Applied Predictive Technologies

Applied Predictive Technologies
Type Private Ownership
Industry Software as a Service
Founded 1999 [1]
Founder(s)

Jim Manzi, Chairman[2]
Anthony Bruce, CEO[2]

Scott Setrakian, Managing Director[2]
Headquarters Arlington, VA[1]
Key people

Patrick O'Reilly, President & COO[2]

Andrew Fedorchek, CTO[2]
Employees 150
Website www.predictivetechnologies.com

Applied Predictive Technologies (APT) is a software company that provides business analytics software, designed to help large, consumer-facing businesses "reduce the risk of any new initiative by systematically testing the idea with a subset of stores, customers, or employees."[3] APT argues that using systematic testing enables companies to measure the true incremental impact of any new initiative.[4] It's "core value proposition is helping clients innovate more effectively through trial and error."[5]

Contents

History

APT was founded in 1999 by business consultanting executives Jim Manzi (Oliver Wyman), Anthony Bruce (McKinsey & Company), and Scott Setrakian (Oliver Wyman)[6]. Of founding APT, Manzi explained to The Washington Post that "a lot of the work I was doing as a consultant was very repetitive. I realized how much of it could be put into a software model.”[7] With venture capital from Devon Partners, it took Manzi and Bruce less than a year to develop and launch APT’s software tool. In 2006, the firm was acquired by Accel-KKR, a private equity firm[8].

APT is headquartered in Arlington, Virginia and has regional offices in San Francisco, London, and Taipei.[9]. Recently named one of the top 10 tech companies to watch in 2012 by American Banker,[10] APT's clients span a wide range of industries and include Abercrombie & Fitch, Wendy's, Starbucks, Subway, Kraft Foods, Royal Bank of Canada, and more than 40 of the Fortune 500[11][12].

Software

APT's software takes a statistically rigorous test and learn approach to business analytics, in which proposed changes are tried out on a small scale and then analyzed before being implemented everywhere. APT's approach is follows a larger business trend, evidence-based management, in which the scientific method is applied to business decision making. APT's software automates the cycle described by the Harvard Business Review[13]:

APT's software has been noted for its emphasis on ease of use in test design and analysis[13] and also for its ability to present both a high-level summary of a test and deep analysis of the specific attributes that affect performance in the test[12].

APT's Test and Learn for Sites software has been used for Wawa's tests on adding personnel[12], IHG's tests on capital upgrades and promotional offers[14], and Royal Bank of Canada's in-market tests on distribution operations strategies[15]. APT has also done work with Google in analyzing the impact of online advertising on bricks and mortar stores[16]. APT differentiates itself from competitors by offering a unique approach, emphasizing conducting tests to gather data instead of simply simulating it.

Competitors

APT's competitors consist of companies like SAS or JDA Software[17], which produce software that can be used for general business analysis. Such packages are typically broad in scope[13], focusing on overall statistical analysis rather than on test and learn experimentation specifically. APT's analytical tools also compete with market research companies such as Nielsen and Information Resources, Inc. and internal analysis tools (like the experiment management solutions that have been developed by companies such as eBay and CapitalOne[13]).

Products

APT sells a number of products, each focused on a particular area of analysis. Test and Learn for Sites is APT's flagship product. APT provides its products as web applications using the software as a service model: companies connect to APT's web servers using login information provided by APT, the computations are run on the servers, and options and results are displayed in the user's web browser[6]. APT's current products include:

See also

References

  1. ^ a b "Applied Predictive Technologies, Inc.: Private Company Information". BusinessWeek. http://investing.businessweek.com/research/stocks/private/snapshot.asp?privcapId=428083. Retrieved 18 September 2009. 
  2. ^ a b c d e "APT Management". http://predictivetechnologies.com/docs/company/management.cfm. Retrieved 18 September 2009. 
  3. ^ "Financial Times". http://www.ft.com/cms/s/0/ce421e4c-d590-11e0-9133-00144feab49a.html#axzz1frRzTTsA. Retrieved 7 December 2011. 
  4. ^ "Financial Times". http://www.ft.com/cms/s/0/ce421e4c-d590-11e0-9133-00144feab49a.html#axzz1frRzTTsA. Retrieved 7 December 2011. 
  5. ^ "The Washington Post: Helping Retailers See If Their Promotions Are Hits or Misses". http://files.parsintl.com/eprints/70425-E-print.pdf. Retrieved 7 December 2011. 
  6. ^ a b Hayes, Heather B. (May 2006). "2006 Fantastic 50: Applied Predictive Technologies". Archived from the original on 22 December 2009. http://web.archive.org/web/20080627192817/http://www.gatewayva.com/biz/virginiabusiness/magazine/yr2006/may06/fan50_apt.shtml. Retrieved 18 September 2009. 
  7. ^ McCarthy, Ellen. "Applied Predictive Technologies Makes Consulting Automatic." The Washington Post 20 August 2001. E5. Print.
  8. ^ "Accel-KKR Portfolio". http://www.accel-kkr.com/portfolio/portfolio.html. Retrieved 18 September 2009. 
  9. ^ "Bloomberg Business Week: Applied Predictive Technologies". http://investing.businessweek.com/research/stocks/private/snapshot.asp?privcapId=428083. Retrieved 7 December 2011. 
  10. ^ "Top 10 Tech Companies to Watch in 2012". http://www.americanbanker.com/btn/24_12/top-10-tech-companies-to-watch-1044375-1.html. Retrieved 7 December 2011. 
  11. ^ "APT Clients". http://predictivetechnologies.com/docs/clients/. Retrieved 18 September 2009. 
  12. ^ a b c Fleenor, D. Gail (June 2009). "These Tests Are Positive". STORES Magazine. http://www.stores.org/InformationTechnology/2009/06/Edit03.asp. Retrieved 18 September 2009. 
  13. ^ a b c d Davenport, Thomas H. (February 2009). "How to Design Smart Business Experiments". Harvard Business Review. 
  14. ^ "IHG Selects APT's Test & Learn Management System". 17 September 2009. http://emediawire.com/releases/2009/9/prweb2890054.htm. Retrieved 18 September 2009. 
  15. ^ "APT's Test & Learn Management System Selected by RBC to Conduct In-Market Tests". 5 October 2009. http://www.prweb.com/releases/2009/10/prweb2970844.htm. Retrieved 12 October 2009. 
  16. ^ "POS to O2S for ROI... The Evolution of Measurable Media Investments". Google Retail Advertising Blog. 24 August 2009. http://googleretail.blogspot.com/2009/08/pos-to-o2s-for-roi-evolution-of.html. Retrieved 18 September 2009. 
  17. ^ "APT Competitors". http://subscriber.hoovers.com/H/results/allCategories.html?documentsPerPage=4. Retrieved 8 December 20111. 
  18. ^ "APT Products". http://www.predictivetechnologies.com/en/index.cfm/solutions/retail/solutions/. Retrieved 7 December 2011. 

External links