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6 functions of an analyst of big data in retail

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analista de big data en retail

Each customer movement is information and this data must be taken very seriously for the success of the store, for this a retail big data analyst is necessary Learn a lot in this post!

All commercial activity generates information, data that may seem tiny but that represents a very important accumulation of knowledge that can help to better understand the customer behavior and their preferences.

All this allows, among other things, to give a more personalized customer experience, since the data collected is first-hand information that can be analyzed and based on that study allow the development of strategies with a more precise margin of effectiveness.

In today's retail universe that generated information acquires gigantic dimensions, not in vain is it called Big Data, which consists of handling large volumes of data, which also makes use of data science and artificial intelligence.

But although it is essential to make use of advanced technology, it is also essential to have the best-trained human resources for the development of these tasks, the retail big data analyst is in charge of this.

Analista de big data en retail

To manage the large volumes of data generated in store operations, it is necessary to incorporate people trained to work in information management into the staff, which must be taken very seriously since As a result of their work, strategies can be defined that will provide advantages for the benefit of the retailer.

big data para tiendas

The good performance of the functions of a big data analyst contributes to the fact that retail management can analyze important information from the client and from the general operations of the store, to develop action plans that facilitate decision making.

Among the functions of a big data analyst in retail are :

  1. Manage the flow of information in the store in a timely manner.
  2. Perform maintenance and updates of Business Intelligence , databases and information systems.
  3. Identify and follow up on current and potential customers through the data collected using the available technological resources.
  4. Synthesize the data collected in each area in order to support the recommended actions.
  5. Compare our data with that of the rest of the industry in order to determine the best possible business strategy.
  6. Develop periodic reports that summarize the analysis of the data, intended for review by executives and managers, thus facilitating the understanding of the information.

The importance of having a good ally

It is extremely important to make a good ally in the technological field that makes it possible to collect the data generated in the store and in general in any interaction channel that it has.

For example, it is necessary to convert customer movements into data that can be counted and for this the Latin American retail market has a technology provider that has developed innovative solutions aimed at this sector.

This is Intelligenxia Data Driven Solutions, which currently has a powerful tool that will facilitate this task, such is the case of the Advanced Level People Counting.

Conclusion

In order for companies in the retail sector to achieve a competitive advantage within this dynamic market, it is increasingly important to have effective methods for data collection and analysis.

The big data analyst in retail helps to achieve a deeper understanding of the particular information of their customers, which in turn leads to increased sales, thanks to being able to know, understand and therefore take timely measures to build customer loyalty.

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