About the project: In this project we are creating a web based KPI Dashboard. In which we would be having different modules each handling different KPI?s, which will help user to make better decisions by analyzing the actual data and help tackle the problem and impro
Machine learning based KPI dashboard for Business Intelligence
About the project:
In this project we are creating a web based KPI Dashboard.
In which we would be having different modules each handling different KPI’s, which will help user to make better decisions by analyzing the actual data and help tackle the problem and improve the overall performance and use different future predictions that will help the company to take calculated risks and decisions.
Writing a script to map the dataset to create a database as the data is trained on three different machine learning algorithm and their accuracy is computed. It will help keep the user in touch with their business anywhere and anytime. Data visualization can be done by interactive reports and advanced charts.
For Example, we have dataset of stock exchange first the data is converted into our format then multiple machine learning algorithms are applied to the dataset and then based on these algorithms a visual representation of the stocks is displayed to the user so that he/she can know the trend of the shares or how the shares performed over a period of time and make important decisions like where to invest the money.
KPI dashboard software enables businesses to turn data into analytics and insights. The software allows organizations to enter their data into one specially designed system, or connect external services for faster and more accurate data collection. This type of software allows businesses to visualize and comprehend data from a number of KPIs that represent different areas of a business, all in one place. Companies benefit from faster and more accurate data collection, instant reports on performance, and alerts when a key performance indicator is over or under achieving. KPI dashboard software centralizes businesses data, while simplifying real-time reporting to always give them a competitive edge.
The backend would be implemented on python whereas the frontend would be implemented on Django web framework. Google Chrome would be used to run and test the application.
Setting key performance indicators lets you track the results of your efforts in ways that help you make real-time adjustments and change your strategies, if necessary. When setting KPI, include dates or sales volumes that trigger reviews.
Setting key performance indicators lets you spot problems earlier than if you simply rely on sales data to gauge your performance. For example, if your sales are high, you might not notice that you are not reaching your projected profit levels because of excess customer service and return costs. Setting customer satisfaction key performance indicators can help you spot production or service problems before you get the financial reports that would identify these problems much later.
Knowing as early as possible what marketing efforts are working better than expected and which are not allow you to shift your advertising and promotion dollars to media and promotions that maximize your return on these investments. For example, coupons from magazine ads or website traffic reports can tell you if you need to boost or cut back your spending in those areas.
Keeping actual metrics visible to everyone such as scores shows who is; and more importantly who is not performing.
A common, more organized and structured approach delivers better results. Creates best practice and process within your business.
This system will operate on desktop as well as on some browsers including Google Chrome or Opera which would include HTML5.
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| core-i5 System with 16GB RAM | Equipment | 1 | 70000 | 70000 |
| Total in (Rs) | 70000 |
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