Challenges
Sales data was scattered across Oracle and SQL databases, making it difficult to unify and analyze effectively.
The company required a structured approach to track a range of sales KPIs, including revenue, sales growth, customer acquisition, and conversion rates.
Generating insights required time-consuming manual reporting, delaying data-driven decisions and slowing response to market trends.
Sales teams needed instant access to performance metrics to manage targets and identify opportunities, but limited reporting automation hindered real-time insights.
Solution
Built a centralized data warehouse using Azure Synapse to consolidate data from Oracle and SQL databases, creating a unified platform for sales analysis.
Developed ETL pipelines to pull data from both Oracle and SQL sources, transforming it to align with sales KPIs and business logic requirements.
Defined and implemented essential sales KPIs, including revenue growth, customer acquisition cost, average order value, and win rates, providing a detailed view of sales performance.
Created interactive Power BI dashboards to track and visualize sales KPIs, enabling the sales team to monitor performance and make informed, timely decisions.
KPIs and Metrics Created
Monitored overall revenue generation, providing a top-level view of financial performance and trends.
Calculated growth rate over various periods to assess the company’s sales trajectory and identify growth patterns.
Tracked the cost of acquiring new customers, helping to evaluate marketing and sales efficiency.
Measured the average revenue generated per order, indicating customer buying behavior and the effectiveness of sales strategies.
Analyzed the ratio of successful deals to total deals, helping gauge sales team effectiveness and identifying areas for improvement.
Tracked the rate of converting leads into customers, supporting lead quality assessments and sales process optimization.
Calculated the percentage of repeat customers to assess brand loyalty and the effectiveness of customer engagement strategies.
Measured the average time taken to close a deal, providing insights into sales process efficiency and potential bottlenecks.
Monitored sales across different regions and product lines to identify top-performing areas and opportunities for growth.
Value Delivered
By consolidating data from Oracle and SQL into a centralized warehouse, DataDrona enabled the company to access unified sales data, facilitating a complete and real-time view of performance.
With a range of sales KPIs in place, the company could accurately track key performance metrics, improving visibility into sales trends, customer acquisition, and growth opportunities.
The Power BI dashboards empowered sales teams with instant access to their KPIs, making it easier to manage targets, respond to market dynamics, and optimize strategies based on data.
Automated data transformation and reporting processes reduced time spent on manual report generation, enabling more agile, data-driven decision-making across sales operations.
Conclusion
Through DataDrona's solutions, the Sales team gained a robust, integrated platform that not only unified sales data from Oracle and SQL but also provided insightful KPI tracking to drive performance. This data-driven approach helped the company optimize sales strategies, improve efficiency, and capitalize on growth opportunities.