Data driven
business management

mlead
MLead: sales management
A solution for managing field sales staff. The service covers the process of interaction with clients from working with the database to concluding an agreement
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social-media
Geonet: network management
The service helps to choose the best locations, analyze network performance and close potentially ineffective points without losing clients
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coworkers-working
Cases
We share our experience in solving problems: complex, non-trivial or simply interesting from the point of view of our clients business development
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main-pharma
Solutions for the pharmaceutical market
Sales Force Effectiveness, Brand Performance solutions, distribution and sales management using AI, data analysis and geoanalytics
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Geomarketing

Definition of the spatial concentrations of target groups significantly influences the efficiency of many companies. Identification of patterns of clients’ movements between their main addresses (living, work, education, food, relatives, etc.) allows to teach a predictive model and roll out the prediction over a targeted territory and business. Geo-data and spatial analysis provide effective tools to improve the quality of decisions and activities that are applicable to current and potential markets, customer acquisition and management, media-planning, sales growth, locations assessments.

CRM and Customer strategies

Segmentation of the customer base defines the answers to the questions: what, whom, when, where and how to offer? The proper processing with customer base requires investments into big data The latter are limitless, have to be justified and returned in reasonable time. The notions of “omni-channel”, “customer care”, “service quality” have to correspond to expenses and have strong positive correlation with business results. We help to find right balance, assess limits of achievements and develop cost-of-benefit analysis of any CRM activity.

Predictive analytics

Predictive models utilizes bid data technology to predict the customer behavior and to find optimal decisions. Predictive business models use patterns, developed on the basis of data over required and sufficient and are aimed to evaluate the potentials of risks and opportunities. Models identify connections among various factors to search the best solution within a context or most business effective decision The applications of a predictive model are customers’ propensity to behave, identify best goods and services to sell, understand and minimize the causes of attrition.