What makes a successful Pharma company today?
This is a hard one to answer, since there are multiple elements in today’s success in the Pharma market. However in this data-frenzy time and age, it is safe to say that those companies investing in strong analytical infrastructures are the ones leading the industry.
Today, it seems it isn’t enough to produce the best drugs on the market, or have the most driven sales force teams- what ultimately shifts the balance is the business value provided by top-of-the-line analytics solutions.
Why is analytics so essential in Pharma success? Because the right analytics solution improves revenue growth and profit margins, by boosting commercial operations which in turn creates successful drug launches based on precise valuable on-the-spot data analyses.
Let’s elaborate-
Big Data and Pharma Analytics
The influence Big Data has had on the Pharma industry over the last decade is staggering. And it is no news flash that he who can handle the masses of data, not only obtaining and storing it, but mainly sorting, analyzing, reporting and creating meaningful real-time insights from it, shall have the upper hand in the pharmaceutical market.
The question remains however, as to what kind of data management is needed to produce these results efficiently, quickly and profitably. Well, when traditional BI tools are no longer sufficient in producing on-the-spot reports and are well behind when it comes to flexibility, accuracy and predictive abilities, it’s clear that it is time for a change in tune in pharma analytics solutions-
A New Era in Pharma Analytics Solutions
The current business landscape demands a wider access to data analytics in the business; high level managers in the Pharma industry as well as sales force frontline users and further departments, should be able to act upon real-time data, make on-the-spot decisions and react to a constantly changing, dynamic business reality. They simply cannot be dependent on other departments providing them with mediated stats and slow-to-come answers to pressing questions. In other words, what we need is data democratization!
Their access to the data in the business should be:
- Immediate
- Direct
- Easy to understand
- Independent of other departments
- Allow users to link data from multiple sources
- Provide predictive data insights without having to know a single line of coding
Self-service Analytics
The only way to do that is by using a top-of-the-line technological data analytics solution, dedicated to the Pharma industry, which can generate a story out of the data to monitor and explain phenomena, evaluate hypotheses, drill into interesting findings and substantiate conclusions. Essentially, we’re talking about a self-service analytics solution for the whole chain of command.
Because when executives are able to manage data themselves, they not only improve their immediate, on-the-spot decision-making, but they are also more informed on a bigger strategic scale, which allows them to revise long-held assumptions and old practices according to new business landscapes and, ultimately, improve revenue growth and profit margins.
So, To Wrap This Up- Democratize Your Data
The entrance of Big Data into the Pharma industry brings along with it a demand for a quicker, more accessible data analysis, and it is exactly that ability to democratize data among frontline users and high-level executives that shifts the balance and creates successful drug launches and better commercial operations departments.
Let more users into the analytical process, and create better informed Managed Markets and sales teams. Expand the boundaries of reported analyses. Because eventually, data democratization is the next step in Pharma analytics, and it is essential in today’s ruthless market.
Up until not long ago there was a saying that he who holds knowledge shall have the power. Now it is surely he who can manage and control the data that shall have the power.
