The Future of Pharma Consulting

  Pharmaceutical companies have always depended on rigorous market research to understand how physicians prescribe, how patients experience disease, and how payers make coverage decisions. That dependence hasn’t changed — but the tools available to conduct market research pharma teams rely on have shifted considerably. Generative AI in pharma is now part of the insights conversation, from summarizing hundreds of physician interviews in minutes to generating synthetic respondent data when real fieldwork is slow or expensive. For commercial insights leaders, the question isn’t whether to engage with this technology, but where it adds genuine value and where it introduces risk that a regulated industry can’t easily absorb. Why Pharma Market Research Looks Different From Other Industries Unlike consumer market research, Market research pharma insights work operates inside a web of compliance constraints: interactions with healthcare professionals are subject to anti-kickback and promo...

  Sales compensation is one of the biggest levers a company has for shaping seller behavior — and one of the easiest to get wrong. Plans built on outdated assumptions, incomplete data, or gut instinct often end up too generous, too complex, or misaligned with what the business actually needs reps to do. That’s where data and analytics consulting comes in: using benchmarking, predictive modeling, and performance analysis to inform how compensation plans are structured and adjusted over time. This article explains what sales compensation involves, where data and analytics consulting adds measurable value, and what to consider when bringing in outside analytical support. What Sales Compensation Includes Sales compensation refers to the combination of base salary, commission, bonuses, and other incentives that reward sales performance. A sales compensation plan typically defines quotas, commission rates or tiers, accelerators for exceeding targets, and the specific metrics — revenue, n...

  Drug discovery consulting and clinical trial consulting both help organizations make better decisions in a field where decisions are expensive and hard to reverse. Discovery-stage teams ask whether a target and candidate justify further investment. Clinical teams ask whether a trial design, site strategy, and data plan can answer the questions regulators and payers will care about. This article explains what each type of advisory typically covers, how they connect, and how to select and measure a partner. What Drug Discovery Consulting Typically Involves Drug discovery consulting supports the early path from biological hypothesis to development candidate. Common areas include: •       Target identification and validation: reviewing the evidence that a target is relevant to a disease and tractable. •       Assay and screening strategy: assessing whether experiments will produce reliable, decision-ready data. •       Hit-to-lead an...