Finding potential customers is one of the biggest challenges for life sciences companies. As data supplies grow exponentially and become increasingly complex, the right data-driven hierarchy management system can reveal vast numbers of potential customers and give insight into the product sales records used for tracking and reporting. Even the most robust AI/ML algorithms can provide poor results without concise, adequately cleansed data.
Read this case study to understand how Axtria helped a global biotechnology company with a dedicated and precise hierarchy system to manage its data relationships. To achieve this, Axtria developed a new hierarchy model, preserved all existing information, and ensured all the latest inputs aligned with the data used for commercial analytics.
The global biotechnology company benefited from the following:
Axtria’s new hierarchy system was built using a custom-built code so the new automated hierarchy system would remain compatible with its existing automated system, allowing the biotech company to retain its existing analytics and call planning processes while leveraging the newly adapted methodologies.
Contact us at insights@axtria.com with any questions.