Megaputer Intelligence was honored to receive the 2016 Technology Innovation Award for Best Text Analytics Platform. To be recognized by experts and authors that are working hard to provide quality information to key leaders who make the tough decisions is wonderfully gratifying. The great thing about any recognition for Megaputer’s PolyAnalyst software platform is that much of its quality features are user-driven via submitted requests of ideas and challenges. We thank our users and everyone who participated in the nomination process for this award. We plan to continue to break-ground and become the most influential data & text analytics platform out there!

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One of the major roles TMT News plays is to feature key players, individuals, and firms that have provided the world with cutting-edge techniques within these sectors. And so the annual Technology Awards was created to cast a spotlight on those who have provided firms with an invaluable reach to clients and customers in all areas of the world.

The 2016 Technology Award for “Best Advanced Analytics Platform” credits Megaputer Intelligence with providing  a powerful data and text mining software tool that has taken analytics to the next level. Megaputer was greatly honored by this award for version 6.5 of the PolyAnalyst software platform. We truly are seeking to fundamentally evolve the business world and the lives of our consumers and customers for years to come.  We thank our fantastic customers and all those who nominated us for this award. Help keep making us better!

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TechPoint gave acclaim to Megaputer for advanced text analytics solutions implemented for a client that wanted to improve the quality of service provided to end-customers. The client was evaluating 2.5% of all textual messages exchanged between its 400+ associates and end-customers whereas it required the ability to perform fast, accurate, consistent, and transparent analysis of all such messages. Additionally, the client sought the generation of associates’ performance scorecards that managers at all levels could view and interact with.

Megaputer developed and implemented APMS using PolyAnalyst™, its proprietary data mining and text analytics software. The solution evaluated 100% of online dialogues simultaneously providing dramatic time and cost savings. APMS delivered aggregated scorecards, which could be drilled down to individual messages, in an easy to comprehend form to managers at different levels. The increased transparency helped the client discover and solve the previously hidden issues, thus improving the quality of information provided to end-customers. Consequently, the number of customers willing to recommend the client increased by 7%.

About Megaputer Intelligence

Megaputer Intelligence (www.megaputer.com) is a leading developer of data and text mining software. The company provides tools and solutions for predictive modeling and knowledge discovery within large volumes of data and text. Its analytical tools enable over 500 customers worldwide to make informed data-driven decisions.

About TechPoint

TechPoint (www.techpoint.org), connects, catalyzes, and evangelizes Indiana’s tech community. It helps attract talent, accelerates growth companies, and writes stories about companies, people, and events in the tech sector.

Megaputer and PolyAnalyst are registered trademarks of Megaputer Intelligence Inc. in the United States and/or other countries. The names of other companies and products mentioned herein may be the trademarks of their respective owners.

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As a services company, EDS people are the key element of the company. Whereas software, hardware, and systems companies offer value mainly through products, services companies like EDS serve clients through people. The knowledge, skill, and experience of employees are the lifeblood of the company. As such, all corporate goals have important workforce components, such as change management and continuous re-skilling. In addition, maintaining the values of the company is an ongoing workforce priority.

Central to maintaining an effective workforce, is employee feedback. EDS leaders use a variety of forums to engage in constant dialog with employees. One mechanism for feedback is the EDS employee survey program.

The EDS survey program includes an annual survey, the Voice of the Employee (VOE) survey, in which all employees world-wide are invited to participate. Additional surveys are implemented three to four times a year. Called Pulse Surveys, these additional surveys are sent to stratified samples of employees across the company.

Historically, employees were providing responses to scaled questions on surveys, which delivered quantitative results along several variables such as leadership, communication, and the work environment. This data was analyzed and interpreted using traditional tools.

Since 2003, open-ended questions have been added to employee surveys. Text generated from open-ended questions offers a broader, richer source of information than do scaled questions alone.

