Noetix Brings Business Intelligence to Healthcare
June 8, 2012
Here is a case study about the value of business intelligence in healthcare. Noetix declares in their blog that “Noetix Analytics is a Game Changer for Invacare.” Invacare Corporation is a leading worldwide provider of home and long-term care medical products. In 2006, the company wisely decided to pursue a modern business intelligence (BI) system. In that regard, Invacare is way ahead of the crowd in the healthcare field.
The forward-thinking company tapped Noetix Analytics for several reasons, not the least of which is its great ease of use. The write up informs us:
“Today, 100 end users are accessing financial reports through Noetix Analytics linked with Cognos 10 BI, and more users are trained daily. [Invacare CIO David] Mewes says this is revolutionary for the medical products field, which has historically not used cutting edge technology to conduct this type of business. ‘This industry doesn’t use a lot of IT tools and we’re finding Noetix Analytics to be very much a game-changer for Invacare.’
“Profitability is more important than ever in the medical devices industry due to government financial reimbursement and the ways competitive costs are scrutinized. The financial analytic reporting that Invacare has been able to conduct around its profitability has radically changed the company’s business outlook.”
We applaud Invacare for embracing BI technology. The company is now implementing Noetix Analytics globally; they plan to make it the data repository for all of their transactional systems.
Headquartered in Redmond, WA, Noetix also has offices in London, UK and Hyderabad, India. Since its founding in 1994, the company has accumulated some big-name clients, including Starbucks, Toshiba, and Visa. Now known, they say, as the Oracle Applications Reporting Experts, Noetix began as an Oracle consulting firm. In 2009, the company acquired business intelligence analytics company Jaros Technologies Corporation, which specialized in packaged analytics for Oracle E-Business Suite.
Cynthia Murrell, June 8, 2012
Sponsored by PolySpot
Data Visualization Solves One Piece of the Analytics Software Puzzle
June 6, 2012
We came across an interesting summary of visual mining for bioscience in the form of an abstract from PubMed from the U.S. National Library of Medicine. The background, results and conclusions were shared in, “Methods for Visual Mining of Genomic and Proteomic Data Atlases.”
Analytic software is in an interesting place currently. Users demand a high level of scientific reasoning within an intuitive and efficient tool. Data visualization is part of the answer as it enables the user to interact with diverse and complex data directly manipulating it on screen.
The paper both discusses and provides illustrations regarding an approach to developing visual mining tools capable of supporting the mining of petabytes of information. For laypeople like my colleagues and I at Beyond Search we stuck to reading the text.
The paper concludes with the following thoughts:
“The mining of massive repositories of biological data requires the development of new tools and techniques. Visual exploration of the large-scale atlas data sets allows researchers to mine data to find new meaning and make sense at scales from single samples to entire populations. Providing linked task specific views that allow a user to start from points of interest (from diseases to single genes) enables targeted exploration of thousands of spectra and genomes.”
While we thank the authors for their work on the subject, they must understand that visualization is not a silver bullet.
Megan Feil, June 6, 2012
Sponsored by PolySpot
HP Autonomy: The Big Data Arabesque
June 5, 2012
Hewlett Packard has big plans for Autonomy. HP paid $10 billion for the search and content processing company last year. HP faces a number of challenges in its printer and ink business. The personal computer business is okay, but HP is without a strong revenue stream from mobile devices.
“HP Rolls Out Hadoop AppSystem Stack” provided some interesting information about Autonomy and big data. The write up focuses on the big data trend. In order to make sense out of large volumes of information, HP wants to build management software, integrate the “Vertica column oriented distributed database and the Autonomy Intelligent Data Operating Layer (IDOL) 10 stack.” The article reports:
On the Autonomy front, HP has announced the capability to put the IDOL 10 engine, which supports over 1,000 file types and connects to over 400 different kinds of data repositories, onto each node in a Hadoop cluster. So you can MapReduce the data and let Autonomy make use of it. For instance, you can use it to feed the Optimost Clickstream Analytics module for the Autonomy software, which also uses the Vertica data store for some parts of the data stream. HP is also rolling out its Vertica 6 data store, and the big new feature is the ability to run the open source R statistical analysis programming language in parallel on the nodes where Vertica is storing data in columnar format. More details on the new Vertica release were not available at press time, but Miller says that the idea is to provider connectors between Vertica, Hadoop, and Autonomy so all of the different platforms can share information.
HP’s idea blends a hot trend, HP’s range of hardware, HP’s system management software, a database, and Autonomy IDOL. In order to make this ensemble play in tune, HP will offer professional services.
InfoWorld’s “HP Extends Autonomy’s Big Data Chops to Hadoop Cloud” added some additional insight. I learned that former Autonomy boss Michael Lynch will leave HP “along with Autonomy’s entire original management team and 20 percent of its staff.”
