PolySpot Enables Monetization of Data with Information Delivery Networks
December 10, 2012
The question remains on the table for many businesses as to when they will begin to embrace big data as the tool that can revolutionize how they do business. From the Harvard Business Review comes an article “What a Big-Data Business Model Looks Like perfectly suited as reading for organizations who are curious about taking the plunge.
The author describes three main tools he has seen emerge to fit the needs of businesses looking to extract value from big data. The first involves utilizing data to create differentiated offerings. The second concentrates on brokering this information. The third is about building networks to deliver data where it’s needed, when it’s needed.
A quick skim through the article will point any smart business to the third and most exciting software option: delivery networks are said to enable monetization of data.
The article tells us:
Content creators — the information providers and brokers — will seek placement and distribution in as many ways as possible. This means, first, ample opportunities for the arms dealers — the suppliers of the technologies that make all this gathering and exchange of data possible. It also suggests a role for new marketplaces that facilitate the spot trading of insight, and deal room services that allow for private information brokering.
Information must be in the hands or computers of those who need to use it at the moment they require the specific data. Luckily, PolySpot technologies have the capability to deliver information in this manner.
Megan Feil, December 10, 2012
Sponsored by ArnoldIT.com developer of Augmentext
Value Can be Delivered Across the Enterprise in the Form of Big Data
December 6, 2012
We have heard about big data in regards to it’s volume, velocity and variety, but what about value? CMS Wire asserts “Big Data Explosion Offers Value.” Further discussing value, the article deconstructs what factors add up to value in regards to big data.
If 90 percent of all data in the world has been created in the last two years, as this article says is the case, then it is no wonder that experts say relevant and important insights can be culled from big data at-large. Relevance is the key to gleaning any value from data – and that fact remains true for big data.
In order to understand the gems of insight hidden in big data, business intelligence software solutions are needed. Sitecore Analytics Director Ron Person discusses the need for new analytical methods:
‘Current business intelligence provides comparative charts and creates trend lines,’ he said. ‘The future will be self-learning analytics and self-tuning sites. We will look for patterns we don’t know exist — the ‘unknown unknowns.’ Known unknowns are when you know what you’re looking for. Unknown unknowns are finding patterns you don’t know are there.’
He is correct: next-generation technologies for business intelligence will interpret and create information to deliver it to enterprise users who need it. However, the future seems like it is already here when you think about solutions from vendors such as PolySpot.
Megan Feil, December 6, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
PolySpot Creates and Delivers Insights and Knowledge
December 5, 2012
The source of data is not singular these days. There are many spouts that funnel into a much larger pool than ever before. According to IBM, more than 2.5 quintillion bytes of information are generated every day, as cited in the recent article “Big Questions for Big Data” from the Huffington Post.
The author drew upon his experience in participating and presenting at the MIT SENSEable City Laboratory‘s UrbanCode Symposium. While much excitement characterized the sentiment of the event, there was also several concerns that the attendees (students of public policy) expressed. As a side note, the author noted that these folks are not often fluent in technology but are aware of potential issues in bringing new methods to the table.
In reference to organizational capacity, the following issues were identified:
Data are resources, but they are not information. Translating data into information and knowledge takes organizational capacity that does not exist in most of the world’s urban centers, e.g., a new generation of “data professionals,” processes and tools to gather, digest and transform big data into information that can be understood and used to make mundane urban operations such as ensuring that the traffic signals are working to making major investment decisions to determine whether a new rail systems should be built.
All knowledge and insights are essentially interpretations. Vendors like PolySpot understand this idea and knowledge and insights easily come to fruition with their Information at Work solution.
Megan Feil, December 5, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Exclusive Interview with the CTO of Cybertap
December 4, 2012
Cybertap is a company which pushes beyond key word search. The firm’s technology permits a different type of information retrieval.
In an exclusive interview with ArnoldIT, Cybertap revealed that hidden within the network traffic are malicious attacks, personal and medical information leaks, and insider theft of intellectual property and financial information. Cybertap’s clients use Recon to keep tabs on the good and the bad being done on their networks and who’s doing it, so that they can take the proper actions to mitigate any damage and bring the individuals to account.
Dr. Russ Couturier, Chief Technology Officer of Cybertap, recently granted an exclusive interview to the Arnold Information Technology Search Wizards Speak series to discuss Cybertap Recon, a product that applies big data analytics to captured network traffic to give organizations unparalleled visibility into what is transpiring both on and to their networks.
Until recently, the firm’s technology was available to niche markets. However, due to the growing demand to identify potentially improper actions, Cybertap has introduced its technology to organizations engaged in fraud detection and related disciplines. The Cybertap system facilitates information analysis in financial services, health care, and competitive intelligence.
Dr. Couturier said:
Recon is able to decrease risk and improve your situational awareness by decreasing the time to resolution of a cyber event and by improving your knowledge of what happened during a cyber event. We are incorporating big data analysis techniques to reduce the meaningless data and quantify the meaningful information using categorization, semantic, and sentiment tools,” Couturier said. “Recon presents the information as it was originally seen so analysts can follow conversations and threads in context.