Unstructured text data, of course, presents new challenges as well. Initially, text comments from open ended questions were processed manually. Teams of employees reviewed the text then coded each record into one or more topics. Inter-rater reliability was maintained by having several employees code a portion of the text, then comparing the results. After the coding process, summaries and examples were created and reported to EDS senior leaders for follow-up action.

While the value of text comments for improving organizational effectiveness was unquestioned, two problems persisted. First, the process was slow. Whereas survey reports of quantitative survey data were available a few weeks after a survey closed, text comment reports lagged by months. Moreover, the process at times involved more than a dozen employees. From a productivity standpoint, the slow, manual process could not be sustained.

Second, the manual coding process was difficult to adjust to varying situations. For example, if a topic became too broad to be meaningful (e.g. “unit-level communication”), a principled subdivision was difficult to achieve. At the other extreme, a single, widely-distributed comment (e.g. “many emails contain redundant information”) was difficult to link to higher-level topics.

By 2005, EDS survey analysts set three high-level goals for analyzing text comments. First, cycle time must be reduced to allow text and quantitative data to be reported at the same time. Second, the resource requirement must reduce from dozens of employees to one person. Third, the new approach must be scalable to a wide variety of projects.

To view the full document, please download the PDF: Full Nomination (PDF)

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X-SellAnalyst™ is the analytical engine behind the document suggestion system that provided real time product recommendations and enhanced cross selling opportunities even in a rapidly evolving product portfolio.

According to existing customers, X-SellAnalyst can be implemented within about three weeks in a call center and six weeks – in an e-commerce operation. In a typical customer implementation, X-SellAnalyst generates a 5-8% increase in sales and pays for itself within two months. “An increase in IHS sales resulting directly from the implementation of Megaputer X-SellAnalyst solution in our e-Commerce operation [www.global.ihs.com] amounts to 5.75% of online sales,” says Jaren Green, Online Marketing Manager at IHS.

X-SellAnalyst requires virtually no manual maintenance and delivers objective purchase recommendations based on the analysis of historical transactions. X-SellAnalyst can learn purchasing patterns from data originating from walk-in stores and utilize the discovered knowledge for increasing customer utilization in e-Commerce environment. The system provides a very quick and easy implementation, as it can work with data residing in any SQL-compatible source and does not require user-entered business rules for its operation. The system readily scales to millions transactions and SKUs, as its robust learning algorithms generate recommendation rules on-the-fly instead of storing overwhelming amounts of rules statically inside the system.

To learn more about X-SellAnalyst please visit http://www.megaputer.com.

About DM Review

DM Review is recognized as the premier business intelligence, analytics and data warehousing publication. For more than a decade, DM Review has provided thought-provoking and informative editorial covering strategic solutions across for business intelligence, analytics, data warehousing and CRM across all major industries. DM Review’s authors and columnists are internationally recognized experts in a variety of business intelligence fields. DM Review editorial provides both business and technology perspectives regarding issues, trends and solutions of interest to corporate executives and IT managers.

About IHS

IHS Engineering is the leading worldwide provider of technical standards, specifications, logistics and parts information to corporations. IHS Group has annual sales in excess of $400 million and employs over 3,000 people worldwide. IHS Group is one of Colorado’s top-15 private companies and a top-50 Colorado private-sector employer.

About Megaputer Intelligence

Founded in 1993, Megaputer is a leader in business intelligence software. The company provides a family of applications and solutions that support business decisions and drive profitability. Megaputer offers best-of-breed tools for both data and textual analysis that reveal knowledge hidden in data warehouses, text-bases, and web traffic, and improve CRM, targeted database marketing and personalized e-business. Megaputer products are used by over 300 customers including EDS, Market America, Mars, Taco Bell, 3M, Chase Manhattan, Allstate Insurance, McKinsey, US Navy, DynCorp, NIH, Siemens, and France Telecom.

Megaputer and X-SellAnalyst are registered trademarks of Megaputer Intelligence Inc. in the United States and/or other countries. The names of other companies and products mentioned herein may be the trademarks of their respective owners.

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