Business Intelligence Buyer's Guide

What Product Managers Need to Know About Embedded Analytics

What Product Managers Need to Know About Embedded Analytics

What Product Managers Need to Know About Embedded Analytics

Solutions Review editors created this short resource that helps product managers need to know about embedded analytics. For an even deeper evaluation of top embedded analytics software, we recommend using Qrvey’s Retro Analytics Guide.

Product managers are responsible for leading the development and execution of a product strategy, from ideation to launch and beyond. They play a critical role in the success of a product and work closely with cross-functional teams, including engineering, design, sales, and marketing, to bring a product to market. The main responsibilities of product managers include defining product vision and strategy, conducting market research, gathering and prioritizing product requirements, defining the product backlog, collaborating with cross-functional teams, measuring product success, and more.

Product managers are crucial in defining the product strategy and working with cross-functional teams to bring the product to market. They are responsible for ensuring the product is developed and launched successfully and delivers value to customers. Product managers need to be flexible and able to adapt to changing market conditions, customer needs, and technology trends to ensure the success of a product. as well.

Embedded analytics is a rapidly growing trend in business intelligence and data analytics. It involves integrating data analytics and business intelligence capabilities directly into an application or product, providing users with real-time access to valuable insights and information within their workflow. Product managers must be familiar with embedded analytics to develop and launch products that leverage this technology effectively. In this article, we will explore what product managers need to know about embedded analytics.

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What Product Managers Need to Know About Embedded BI


Understanding the Benefits of Embedded Analytics

Embedded analytics provides several benefits for products and users, including improved customer engagement, enhanced user experience, and increased business value. By embedding analytics directly into a product, product managers can provide customers with relevant and actionable information in real-time, improving the overall user experience. In addition, embedded analytics can provide a competitive advantage by offering unique insights and information unavailable through traditional analytics solutions.

Product managers also need to understand the business value of embedded analytics. By leveraging data to drive product development and decision-making, product managers can improve product performance, increase efficiency, and achieve better results. For example, a product manager for a retail company might use embedded analytics to understand sales trends during a particular time period, or to identify which products were most popular among customers during a specific holiday season.

Integrating Data Sources and Workflows

Product managers need to be familiar with the technical aspects of embedded analytics in order to effectively integrate data sources and workflows into the solution. This includes understanding the different types of data sources, such as transactional data, log data, and sensor data, and how to effectively integrate these sources into the embedded analytics solution. In addition, product managers need to understand the various data management and transformation techniques required to prepare the data for analysis.

Ensuring Data Security

Data security is a critical concern for product managers when developing and launching embedded analytics solutions. Product managers need to be aware of the security measures and best practices that need to be in place to ensure that customer data is protected. This includes measures such as encryption, data masking, and role-based access control, as well as compliance with industry standards and regulations such as the General Data Protection Regulation (GDPR) and the Health Insurance Portability and Accountability Act (HIPAA).

Designing the User Interface

The user interface is a critical component of embedded analytics, and product managers need to understand the design considerations and best practices for creating an effective and user-friendly interface. This includes understanding the user needs and preferences for accessing and utilizing the analytics within their workflow, as well as the various data visualization options and the level of interactivity required. In addition, product managers need to consider factors such as scalability, performance, and user adoption when designing the user interface.

Measuring Product Success

Product managers need to use data and customer feedback to measure the success of a product and make data-driven decisions to improve the product over time. This includes setting metrics and goals, tracking key performance indicators (KPIs), and conducting regular customer surveys and focus groups to gather feedback on the product. By measuring the success of a product, product managers can identify areas for improvement, adjust the product roadmap, and make informed decisions about future product development.

Final Thoughts

Embedded analytics is a powerful tool for product managers, providing valuable insights and information that can drive product development and decision-making. By understanding the benefits and technical considerations of embedded analytics, product managers can effectively design and launch products that leverage this technology. Whether you are a seasoned product manager or just starting out, it is important to stay up-to-date on the latest trends and best practices in embedded analytics to ensure the success of your product.

For an even deeper evaluation of top embedded analytics software, we recommend using Qrvey’s Retro Analytics Guide.

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