Contemporary applications of big data in business(6)

Bilal Hussain Malik

15/04/25

                            Contemporary applications of big data in business(6)

                         


                     A specialty US Retail Provider: Leveraging prescriptive analytics 

A US specialty retail supplier started modernizing its data platform to support real-time business decisions and tap the complete potential of prescriptive analytics. The company wanted to uncover discovered and undiscovered trends in sales, operations, and omni-channel retail performance by extracting greater value from the data being generated on different systems.

To address this challenge, we designed a new, scalable data solution that centralized the client's data through the integration of a data lake and a data warehouse. This enabled faster and more effective access to insights. The solution was also integrated fully with key business systems, including the Order Management System (OMS), Customer Relationship Management (CRM), Google Analytics, Salesforce, and the inventory system. In addition, the information was organized to enable future applications of machine learning algorithms, preparing the retailer to move into predictive and prescriptive analytics.

With this transformation, the customer gained real-time access to their data—something that had been a key priority for decades. They were able to execute a wide range of reports, dashboards, and visualization that gave them more insight into business performance. In some cases, the retailer even achieved real geographic insights into in-store spending, enabling more local and timely decision-making.

Reference:https://systems-plus.com/8-case-studies-and-real-world-examples-of-how-big-data-has-helped-keep-on-top-of-competition/


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