Meet our Data Science Partners: The Power Behind Veeva CRM Suggestions
Meet Our Data Science Partners: The Power Behind Veeva CRM Suggestions
Healthcare data comes in all different shapes and sizes. To start, you have demographic data, interaction data, market data, and clinical data. Then you’ve got “soft” data points, like whether healthcare professionals (HCPs) prefer to be contacted by email or phone. Do they tweet? Are they active in social networks? Professional associations? Who influences them and who do they influence? All of this data is at your disposal, but the quantity is dizzying to imagine and nearly impossible to comprehend.
But customer data can be used very effectively to direct field teams to their next best action. Veeva CRM Suggestions is a rep dashboard, powered by data science, which recommends best actions and channels for each customer. Armed with the right combination of data science and a system for alerting them when the timing is right, your commercial teams will be ready to engage their customers with the information they need most.
Sounds great, but where does the data science power come from? If you have already developed a predictive analytics algorithm for crunching your customer data, you can feed your proprietary recommendations directly into Veeva CRM. But most companies turn to partner solutions as a jumping-off point. That’s why we’ve integrated our trusted data science partners’ technology into Veeva CRM. With Suggestions, you’re free chose your approach.
We’re pleased to introduce the Veeva data science partners, to help guide your selection:
Aktana has been providing suggestions to pharmaceutical sales reps for the past five years, and has successfully implemented with seven of the top 15 pharmaceutical companies and a number of mid-sized companies. Having extensive experience with data-driven suggestions, Aktana takes into equal consideration the math in their analytics engine and the workflow and behavior psychology of the pharma sales rep. Aktana begins the process by using the pharmaceutical customers’ analytic knowledge and engagement strategy as a starting point before introducing machine learning algorithms.
Axtria is a big data analytics company that combines industry knowledge, analytics, and technology to help clients make better data-driven decisions. Their Target Triggers offering provides reps with a weekly list of HCP targets with notable opportunities for the company’s brands. Sales reps receive information on HCP message preferences through Message Triggers. And Strategic Triggers arm reps with a list of HCP targets that are ready for specific personal promotions.
Zephyr Health is an insights-as-a-service company harnessing the power of big data for precise product lifecycle performance. Zephyr Illuminate delivers visual insights from thousands of data sources. The offering adds medical and market context to Veeva CRM Suggestions by surfacing insights for a specific disease area and region. Zephyr Recommendations give field teams “next best” actions with predictive, data-driven and actionable business insights extracted from the Illuminate platform.
ZS Associates leverages more than 30 years of sales & marketing commercial strategy and data science expertise to develop Suggestion EngineTM. Suggestion Engine is a fully-hosted service that includes a predefined suggestions library, prioritized suggestion list, and pre-built reports. The self-learning algorithm delivers improved recommended actions based on field adoption of suggestions, rep feedback and multichannel data updates.
Ready to help your reps deliver more relevant, timely information to customers? Click here to learn how with Veeva CRM Suggestions.