Verix's decision engine empowers business professionals, combining human intelligence with AI to leverage a wide variety of customer data - historical, factual, and predictive, to devise winning strategies and scientifically execute them, enabling a personalized approach to customer engagements with exceptional accuracy and explainability at unprecedented time-to-value.
Initial Tovana implementations show indications of 20% revenue uplift due to optimized customer engagements as well as stronger establishment of brand market position, measured through increased sales and reduced HCP churn. Be self-reliant and manage the entire lifecycle of your brand in an agile and dynamic manner.
Initial Tovana implementations show indications of 20% revenue uplift due to optimized customer engagements as well as stronger establishment of brand market position, measured through increased sales and reduced HCP churn. Be self-reliant and manage the entire lifecycle of your brand in an agile and dynamic manner.
Services
Verix was founded by two experts in Business Intelligence for Commercial Operations, to create focused solutions that pinpoint issues that require attention. We started by developing an analytic engine to identify statistically significant anomalies in business data, which we christened as HotSpots.
In today's fast-paced Life Sciences market, in order to build a competitive advantage, Pharmaceutical and biotech companies need the right set of automated tools to optimally manage and leverage an enormous amount of data. To really maximize profit, brands need to both zoom in on relevant data, and at the same time view the operation as a whole.
Understanding each HCP in a deep and scientific way is essential for accurate micro segmentation, precise targeting, and relevant messaging. In short, it is key to leverage high potential opportunities and prevent HCP attrition to achieve commercial success.
We use advanced machine learning algorithms to analyze HCPs and a wide variety of data features that describe them, such as prescriber behavior, patient mix, payer channel mix, and communication preferences.Using predictive and cluster models, we generate a fine-grain micro segmentation of the HCP landscape in a systematic manner that enables dynamic, optimal targeting.
We use advanced machine learning algorithms to analyze HCPs and a wide variety of data features that describe them, such as prescriber behavior, patient mix, payer channel mix, and communication preferences.Using predictive and cluster models, we generate a fine-grain micro segmentation of the HCP landscape in a systematic manner that enables dynamic, optimal targeting.
Life Sciences Commercial Operations are subject to constant changes, as Sales are ever adapting to changing prescriber trends, the growing role of managed markets, new competitive offerings and territory re-alignment. Verix helps sales forces focus only on selling by taking care of the tedious task of target identification with a fast, accurate utilization of high quality data.
In today's increasingly competitive, fast-paced, specialized market, pharmaceuticals face greater challenges to win over the market. The shift toward patient centricity, along with patents expiring and the product pipelines shrinking- are all forcing Commercial Operations experts to reinvent themselves on a regular basis.
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