Business Intelligence
Business Intelligence is a set of tools that can transform raw data into valid data and deliver it to the right people at the right time and with confidence. Example: I have a PSBB / PPKM and I have a clothing store that has lost profits because of Covid. What do you do, do an analysis in BI. Since the consumer segment is female, an analysis that can estimate the size of the market will then decide to sell via WA and work with local logistics services. Therefore, all business decisions should be data-based. Strategically. Also, if the company has a wide range of different departments, the results of the market data will be sent to marketing for analysis. Why you need BI: You need better and faster decisions that can be associated with less effort and allow you to see business processes transparently. What does it mean to see a business process transparently? Suppose you are the boss of your company and want to review their performance evaluation process. This is one of the features of BI. You can review the processed BI and infer from the data if there are any programs that are disabled. BI-APP What you need and the BI process:
1. Methods and programs Data mining: Use websites and input forms embedded in Batman traps to allow users to click on data to retrieve it and run Google Ads, Instagram, Facebook. It’s okay to use Google Forms / other forms.
2. Data acquisition and structuring Data is collected, variables are given, classification is done, which variables are displayed most often (mode), and so on. It is then sorted and grouped based on the data equations.
3. Conversion to information We see who sees more of our products, then we develop product strategies for our target groups. The parameters of business process conditions also use their instincts to make decisions.
BI is typically divided into four main pillars:
- Marketing
Business intelligence for marketing helps companies adapt to their customers’ needs by increasing product availability and increasing sales staff. Business intelligence is well established, and companies are investing heavily in end-user training on business intelligence tools to help them make fact-based decisions. (Supplement from the Web: How to Use Business Intelligence Effectively for Marketing! (Splashbi.com)
2. Production
BI for Production is a tool for predicting the number of products produced according to consumer needs based on data. Let’s go back to design thinking. Here you need to create a product prototype for your ad. Here I use the 1% method and send every 1% directly to the data processor without my consent. Then look at the weekly engagement results for social media promotions and multiply the data by 1% (eg Engagement: 135000). Then multiply by 1% and 135000 and the data result will be the production manager or factory. Use a partner to stay connected.
3. Human Resources
Let’s say you already have BPM (Business Process Management). With AI, we can make this activity have an output, UA/UX must report the results of its work to the system, for example using google forms. In google form upload project screenshots, tell jobs, etc. Then every month/several months, evaluate the calculation for how many times the product prototype is, how many times, employee salaries can be calculated through best-costing activities. If you use real costing, just adjust it according to the spreadsheet algorithm. Data Science must be delivered, data must be creative, imaginative, and according to what is needed in business processes.
4. Finance
Financial statements are reported regularly {if possible every day}. When debt is above assets, investors will be notified, so that investors know how big the company’s problems are, there is no lie between us.
BI app
1. There is Data
2. Collected and processed
3. Visualization
4. Decision Making (Manual/Automatic)
Example: Decision Making through Financial Reports (where the book knows what works and what doesn’t), decision making can also be based on Instagram or Facebook engagement data. If the engagement data is more than 100,000, then it will be produced, otherwise, it will be delayed/not produced.