How much does it cost to build a business intelligence app for the technology sector?

Standard price for a business intelligence app for the technology sector: $37,500

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What is a business intelligence app for the technology sector?

A business intelligence app for the technology sector offers users access to real-time data collected from multiple business applications. These apps help large organizations manage complex operations and troubleshoot problems by providing a centralized dashboard of important metrics, alerts, and system performance indicators. Business intelligence apps may also provide alerts about potential workflow bottlenecks or resource shortages in order to prevent service interruptions.

Business intelligence apps are much like reporting apps, data management apps, data preparation apps, and business analysis apps. They often contain key features like dashboarding, analytics, knowledge management, and document management that are common across other app types. Popular examples of business intelligence applications include IBM Cognos Analytics, Tableau Software, QlikView Analytics Platforms, Microsoft Excel Analysis ToolPak (BAT), Google Analytics, and Domo.

Here are some recent business intelligence app for the technology sector examples built with Crowdbotics:

  • A website built for a new brand in the technology sector that includes a series of custom Chrome extensions, brand development and design, and web design.

What is the typical cost to build a business intelligence app for the technology sector?

A business intelligence app for the technology sector usually costs $37,500 to build. However, the total cost can be as low as $25,000 or as high as $50,000. A business intelligence app for the technology sector 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 recent price quotes for a business intelligence app for the technology sector from Crowdbotics:

  • $10,199

How long does it take to build a business intelligence app for the technology sector?

A business intelligence app for the technology sector usually takes 136 hours to build. However, a business intelligence app for the technology sector can be built in as few as 40 hours, or in as many as 93 hours. The exact timeline mostly depends on how complicated your app is. As a general rule, it will take longer if you require highly custom designs, niche features, or non-standard release platforms.

For example, Crowdbotics produced the following recent hourly estimates for a business intelligence app for the technology sector:

  • 136

How to successfully grow your business intelligence app for the technology sector

A business intelligence app can grow rapidly within the technology sector by providing users with detailed information about their company's IT infrastructure. This type of app is often used by developers who are seeking insight into the performance of their apps. Business intelligence apps need to provide charts and graphs that are easy to interpret, as well as alerts for when something goes wrong. The ease of use of a business intelligence app is especially important for this type of app because the users tend to be technical and may not be accustomed to using mobile devices.

Risks and challenges of building a business intelligence app for the technology sector

A business intelligence app for the technology sector faces risks related to data privacy, security breaches, and improper use of sensitive data. Adequate privacy and security practices are essential for any business app that handles sensitive information (e.g., credit card information), but business intelligence apps also face logistical challenges that other apps do not. Business intelligence apps need to be able to scale up or down depending on sales volume, meaning that they must be able to develop flexible infrastructure around demand. It is recommended that you select an infrastructure provider with experience in scaling up and down services quickly, should your service prove popular or unpopular amongst customers.

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Some of the descriptions on this page were completed with AI assistance. Learn more here.