The customer is one of the biggest retailers in the world, running a chain of grocery stores, cheap department stores, and hypermarkets all over the world.

When it comes to corporate profitability and leadership, the significance of data, its accuracy, and its availability when and when needed cannot be overstated. Getting as near to the data as you can become even more important for a business that operates on a huge scale. That is why our client approached us. 

Large internal user bases, a variety of platforms, and isolated data islands started to put a strain on the entire data analysis process, leading to erroneous conclusions, bad business decisions and missed market possibilities. To give the client’s over 1 million internal users hassle-free on-demand data access, our team was tasked with building an AI-driven big data and self-service business intelligence platform.

• Created an intuitive custom online gateway to enable a 360-degree view of all data sources and data available in any format (Excel spreadsheets, invoices, PDFs, text files, databases, etc.) across the entire enterprise.
• Created a self-service BI platform to enable business users to evaluate data and produce intricate ad-hoc reports.
• Established a master data repository to act as the definitive source of information for all organizational data.
• Collected and connected petabytes of data from various systems to eliminate data silos and ensure consistency across data sources.
• Enabled features for data cleansing by developing solutions that could identify and rectify any wrong, incomplete, or irrelevant data. Then, the internal team can replace, edit, or remove the soiled or coarse data records from the original data sources.
• Implemented role-based access control solution to take care of data security
• Created functionalities for graph data structures, a state-of-the-art technique that is highly effective at handling huge networks of links and processing deep and sophisticated queries quickly.
• Created a specific, much simpler than SQL dialect that is near to natural language to make search simple even for unskilled people
• Ensured successful integration with important data sources and systems enterprise Data Lake, Slack, Zoom, Atlassian Stack (Confluence, Jira), Office 365, Active Directory, SAP, Microsoft Exchange, etc.
• By simultaneously querying several data sources, the Report Builder functionality enables business users to produce complicated reports and share them.
• Developed a straightforward API that provides the option to create unique applications and integrate internal systems speeding up data collection.
• Limited access to resources in the graph based on a user’s job, and role-based security in graph databases to assure the protection of sensitive data.

• All previously inaccessible data is now accessible to 1 million internal users in a comprehensive manner.
• Self-service data analytics platforms enable corporate users who lack the technical expertise to independently filter, sort, analyze, and visualize data.
• In only a few clicks, business users can receive timely and useful insights to make decisions that are based on data rather than intuition.
• The majority of routine reports can now be created without involving the Data Analytics teams.
• Presentation of data in multiple dimensions reveals previously unknown linkages between seemingly unrelated facts.
• The heavily loaded system can currently handle 10k requests per second and 7-8 million requests per day.
• The big data platform significantly reduces the time and effort needed to gather and analyze data, opening up new market opportunities and enabling more rapid and informed business decision-making.
• For any internal application created using the API, accurate and pertinent data is delivered.