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SpeedTrack Tech Overview 2015

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Michael Zoltowski

SpeedTrack has developed revolutionary software that eliminates barriers to data integration, analytics, and insights. Their technology validates insights with customers through SaaS products and custom solutions. SpeedTrack is launching into markets with a need for solutions that liberate information from disparate data silos. Their Guided Information Access interface provides an intuitive window into scalable ad-hoc discovery of actionable insights, driving more efficient operations, better decisions, and competitive advantage. SpeedTrack offers benefits over relational databases like unlimited analytics dimensions, scalability, and visibility into all data values and associations.

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EMPOWERING ENTERPRISE THROUGH AUGMENTED CURIOSITY “We cannot solve our problems with the same thinking we used when we created them.” Albert Einstein
SpeedTrack, Inc. is a technology company with significant scientific and R&D experience that has developed, patented and brought to market revolutionary software. This technology eliminates the structural barriers associated with conventional data integration, analytics, mining and reporting to release actionable insights to the masses. The commercial application and benefits of the technology have been validated with customers with both SaaS products and on premises custom solutions, demonstrating a system with near limitless possibilities in search, analytics, discovery and prediction. SpeedTrack is launching into markets that are screaming for solutions that liberate actionable information from the vast disparate data silos. Introduction ST
PORTFOLIO • A data management system SpeedTrack is Not • Another me-to business intelligence/ analytics OLAP cube • An open source base application with SQL query tools • A data warehouse solution for integrating disparate databases • Visualization or reporting tool for displaying results for your BI/BA application
Hit The Ground Running With SpeedTrack Prototype in Weeks No 3rd party software and consultants required • On-The-Fly Ad Hoc discovery • Easy data import - any data source • No need for product integration • Turn passive data into business drivers • Confidential data never leaves your environment • So intuitive - little to no training required • High Value/Low cost scalability 4
The Problem: Too much data, Too little information, Too much friction The Solution: Eliminate structural barriers to information 5 Metric: Total Time to Information Goal = Immediate
New Paradigm Information Navigation • Value is in the Information • Associations Define Information • Independent of Data Structure • No Knowledge of Data Required • Guidance Enables Discovery • Scalable n-Dimensional Ad Hoc • Freely Merge Information 6 Conventional IT Store & Query Data • Focus on Storing Data • Dependent on Data Structure • Must Know What to Query • n-Dimensional Ad Hoc is not Practical • Integration is a Challenge True Paradigm Shift From Data To Actionable Information “We cannot solve our problems with the same thinking we used when we created them.” Albert Einstein
Guided Information Access (GIA) A Window to Your Information Scalable Ad Hoc Insight Discovery Improved Access to Actionable Insights Drive: More Efficient Operations Better Decisions Increased Profit Margins Competitive Advantage Real time Informed Decisions How they are associated What their frequency is Every Word In every sentence Every Value 7
TIE/GIA Platform Eliminates Costly/Restrictive Processes
TIE: Inexpensive, Flexible, High Value Platform That Everyone Can Use Extract All Positive Associations (light implementation set-up required) from ALL Data Sourcestext Legacy Data Databases Oracle, SQL, DB2, etc... Text Files/Documents/ Machine data • Structured • Un-structured • Semi-structured ANY Source DATA • File Management • Data Integration/Mapping • n-Dimensional Ah-Hoc Search Capability TIE Server Association Matrix GIA: Guided Search UI • Easy to Use, Intuitive • Fast, Saves Time • Guides User to Information They Might Otherwise Miss text text text Query Against Matrix Not Data
So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology Relational Database SpeedTrack Benefits Data Storage Requires well defined data structures handled through fixed data schemas. Difficult to integrate disparate data and hybrid data (text). Not dependent on any set data structure. No unique schemas required. Handles all forms of data. Data can be stored anywhere does not have to be local. Easy to integrate disparate data. Universal way to handle all data types. Search Allows ANY query to be run, searches the database to try and return set of records that match. Extremely CPU intensive and slow for ad-hoc queries. Impractical to make queries intelligent. IT expertise needed to write ad-hoc queries. Most ad-hoc = no results found or millions of results no intelligent way to marrow results w/o re-running query. Does not need to perform any searches. All possible searched terms are referenced as addresses of their locations. Lay user generated ad-hoc queries. Step-By-Step reductive search method. a. 100% guaranteed relevant search result b. Guided navigation displays remaining search terms which enables user to further refine search results. c. Complex Boolean queries created with a simple mouse clicks.
