Introduction
A suitable data analysis tool platform enables the developer to obtain, evaluate, and present data in an understandable way. In this way, it can offer valuable information to companies, bringing solutions to questions about efficiency or strategic decisions.
How do you Know if you Need Data Analysis Tools?
One might think that just having some information is enough to obtain factual data that allows a strategic decision to be made. In other words, if I have all my billing in my system, it should not be very complex to access commercial indicators, such as knowing which item I sell the most, which commercial sells the most, or in which area I have the most sales, or the three dimensions together.
However, when the need to do this type of data analysis arises, we realize that, for example, we have multiple systems that collect different information about sales. Therefore, to generate valuable data, it is necessary to mix the different types of information. Classify and analyze them to finally obtain a specific result that allows us to make the appropriate decision.
The Role of Data Analysis Tools in Management
Nowadays, monitoring and compliance with the budget and objectives and cost control have been reduce to the profile of the individual in charge of each department. In this way, tasks and decisions that were reserved for management positions a few years ago are currently being made at the departmental level.
The problem is that, in this context, each department has access only to its information. Therefore, by not combining this information with that of the rest of the company, the manager is unable to analyze. Check and predict the reason for things. Moreover, in the absence of complementary data, the manager cannot visualize the complete picture of the different situations in which he has to decide or act, so his business analytics process will be more than limited.
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How to Choose Data and Information Analysis Tools?
Choosing the correct data analysis tool is critical and should not be taken lightly. Therefore, there are a series of factors that we must consider so that these tools are handy and adapt to the needs of the company and the users.
The main aspects are the following:
1. Simple to Implement and Maintain Data Analysis Tools
The easier the data analysis tools are to implement in the company, the less cost, time, and effort they will entail. In addition, they must be simple tools to maintain. This simplicity helps improve processes and dedicate efforts to what matters. Drawing essential conclusions about the company’s progress without worrying about technical aspects, functionality, etc.
2. Data Analysis Tools that Adapt to Business Reality
In this sense, you must consider that today you may have in mind an objective to be achieve or a need to be solve. Still, tomorrow you may have another goal or need, so the data analysis tool must provide you with solutions today. Tomorrow, and the day after; if critical users can quickly adapt it without the intervention of technicians or external consultants. All the better just as the tool must process the data in the cloud. To provide your company’s users with greater mobility and agility.
3. Useful Analysis Tools for People According to Their Roles
The objective of data analysis tools is not only for the organization. To have access to information but also for all areas to adopt the solution and find the possibility of facilitating their work and improving operations and processes in general. Therefore, these analysis tools must be helpful to users according to their roles (such as data manager ) and performance areas (sales, marketing, customer service, production, accounting, etc.).
This factor seems obvious to take into account. However, a tool is often chosen for its low cost or beautiful design. But later it does not respond to the users’ needs. And if you can’t serve the needs of one key user. Then you can’t fit the needs of the entire organization.
4. User-Friendly Data Analysis Tools
Today, making life easier for users and, incidentally, for the company itself must be one of the objectives companies seek when providing employee programs. For this reason, data analysis tools must be easy to use so that anyone can start working with them quickly. Without any doubts or technicalities, and with an attractive and intuitive visual environment. Which reduces the learning curve as much as possible. Necessary to master them.
So What is the Best Data Analysis Tool?
In Spain, one of the data analysis tools that has best demonstrated high levels of excellence is Ekon Vision. This state-of-the-art software is capable of integrating with any business system that you already have implemented in your business, which allows you to extract and analyze data from multiple sources at the same time (from CRM systems, ERP, SCM, administrative programs, managers of projects, marketing, and sales tools, etc.).
The most exciting thing is that Ekon Vision is design to bring the full power of data analytics to small and medium-sized businesses. It is possible thanks to the economy of its hiring plans, its technical simplicity. And the high degree of customization with which you can configure the analytical dashboards.
Conclusion
Data analysis is a process that allows us to obtain knowledge of the underlying data information to draw conclusions that will enable informed decisions. The business and technological world is waking up. Beginning to know and use the enormous potential that the science of data analysis holds for them. As a result, numerous data analysis tools allow developers to manage, present, and conclude from the information obtained.
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