Thus, independent Business Intelligence companies are also mushrooming. This condition creates many job opportunities and opportunities for a career in the field of Business Intelligence, including in the positions offered such as data scientist, data engineer and BI analyst.
Well, the question is, are you interested and have the desire to build a career in the field of Business Intelligence, but are still confused about how it works? What are the daily activities that you will do, if you work in the field of Business Intelligence? Here is an explanation that we have summarized for you.
1. Understanding the Purpose of Data Collection
The first thing that becomes the main reference for a Business Intelligence is to learn and understand the business domain and the scope of business goals of a company. For example, if you were asked to work on a Key Performance Indicator aka KIP to measure, would it make sense for the company to target sales of IDR 500 million per year?
Well, you can start by setting indicators for the data obtained, for example, what is the price of the product and how many customers. If multiplied, the sales result will be obtained. If it is still below Rp500 million, it means that the target will not be achieved under current conditions. You can calculate how many customers need to be added to reach sales of IDR 500 million. So you have to understand this in order to realize the goals of the company.
2. Understanding Data
Next is Understand data types and categories. So later a business intelligence will not be wrong in processing data. For example, in the case of a sales target of Rp. 500 million. You can create a detailed and concise master table. Where big companies out there usually already have a data system, so you just enter numbers. Don't enter the wrong product price into the number of customers column, for example, don't trust all the raw data that comes in. So you have to really understand the incoming data.
Sometimes there is incoming data that does not match the column so that it will make you confused. If you can be sensitive and understand the data, you will be able to avoid errors when processing the data. For example, the price of a product is in the thousands. Number of subscribers in millions. If you don't understand the data, then you might not be sensitive if there are millions in the product price column.
3. Changing and Fixing Data
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Data from many sources is processed through the ETL (Extract, Transform, Load) process. The data extraction process is carried out to ensure that only valid data enters the data warehouse, aka the data warehouse. Invalid data will spoil the analysis results and will worsen your situation. So invalid data is immediately removed and filtered first.
Then, in the transforming process, changes are made in the form of data, for example combining or separating each existing column, combining two data into one, converting data types, such as rupiah to US dollars or other conversions, as well as other changes according to the needs and objectives of data collection.
The next step that you can do is start the Cleaning process, which is the last process before the data enters the warehouse. If the data is still found to be wrong, it will be corrected immediately, which is inconsistent. The process of entering data into the warehouse alias data ware house through the data loading process.
4. Enriching Data Value
The value of the data that has been obtained previously, sometimes needs to be added to get more complete and detailed information. Addition of data value can be done by looking at external and internal sources. External data will later provide answers to phenomena that occur in internal data. For example, internal data for the Brompton bicycle company shows sales increased during the COVID-19 pandemic in 2021.
External data can be sought from the growth of car sales in general, are sales of all car brands increasing or decreasing? Which areas use a lot of cars? How did it happen? In addition to data from sales trends in the industry, you can also seek information from the mass media and other electronic media.
It turns out that there are many people out there driving cars after being at home for a long time due to the Covid-19 suppression. Driving can be the right choice to relieve boredom while at home and can get some fresh air outside.
5. Data Analysis
The data that has been processed and entered into the data warehouse is time for analysis. Many ways can be used to find out whether the data is good or not. For example, from the average, if the realization of sales in 2021 is IDR 500 million. Can be used average or average sales for the last 10 years.
If the average sales for the last 10 years is IDR 250 million. So sales in 2021 are above the average for the last 10 years and this is a positive result and good news for your company. In addition to the sales value, it can also be analyzed from sales growth, namely sales in 2021 compared to 2020. From this it will be known whether sales growth in 2021 is higher or lower than the average for the last 10 years.
There are many ways to analyze data from various perspectives and needs. With the ability to analyze, you can find out the relationship and meaning of thousands of raw data. There are a number of data analysis tools you can use, MS excel is a simple software.
6. Performing Data Visualization
Now in this last, if the data has been analyzed correctly, then it's just a matter of presenting it. You can turn it into an attractive, concise and easy-to-understand visual form. To be able to create a data visualization, you need to understand what data you are going to present. For example, for data on the realization of vaccine sales, make pictures related to pharmacy. Don't use pictures of ball accessories, for example.
Then, make sure the visuals you create can be understood by the audience in a few moments, minutes, while reading them. Here are the software that you can use to add to the attractiveness of your data visualization, namely tableau, splunk, alteryx, qlik, domo, dundas bi, google data studio and birst.
As part of Business Intelligence, you must not only be able to analyze data, but you must also have good communication skills, so that you can present and provide recommendations convincingly to internal companies or clients.
That's the information above about 6 things you will do if you have a career in business intelligence. So if you really want to have a career in the world of Business Intelligence, then you must first understand the information that we have provided in this article. may be useful!
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