The firm’s system processes content, embedded files, attachments, attributes, network protocol data, metadata, and entities. Developers incorporated semantic analysis tools to “roll-up” large volumes of data into what they call “themes” and “topics.” This aggregation enables researchers to more quickly decide whether information is relevant.
He added:
Mash ups and data fusion are crucial when dealing with big data. You can search, visualize, link, and reconstruct exactly what happened from the primary source and reduce investigation times by hours or days.
Cybertap is one of a handful of content processing firms taking findability to a new level of utility. The firm’s system combines next-generation methods with a search box and visualization to provide unique insights into information processed by the Cybertap system. The full text of the interview is available at www.arnoldit.com/search-wizards-speak/cybertap.html.
Cybertap LLC’s vision is to integrate the best-of-breed cyber forensics, analysis, and security technologies. Cybertap serves all markets requiring solutions next generation data analysis tools including: federal government markets, both civilian and Department of Defense agencies; commercial markets; and state and local governments. The privately held company has offices located in Vienna, Virginia; Englewood, Colorado and Palmer, Massachusetts.
The system is important because it underscores the opportunities for innovators in information retrieval and analysis. Cybertap combines search with a range of functions which allow a combination of alerting, discovering, and finding. In my experience, few products offer this type of pragmatic insight without the costs and complexities of traditional systems built by cobbling together different vendors’ products.
Search Wizards Speak is the largest collection of interviews with innovators and developers working in search and content processing. An index to the more than 60 interviews is available at http://www.arnoldit.com/search-wizards-speak/.
Additional information about Cybertap LLC is available at http://www.cybertapllc.com.
Stephen E Arnold, December 4, 2012
Business Intelligence Software Essential to Current Business Decisions
December 3, 2012
Business intelligence (BI) technologies are essential to today’s knowledge workers in the enterprise, providing helpful and necessary decision support software. A recent academic research article addresses the changes and growth in this industry in the past twenty years. The article, “An Overview of Business Intelligence Technology,” published in the August 2011 issue of Communications of the ACM, was written by a team of researchers from Microsoft Research and Hewlett-Packard Lab. According to the article, this rapid growth has been fueled by the declining cost of data storage.
The article states:
“Enterprises today collect data at a finer granularity, which is therefore of much larger volume. Businesses are leveraging their data asset aggressively by deploying and experimenting with more sophisticated data analysis techniques to drive business decisions and deliver new functionality such as personalized offers and services to customers. Today, it is difficult to find a successful enterprise that has not leveraged BI technology for its business.”
This obvious growth accompanies a need to shorten the lag time between acquiring data and decision-making in daily business. Innovations in BI technologies require sophisticated functionality and services. Enterprise search solution Intrafind has a history as a university developed solution that understands the challenges in this industry and the company has created research-based services that solve the problem of making data findable within enterprise environments.
Andrea Hayden, December 3, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Convergence of BI and Enterprise Search Requires Full Service Solution
November 30, 2012
We are starting to see a slow convergence of business intelligence and enterprise search in the world of corporate IT. And according to the article “Business Intelligence, Enterprise Search: Marriage in Prospect, Still No Ring” on Computer Weekly, the catalyst for this convergence may just be the Big Data trend and the continued focus on unstructured data in this arena.
According to the article, the need to sift through the available data to find what is relevant and create an end-to-end solution is the ultimate goal. We learn:
“Ollie Ross, head of research at the Corporate IT Forum, notes a convergence of business intelligence and enterprise search interests among members of the blue chip user group, at least to the extent of the holding of a member-driven ‘Enterprise Search as a Business Intelligence Tool’ workshop in December 2011. Ollie Ross said that when enterprise search was first broached inside the forum, some two years ago, it was intensive from some, but not general. […] But, over time, it has come to be seen as potentially a matter of business advantage, given sufficient usage.”
BI, Enterprise Search, and Big Data Analytics are three different approaches to finding information. A good bet to close the deal would include working with a full-service solution like Intrafind that can meet your enterprise needs and even help guide you through the maze of options.
Andrea Hayden, November 30, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Extract Meaningful Insight and Deliver Information with PolySpot Technology
November 28, 2012
When regular media means do not work to process data, you know you are dealing with big data. Marketing Pilgrim discusses this concept in their recent article, “Just How Big is Big Data.” Many organizations are currently focused on how to pinpoint the information they need, build off of insights from it and share it across the enterprise.
However, the biggest challenge for companies, according to Monetate’s new Infographic “The Retailer’s Guide to Big Data” is that it is difficult to calculate ROI.
The article told us:
45% said they aren’t using the data effectively to personalize marketing efforts and that’s a catch all for a lot of problems. That also goes along with the third highest response, “not able to link the data together at the individual customer level.” What both of those buckets are saying is that we know the data is out there, we know it’s useful, but we don’t know how to make it so.
The question is not how big is big data. Instead, we wonder how big big data will get. Enterprise organizations only have more vested in big data as the days go by when they use solutions like PolySpot to extract meaningful knowledge and information and enable users across the enterprise to access this information.
