Solutions beyond BI
New challenges and new goals
At BIsiona, we are aware that in increasingly competitive environments, different and innovative solutions are required that allow us not only to respond to the needs of the market, but also to anticipate them and thus be able to respond proactively.
That is why Bisiona has been working since 2019 on Data Science and Artificial Intelligence technologies, and also collaborating with the Polytechnic University of Madrid in the search for innovative methodologies and solutions to apply them to business cases in the Pharmaceutical and Health industry. . As a result of this collaboration, we can offer the market proven value models based on Machine Learning and Data Science integrated in our module called baia.
Discover our AI engine, an
Business Artificial Angel
BUSINESS ARTIFICIAL INTELLIGENCE ANGEL (baia), is the new set of models and methodologies proposed by Bisiona that combines different Artificial Intelligence and Data Science techniques, and that will help companies create more precise business strategies and improve sales performance thanks to the recommendations generated by the system. How? Through the application of different statistical and Machine Learning methods and algorithms that enable learning and the search for success patterns, thus generating a differential, unique and real value proposition for each of our clients. The AI solutions we offer through baia are particular and specific, adapted to each business, product, pathology and objective. Where, thanks to the integration of multiple data sources (both public and private), all the associated numerical and discrete variables, and the analysis of the information, we obtain a prediction of success patterns that allow us to improve the sales efficiency of our clients.
Improved sales performance thanks to the application of more precise recommendations
Improvement of company practices thanks to the prediction of success patterns
ARTIFICIAL INTELLIGENCE & DATA SCIENCE
BENEFITS AND ADVANTAGES
With the application of our Artificial Intelligence models, solutions can be obtained to such common problems as:
The search for patterns of success in commercial activity that are later transformed into active recommendations for their application in specific territories with the aim of obtaining better results in sales. Thus, achieving recurring performance improvements cycle by cycle and favoring the performance of sales in the different territories.
Intelligent optimization of the territorial alignment of sales networks through algorithms that generate the ideal solutions for territory assignments. These alignments can have different objectives, from the redistribution and optimization of territories, to:
The reduction of the territorial structure while maintaining the volume of sales.
The increase in the potential volume of sales and the reallocation of territories and calculation of the need for new sellers.
The optimal reorganization of the existing sales network.
Or the creation of a new territorial structure for new product launches, among many other objectives.
Thanks to the fact that the system allows us to consider multiple scenarios, we have the possibility of selecting the most optimal and appropriate to our needs. To do this, it allows simulations taking into account the objective, multiple factors and variables, as well as the possibility of incorporating all kinds of assignment restrictions. What makes this model a flexible, scalable solution, and adjustable to all types of scenarios.
In addition, we develop other application models based on natural language analysis methods, applied to solutions for the search, extraction and interpretation of information in documents, including pdf and images, as well as the automatic segmentation of profiles through existing public information in Internet.
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