in providing users with information without their asking for it, the better we can provide commercial information from people who are excited about promoting it.”

In the context of this conversation Mr Page is referring to Users as “Individuals” and “People who are excited about Promoting it” refers to companies promoting their goods and services.
Google CEO: ‘Big bets’ on non-core products are worth the risk.http://www.computerworld.com/s/article/9238889/Google_CEO_Big_bets_…

6.) Predictive analytics: There is a growing field of knowledge called Predictive analytics that is in the early stages of it’s adoption curve.http://en.wikipedia.org/wiki/Predictive_analytics
Predictive analytics encompasses a variety of techniques from statistics, modeling, machine learning, and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events.

7.) “If you are not paying for the service, you are the product”.
Unknown source.

8.) ” The prize is enormous for product marketers and retailers alike. Retail sales represents $4.4 trillion in the U.S., 29% of GDP. This treasure chest invites aggressive retailers like Amazon to expand category offerings. ”


9.) A long followed process within the computer industry and other industries is called DIKW – Data, Information, Knowledge, Wisdom. From raw Data, Information can be surmised. From Information sources, Knowledge can be learned. With enough Knowledge, Wisdom is eventually achieved. And we all know that wisdom is Power!

What you need to know as an individual:
* Business Intelligence is all about gaining knowledge from Data and Information.
* Your Personal Information is being captured, tracked and harvested without your knowledge, and or consent.
* You have limited to no personal privacy when it comes to your personal information.
* Major corporations are spending millions to make sure that the current state of privacy as it relates to personal information stays in the state it is. Meaning individuals have limited to no privacy as it relates to their personal information.
* Many different kinds of data and information are being gathered and stored (Big Data) and aggregated in anticipation of near term information technology advancements in Business Intelligence tools, and Predictive Analytics tools.
* Your Personal Information is being gathered, stored, tracked, mind, and packaged for sale to Enterprise scale firms for their use in the future.
* One of the reasons you are not paying for complex services being offered up by some of the major brand name Social Media sites is that they are the ones gathering the data. Remember, “If you are not paying for the service… You are the product.” Meaning your personal information is the product.
* The market is enormous (Trillions) for leaders in the field that will be able to mine the information, gain knowledge from that information, and have the wisdom to be able to predict your daily patterns and serve up products and services that you may or may not be interested in.

What to expect. In the not too distant future, firms like Google, Facebook, Yahoo, Microsoft, Amazon and others will be able to serve up suggestions for your needs on an ongoing basis, either solicited by you, or unsolicited, depending on how you have set your personal preferences to be “Fed” information. Amazon does this now in a static mode with their suggestions features, from the Wisdom they have gathered and gained. This will become more invasive and prevalent  You will be able to walk down the street and be instantly informed of what the local merchant community is serving up and pushing at the moment. As you drive down the street, ads will flash by on your embedded and or mobile devices pushing what the merchants perceive as either your patterns of purchase or what they are pushing at the moment.

My stance is neither pro nor con on this coming title wave of information headed your way as a result of the convergence of many disparate technologies. It is up to you to decide how to manage this data deluge.

I hope this puts a few of the current trends into perspective and helps you understand what these technologies are about, and some of the uses of Big Data, Business Intelligence, and Predictive Analytics. Why they are important to the Industry titans. And how they will eventually enter into and effect our personal lives. Very soon this will get very personal.

Peter Gailey
The Personal Information Management Coach

Data Scientists Virtualize Data


Smart data scientists use data virtualization to integrate data from many diverse sources – logically and virtualized for on-demand consumption by different data analytical applications. For example, data virtualization is used to address challenges such as rogue data marts, business intelligence apps, enterprise resource planning and content systems and portals.
Data virtualization is the process of offering data consumers a data access interface that hides the technical aspects of stored data, such as location, storage structure, API, access language, and storage technology. Consuming applications may include: data analytics, business intelligence, CRM, enterprise resource planning, and more across both cloud computing platforms and on-premises.
Data Virtualization Benefits:
● Data scientists and decision makers gain fast access to reliable information
● Improve operational efficiency – flexibility and agility of integration due to the short cycle creation of virtual data stores without the need to touch underlying sources
● Improved data quality due to a reduction in physical copies
● Improved usage through creation of subject-oriented, business-friendly data objects
● Increases revenues
● Lowers costs
● Reduces risks
Data virtualization abstracts, transforms, federates and delivers data from a variety of sources and presents itself as a single access point to a consumer regardless of the physical location or nature of the various data sources.
Data virtualization is based on the premise of the abstraction of data contained within a variety of data sources (databases, applications, file repositories, websites, data services vendors, etc.) for the purpose of providing a single-point access to the data and its architecture is based on a shared semantic abstraction layer as opposed to limited visibility semantic metadata confined to a single data source.
Data Virtualization software is an enabling technology which provides the following capabilities:
• Abstraction – Abstract data the technical aspects of stored data, such as location, storage structure, API, access language, and storage technology.
• Virtualized Data Access – Connect to different data sources and make them accessible from one logical place.
• Transformation / Integration – Transform, improve quality, and integrate data based on need across multiple sources.
• Data Federation – Combine results sets from across multiple source systems.
• Flexible Data Delivery – Publish result sets as views and/or data services executed by consuming application or users when requested.
In delivering these capabilities, data virtualization also addresses requirements for data security, data quality, data governance, query optimization, caching, etc. Data virtualization software includes functions for development, operation and management.

