How and why to verify the quality of the data collected?

All decision-making within a business must be carried out based on planning and the use of information. In this process, data quality is decisive to know if the action will be successful or not, and that is why the way in which the collection is carried out is also fundamental. Thus, the data collection methodology directly impacts the quality of the data that will be collected.

Thus, using strategies that are thought out in the business context is ideal, since the specificities of the company must be taken into account. With the immense volume of information that can be collected, it will be necessary to carefully evaluate what is really relevant to the organization and what is not so interesting, adopting some strategies, such as Time Intelligence.

To avoid wasting time with irrelevant information, check out how and why to verify the quality of the data collected.

How to evaluate the quality of the data?#

It’s not uncommon to find companies that believe that all information collected is important. However, it is necessary to carefully evaluate the quality of this data. This starts from the beginning of the process, such as when choosing the methodology that will be used for the collection and, subsequently, results in the analysis of the data.

Investing in data quality is essential to have more satisfactory results. Thus, it is necessary to evaluate how the information was collected, prepared, stored, and manipulated. With the Data Quality Assurance method, it is possible to maintain an up-to-date, secure, and efficient database.

Check out this article we wrote about Business Intelligence.

What factors need to be considered in the assessment?#

There are several factors that need to be taken into account to evaluate the data collected. One of the main points is the quality of the information, since they must be accurate and consistent. Thus, it is necessary for them to help with decision-making within the company’s niche market.

The analyses are based on predictive and non-predictive. The predictive ones are intended to predict market trends, and the non-predictive ones identify the periods in which there was better revenue, higher productivity, and even better performance in each sector. In this sense, it is necessary to know some aspects well, such as:

• the organizational culture of the business;
• the customer profile;
• competition;
• the market.

How does poor data quality affect the company negatively?#

There are a number of losses that poor data quality can cause to the company. Using the wrong methodology or supporting decisions based on inconsistent data directly affects business health. The problems generated can affect not only companies, but also the organization’s customers.

Poor quality and poorly managed data can generate financial losses, putting the company at risk. In addition, productivity and performance within the business can also be affected, as erroneous decisions are made.

Therefore, the ideal is that, if necessary, a new collection of information should be carried out in order to obtain data quality. Through research, tests, and other methods, it is possible to harvest something that is truly relevant to the company’s decision-making. Thus, business growth, greater competitiveness in the market and optimization of production processes are guaranteed.

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