Predictive Analysis – has changed the way businesses operate these days!
And for good reasons only!
Being able to predict trends, analyse data, and make informed decisions is a real game changer, especially for industries like FMCG, Healthcare and Pharmaceuticals.
And why not?
It’s not just about keeping up with the demand, but also about managing it smartly!
Knowing which products are high in demand means you can ramp up production to meet that need.
On the other hand, understanding which products are less popular helps avoid overproduction and waste, saving both time and money.
For small and mid-sized pharmaceutical companies, this can make all the difference.
Unlike the big players, smaller companies often have tighter budgets and need to be more strategic with their decisions.
This is where custom predictive analytics solutions come into play.
Unlike generic, one-size-fits-all tools, these solutions are tailored specifically to the needs of smaller businesses, helping them to be more flexible, efficient, and competitive.
In this blog, we’ll explore why investing in custom predictive analytics software is a smart move for small pharma companies and how it can help them make better decisions, optimize resources, and stay ahead in a competitive market.
But first, let’s start on a lighter note and know what is predictive analytics, the role of data analytics in the pharma industry and how has it changed the game for many players in the pharmaceutical industry.
What is Predictive Analytics?
Simply put,
Predictive analytics is a way of using data, statistics, and machine learning to make informed guesses about what might happen in the future.
In the pharmaceutical world, this means using data to predict things like drug demand, potential side effects, patient responses, and even the best strategies for marketing and distribution.
Predictive analytics in the Pharma industry - how has this changed the game?
Well, for many pharmaceutical companies, especially the big players, predictive analytics has become a crucial tool.
It allows them to forecast demand more accurately, meaning they know exactly how much of a drug to produce and where to send it.
This reduces waste and ensures that patients get the medicines they need when they need them.
The best part – It also helps in drug development!
By analyzing huge amounts of data, companies can identify promising compounds faster, predict which drugs are likely to succeed or fail, and even anticipate the human capabilities needed in the consumer for a successful drug trial.
This speeds up the development process and reduces costs.
Overall, pharma data analytics has allowed pharmaceutical companies to be more efficient, responsive, and competitive, which is a big win in an industry where staying ahead of the curve is essential.
Not just Pharma, data analysis plays a huge role in the Healthcare industry as a whole. However, the main obstacle here is the integration of these healthcare data from different sources over a single platform to analyze and process it.
Read about the factors that obstruct healthcare data integration and potential solutions to implement data engineering in healthcare.
Getting back to Pharma, let’s talk about an example from the real world where predictive analysis is being utilized for better.
A Real-Life Example
Novartis – A Global Pharmaceutical Company based in Switzerland.
They are also looking at ways to accelerate the discovery of medicines for Huntington’s disease and lung cancer.
Their goal is to equip many more medicines in the pipeline with data and digital solutions to reduce development timelines in the future.
“Now you may think that these solutions are only useful for big companies like Novartis or Pfizer etc. – but this is where most entrepreneurs underestimate the power of technology and most importantly the power of custom solutions!”
Let us ask you this…
If you run a small to medium-sized business, do you ever think about what resources to keep, what to let go of, or what to use only when needed?
Is it something that doesn’t affect your business?
We hear you say – “It does!”
So, when it does, how can it be more useful for the big players and not for you?
If the hesitation is about affording tools or software…
Then leave your worries aside.
Custom solutions can be developed specifically for you, allowing you to pay for it once and use it as long as you want!
How?
We will explain this a little later!
First, let’s get to the answer you came here for – Why should you invest in custom predictive analysis software despite not being a big player in the Pharma industry?
Custom Predictive Analytics Software: 9 reasons you should invest as a small pharma company
Let’s take a look at the various factors and know why it is a good investment.
1. Enhanced Decision-Making
Predictive analytics provides small pharma companies with valuable insights into future trends, allowing them to make more informed decisions.
For example, by analyzing historical sales data and market trends, companies can predict which drugs will be in demand, helping them allocate resources more efficiently and reduce waste.
2. Optimized Drug Development Process
Drug development is a lengthy and expensive process!
Custom predictive analytics solutions can help small pharma companies identify the combination and patterns of drug complexes that earlier worked well and can be utilized to produce new medicines. This reduces the time and cost associated with bringing new drugs to market.
This can be particularly beneficial for small companies with limited resources, enabling them to compete more effectively with larger players.
3. Improved Supply Chain Management
For small pharmaceutical companies, managing the supply chain effectively is crucial to maintaining profitability.
Predictive analytics can help optimize inventory levels, forecast demand, and identify potential supply chain disruptions before they occur.
This allows companies to maintain the right amount of stock, avoid costly stockouts or overproduction, and ensure timely delivery of products.
4. Personalized Marketing Strategies
Custom predictive analytics solutions can analyze customer data to identify purchase patterns and preferences, allowing small pharma companies to develop more targeted marketing strategies.
By understanding which products are likely to be more successful with specific customer segments, companies can focus their marketing efforts more effectively, resulting in higher sales and better customer satisfaction.
5. Competitive Advantage
In a highly competitive industry like pharmaceuticals, small companies need every edge they can get.
Investing in a custom predictive analytics solution tailored to their specific needs allows them to leverage data in ways that standardized, off-the-shelf solutions might not.
This level of customization can lead to unique insights and more effective strategies that differentiate them from competitors.
6. Cost Efficiency
While the upfront cost of developing custom predictive analytics software may be higher than purchasing an off-the-shelf product, the long-term benefits often outweigh the initial investment.
Custom solutions are designed specifically to address the unique challenges and goals of your small pharma company, ensuring that every feature and function is relevant.
This tailored approach eliminates unnecessary costs and can lead to significant savings over time.
7. Regulatory Compliance and Risk Management
Pharmaceutical companies operate in a highly regulated environment.
Predictive analytics can help small companies stay compliant by forecasting regulatory changes, identifying potential risks, and ensuring that all aspects of the business adhere to current regulations.
This proactive approach to compliance and risk management can prevent costly fines and improve overall business stability.
8. Scalability and Flexibility
A custom predictive analytics solution is designed with the company’s growth in mind.
As a small pharma company expands, the solution can be scaled and adapted to meet new challenges and opportunities.
This flexibility ensures that the investment remains valuable over time, providing continued support for business growth and innovation.
9. Better Patient Outcomes
Ultimately, the goal of any pharmaceutical company is to improve patient outcomes.
The outcome of pharma data analytics helps identify which patients are most likely to benefit from a particular treatment, enabling more personalized and effective care.
For small pharma companies, this can enhance their reputation and foster trust with healthcare providers and patients.
There are more but can’t cover everything here, but you can find case studies to get to know what can happen if you invest in such solutions!
If you find it hard – we can help you – Drop your questions, and we’ll come up with answers to resolve your doubts!
Conclusion
These are just a few of the reasons – because the biggest reason is – if you don’t want to get left behind.
Your competitors are trying to get custom solutions developed for the areas where there is even a little Micromanagement!
And this is just a solution that gets developed and can be integrated into the core system of your organization!
So why not invest – is something we ask you!
Take time – read some case studies and – talk to people who know about it – and you’ll see what you have been missing!
We missed something big in this Blog!
The part where we tell you…
How we can help you develop one such solution for your Pharmaceutical Business.
But we can’t write it all – as it depends on the size, need and goal of your business!
If you can tell us just that – we can certainly tell you how we can develop Custom Predictive Analytics Software for your unique needs!
Connect with us – and spill the beans!
And let’s get started!