Data science at the service of business

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shukla7789
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Data science at the service of business

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Discover the benefits and best practices of information management so that data science can serve your business.

Sep 1, 2022
The vast amount of data that people generate every day through the various activities they perform has become one of the most valuable assets available to companies. Purchases made on websites, interactions on social networks and banking transactions carried out on technological devices are stored and available to be explored.

But the analysis of this large volume of vnpay database requires an effective methodology to detect trends and identify relevant characteristics to develop knowledge, extract value and use it for decision-making, and data science becomes a great ally for these objectives.






87 % of executives worldwide agree that data is the most important competitive differentiator in today's landscape.

Source: Snowflake





The contributions of data science to companies
Data scientists have a solid knowledge of statistics, mathematics and computer science. Data mining, information management and data storage, procedures that provide competitive advantages to companies, are also aspects that they handle with ease. For this, the exchange of data between the different areas of the company and with external users and clients is essential to provide them with valuable inputs with which to discover patterns, improve processes and make predictions.

How does this knowledge translate into concrete benefits for organizations?

Risk and fraud mitigation: Statistical methodologies and models allow you to identify data that stands out for its anomalous behavior and create alerts to respond in a timely manner when unusual operations are recognized.

Offering relevant products: Data science makes it possible to detect when and where to offer products and services and make innovative developments to meet consumer needs.

Personalized customer experience: Analysis of behavioral and consumption patterns and segmentation according to buyer characteristics gives sales and marketing teams the ability to understand their audience at a very detailed level and with a 360-degree view of them.

Direction of actions based on trends: examining and exploring the organization's data facilitates the definition of objectives to improve the institution's performance and increase profitability.

Data-driven decision making: Collecting and analyzing data from multiple channels in a harmonious way allows you to simulate potential courses of action and strategies to assess which option will yield the best administrative, commercial, operational or financial results.
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