Companies that decide to enter the world of Big Data have to consider the benefits that the granularity of the data will bring to their businesses. At Upicus we bring you closer to the world of technology and data so that you can enrich your business.

The greatest value of Big Data is in applying advanced analytics, that is, statistical analysis and machine learning to make informed decisions.

Nowadays, having a data visualization tool is a competitive advantage over the competition. With our Upicus software, large volumes of data and information can be analysed in dashboards. In addition, the users themselves will be able to configure them according to their needs.

What is the granularity of the data?

When we speak of data granularity, we refer to the level of detail with which information is stored and analyzed. For example, a company that sells groceries may record what it sells on a daily basis and, on the other hand, record information on salary payments on a monthly basis.

The possibility of analysing the information in greater depth will depend on the level of detail with which the data is stored.

On the other hand, it is also important to mention that the granularity of the data works in conjunction with the aggregation. If we extrapolate it to the databases, it is a calculation that is made over several rows and does not produce a single result.

What is relevant for companies is the level of granularity of their business data to be able to make appropriate decisions. If the data of all sales is added, it will be possible to analyse the sales in the last year of a specific product. Therefore, you can make queries and have a response from the data analysis in an agile way.

The key is that it is the same company that defines the granularity of the data for each of its processes.

Practical applications of data granularity at the enterprise level

The key is that it is the same company that defines the granularity of the data for each of its processes. Which allows you to apply your business intelligence in the most efficient way possible.

To make it easier to understand in business terms, we will refer to some cases where granularity adds value to business.

First, we address a practical application of the granularity of data in the case of companies in which their employees have to make a large volume of phone calls.

From a phone call we can obtain a lot of data in detail, such as the time that the conversation has lasted. In the case that we wanted to analyse the duration of all the calls that have been made during one day, we would move to greater granularity because the detail is lower.

Another practical application can be the data obtained by a marketing department from different social networks. As an example, a company can know the acceptance that consumers have associated with a product or service that they have in the market. All data can be collected in its minimum granularity and treated with Big Data techniques. Taking into consideration the comments, photos, videos, etc.

In Upicus the information is registered automatically and we have it available in real time. It is a great competitive advantage to have software that automates and improves processes. The companies that have implemented it have gone from making decisions based on assumptions to having an entire data log in one place.

In short, the most productive organizations are those that have very detailed information and, in addition, know what is happening at all times.