6 Reasons Why Data and Analytics Are Key to Digital Transformation

Business, Technology

Today, digital business, but also every digital process, has never been easier given the transformation that has taken place. The key to digital development is data analytics. Thanks to these systems, a revolution has arisen when it comes to data management, and all this would not have been possible without the tools used in the process. This is the basis for management and it is run by everyone who starts or already runs their own business.

That is why there are more and more experts around us who are attending great digital achievements. If you want to know more about the importance of data and analytics, keep reading. Learn all about this kind of organization that is responsible for the success of the digital transformation. Date and analytics are the most important strategic priorities.

Source: Growth Business

1. The main weapon of leading organizations

So, when we talk about various organizations, we have to look at competitive relations. Every company knows that progress in revenue cannot happen without the acquisition of certain competencies. And so we come to the necessary capabilities when it comes to data organization and analytics. This is exactly their key strategic pattern for increasing the value of the business. Without that, such organizations would not be able to have the status of leading companies that resist competitors. However, an indispensable part of the mentioned abilities is more promising decisions. That is why progress in the organization of data and analytics is one of the requirements of the company.

Luckily, there are many tools that can help companies better organize everything. As experts from DataShift told us, numerous tools revolutionized the data governance world over the past couple of years. And that is very everyone should look for the solution of problems.

Source: Frost & Sullivan

2. Increase efficiency

This is another reason for the transformation, because thanks to that, many companies can prevent unnecessary burnout of employees at work. In addition, many companies use this as an opportunity to successfully measure employee performance and thus get a detailed view of the situation. Something like this is applied in relation to customers and potential customers. However, software tools are a reliable way to achieve greater efficiency in the work of the company and its members, as well as customer relations. Optimization goes further and further, and employees have to work less and less, which results in great business. So, more and more people are getting into marketing analytics.

If you are wondering exactly how this efficiency comes about, we will explain it to you briefly. The fact that many companies use data analysis as an integral part of a business strategy does not mean that they are using its full potential. However, successful companies know that they need a good organizational structure in order to be able to automate the whole process as well as possible. It is also important to engage leaders in this process, and their main task is to successfully link analytics and marketing. Of course, there is someone above the leader and that is the head of analytics. He is the main one in charge of raising the level of importance of the process and is focused on better, not bigger tasks.

Source: Behavioral Signals

3. Prediction

This is the most significant benefit for manufacturers today, because based on an analytical approach to the database, it is possible to predict customer behavior. Only on the basis of the analysis of the historical transaction of the customers can the necessary information be obtained, which indicates the loyalty of the customers. Then a complete picture of his account was obtained, which is identified by analysis. When the part of the account is inspected, it is possible to predict which accounts will be closed and which will not. Some great marketing decisions and strategies are based on that.

Of course, the improvement of this process is achieved by advancing the analytical work. Considering today’s digital models, a large amount of data is collected. This means that the probability of predicting success is much higher.

Source: Sales process

4. Sales process

It is impossible to enjoy this success if the sales volume is not maintained. The point is that the scope is constantly expanding, but it is difficult to predict success if you do not get useful feedback. Here, data analysis plays a key role, because in addition to predicting the movement of customer transactions, it offers the possibility of identifying a priority group of customers. So, many companies offer their loyal customers the option of rating. On the other hand, software constantly monitors this process on the basis of which a final assessment is made.

Depending on the total value and results, preference is given to customers who have contributed to higher value. So salespeople perform optimization using these digital tools that track the sales process.

Source: Atlas Logistic Network

5. Supply chain

For example, focus for a moment on the automotive industry. When you think of yourself as a car manufacturer, you will realize that there is a constant concern about resource costs and production cycles. The problem is due to lack of efficiency, but there is a solution. Regardless of the type of industry, any company can introduce a system that allows them to regularly monitor inventory levels and automation at the same time. So, data analytics allows companies to do just that. Thanks to that, the supply chain is also improved so that incredible accuracy is achieved. We want to emphasize how the whole process was rationalized in this way. And that means a big contribution to digital transformation.

Source: CIO.com

6. Learning and experimentation

Without learning and experimenting, high goals cannot be achieved, but with the help of marketing analytics, you can learn more about the customer than you think. This is exactly the opportunity to try it out. So, in this way, it can be established what works more or less, which is very important. Before using analytics for this purpose, traditional methods involved almost guesswork. It was difficult to predict the movement of customers and often wrong conclusions were drawn. That is why now large companies know how to use their digital tools properly and for what purposes.

Conclusion:

The whole path of digital transformation is permeated with ups and downs, but it is a constant process that will never stop. An increasing number of companies are implementing state-of-the-art digital tools that enable various processes to be transformed, and analytics is a key part of that. The business situation cannot progress if the situation is not properly monitored. Thus, adequate measures are taken later with the aim of improvement.

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