Embedded Analytics: Build or Buy?

Embedding analytics into products has become essential in today's market, but companies face challenges related to speed, scalability, and cost-effectiveness. The decision to build a custom solution or buy an existing one depends on a business's specific needs, resources, and long-term vision. Building a solution involves significant time, resources, and expertise in data analytics, while also requiring ongoing maintenance and updates to avoid technological obsolescence. Compliance with data governance and regulations is another critical aspect. On the other hand, buying an existing embedded analytics solution provides advantages such as faster time to market, reduced development costs, increased customer engagement, and access to expert support. Modern platforms offer cloud-based, no-code solutions that integrate seamlessly with existing products, enabling customers to self-serve and explore data efficiently. Ultimately, while the choice between building or buying rests on organizational needs, pre-built solutions like Sigma offer proven scalability, expertise, and a faster deployment timeline, enhancing customer experience and satisfaction.