Big Data Analytics Roadmap
This corporation is one of the nation’s oldest and largest retailers in the U.S. This iconic firm is on the front lines of the dramatically changing retail landscape, and has embarked on an aggressive business strategy to acquire, retain, and build more customers. Their current data warehouse had shown significant data growth over the past several years under their current business process.
To meet their overall goal to increase wallet and market share, this firm knew it required a new approach to rapidly integrate vast amounts of point of sale, marketing and financial data into a single, high-performance analytical platform. When the marketing and finance departments jointly sponsored a project to provision real-time, point of sale cross-sell and up-sell offers to customers as they shopped in the firm’s retail outlets, their new real-time marketing capabilities threatened to stress the environment’s operations and cost structure to an unmanageable state.
Methodology and Solution
CBIG was engaged to assess the impact of this real-time marketing program on the current data warehouse environment and then develop a big data analytical strategy and implementation roadmap. This included review and validation of their big data tools and technologies, data and application architectures and deployment approach.
The CBIG team worked with executives from both the IT and sponsoring business units to develop a big data plan that would achieve the business goals on-time and within budget. The strategy and architecture roadmap is a technology platform and data architecture that leverages the firm’s current technology investments and integrates new technologies into a flexible, cost-effective, and highly scalable information management program.
This corporation has rolled-in the big data strategy output as a part of an overall enterprise initiative. They are highly confident of emerging with the right result sets from the roadmap to capture not only new sales, but to build customer loyalty to the brand and recapture lost market share.
One of the nation’s oldest and largest retailers.
Real-time marketing requiring a high-performance big data analytics environment.