Relational Database SpeedTrack Benefits Data Cubes for Analytics Require special procedures (called building the data cube) and applications for On Line Analytical Processing (OLAP) to analyze data using a number of fields or dimensions. Limit is typically 6-7 before exponential size growth limits practicality The Associative Matrix can handle a practically unlimited number of fields or dimensions for simultaneous analysis. Solves n-dimensionality problem for BI/BA analysis. Eliminates the need to build and maintain dozens of OLAP cubes to handle high dimensionality. Greatly reduces cost and maintenance. Unmatched performance for large number of dimensions. Scalability for Analytics Inherent limitations cause cube size storage to grow exponentially, making dimensions above 10 for large data sizes impractical approaching petabytes. Stores all data that is needed to create the search results. The Associative Matrix stores only POSITIVE search combinations. The result is a solution to the Curse of Dimensionality or n-dimensional problem. Enables a single high (100’s) dimensional cube which scales linearly rather than exponentially. Make previously impossible analytics possible at low cost. So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology
Relational Database GIA Benefits Text Navigation Not designed to efficiently handle text searches and navigation. Possible key word searches but highly inefficient. No way to “see” all the associated documents and search terms. Same search platform as GIA structured data. Powerful Boolean text searches. Guided navigation provides insight into ALL words in every document, e-mail, report, text file, etc. Search by keywords, words in a sentence, subject/title. Allows for easy generation of complex search queries by lay users Alternatives Data Visibility and Data Discovery No inherent visibility into the contents of the database. Only top level field headings. Visibility into every value of every field contained within the data. User has the unique ability to see every search alternative and every data association contained within the data population. The results in discoveries of hidden associations and interaction between data dimensions which cannot be seen otherwise. So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology
What We Offer 13 • n-dimensional Ad-Hoc capability • Cloud or “On Prem” • Interactive dashboards, reports, mapping • Scalability • Minimum footprint/low cost/low maintenance • Rapid implementation time • No 3rd party licenses or outside support required • Minimizes Total Time to Information (TTI)
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SpeedTrack Tech Overview 2015

  • 1. EMPOWERING ENTERPRISE THROUGH AUGMENTED CURIOSITY “We cannot solve our problems with the same thinking we used when we created them.” Albert Einstein
  • 2. SpeedTrack, Inc. is a technology company with significant scientific and R&D experience that has developed, patented and brought to market revolutionary software. This technology eliminates the structural barriers associated with conventional data integration, analytics, mining and reporting to release actionable insights to the masses. The commercial application and benefits of the technology have been validated with customers with both SaaS products and on premises custom solutions, demonstrating a system with near limitless possibilities in search, analytics, discovery and prediction. SpeedTrack is launching into markets that are screaming for solutions that liberate actionable information from the vast disparate data silos. Introduction ST
  • 3. PORTFOLIO • A data management system SpeedTrack is Not • Another me-to business intelligence/ analytics OLAP cube • An open source base application with SQL query tools • A data warehouse solution for integrating disparate databases • Visualization or reporting tool for displaying results for your BI/BA application
  • 4. Hit The Ground Running With SpeedTrack Prototype in Weeks No 3rd party software and consultants required • On-The-Fly Ad Hoc discovery • Easy data import - any data source • No need for product integration • Turn passive data into business drivers • Confidential data never leaves your environment • So intuitive - little to no training required • High Value/Low cost scalability 4
  • 5. The Problem: Too much data, Too little information, Too much friction The Solution: Eliminate structural barriers to information 5 Metric: Total Time to Information Goal = Immediate
  • 6. New Paradigm Information Navigation • Value is in the Information • Associations Define Information • Independent of Data Structure • No Knowledge of Data Required • Guidance Enables Discovery • Scalable n-Dimensional Ad Hoc • Freely Merge Information 6 Conventional IT Store & Query Data • Focus on Storing Data • Dependent on Data Structure • Must Know What to Query • n-Dimensional Ad Hoc is not Practical • Integration is a Challenge True Paradigm Shift From Data To Actionable Information “We cannot solve our problems with the same thinking we used when we created them.” Albert Einstein
