Snapshot: Taking an incremental approach to applying data analytics created a sustainable model that provides customer insights that deliver great experiences.
A large lifestyle and fashion retailer was sitting on a gold mine of customer feedback. They had enormous amounts of data but struggled to convert it into meaningful insights. Their customers had expectations that they were not able to quickly decipher or take action on. This situation could lead to a disconnect between the company and their customers creating a risk of diminished loyalty or increased attrition.
Altimetrik Data and Analytics team was engaged to bring structure to the data and derive meaningful insights that could help the client make informed decisions. Our team of data practitioners built a platform to structure the data, create a single source of truth, and based on various relevant parameters enable visualization for various stakeholders to drive decisions on customer service and product offerings. This led to the creation of loyalty programs and various other tailored customer initiatives.
25% increase in customer satisfaction
Higher customer foot traffic in stores through efficient and targeted marketing campaigns
Tailored loyalty programs led to increased word of mouth referrals
Stronger brand portfolio to better suit the target demographic
Gleaning Actionable Insights from Customer Feedback
Altimetrik Data and Analytics team took up the task to ensure that data collected across all touchpoints, channels, and areas into a standardized set of information and structures. Our focus and approach to developing data analytics started with data governance as a basis for a larger data solution. Therefore, improving the trust in data by implementing robust cleansing and data quality gates was foundational to making the data usable for development.
We began with a program to correlate their transaction processing (ERP) and feedback collection systems. Then, we built a data mart layer with SAP BW (for ERP data) and Sybase Platform (for MySQL sources). Using a BO universe semantic layer, we aggregated the data mart information for unified analytics solutions providing actionable intelligence. Given the extreme complexity of the system, we piloted with two stores to prove the model. Once we validated the approach, we scaled it quickly to cover the client’s entire network.
Customer feedback became more clear and intelligible, which led to the creation of multiple targeted marketing campaigns and tailored loyalty programs and a strong brand portfolio. We measured a significant increase in customer satisfaction and store foot traffic within a very short period. Having the data and insights made it possible to increase data-based decisions and improved customer satisfaction.
Vipul ValamjeeSenior Engineering Leader – Product and Platform Engineering
Understanding customer feedback in real-time is the best outcome a business can achieve, especially in the B2C sector. The challenge is to make humongous amounts of unstructured data flowing through countless sources intelligible and insightful. Altimetrik Data and Analytics Platform are posited to solve this challenge for organizations. We are helping several companies delight their customers by navigating through the data maze and discovering the power of data-driven ideas and decisions.