Pharmaceuticals
India
End to End Project Lifecycle Management
During our discussions, it became clear that these challenges were preventing the company from achieving optimal performance. Here are the key issues we identified:
Sales Data Capture Across Channels
Our client needed a solution to capture and manage sales data from three key channels: B2B, Modern Trade, and e-commerce. The goal was to create a unified approach to consolidate and track sales performance across these varied platforms.
Unstructured Data in Pharma Divisions
Certain pharma divisions, including Netmeds, were dealing with unstructured data that hindered analysis and insight generation. The client needed a robust data structuring system to convert raw data into actionable information.
Need for Data Analysis Infrastructure
A comprehensive system was required to organize and structure this unorganized data, enabling efficient analysis and real-time reporting. This system would serve as a foundation for strategic decision-making.
Our experts implemented the following steps to manage and optimize sales data across B2B, Modern Trade, and e-commerce channels.
Excel to SharePoint via Cloud
Our team developed a centralized system using Excel integrated with SharePoint to consolidate sales data from B2B, Modern Trade, and e-commerce platforms. This approach ensured more accurate and efficient data capture across the platforms.
ETL (Extract, Transform, Load) with Power Query
To standardize data, we used Power Query in the following way:
Data Modeling in Power BI
Once the data was loaded from Power Query, we imported the structured data into Power BI, where advanced data modeling techniques were used to create relationships between datasets. This ensured that the data structure was optimized for efficient analysis.
Visualization in Power BI
We developed dynamic dashboards in Power BI to provide real-time insights into sales performance across B2B, Modern Trade, and e-commerce channels. KPIs and metrics were displayed to track performance and guide decision-making.
Our solution simplified sales data management for the client, reducing manual effort and improving data accuracy. With real-time insights from Power BI, decisions became faster and more informed. The scalable system now supports the client’s future growth, while stronger security measures protect sensitive data. In short, the solution improved efficiency, visibility, and strategic planning.
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DataToBiz is a good choice for someone who wants a partner who understands the product journey, requirements, and delivery expectations. They have the experience and agility to understand what’s possible and deliver to the client’s expectations. They‘re really passionate people, and they know what they’re doing!
We’re impressed with DataToBiz’s professionalism, dedicated support, and consistent follow-ups. Their team maintains clear communication through online meetings, ensuring a smooth and reliable collaboration.
A solution like this is a good fit if your teams spend more time collecting and reconciling data than acting on it, if reports from different departments do not match, or if decisions depend on delayed or manual reporting. It also fits when your data is growing in volume or sources, and your current setup struggles to keep up.
DataToBiz starts with a discovery call to review your goals, data sources, and reporting gaps. You get a clear view of the expected outcomes, effort, and timeline before any commitment.
Yes. Every solution DataToBiz delivers is configured around your industry, business processes, and existing data environment. The team assesses your current systems, data quality, and reporting needs first, then designs a solution that works with what you already have instead of replacing it. This applies across industries such as manufacturing, retail, healthcare, finance, and logistics, and across setups ranging from legacy databases to cloud data platforms.
DataToBiz works across the major analytics, cloud, and data engineering stacks. For BI and visualization, this includes Power BI, Tableau, and Looker. For cloud platforms, it includes Microsoft Azure, AWS, and Google Cloud. For data warehousing and processing, it includes Snowflake, Databricks, and SQL-based databases. Data sources include ERP and CRM systems, spreadsheets, APIs, IoT and sensor data, and third-party applications.
If your stack includes a tool not listed here, the team can assess compatibility during discovery.
Most projects with DataToBiz take from a few weeks to a few months. The timeline depends on how ready your data infrastructure is for the initiative and how many systems need to connect. Smaller solutions go live quickly, while larger programs roll out in phases so you see value early. After an initial discovery call, you receive a timeline with clear milestones.
Security and governance is part of the plan from the first conversation. DataToBiz works within your security policies and follows the regulations that apply to your industry. The project usually Access stays limited to the people who need it, and confidentiality terms cover the engagement from kickoff to handover.
The work does not stop at go-live. Your team gets a proper handover and guidance on using the solution, and DataToBiz stays available for questions and improvements. The business impact of the project is measured against the goals set at the start, so you can see exactly what changed for your company.
