What is a data mining app?
A data mining application is a web, mobile, or desktop application that analyzes user data to identify patterns and trends in order to discover previously unknown information. Data mining apps typically offer a dashboard for displaying performance metrics and summary reports.
Data mining apps are similar to all other business intelligence apps, including project management apps, supply chain apps, and expense management apps. The most common data mining application is Google Analytics – a dashboard for tracking website traffic.
Examples of data mining apps built with Crowdbotics:
- An NFC-enabled cryptocurrency web and mobile app with top of the line security features that allows the general public to buy and sell crypto currency at current market trade value.
- A data marketplace built for the e-commerce industry that allows people to advertise certain data sets from users to enterprises.
What is the typical cost to build a data mining app?
A data mining app usually costs about $37,500 to build. However, the total cost can be as low as $25,000 or as high as $50,000. A data mining app with a low number of features (also known as a minimum viable product, or MVP) will be more affordable than an app that includes all intended functionality.
For example, here are some previous data mining app price quotes from Crowdbotics:
How long does it take to build a data mining app?
A data mining app usually takes 3433 hours to build. However, a data mining app can be built in as few as 100 hours, or in as many as 10000 hours. The exact timeline mostly depends on how complicated your specific app is. As a general rule, it will take longer if you require highly custom designs, niche features, complex logic, or non-standard release platforms.
For example, some previous data mining apps build with Crowdbotics received the following hourly estimates:
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Crowdbotics has quoted and built hundreds of applications for teams of all sizes. Browse our historical estimates by industry and app type to understand possible costs and considerations.
How to successfully grow your data mining application
A data mining app collects and analyzes information about its users. Data mining apps grow by continuously improving the way that they mine, analyze, and display user data to their customers. Data mining apps also grow by adding new features for new types of users. For example, new features could be added to the app for business users or students in order to capture underserved markets.
Risks and challenges of building a data mining application
Data mining apps face privacy risks related to the collection and storage of user data, whether by the app owner or by third-party advertisers. These apps also face legal risk if they are collecting data that users do not understand is being collected or that they did not consent to sharing. Before developing a data mining app, it is recommended that you consult an attorney about privacy laws in your target market.
