The business intelligence, or business intelligence, is the order of the day in many companies. Is about data analysis and management, to use in decision-making processes. In this aspect, the Big data multiplies the relevance and usefulness of BI for companies by Allow broader analysis, dynamic and multichannel..
Despite its current relevance, sometimes it has given rise to complicated processes due to the excessive complexity of its administration, fundamentally if it is carried out without the help of experts in the field for its correct analysis. And progressively examining the data in detail, We call Small data, that complements in Big data. Here we show you what we are talking about.
Which is the Small data?
The data maelstrom that a corporation can create on a day-to-day basis may not make sense. But if there is a procedure that converts this data into information, the situation is very different.
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With the Small data We want to use specific data, in less volume, but that are more related to our business. In other words, those who are closer to us and therefore who will help us make decisions that provide greater added value to our customers.
With the Small data, without getting to the detail of the Big Data, we can understand this data in a simpler way. Data analysis is done in a more orderly and achievable way, since it is presented with afmore visual format. In other words, on a smaller and more personalized scale than Big data. A) Yes, it is feasible to move from abstract data to concrete and understandable information. Thus, it is easier to be able to transform data into decisions of a more agile way. It's about getting to know your customers better, your tastes and preferences, for a more personalized service.
Advantages of Small data
The Small data and the Big data they complement and need each other, since they provide different perspectives on the same problem. Thanks to the application of Small data, four characteristics can be improved for the most correct analysis of our business:
- Show: The information obtained can be easily viewed, which facilitates its understanding.
- Affordable: The Small data easy to use for most companies. With the, focus only on what they consider most relevant in the short term for their business.
- Noise: Small data volume means little noise, In other words, little ancillary or directly irrelevant information.
- Context: In a data analysis, the context in which we must make the decision should never be lost. It's not about simple numbers and percentages, rather, we must ensure that they have real meaning in a specific setting. Not paying attention to this context, or take an inappropriate one, it will generate the same problems as if we were using incorrect data.
In conclusion, in any Decision making, while performing a detailed study and aware of all the possibilities and possible consequences thereof, it is also essential take stock of effort What are we going to do with the data we have and the expected benefits of the decision made. And it is to such an effect that Small data can you help us.
Written by the team of seizure
