The Retail client is an esteemed Footwear retailer based in the United States. With a wide range of offerings, ranging from formals, casual, daily wear, sportswear and party wear.

The client wanted to an on-premises solution for its sales reporting structure to generate rich iterative as well as precisely formatted reports, visually explore huge data and quickly discover patterns to make quicker decisions.

ClientRetailServicesPower BI, Big Data, Azure, Business intelligenceYear 2023

Key Challenges

  • Monthly static reports were generated by internal team members for various work streams, including order entry, inventory, and point-of-sale (POS) systems.
  • The generation of the gross sales report was not possible as the data was unstructured and inadequate modernization of infrastructure
  • The client faced challenges in maintaining a central repository within their traditional IT infrastructure system due to the constant influx of information from different regions.‚Äč
  • The utilization of tools such as SQL, SAP, data sets, and spreadsheets for data sorting has hindered the organization’s growth and success.
  • The customer wanted the ability to rapidly produce comprehensive reports in a variety of formats, to visually analyze massive data sets, and to spot patterns in order to act decisively and efficiently.

Solution

  • Our Power BI consultants used the Microsoft Power BI tool to deliver visually appealing and interactive dashboards that the client’s operations staff could use to become more self-sufficient.
  • To cut down on processing time and save money, we scale up our Azure SQL Server Database service as needed during data processing.
  • Our solution incorporated a wide range of data analytics capabilities, including ETL (Extraction, Transformation, and Loading), data cleansing, filtering, and deduplication.‚Äč‚Äč‚Äč‚Äč
  • The platform is also capable of performing Unstructured, Structure Data Handling & Data Modelling while also providing futuristic insights & visualization from the data
  • Built a cloud-based predictive analytics platform using Node JS, React, Mean JS, Firebase, and Elastic Search to detect and forecast patterns in real-time across several big data sources, including social media analytics.‚Äč
  • Using full-stack technologies like Node, Angular, React, React Native, and ELK, we built a platform for customers to access, explore, and visualize their Hadoop data. Customers can analyze their data with numerous pre-built visualizations, AI and ML algorithms, and the aforementioned tools.‚Äč

Benefits

  • The customer was able to consolidate its massive data set, link to hundreds of data sources, streamline data preparation, speed up the production of sales reports, and fuel ad hoc analysis with the help of our Power BI solution and IT modernization.
  • Through shared interactive visualizations, it enabled the customer to communicate with the sales staff located in multiple regions while immediately identifying sales trends to improve business plans.
  • The customer was able to develop month-to-date, quarterly, and annual time-intelligent reports based on the available actual and target data thanks to the Power BI model and reports.
  • Business intelligence (BI) gross sales statistics based on customer actions, product demand, and brand recognition might be generated rapidly.