  • 7. Guided Information Access (GIA) A Window to Your Information Scalable Ad Hoc Insight Discovery Improved Access to Actionable Insights Drive: More Efficient Operations Better Decisions Increased Profit Margins Competitive Advantage Real time Informed Decisions How they are associated What their frequency is Every Word In every sentence Every Value 7
  • 9. TIE: Inexpensive, Flexible, High Value Platform That Everyone Can Use Extract All Positive Associations (light implementation set-up required) from ALL Data Sourcestext Legacy Data Databases Oracle, SQL, DB2, etc... Text Files/Documents/ Machine data • Structured • Un-structured • Semi-structured ANY Source DATA • File Management • Data Integration/Mapping • n-Dimensional Ah-Hoc Search Capability TIE Server Association Matrix GIA: Guided Search UI • Easy to Use, Intuitive • Fast, Saves Time • Guides User to Information They Might Otherwise Miss text text text Query Against Matrix Not Data
  • 10. So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology Relational Database SpeedTrack Benefits Data Storage Requires well defined data structures handled through fixed data schemas. Difficult to integrate disparate data and hybrid data (text). Not dependent on any set data structure. No unique schemas required. Handles all forms of data. Data can be stored anywhere does not have to be local. Easy to integrate disparate data. Universal way to handle all data types. Search Allows ANY query to be run, searches the database to try and return set of records that match. Extremely CPU intensive and slow for ad-hoc queries. Impractical to make queries intelligent. IT expertise needed to write ad-hoc queries. Most ad-hoc = no results found or millions of results no intelligent way to marrow results w/o re-running query. Does not need to perform any searches. All possible searched terms are referenced as addresses of their locations. Lay user generated ad-hoc queries. Step-By-Step reductive search method. a. 100% guaranteed relevant search result b. Guided navigation displays remaining search terms which enables user to further refine search results. c. Complex Boolean queries created with a simple mouse clicks.
  • 11. Relational Database SpeedTrack Benefits Data Cubes for Analytics Require special procedures (called building the data cube) and applications for On Line Analytical Processing (OLAP) to analyze data using a number of fields or dimensions. Limit is typically 6-7 before exponential size growth limits practicality The Associative Matrix can handle a practically unlimited number of fields or dimensions for simultaneous analysis. Solves n-dimensionality problem for BI/BA analysis. Eliminates the need to build and maintain dozens of OLAP cubes to handle high dimensionality. Greatly reduces cost and maintenance. Unmatched performance for large number of dimensions. Scalability for Analytics Inherent limitations cause cube size storage to grow exponentially, making dimensions above 10 for large data sizes impractical approaching petabytes. Stores all data that is needed to create the search results. The Associative Matrix stores only POSITIVE search combinations. The result is a solution to the Curse of Dimensionality or n-dimensional problem. Enables a single high (100’s) dimensional cube which scales linearly rather than exponentially. Make previously impossible analytics possible at low cost. So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology
  • 12. Relational Database GIA Benefits Text Navigation Not designed to efficiently handle text searches and navigation. Possible key word searches but highly inefficient. No way to “see” all the associated documents and search terms. Same search platform as GIA structured data. Powerful Boolean text searches. Guided navigation provides insight into ALL words in every document, e-mail, report, text file, etc. Search by keywords, words in a sentence, subject/title. Allows for easy generation of complex search queries by lay users Alternatives Data Visibility and Data Discovery No inherent visibility into the contents of the database. Only top level field headings. Visibility into every value of every field contained within the data. User has the unique ability to see every search alternative and every data association contained within the data population. The results in discoveries of hidden associations and interaction between data dimensions which cannot be seen otherwise. So What? TIE/GIA Benefits SpeedTrack vs. Relational Database Technology
  • 13. What We Offer 13 • n-dimensional Ad-Hoc capability • Cloud or “On Prem” • Interactive dashboards, reports, mapping • Scalability • Minimum footprint/low cost/low maintenance • Rapid implementation time • No 3rd party licenses or outside support required • Minimizes Total Time to Information (TTI)