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Dataart

New York
New York
USA

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Physical Address 475 Park Ave S #15, New York, NY 10016, USA
New York
New York
Phone +1 (212) 378-4108
Email
Website


Business/Community Description

You can order services in the following areas of Data Science and Big Data analysis
Parsing data from competitors' websites
We collect data on the competitor's products from their official websites: we analyze the product range, compare competitors' prices with yours, record the availability of goods in the competitor's warehouses.
Internal business data analytics
We analyze the internal data of the company. On their basis, we calculate the profitability of projects / clients, evaluate the effectiveness of employees, and identify weaknesses in business processes.
Optimization of warehouse logistics
We analyze warehouse accounting data and provide recommendations: how to increase warehouse turnover, reduce delivery time, get rid of illiquid assets, etc.
Calculation of product recommendations
We analyze statistical data on completed orders and, on their basis, form the optimal assortment, select related products and analogues.
Text data analysis
We analyze large arrays of text data, evaluate their tone, and identify repeating patterns. This can be used in the future when compiling FAQs, knowledge bases, writing reviews and recommendations, and designing chatbots.
Setting search algorithms
If there is a large amount of product catalog data, we correctly configure its search algorithms: we determine the ranking, set and distribute weights for different search fields, set up synonyms. All this makes the search results in your catalog understandable, structured and relevant to the client's request.
Testing statistical hypotheses
We analyze the data obtained in the course of A/B testing, sales analytics, analysis of user behavior on the site and check whether the results obtained are related to the hypothesis put forward.
Designing and building big data warehouses
We develop master data management systems (MDM systems). We clean, standardize and check the quality of your input data. We develop convenient data management tools for your employees.

 


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