Pharma Commercial Analytics & Omnichannel Intelligence
Connect field force, digital, and medical engagement data into a single analytics framework – so every commercial decision is made with full context.
20%
Sales increase in Year 1 via unified commercial analytics across 30+ countries
800+
Field reps using AI-driven next-best-action recommendations daily
$170K
Annual savings via automated KOL segmentation across 23 markets
The Problem Commercial Leaders Face
Your field force has CRM data. Your marketing team has digital engagement metrics. Your medical affairs team has HCP interaction records. Your market access team has payer analytics. Each function optimizes locally – and your company sub-optimizes globally.
The result is what we call the commercial intelligence deficit: more data than ever, but less connected insight. You cannot answer the questions that matter most: Does a digital touchpoint before a rep visit increase prescribing? Does MSL engagement with a KOL influence surrounding HCP behavior? Is your marketing spend allocated to the channels that actually drive results?
These are not academic questions. They directly determine how you allocate tens of millions in commercial spending. And most pharma companies answer them with intuition rather than evidence.
What We Do
Deliver connected commercial analytics that unify data across sales, marketing, and medical functions, enabling better decisions. Drive actionable insights that improve targeting, engagement, and overall commercial performance.
Omnichannel Analytics & Marketing Mix
We assess HCP affinity by channel, measure cross-channel attribution, and enable dynamic reallocation of marketing spend. This is not channel-level reporting – it is understanding how channels work together as a system. Our framework on Snowflake integrates CRM, digital, congress, medical, and patient data at the HCP level.
Field Force AI & Next-Best-Action
We build analytics applications for rep planning, activity tracking, competitive intelligence, and AI-driven next-best-action recommendations. One platform is used daily by 800+ field representatives, integrating territory, incentive, and competitive data with personalized call recommendations.
CRM Intelligence & Veeva Analytics
We design scalable engagement data models that work across CRM platforms, including Veeva Vault CRM migrations. When a leading biotech migrated from MOSAIC to Veeva, we built the analytics layer that kept 800+ reps productive – delivering 75% faster access to engagement data.
KOL Identification & Segmentation
We automate KOL identification using machine learning – replacing manual business rules with models that analyze publication networks, prescribing influence, and referral patterns. One implementation achieved 85%+ accuracy across 23 countries, saving $170K annually.
Who It’s For
Built for pharma commercial leaders, sales, marketing, and analytics teams looking to improve omnichannel execution, customer engagement, and commercial performance through data‑driven insights.
How We Deliver
Execute through a structured approach that combines accelerators, scalable data platforms, and analytics expertise. Ensure faster time to value while maintaining governance, quality, and compliance standards.
Accelerators & Frameworks
Flash Migrate for data platform migration. Semantic Edge for governed data foundations. GenBI for natural language analytics. HumanEdge for 3-week AI prototyping. These purpose-built tools compress delivery timelines by 20–40%.
Governance & Compliance
Every solution includes GxP-compliant data governance, documented lineage, role-based access controls, and quality monitoring. HIPAA and GDPR requirements are embedded – not bolted on.
Results
20%
Sales increase in Year 1: Unified commercial data model across 30+ countries (Snowflake, dbt, Power BI)
$170K
Annual savings, 85%+ accuracy: Automated KOL segmentation across 23 markets (Dataiku, ML)
800+
Reps with AI next-best-action: Field force analytics platform with competitive intelligence (AWS, Snowflake, MicroStrategy)
75%
Faster engagement data: CRM migration analytics for 800+ reps during MOSAIC-to-Veeva transition (AWS, Snowflake, Power BI)
Resources
Explore proven strategies, frameworks, and real‑world success stories across CRM intelligence, KOL identification, and data‑driven commercial execution.
FAQs
What is omnichannel analytics in pharma?
Omnichannel analytics connects engagement data from all channels – field force, digital, medical, congress, patient support – at the HCP level. It measures how channels work together to influence prescribing behavior, rather than measuring each channel in isolation.
How does AI improve field force effectiveness?
AI models analyze prescribing patterns, engagement history, competitive activity, and territory data to generate personalized next-best-action recommendations for each rep. This helps reps prioritize the right HCPs with the right message at the right time.
Can you work with Veeva CRM data?
Yes. We have deep experience with Veeva Vault CRM, including building analytics layers during CRM migrations. We model engagement data across Veeva and non-Veeva sources to enable unified analytics.
How long does it take to see results?
Our HumanEdge program can validate a commercial analytics use case with a working prototype in 3 weeks. Full platform implementations typically deliver initial value within 8–12 weeks, depending on data complexity.
How is KOL identification done with machine learning?
ML models analyze publication networks, collaboration patterns, prescribing influence, congress activity, and social media presence. They identify emerging KOLs that business rules miss and continuously refresh as new data becomes available.
What data sources do you integrate?
We integrate CRM (Veeva, Salesforce), prescription data, claims data, digital engagement (Marketo, SFMC), congress attendance, medical interaction records, patient support data, and third-party reference data (IQVIA, Symphony Health).
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Headquarters: Washington, D.C., USA