Podcast
Data in pharma operations with Ashraf Radwan
Title at episode shootingChairman and CEO, AMS Analytix
Ashraf Radwan joins Pharma Republic to discuss data in pharma operations, commercial analytics, scaling, CRM, and generative AI.
Ashraf Radwan
- Title at episode shooting
- Chairman and CEO, AMS Analytix
Key takeaways
- Pharma teams need better regional data to understand what is happening before decisions are made.
- Commercial operations becomes stronger when leaders can connect data availability with field reality.
- Data maturity is an operating discipline, not only a reporting project.
Episode overview
Ashraf Radwan joins Pharma Republic for a conversation about data in pharma operations. The episode explores career change, commercial analytics, regional data limitations, pharma digital operations, CRM maturity, and why generative AI is becoming a career advantage.
For Revosuite, this episode connects directly to a core belief: commercial operations improve when leaders can see useful signals while the work is still happening.
Why it matters
Pharma teams often make decisions with delayed sales outcomes and incomplete field context. Better data discipline helps leaders understand what is happening across markets, teams, and customer segments before plans drift too far from reality.
Career evolution and embracing change
Stepping out of the comfort zone: Ashraf's career spans several roles, starting as a medical representative in 1994, moving into marketing, and later taking on strategy and consulting work. A key turning point came when he helped launch Viagra, a product that did not fit the classic ethical pharma model and behaved more like a fast-moving consumer good. That experience pushed him to use data analytics to understand consumers, pharmacies, and behavior outside the traditional doctor-led model. 05:08Opens in a new window
The value of consulting: Leaving pharma to start a consulting firm in 2006 taught him the hard way about business sustainability. Unlike a pharma brand that can build long-term momentum, consulting required constantly finding new clients and starting again. That shaped how he later assessed sustainability, business models, and mergers and acquisitions. 15:04Opens in a new window
The power and challenge of data in pharma
Global versus regional data use: Ashraf describes a clear gap between global pharma decision-making and regional operations. Globally, companies invest heavily in R&D using deep data from multiple providers. In markets such as MENA, the data used by commercial teams is often narrower, relying mostly on sales figures and CRM inputs. 18:38Opens in a new window
The struggle to scale: Some local or regional pharma companies say they operate in dozens of countries, but the numbers may show that most revenue still comes from only a few core markets. Expansion requires data on new markets, tender business, distributor quality, and greenfield investment, yet many companies remain focused on short-term profit. 23:07Opens in a new window
The data-sharing bottleneck: One reason MENA lags behind Europe and the US in data analytics is limited data sharing. In more mature data ecosystems, anonymized patient data, insurance claims, and hospital records can support deeper analysis. In the region, authorities and institutions are more hesitant to share data, which limits market understanding and outcome analysis. 37:31Opens in a new window
Digital transformation and advice for the future
CRM is essential but needs to evolve: CRM should do more than count visits. Ashraf argues it should connect with broader business intelligence and help leaders ask sharper questions, including whether mature brands still deserve the same marketing spend simply because the organization has always spent that way. 34:07Opens in a new window
Advice for the next generation: Ashraf's advice for medical representatives and young professionals is to educate themselves aggressively on generative AI and advanced data analytics. AI tools can now complete in hours work that once took weeks, and professionals who master them will move faster than those who rely on outdated methods. 40:07Opens in a new window
Transcript excerpts
Selected short transcripts from this episode, edited only for readability and archive value.
Ashraf RadwanFor multinational companies operating in the region here, almost 80% of what drives pharma, like which indication they will choose for their clinical package, is based on what? The amount of data access in the global head offices is completely different from the data we have here. Every single dollar a company spends is backed by data. In this region, we don't have that. Most of what we spend is more on sales, marketing, and commercial operations. Therefore, the reliance on data is more related to the product's performance in the market. So, we rely on the simple data that is related to sales and marketing.
Ashraf RadwanChairman and CEO, AMS AnalytixData on a global scale vs regional insightsWatch short
Ashraf RadwanData at all levels is very important. Today, if I am a local or regional company, you'll find that the majority of companies, Muhammad, from the ones I've looked at, generate probably 80 to 90% of their sales in their home country, where their factory is located. Most of these companies have the ambition to expand outwards. If they had data on the tender business, for instance, in 20 or 30 countries in Africa, understood what the global market is like, and knew who the right distributors to work with are, they wouldn't hesitate to expand. This is because they already have the production capacity; in fact, they can scale up their production, as all of these factories are not currently operating at full capacity.
Ashraf RadwanChairman and CEO, AMS AnalytixHow data can help scale a pharma businessWatch short Short perspectives