Digital transformation has brought with it a host of benefits to organizations in almost all areas, from Digital Marketing to the management of distribution channels through software and programs.
This is no exception for decision-making tools, which have also changed with the rise of technology and, today more than ever, it is essential that you know them, and more importantly, manage them.
In this article we present the 4 best tools for decision making.
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4 decision-making tools you should explore
1. Information systems
Information systems are one of the most finland email list 919532 contact leads reliable tools for decision-making and guarantee the best results.
When a company integrates all the data obtained from its processes into a single platform , it can validate and store each source for future reference.
This greatly facilitates the implementation and adjustment of new production, management or business strategies.
Furthermore, having all this information available under a single platform gives any company director or manager the possibility of using this data as a regular piece of confirmation of actions.
2. Data analysis
This activity is much more than a decision-making tool. Its value is focused on determining business models , finding opportunities and predicting market behavior.
When an organization uses data analysis, through tools such as Big Data or Business Intelligence , it opens up a host of infinite possibilities for the growth of its company.
For example, using Business Intelligence, it is possible to cleanse and transform the company's historical data - which is generally unrelated to each other - to unify it and have a clear and broad perspective of the company's operational, financial, structural and administrative reality.
Using this technological trend, you will be able to take advantage of gaps that arise in the markets, anticipate the competition and take the data generated throughout the Internet to examine products , services or any aspect of relevance to your business and meet the needs of your customers .
Now, data analysis can be divided according to the objectives that are set for it, for example:
descriptive : historical information that, when simplified and entered into a database, allows for a simplified and understandable view of the activities and processes that are and are not yielding results.
predictive : this is where Big Data comes in, which with correct application and reading, can achieve correlations between variables and determine possible scenarios that may occur and thus "predict" market behavior, competition, among others.
prescriptive : with the data already organized and studied, prescriptive analysis allows for determining routes and quantifying the effect of decisions in relation to achieving the company's strategies.
