PharmaLeap’s Data Analytics and Intelligence solutions are focused on providing answers to complex analytical problems of an organization, thereby assisting them in making strategic business decisions. Our Data Analytics solutions cover a range of datasets including US and ex US sales datasets, promotional databases, pricing databases, patient level data, HCP and other stakeholder related datasets, open sources among others. We utilize these datasets and use advanced technologies including SQL, Python, R, Dataiku, Alteryx, Java, React, AWS, PowerBI, Qlik Sense, Tableau among others to provide analytical solutions, which generate insights for clients. These insights further empower stakeholders to make strategic, data-driven decisions.
PharmaLeap also offers tailored consulting solutions based on extensive market research through primary and secondary channels. These market research solutions expand across therapeutic and disease area assessments, competitive and market landscape analysis, stakeholder opinions and insights, business development related insights and assessments, go to market assessments. These market research related consultative services provide extensive insights to the stakeholders to make key strategic decisions.
PharmaLeap delivers an expansive suite of Competitive Intelligence (CI) services, ranging from ongoing monitoring and real-time CI alerts to in-depth conference surveillance. Utilizing a mix of primary research, secondary data sources, and social media listening tools, we tailor our CI offerings to the unique strategic objectives of each client. This enables businesses to stay updated on market dynamics and maintain a competitive edge.
PharmaLeap provides end-to-end forecasting solutions customized to align with your business objectives. Our services are available under flexible engagement models—whether you need FTE-based continuous support for internal analytics teams or project-based forecasting to assess brand potential and inform revenue projections. Our scenario planning and predictive modelling expertise empower stakeholders with clarity and confidence in decision-making.
PharmaLeap offers detailed advanced analytics, data science and predictive analytics services based on complex Python programming, Machine Learning and Artificial Intelligence using multiple LLM and NLP models. Our Services and focused on solving complex qualitative and quantitative business problems and our Data Science models are designed to provide descriptive, prescriptive as well as predictive analysis and insights to our customers.
PharmaLeap works across the life cycle and value chain of data management starting from data understanding, data extraction to data modelling ending into data analytics and visualization. We handle complex data pipelines and build real time connections to large datasets using various technical tools like SQL, Python, Alteryx, Dataiku among others. We then clean the data and manage the data pipelines by building workflows which result in required KPIs at the customer end. This is done using different technical tools as per the requirements of the clients. We then also support in the output visualizations using PowerBI, Tableau, Qlik Sense and other tools. Our Data pipelines are hosted on various platforms including AWS, Azure etc. depending on the requirements and current systems of the clients.