The story then explained that Autonomy, which combines with Vertica:
can now be embedded in Hadoop nodes. From there, users can combine Idol’s 500-plus functions — including automatic categorization, clustering, and hyperlinking — to scour various sources of structured and unstructured data to glean deeper meanings and trends. Sources run the gamut, too, from structured data such as purchase history, services issues, and inventory records to unstructured Twitter streams, and even audio files. IDOL includes 400 connectors, which companies can use to get at external data.
Autonomy moved beyond search many years ago. This current transformation of Autonomy makes marketing sense. I am interested in monitoring this big data approach. IBM had a similar idea when it presented the Vivisimo clustering and deduplication system as a “big data” system. The challenge will be applying text centric technology to ensembles which generate insights from “big data.”
Will the shift earn back the purchase price of $10 billion and have enough horsepower to pull HP into robust top line growth? Big data and analytics have promise but I don’t know of any single analytics company that has multi-billion dollar product lines. Big data is a hot button, but does it hard wire into the pocketbooks of chief financial officers?
Stephen E Arnold, June 5, 2012
Sponsored by IKANOW
The New Lexi-Portal Version 4 Offers More Options
June 5, 2012
Leximancer just introduced Lexi-Portal Version 4 to the market. This new service provides availability to users for all the wide-ranging text analytic capability of Leximancer. Market researchers will find that this portal will provide them with fast analysis of qualitative surveys, spreadsheets and verbatim data.
Leximancer’s technology is proven with customers all around the globe. Their providing new and innovative ways for businesses to benefit in a no strings attached way. Basically, you have options on how to utilize the Lexi-Portal.
There are several aspects of their portal that make it unique to users, such as the fact they made it an ‘on demand’ service. This means you don’t actually have to subscribe every month, but instead are charged for the actual amount of usage based on either a time used or service basis. The convenience of the pay as you go aspect is that the Lexi-Portal will retain your company’s information for up to two months even if your usage drops for a month.
About Leximancer:
“Leximancer is an Australian company that has been providing leading-edge text analytics technology for almost 10 years.”
“The technology was created following 7 years research and development at the University of Queensland by Dr Andrew Smith. Andrew’s physics and cognitive science background, in conjunction with his working IT application experience, enabled him to envisage and develop an innovative solution to the growing need to readily determine meaning from unstructured, qualitative, textual data.”
You can view sample out’s at the Leximancer Chart Gallery such as the interview dashboard below:
Jennifer Shockley, June 5, 2012
Sponsored by PolySpot
Woopra Live Chat Aims for New Surfing Experience
June 5, 2012
We’ve all experienced websites that were impossible to navigate, but a simple customer service chat feature, as discussed in the article, Real-Time Analytics and Live Chat: “Breaking the Virtual Wall” can literally turn your navigation nightmare into a sweet site surfing dream.
Woopra provides a very good example of how real time analytics can help in a live chat customer support environment as:
“Live Chat is significantly more powerful when backed up by real-time customer data that enables you to identify the appropriate moments when a chat request would be welcomed by your website visitor.”
“In addition to the ability to identify the correct moments to initiate a chat, real-time analytics will also give you a good understanding of who you’re chatting with. You’ll have information such as the visitor’s location, history with your website, account information and much more.”
Having a bad experience on a website can ultimately compel you to seek out another site. If there was someone familiar to provide help and answers, then consumers would be less likely to look elsewhere. The use case may be skewed to the larger company, not the smaller outfits, but the point is the same. Woopra’s Live chat, by utilizing analytics can easily end a navigation nightmare and coordinate ease of access for the user. Just imagine if all customer oriented sites provided live chat, we’d all have sweet site surfing dreams.
Jennifer Shockley, June 6, 2012
Sponsored by PolySpot
Inteltrax: Top Stories, May 28 to June 1
June 4, 2012
Inteltrax, the data fusion and business intelligence information service, captured three key stories germane to search this week, specifically, what is hot and trending in big data these days.
The first answer came from our story, “Dashboard Data Analytics Hot” which showcases the many ways in which increased usability is increasing big data’s popularity.
Also, “The Next Great Data Gold Mine” looks a little deeper into what we already know, social media is going to be huge for analytics.
Finally, “Analytic Healthcare Contests Boom” showed that many of the health field’s biggest problems are being solved by analytic contests.
The rapidly evolving world of big data is always in flux. What’s hot today might be cold next week. But know we’ll be taking the industry’s temperature every day to stay atop all the exciting changes.
Follow the Inteltrax news stream by visiting www.inteltrax.com
Patrick Roland, Editor, Inteltrax.
June 4, 2012
Clustify 3.0, A Flexible New Way to Analyze and Organize
June 4, 2012
Hot Neuron just introduced a hot new integration tool that’s giving clusters a good name. In some cases people assume a cluster is something jumbled together. Clustify 3.0 has redefined cluster with Clustify into a well-organized, easily accessible group, according to the article, Clustify 3.0 Adds Integration with a Broad Range of Databases and e-Discovery Tools.
