Pharma Sales & Marketing Analytics

Optimising sales
team’s efficiencies with
Business Intelligence for
a Pharmaceutical
manufacturing giant.
Having spent an exorbitant amount on sales and product promotion, the client needed a more efficient data-driven platform to track sales performance, market share on newly launched products, and better distribution of budgets. The Self-service Business Intelligence platform developed with the help of Data Nectar helped track relevant KPIs, predict customer behaviour, and timely improvement of efficient practices
950 Hours/week
Saved effort for sales team
Increase in average quarterly bandwidth of sales team
Faster access to sales operation information
The client based in India is one of the top 10 leading pharmaceutical manufacturing companies, with a gross turnover of more than USD 1 billion. With a team of 13,000+ employees and a global presence in 14 countries, the client has been leading the healthcare industry and the pharmaceutical sector with the most qualitative and cost-effective healthcare and wellness products

It is a global leader in the healthcare industry, manufacturing large-scale Generic Drugs, Vaccines, Wellness & Cosmetics. Their sales team consists of more than 700 members across the product lines, geographies, and organisational hierarchy.

Medical Representatives across the globe visits doctors to educate on drug effects for various diseases. A field representative's hierarchy structure is also defined based on the category of drugs sold. The field staff uses SalesForce CRM to plan and track their doctor visits, and sales orders are punched into a custom in-house developed Order Management System.
Generic Drugs, Vaccines, Wellness & Cosmetics
  • Enterprise-grade ETL
  • Data warehouse
  • Managed BI services
  • Data Security
  • Managed BI Support
The client’s Pharmaceutical manufacturing business has a dynamic sales team operating across drug categories and regions while focussing on the sales efforts in a highly competitive industry. They also have to spend a sizable amount of their sales bandwidth into a manual aggregation of their sales order data & sales efforts information every month for the preparation and submission of reports to their respective managers and the top management. To maintain an accurate and credible correlation among sales data, efforts, and hiring requirements, and avoid rash decision-making that may incur sizable financial downsides.

Considering the disparate systems (in the box) used by the sales team to access their order, efforts(CRM), and agreed sales team strength data(HRM), it was a repetitive and time-consuming task diluting their focus on sales for almost 4-5 workdays every month. Besides, that top sales heads had to consolidate and validate information to create reports for all the sales reps across regions.

At the same time, the top management faced challenges to have a frequent bird-eye view of the sales activities with reliable accuracy. That was taking a toll on making the right decisions on time-related to training, retention, and hiring. Every single day of delay in decision making could affect organisation-wide sales performance, especially in such a high attrition industry.

The existing legacy systems (SAP, Salesforce, Order system) used over the years across the organisation have made data analytics and information distribution a challenging and complex task that lacks efficacy. It was inevitable to implement a business intelligence system to enable frequent access to accurate sales information, to make the right decisions.
  • Sales efforts(Salesforce)
  • Sales orders (In-house Order Management System)
  • SAP (Invoice & finance data)
  • Human Resource Management (SAP HCM)
To build a business intelligence solution design that could enable the data integration & apply required data transformation for having consolidated and consistent data for the enterprise data warehouse. Data analytics on data marts and data cubes to enable Dashboards and deliver a range of reports to stakeholders - faster, frequent, and accurate.
Data Nectar Technosysmade an in-depth assessment of the client requirement and suggested offering their expertise that would help simplify the manual data integration processes followed to date.

The Data Nectar’s team of data analytics and BI solutions experts analysed the current legacy sales process that not only consumed our client’s productive hours (up to the tune of 950-man days) but undertook effective measures with innovative data consulting services that ensured accuracy, credibility and better representation of the data.

Here are some of the key features of the Business Intelligence solution delivered:
  • Data ingestion (Data from Order Management System, SAP, Salesforce CRM for ETL)
  • Data cleansing & transformation ( Data transformations from legacy organisational structure to the new org structure - across products, categories, sales team, roles, regions)
  • Data Warehouse modelling that supports country-specific financial year reporting requirements
  • Role-based Power BI dashboards and reports across dimensions like Product line, diseases, geographies, sales teams size
  • Separate Legacy systems for Order booking
  • CRM (sales effort logs)
  • Time-consuming reporting efforts for sales team
  • Manual report generation resulting in inaccuracies, human errors & data inconsistencies
Data Security & Confidentiality
Your trust is important to us and so also is the confidentiality of your Data. At Data Nectar Technosys, we consider the privacy and protection of your data at the highest priority, along with following the provisions of the EU General Data Protection Regulation (GDPR). We follow stringent data protection guidelines and take adequate measures to ensure that we fulfil our promise of being fully GDPR compliant.
Read our Data Security & GDPR Compliance