Beghou Briefs
Our experts share their thoughts about the ways life sciences companies can use data analytics to improve commercial strategies.
When it comes to data, you can never be too rich – but you can be too rigid
Data is the new gold for life sciences companies today. It is the most valued currency. It is the fuel that powers the best forecasts. It is the ultimate hedge against the inevitable vagaries of the marketplace. And commercial teams can ...
Bill Belichick doesn’t use analytics. What can pharma learn from this?
How much does the most successful coach in NFL history rely on analytics when he makes in-game decisions? “Less than zero,” he says. We’re deep in the Moneyball era. Advanced analysis of large data sets informs decision-making in every m...
The future of incentive compensation
We recently published a white paper that describes how emerging pharmaceutical companies can develop motivating and sustainable incentive compensation plans amid the many uncertainties that accompany a product launch. As we wrote that pa...
Looking for a new sales support SaaS solution? Read our checklist – and learn how Mainsail can serve as a differentiator
Companies from all types of industries – from insurance to life sciences to transportation – rely on data to inform their commercial operations. But where do they store, manage and manipulate this data? Many still operate on disparat...
Pharma’s data challenges: what we learned from our new survey
The influx of data in the pharmaceutical industry presents numerous challenges to emerging companies, according to Beghou Consulting’s 2019 Emerging Pharma Pulse Report. We asked over 100 pharmaceutical companies—two-thirds of which ...
Maximize mobility for pharma sales forces
Thanks to the robust technology housed within mobile devices today, pharma sales forces can access ever-increasing amounts of customer data and information on the go. This accessibility enables sales reps to tap real-time insights and be...
Thunder in the cloud: How life sciences can cope with the data explosion (Part 2)
Data management processes for life sciences companies are consistently in flux. This era of change presents great opportunities but also significant potential pitfalls. Life sciences companies need not only whip-smart data scientists, bu...
Thunder in the cloud: How life sciences can cope with the data explosion (Part 1)
Data management processes in the life sciences industry are in a state of significant flux as two key trends converge: The data explosion The quantity of data, the number and diversity of data sources – as well as the complexity of dat...
Tackle sales force sizing challenges with machine learning (Part 2)
As we continue to explore the importance to be bold enough to trust the counterintuitive advice that data can provide, life science companies should deploy advanced analytics techniques to generate actionable predictions. We recommend de...
Tackle sales force sizing challenges with machine learning (Part 1)
Earlier this season, the Tennessee Titans faced a fourth down and two in overtime at the Philadelphia Eagles’ 32-yard-line. If Titans coach Mike Vrabel followed conventional wisdom, he would have sent kicker Ryan Succop out to attempt ...
