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Table of Contents

• What is Embedded Analytics Software?
• What are the common features of Embedded Analytics Software?
• What are the benefits of Embedded Analytics Software?
• How much does Embedded Analytics Software cost?
• Considerations when purchasing Embedded Analytics Software

What is Embedded Analytics Software?

Embedded analytics software allows software developers to integrate analytics functionalities directly into other software systems, such as accounting, customer relationship management, and human resources tools. It allows the end-users to access and leverage data analysis and visualization features within the user interface of their existing workflows or applications without the need for separate analytics software or business intelligence tools.

Using embedded analytics tools, end-users across different departments or roles can independently generate reports, access dashboards, and visualize data per their needs. This capability eliminates the traditional dependency on data analysts or IT teams for generating reports, enhancing overall productivity and decision-making.

What are the common features of Embedded Analytics Software?

• Data blending: Merge data from multiple data sources, such as various software, databases, and spreadsheets, into a single unified view for analysis and reporting purposes.
• Data visualization: Present data in visually appealing formats, such as charts, graphs, maps, and tables, to transform complex data sets into easy-to-read and understandable visual representations.
• Interactive reports: Create dynamic reports that enable flexible data exploration and analysis by filtering, sorting, organizing, and adding calculations to interact with or manipulate the data.
• Self-service analytics: Independently access, explore, and analyze data without relying on technical or analytical teams by leveraging pre-built reporting and data visualization templates.
• Dashboard: Compile charts, graphs, and tables on a single interface to track and analyze key performance indicators (KPIs) at a glance.

What are the benefits of Embedded Analytics Software?

• Provides quick data access: By integrating embedded analytics capabilities directly into existing applications, embedded analytics software eliminates the need to switch between different tools or interfaces. You can access and analyze data within your familiar workflows. You can instantly retrieve and interact with relevant data without the delays associated with data extraction or manual processing.
• Saves development time: An embedded analytics platform provides pre-built integration frameworks that simplify the implementation of embedded analytics capabilities into existing applications. Instead of developing analytics functionalities from scratch, developers can leverage these ready-made tools, eliminating the need for extensive coding and testing and significantly reducing development time.
• Enhances data-driven decision-making: The ability to retrieve, visualize, and explore data relevant to your business function empowers you to identify trends, patterns, and insights within the data in real time. These insights allow you to make data-driven decisions for your business to drive better outcomes and improve business performance.
• Provides competitive advantage: Traditional analytics processes often involve reliance on data scientists to generate reports and provide explanations, which can be time-consuming. In contrast, modern embedded analytics tools empower you to generate reports independently and derive insights to optimize your products or services. This self-service capability allows for quick adjustments to your business offerings, giving you a competitive edge.

How much does Embedded Analytics Software cost?

Most embedded analytics software solutions on the market are priced on a "per month" basis, and their entry-level pricing plans range from $3 to $20* per month. An enterprise product that's priced higher may include additional embedded analytics features such as big data analytics, ad hoc query, and benchmarking.

*The pricing included is for the entry-level/lowest-priced offerings found on vendor websites as of July 7, 2023.

Considerations when purchasing Embedded Analytics Software

• Check mobile reporting capabilities: An embedded analytics solution with mobile reporting capabilities allows you to access and view reports on your mobile devices. It provides real-time data insights in a portable format, enhancing productivity and enabling you to stay agile in a mobile-driven world.
• Opt for automated analytics: Automated analytics eliminates the need for manual and repetitive tasks, such as data preparation, cleansing, and modeling. It enables you to generate actionable insights and make data-driven decisions quickly. By automating complex analytics processes, you can save time, improve accuracy, and focus on extracting valuable insights from your data.
• Consider multi-user collaboration: Working on reports with your team in real time facilitates knowledge sharing, encourages different perspectives, and improves overall data literacy within the team and business. Collaborative analytics boosts productivity and allows for collective problem-solving, leading to more informed and impactful decisions.