Big Data
in retail

Production, pricing policy, sales, customer service, logistics, and finally internal operational processes are examples of areas of companies' activities in the retail industry whose efficiency is determined by effective information management.

Knowledge as an added value


The greatest value of big data sets is access to detailed knowledge about the conducted business. The use of Big Data in the retail industry is virtually unlimited. Determining the scope of implementation and selection of tools should be preceded by a thorough analysis of the store''s needs.

We collect, integrate and analyse – about how to tame data.


Using the experience we have gained, we present one of the ways to attract, integrate and analyse data for the retail industry.

Identification of data sources

The source of details may be for instance a fiscal cash register.

Preparation tools for data collection

We sent to the base all line items from the receipts collected at each shop to identify shopping patterns.

Create the Big Data repository

We prepare one, large and scalable database in which we store all the collected details, such as video camera streaming, receipts'' line items, internet website details.

Data
integration

When the details are collected in one place, there follows a search for their connection points. We may link all receipts to the plate numbers of cars parked at the parking lot.

Data
analysis

We may establish quotients which determine a business unit activity''s effectiveness. On the grounds of information from the parking lots we may state whether the structure of the customers has changed or whether we have not lost a place from which our customers came.

Create reports and management panels

Having found a quotient important for a business unit (e.g. a number of chairs sold to the places maximum 10 km distant from the purchase point), we may visualize the information in the manager''s panel.

Data
acquisition

Knowing the places our customers come from, we may juxtapose the details with for example CEPIK base. We will be able to perform segmentation of our clients according to the car type and year model, which shall allow an effective marketing reach to each segment.

Thorough the knowledge of needs and goals of the client''s business gives us the opportunity to design a dedicated solution. An individual approach, and a wide range of services and technologies allow to achieve maximum efficiency.

What’s more, Datarino’s solutions are licence free.

What are the main benefits of implementing Big Data services in retail sales?


Create one, coherent and rich database

Get basic reports and statements for particular establishments, individuals or line items

Discover shopping patterns (e.g. dependent on the residence or car type)

Recognise a complete picture of consumer behavior

Create measurable marketing strategies

Reach revenue growth

Contact us


Are you interested in Big Data solutions for retail?

Do you want to find out about the possibilities offered by the analytical tools in retail trade and the benefits stemming from their implementation?

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