The set of articles/ papers/ case studies will depict the ideas that we bring to the table when planning and developing analytics solutions for our clients. The detailed write ups are available for downloading.
Guiding Principle – CRISP-DM Methodology
CRISP-DM is an winning methodology for managing analytics projects. It provides equal emphasis on the business dynamics and technical knowledge in solving and managing a problem. It helps create the most appropriate solution as per the data assets available.
Cross Industry Standard Process for Data Mining
How a consumer service company has improved its offering by analyzing customer reviews?
How a consumer products enterprise has developed long term forecasts for the business segments using macro economic modeling?
How a grocery retailer has optimized its replenishment using daily demand forecasts?
How a set of time series regression has helped forecast business segments for a logistic management company?
Analytics as a ServiceHelp Reap the Benefits of Analytics Faster
SIBIA’s ‘Analytics as a Service’ model enables clients to embark on analytics journey without any upfront capex investment. SIBIA provides a complete end to end solution including softwares required, professional services, data management and solution hosting in the most cost effective manner. Client enjoys a pay as you go model for all its analytics needs.
Why adopt this model?
- Succeed faster and cheaper in your analytics journey!
- Complete project management outsourced
- Scale as you grow
- Pay as you go
- Flexible project model
SIBIA believes in growing along with its customers. In this endeavor, SIBIA proposes scalable analytics program management for its clients. It starts with a need based engagement start up with shared resource and focused consulting and professional services in the key areas where the benefits of analytics can be reaped faster.
A SIBIA relationship manager monitors the program, estimates the benefits and identifies the future growth options. The benefits reinvested in further analytics opportunities.