Big Data Gets a Boost from Splunk and Hortonworks Strategic Alliance

Big Data Leaders Enable Operational Intelligence for the Open Source Apache Hadoop Ecosystem


Splunk Inc. (NASDAQ: SPLK), the leading software platform for real-time operational intelligence, and Hortonworks, a leading contributor to Apache™ Hadoop®, today announced a strategic alliance to enable organizations to gain operational intelligence using open source Apache Hadoop. The alliance ensures that organizations can take advantage of Splunk® Enterprise and Hortonworks Data Platform (HDP) utilizing Splunk Hadoop Connect, which easily and reliably moves data between Splunk Enterprise and Hadoop.

“Splunk Enterprise delivers more value as organizations integrate larger and more diverse datasets to the platform. Hortonworks, with its open source roots and ability to operate on Microsoft® Windows Server, brings an entirely new data proposition to Splunk customers utilizing Hadoop,” said Bill Gaylord, senior vice president of business development, Splunk. “The integration of HDP and Splunk Hadoop Connect opens up exciting new data possibilities. For example, customers can easily use Splunk Enterprise to collect machine data from across the organization and deliver it to Hadoop for batch analytics. Likewise, the output of Hadoop jobs can be imported into Splunk Enterprise for rapid analysis and visualization.”

“Developers who combine HDP and Splunk Enterprise can realize true end-to-end big data analytics with less workload and more payoff,” said Shaun Connolly, vice president of corporate strategy, Hortonworks. “HDP is the only 100-percent open source data management platform for Apache Hadoop and the only distribution available for Windows Server. The alliance with Splunk will help extend the Apache Hadoop ecosystem and further drive open source community innovation for the next-generation enterprise data platform.”


Neustar, a trusted provider of real-time information and analysis to the Internet, telecommunications, information services, financial services, retail, media and advertising sectors utilizes both Splunk Enterprise and HDP to help its customers promote and protect their businesses.

“Data and analytics are at the heart of Neustar’s products, and that’s why we rely on both Splunk and Hortonworks,” said Mike Peterson, vice president of platforms and data architecture, Neustar. “Splunk Enterprise monitors and analyzes the infrastructure of Neustar Media Operations and is vital to the reliability of flagship products like UltraViolet, and HDP is our trusted Hadoop distribution for a wide range of data storage and batch MapReduce processing. Splunk Hadoop Connect will allow us to make our products more valuable to our customers.”

Visit the Splunk website to learn more about Splunk Enterprise and Splunk Hadoop Connect. To learn more about the Hortonworks Data Platform, visit the Hortonworks website.

About Hortonworks

Hortonworks develops, distributes and supports the only 100-percent open source distribution of Apache Hadoop explicitly architected, built and tested for enterprise grade deployments. Developed by the original architects, builders and operators of Hadoop, Hortonworks stewards the core and delivers the critical services required by the enterprise to reliably and effectively run Hadoop at scale. Our distribution, Hortonworks Data Platform, provides an open and stable foundation for enterprises and a growing ecosystem to build and deploy big data solutions. Hortonworks also provides unmatched technical support, training and certification programs. For more information, visitwww.hortonworks.com.

About Splunk Inc.

Splunk Inc. (NASDAQ: SPLK) provides the engine for machine data™. Splunk® software collects, indexes and harnesses the machine-generated big data coming from the websites, applications, servers, networks, sensors and mobile devices that power business. Splunk software enables organizations to monitor, search, analyze, visualize and act on massive streams of real-time and historical machine data. More than 5,200 enterprises, universities, government agencies and service providers in over 90 countries use Splunk Enterprise to gain Operational Intelligence that deepens business and customer understanding, improves service and uptime, reduces cost and mitigates cybersecurity risk. Splunk Storm®, a cloud-based subscription service, is used by organizations developing and running applications in the cloud.

To learn more, please visit www.splunk.com/company.

Splunk, Splunk Storm and the engine for machine data are registered trademarks or trademarks of Splunk Inc., and/or its subsidiaries and/or affiliates in the United States and/or other jurisdictions. All other brand names, product names or trademarks belong to their respective holders. © 2013 Splunk Inc.

Big Data Use cases and applications


Leveling the Playing Field: How Companies Use Data for Competitive Advantage

The data that companies collect used to be considered intellectual property, to be protected and shared only with a select few. Today, there is an abundance of data—some would say an overabundance—with a wide array of tools to analyse it. Executives are beginning to realise that, if the deluge of information is to be exploited to the full, information should be widely shared, not hoarded. Only then can firms gain the insights that will put them ahead of their rivals.

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