Profit.Store
Information Technology & ServicesView the employees at
Profit.Store-
Maksim Banasevich Graphic designer, artist, fron-end dev, back-and dev, drummer
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Ukraine
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Top 10%
Daniil Kulik Analytical systems for business-
Kyiv, Kyiv City, Ukraine
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Rising Star
Levon Gevorgyan Co-owner & CSO Profit.Store (Custom Analytic System); Founder Unext (EdTech company)-
United Kingdom
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Rising Star
Serhii Tiuvaiev Full stack developer(React, Django)-
Kyiv, Kyiv City, Ukraine
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Rising Star
Overview
ProfITStore is a Ukrainian product-based IT company focused on building innovative end-to-end solutions in order to turn data into actionable insights and enhance your business performance. We have helped digital entrepreneurs to elevate their business profit by making data-driven decisions. Due to the deep understanding of customer business processes, we have developed a revolutionary product in the end-to-end analytics system that helps to scale businesses more confidently and efficiently. With our product, the client's business processes are more transparent and controlled, and the connection between marketing and sales is much more effective. We are ready to provide you with convenient and easy-to-read dashboards that genuinely respond to each customer's needs, preferences, and priorities. Each one is made individually and designed in accordance with your business specifics. Here you’ll see your own BigData, which will help to form your business decisions. What helps us achieve a 100% customer happiness rate? Special demands require special tools. To create and customize your analytical dashboard, we use a special set of instruments. In this way, we are able to take care of your individual solution in a proper way. Data matching is our superpower. To ensure Data Accuracy we use: - Our own data connectors for client's systems - Unified patterns for data transformation and aggregation using Python framework Pandas - Algorithms for recovering partiallypartly lost data - Ability to integrate results back to clients' business processes using API interfaces or custom micro-services - Big Query BI engine for faster data analysis - ML Algorithms for segmentation and classification of clients' databases - Forecasting of key companies' indicators using time series analysis, extrapolation methods, multifactorial models.
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