How to optimize business based on data?
Posted: Wed Jan 22, 2025 6:15 am
To optimize business based on data, you have to understand it, manipulate it, group it, and give it a life of its own. Learn about a success story
Improving decision-making with data means being sure that the information is accurate enough to make decisions based on it without hesitation. To do this, data management by businesses must ensure that it is accessible and reliable. Let's see how to achieve this.
According to the consultancy firm Gartner, “by 2026, leading stockholder database will be those that create a solid and resilient business foundation to generate new opportunities in a context of continuous uncertainty” and this is only possible if we eradicate improvisation and intuition and base the business strategy on updated data.
At PowerData, we have found with each client that the dynamics of Snowflake Data Marketplace simplifies the data pipeline and allows for “always ready” access in real time. This, in practice, represents a crucial advantage because all team members can navigate the available and necessary information at all times. And this availability of data also implies a consensual and regulated democratization from the start, which simplifies the task of data scientists and avoids frustrations and headaches in everyday dynamics.
In this way, data management to achieve a 360-degree view of the business that enables intelligent decision-making becomes a tangible reality.
And when we talk about access, quality and democratization of data, the issue of security immediately comes to mind . When companies read data, they do so to make specific decisions: choosing or suspending suppliers, designing the necessary flow and replacement of personnel in times of pandemic, improving and optimizing operations in each branch, and much more. In these cases, in addition, the combination of COVID-19 data with a company's internal data, for example, makes it possible to develop a visualization of risks codified and segmented by areas, branches, etc.
The data is verified as frequently as each company requires, responding to the need for trust that data scientists emphasize as a priority variable.
Data-driven, cloud-enabled digital transformation
Success story: Chipotle restaurant
Chipotle, a restaurant chain present in the United States, Canada, and the United Kingdom, began using third-party data during the pandemic to obtain reliable and actionable information powered by machine learning. With the brand's commitment to "being real," the data strategy they put into play focused on achieving a positive impact on their customers, employees, and even the environment.
Since March 2020, the company adopted a preventive action plan and realized that machine learning allowed it to protect customers and employees. Reliable data with almost real-time case counts that could be merged with its internal data sets was the main material with which a network of actions was put into practice in each location.
Improving decision-making with data means being sure that the information is accurate enough to make decisions based on it without hesitation. To do this, data management by businesses must ensure that it is accessible and reliable. Let's see how to achieve this.
According to the consultancy firm Gartner, “by 2026, leading stockholder database will be those that create a solid and resilient business foundation to generate new opportunities in a context of continuous uncertainty” and this is only possible if we eradicate improvisation and intuition and base the business strategy on updated data.
At PowerData, we have found with each client that the dynamics of Snowflake Data Marketplace simplifies the data pipeline and allows for “always ready” access in real time. This, in practice, represents a crucial advantage because all team members can navigate the available and necessary information at all times. And this availability of data also implies a consensual and regulated democratization from the start, which simplifies the task of data scientists and avoids frustrations and headaches in everyday dynamics.
In this way, data management to achieve a 360-degree view of the business that enables intelligent decision-making becomes a tangible reality.
And when we talk about access, quality and democratization of data, the issue of security immediately comes to mind . When companies read data, they do so to make specific decisions: choosing or suspending suppliers, designing the necessary flow and replacement of personnel in times of pandemic, improving and optimizing operations in each branch, and much more. In these cases, in addition, the combination of COVID-19 data with a company's internal data, for example, makes it possible to develop a visualization of risks codified and segmented by areas, branches, etc.
The data is verified as frequently as each company requires, responding to the need for trust that data scientists emphasize as a priority variable.
Data-driven, cloud-enabled digital transformation
Success story: Chipotle restaurant
Chipotle, a restaurant chain present in the United States, Canada, and the United Kingdom, began using third-party data during the pandemic to obtain reliable and actionable information powered by machine learning. With the brand's commitment to "being real," the data strategy they put into play focused on achieving a positive impact on their customers, employees, and even the environment.
Since March 2020, the company adopted a preventive action plan and realized that machine learning allowed it to protect customers and employees. Reliable data with almost real-time case counts that could be merged with its internal data sets was the main material with which a network of actions was put into practice in each location.