Although similar, BI and Big Data are not synonyms. They are closely related concepts, even “cousins,” that correspond to different data sources and analytical styles, with Big Data having a broader focus.
Don't worry, we'll explain it to you.
You already understand what business intelligence is, right?
A concept that seeks to find answers to questions restricted to the company by reading business and market data.
This process is carried out by analyzing structured data (an organized database, for example), which is cataloged and classified in a specific system.
Big Data is something with a greater reach.
When we talk about “Big Data”, we are referring to the large mass of data present in the digital environment: data that, for the most part, is unstructured.
These include photographs, images, voice files, text files, etc. Each company can use this data as it wishes. However, technology is needed to collect, store, and process this different information.
Do you now understand why working with Big Data is a bit more complex than BI?
In BI, your tools are fed with structured data, which portugal whatsapp data comes from a source that you know, since you programmed them to perform this exchange. Their analysis is faster, as is their processing.
In this way, it is possible to answer specific business questions.
In the case of Big Data, processing is slower and more complex. After all, giving new meaning to unstructured data is a real mission.
Typically, the resource is used to seek broader answers related to the market or consumer preferences.
7 reasons to invest in Business Intelligence
A wrong decision can represent a huge risk for your organization. In this sense, wouldn't it be ideal to take fewer risks and guarantee positive results for your company?
Business intelligence is a strong ally for transforming a large volume of information into advantages for business development.
BI systems are accompanied by software that eliminates bottlenecks in processes that are normally carried out manually, such as recording information, archiving documents, duplicating data and outdated numbers, for example.
All intelligence collected is monitored and evaluated with reliable metrics and indicators.
That is, with historical analysis it is possible to have a broad idea about future decisions, predicting scenarios and identifying opportunities.
It is also possible to identify new market niches and stay ahead of the competition by addressing consumer concerns, reviewing partnerships and adapting more easily to changes in the economy.
Among other benefits that this process brings, we can point out:
1. Assistance in decision making
The data comparison and reporting process allows you to analyze scenarios more efficiently and accurately.
Thus, each decision is made based on assertive information, with controlled risks and even high levels of predictability.
2. Competitive advantage in the market
With greater knowledge of your processes and how customers perceive your company, you can plan more efficiently.
After all, you will learn about trends, consumer behaviors, and competitor actions.
This way you will always be one step ahead of the market, gaining a greater competitive advantage.
3. Improvement in internal processes
An optimized company aligned with a business intelligence strategy knows how to look inside its structure and find errors and opportunities for improvement.
This way, your business does not “slip” in the mud and achieves operational improvements with short-term impacts.
4. Presentation of data on consumer behavior
Do you really know your consumer or do you just think you do?
BI gives you greater power over your history, allowing you to understand your profile and map trends.
Furthermore, with a complete browsing history and user behavior, it is possible to identify the challenges they face in the purchasing process, their main difficulties and doubts regarding their product, promoting the so-called Customer Experience.