Why rely on Data Science?

Do you know what Big Data is? A huge machine created by Man without him even realizing it. Progress, technology and science have allowed us to make major advances in many fields. And it has also allowed us to have the ability to collect a lot of more or less useful information. 

It's the topic of the day: data science. But more than a definition, we explain how to use it to develop your business.

Data what? Short definition of Data

Data science, also known as data science, is a multidisciplinary field that uses statistical, computational, and analytical techniques to extract information, knowledge, and insights from raw data. 

Okay, we're not much further along.

You want a secret? You're a data scientist!

And yes, data science is the art of collecting and interpreting data. As a chartered accountant or business owner, this is what you do on a daily basis.

Data science is playing an increasingly important role in helping companies understand their customers, make informed decisions and optimize their strategies.

What data are we talking about? 

In today's world, EVERYTHING is GIVEN.

The way you dress is data that we will collect from your online or in-store purchases. 

Your state of health, your speed of execution at work, your philosophy of life or your budget management.

Put like that, the anxiety rises, doesn't it? 

But rest assured, all this data is not accessible anywhere and anyone.

The data used in data science are numerous and will depend on your objectives and the sources of information available. Your banker will not have the same data as your doctor, who will not have the same data as your mechanic. And yet, each of them will have a source of information to better support you.

Here are some examples of data types commonly used in data science:

1. Numerical data: your favorites as an accountant or business owner. We're talking numbers here: amounts, percentages, quantities, etc. 
2. Text data: documents, articles, messages, comments, etc. 
3. Image and video data: image analysis, recognition, anomaly detection, etc.
4. Geolocation data: address, trajectory, etc.
5. Social data: anything you like or share on social networks says a lot about your personality and taste.
6. Behavioral data: buying behavior, habits, interactions, etc.

There are many other types of data that can be used in data science. It is important to note that the data used must be relevant, of high quality, and collected in a legal and ethical manner that complies with applicable data protection and privacy laws and standards.

What will this data be used for?

Data used in data science can be used for various purposes depending on the objectives and needs of the company. 

Here are some examples of common uses of the data:

• Decision-making support

Data can be used to help you make informed, fact-based decisions. Data analytics can provide information and insights to guide your strategic, operational, and tactical decisions, whether it's to set goals, allocate resources, optimize processes, or identify opportunities for growth.

• Performance improvement

Data is also useful for analyzing your operational performance, identifying bottlenecks, inefficiencies and opportunities for improvement. For example, production data helps you optimize manufacturing processes, logistics data analysis helps you improve the supply chain, and customer service data analysis helps you improve customer satisfaction.

• Customer personalization and segmentation

The data contributes to the understanding of customer behaviors, preferences and needs, and thus allows for a more effective personalization of offers and customer segmentation. 

• Development of new products and services

Use data to understand consumer needs, market trends, and opportunities for new product and service development. Identify market opportunities, measure demand for new products or services, and optimize the product development process based on the data collected.

And more! Data is the new source of information that will enable you to act, react, understand and develop. 

Data science offers you immense potential to make informed decisions and improve your performance. At the same time, you will be able to optimize your choices, improve your knowledge and boost your productivity. And don't forget, there is nothing new, you are already the kings of data. Just remember to think bigger and better.

At Viseeon, we are working to create ethical and deontological collection and analysis processes.

Want to know more? Our team is waiting for your questions! Because we have a solution for every request.