Predictive analytics
what is thePredictive analytics?
Predictive data analysis or Predictive analytics it is the task that a company carries out in order to anticipate a result and act based on this data, being able to favor the fact that it happens (if it is positive) or avoid it (if it is negative). Basically, we could say that what is sought is to predict the future.
A correct strategy ofpredictive analytics It is developed in three levels:
Types of Campaigns
- Descriptive level: a general observation of all the data that is owned.
- Diagnostic level: the cause of the analyzed events is established and, if you want to do a deeper analysis, you can look for patterns.
- Predictive level: we proceed to establish predictions of what could happen based on the analysis of the data collected.
- Prescriptive level: establish what will be done to stimulate the event or prevent it.
- It should be noted that this type of analysis is carried out strictly following a series of steps. It is also essential to know very well what the objective or objectives are being pursued and the strategy that is intended to be carried out to achieve them. To be able to see the expected results, you will have to follow this method row by row:
1-Knowledge of the business: here we talk about the strategy to follow according to the sector in which you move.
2-Knowledge of the data: we must know what we are looking for, determine which data will help us to achieve it and discard everything that does not lead us to anything.
3-Creation of a model: here it will be convenient to make a diagram or synoptic table indicating the objectives we are pursuing and the means by which we will carry them out.
4-Implementation: already with all the work done, we will put our strategy to work.
what is thePredictive analytics
All this allows a company to develop a profitable business model. It is possible, for example, to detect the imminent exhaustion of a certain stock and undertake a campaign to promote another product of which we do have a larger quantity. Predictive analytics has several functions and we will need to know exactly what the problem is that we want to solve in order to know exactly what questions we want to ask the data.
With a good predictive analytics we will be able to: reduce costs, reduce time and collect valuable information.
Examples of Predictive Data Analysis
A clear example of one predictive analytics is the custom audit service offered by Daimatics.agency. In this process, the agency is responsible for collecting all the historical data of your website and defining a budget seo that is in accordance with the needs of your project. Among this data, predictive techniques are used to know what can be expected over time and how to act based on this knowledge.
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