Megan Feil, November 28, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
Facebook Mounts Technical PR Push
November 26, 2012
Info World recently reported on Facebook’s appetite for crunching data reaching new highs in the article, “Facebook Pushes the Limits of Hadoop.”
According to the article, since the social media giant has a billion users and a requirement to analyze more than 105 terabytes every 30 minutes, it has reached the upper limits of raw Hadoop capacity. The desperate need for more data crunching has lead to the company’s launch of the Prism Project, which supports geographically distributed Hadoop data stores.
In order to compensate for Hadoop’s capacity deficiency, the article states:
“Facebook’s business analysts push the business in a variety of ways. They rely heavily on Hive, which enables them to use Hadoop with standard business intelligence tools, as well as Facebook’s homegrown, closed source, end-user tool, HiPal. Hive, an open source project Facebook created, is the most widely used access layer within the company to query Hadoop using a subset of SQL. To make it even easier for business people, the company created HiPal, a graphical tool that talks to Hive and enables data discovery, query authoring, charting, and dashboard creation.”
Facebook plans to open-source prism soon but it is pretty urgent to start generating revenue from mobile in order to supplement the money it has lost in advertising. Will it succeed? We will see.
Jasmine Ashton, November 26, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
IntelTrax Summary November 16 to November 22
November 26, 2012
This week the IntelTrax advanced intelligence blog published some excellent pieces regarding the state of big data and analytics technologies.
“Diversity is the New Key for Analytic Success” looks at how Burberry is using analytics technology to analyze customer buying behavior.
The article states:
“SAP is pushing further in this vein and has this week announced its SAP Customer 360 transactional system which the firm says is being used by fashion retailer Burberry to analyse customer buying behaviour and provide on the floor sales staff with access to big data analytics on mobile devices. This “immediate information” is then (in theory) available to help these same staff personalise fashion advice to customers.
Do we really want this amount of technology in our lives?
SAP’s other Co-CEO Bill McDermott has predicted that by 2030 there will be an additional two billion consumers on the planet by 2030 and … “They want to purchase in the digital world,” he said.”
Another interesting story, “Big Data Moves Continue” announced some impressive news in the big data community.
The article states:
“Cray announced it was awarded a contract to deliver a uRiKA graph-analytics appliance to the Oak Ridge National Laboratory (ORNL). Analysts at ORNL will use the uRiKA system as they conduct research in healthcare fraud and analytics for a leading healthcare payer. The uRiKA system is a Big Data appliance for graph analytics that enables discovery of unknown relationships in Big Data. It is a highly scalable, real-time platform for ad hoc queries, pattern-based searches, inferencing and deduction.
“Identifying healthcare fraud and abuse is challenging due to the volume of data, the various types of data, as well as the velocity at which new data is created. YarcData’s uRiKA appliance is uniquely suited to take on these challenges, and we are excited to see the results that will come from the strategic analysis of some very large and complex data sets,” said Jeff Nichols, Associate Laboratory Director for Computing and Computational Sciences at Oak Ridge National Laboratory.”
“Big Data Expert Overlooks the Obvious” shares some interesting thoughts on the future of big data. However, it leaves out some pretty important things.
The article states:
“The goal of all the discussion around big data and data analysis is, as I’ve argued, not to make the wrong decision faster, but to develop the best decision at the right time and deliver the information to the people that most need the information. In an Information Week column Wednesday, Tony Byrne argued small data beat big data in the presidential election.
Call it business intelligence, data analysis or predictive analytics, IT’s role here is to provide a foundation for your company to make the right decisions. Those decisions might be what to charge passengers for seats on a flight, how much to charge to for a season ticket or how many widgets to create to strike the right balance among manufacturing costs, inventory and availability. These decisions are fundamental to business success.”
When it comes to finding big data intelligence solutions that work for your organization, it is important that businesses find a trusted provider. Digital Reasoning’s Synthesys helps streamline expenses for intelligence, healthcare and finance clients.
Jasmine Ashton, November 26, 2012
Sponsored by ArnoldIT.com, developer of Augmentext
PolySpot Generates ROI from All Forms of Data
November 19, 2012
Consulting company Deloitte released a new installment of Tech Trends called “Big Data Goes To Work.” It’s perfect timing for businesses that are understanding the complexity of big data – in positive and negative ways. Senior Vice President and CIO of Land O’Lakes Barry Libenson shares his company’s experiences in reigning in big data for ROI.
Unstructured and structured traditional data both carry weight when it comes to business intelligence. One group of data without the other does not inform business as comprehensively. Land O’Lakes has come to terms that both are imperative.
We learned more about the motivation for the big data push:
Demands for better information and more insights come from the business: finance wants profitability reports; the dairy business asks for improved forecasts; the seed division needs better information for the salesforce. You get the picture. We’re even analyzing satellite imaging data about individual farms and fields, and combining it with geological data to help farmers make seed choices that can improve their yield.
Land O’ Lakes may not know when they will need satellite imaging data about specific farms, but with the right business intelligence software and analysis by data scientists that data will amount to more than could be projected. Companies should look to information delivery experts like PolySpot for the greatest ROI.
Megan Feil, November 19, 2012
Sponsored by ArnoldIT.com, developer of Augmentext.
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