InjectiX 1.5 is an Analytics Automation Workbench for the Enterprise (AAWE). With InjectiX 1.5, Mu Sigma goes far beyond conventional tactical analytics in terms of the choice of analytical models, industry methodologies and replicability across similar functions in different parts of your enterprise.

InjectiX gives you the ability to model business problems in various analytical functions such as Marketing, Finance, Operations, and R&D, and provide reliable, scalable, seamless analytical solutions. InjectiX helps you crunch the time and cost of doing tactical analytics to allow you to apply analytics where you otherwise didn’t have the time or budget for.

Key features of InjectiX:

• InjectiX is an Analytics Automation Workbench for the Enterprise (AAWE)
• Includes many Components for usage: ex: SQL, Excel, R, and SAS to name a few
• Technology Agnostic, Think Component Middleware (Glue)
• Industry and function specific automation & Re-Usable Templates placed into the Mu-Sigma Repository
• Helps create rich analytics vehicles customized by client

How it works:

InjectiX 1.5 currently has the building block templates to solve tactical analytics business problems in 4 different industry clusters:

• Retail/CPG/Media
• Pharmaceutical/ Healthcare
• Banking/Fin Services/ Insurance
• Transportation and Logistics

Technology

Injectix is built on the principle of platform independence, leveraging a combination of open source and sophisticated third-party components. Injectix is designed to be installed on all platforms, including the Microsoft stack, SUN Solaris stack, HP-UX stack, IBM AIX stack and all Linux stacks. Injectix has a light footprint on system resources, allowing it to be used efficiently in virtualized environments and servers. Following the footsteps of Web 2.0, Injectix is also capable of being implemented as SaaS (Software as a Service).

Some components used in Injectix: JBoss JBPM as middleware, Postgres database, Scheduling using Apache-Quartz/ESB, , JAAS for security, Visualization through Adobe Flex, R and SAS for advanced statistical processing.

Engagement model:

InjectiX will require significant initial support for it to be set up in your environment. Mu Sigma’s consultants and analysts will guide you through a standard implementation process with these stages:

Industry specific functional objectives assessment

1. Industry specific basic template review
2. Existing process and analytical techniques review
3. Client specific best practice capture
4. Proto Design approval by stake holders
5. Pilot
6. Full implementation
7. Period review

Case Studies (coming soon …)

• Sales forecasting by means of estimating market share gain for new drugs
  - Segmentation, discrete choice models, response models

• For a Large Company we optimized Search Engine Marketing thru an ensemble of automated predictive methods that supported the optimal budget allocation of the Google budget
  - Models Such as: GLM, GAM, NNET, and RandomForest | Refreshed Daily
• Created Automated Price Elasticity Estimates on a Weekly Basis and Updated into an Operational database for a Revenue Management Team
• Provided Real Time updates to an E-Commerce Dashboard
• Optimized Outbound Emails Thru: Design of Experiments, Daily Discrete Choice Estimation and Delivery of the Rendered Email via XML
• Automated Scoring of Customer Metrics and Insertion into an Operational Database for a Large Loyalty Program