According to Bill Dimm, the CEO of Hot Neuron:
“We aim to make Clustify an extremely flexible tool that clients can use in many different ways, rather than a closed system. Version 3.0 furthers that goal by working with a variety of database management systems and data architectures on both Microsoft Windows and Linux. Working directly with the database is not only convenient and powerful, it is also very fast.”
Hot Neuron was founded in February 2000 by Bill Dimm, who has a Ph.D. in theoretical elementary particle physics from Cornell University. Dr. Dimm did mathematical modeling and computer programming before specializing in retrieval software and services.
Clustify will organize documents into labeled clusters and provide an overview. It will allow for user review and categorize related documents for ease of access. This system will make it simple to perform basic calculations with just a point and click format. What a great new way to analyze and organize, as Clustify 3.0 is flexible enough to work with a wide range of document review platforms and e-discovery tools.
Jennifer Shockley, June 4, 2012
Trampoline Systems Pivoted to Social Analytics. Did It Get Dizzy?
June 1, 2012
According to Charles Armstrong, the CEO of Trampoline Systems, their company’s journey has not always been easy. They jumped into the business of network analysis technology about five years to early during a time of global economic struggles and faced some investment problems.
Facing the challenges head on, they created their own form of venture financing and ended up being the first company in the world to raise money via equity crowd funding. Now, the fruits of their labor have ripened and their moving right along with the times.
They describe their specialty on their website as;
“Trampoline Systems is an award-winning specialist in social analytic software. The company’s SONAR technology analyses business communications to map internal collaborations analyze external relationships and report on critical performance factors. Dedicated solutions are available for sales force optimization, internal reorganizations and expertise search.”
“The company grew out of Charles’ ethnographic research into social behavior underlying efficient collaboration, which saw him spend three years living in small island communities.”
“SONAR Framework provides a flexible range of modules for data aggregation, analysis, visualization and reporting.”
Charles Armstrong basically runs the show. However, Craig McMillan, CTO is the mastermind behind their technology. He is responsible for creating the overall system architecture and development of the core analytic algorithms. Their award winning Software Company gained recognition and made an impact, which has pivoted Trampoline Systems into the social analytic industry. The company has been quiet. Did the pivot disorient management and customers?
Jennifer Shockley, June 1, 2012
The Semantic Knowledge Tropes Is No Longer a Commercial Product
May 31, 2012
The current version of Semantic Knowledge’s Troupe is now available for Download at no cost. This useful tool has been benefiting business for over a decade and has yet to outlive its usefulness.
Semantic-Knowledge has been in business since 1994 providing business consumers with the means to increase ROI with simplified Natural Language Processing software including; Semantic Search Engine, Text Analysis, Intelligent Desktop Search, Text Mining and Classification systems.
Tropes will perform different types of text analyses but the overall purpose is to assign, to analyze and to examine text. A basic summery of the program is:
“Content analysis consists in revealing the framework of a text, i.e. its meaning. This necessarily implies two things. First, there must be a theoretical conception of the text: this must describe both the textual organization of the things that are said and the structural organization of the thought-processes of the people who say them. Secondly, it implies the use of a tool derived from this theoretical conception and rigorously excludes the subjectivity of the investigator, at least until the analysis is finished.”
Tropes offer’s considerable time savings and enhances strategic data. Therefore it can help businesses to yield an exceptional Return On Investments (ROI). Since Tropes is no longer a commercial product, now users can experiment with this text based programming without the cost incurred during its initial release.
Jennifer Shockley, May 31, 2012
Sponsored by PolySpot
Lexalytics Uses Text Analytics to Find the Most Popular Superhero
May 31, 2012
The LexaBlog recently posted some interesting information about popular superheroes in the article “The Avengers: Most Popular Superhero?”
According to the article, writer Seth Redmore analyzed 330,000 tweets regarding the new Avengers superhero movie by sending out query topics on the main characters as well as the actors playing them.
Redmore breaks the information down for us with several charts showing the most to least popular characters as well as the most to least popular themes as well as hash-tags.
When discussing his process, Redmore states:
“This actually does a good job of showing why I wanted to create query topics for the superheroes. Many of their names come out looking more like themes than like proper “names”. Many of these themes aren’t particularly useful, so, I excluded a bunch of them when I was doing other sorts of analysis. Next, I decided to see what themes were most commonly associated with each of said superheroes. As I said before, I pulled out things like “watching avengers” when I was doing this analysis, as it adds nothing in terms of what people were associating with this character/actor.”
How will this aid your business? Send us your ideas via the comments section of this blog.
Jasmine Ashton, May 31, 2012
Sponsored by PolySpot
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