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3 Use Cases for Embedded BI in 2022 to Enhance Your SaaS Product

As data takes the center stage for many organizations, data experts and business leaders are figuring out how to analyze it all. The total amount of data created, consumed, and copied globally has reached 64.2 zettabytes in 2020 and forecasted a CAGR of 19.2% from 2022 to 2025. In other words, we need better tools to leverage it! Organizations today leverage their data to provide better services, build better products, and create new revenue streamlines.

Top 3 Data and Analytics Trends to Prepare for in 2022

The past two years have seen significant disruption across sectors, markets and technology dynamics, forever changing the way businesses, workers, and customers use data. But while global conditions have created uncertainty, it’s also driven more opportunities for organizations to optimize processes to respond faster to evolving customer demands, competitor shifts, and new risks - leveraging new, innovative data solutions.

Build or Buy Embedded Analytics: What's the difference?

Companies nowadays are well aware of the importance of embedded analytics when it comes to being data-driven. Today, building your own analytics infrastructure into your software applications for your customers is not the only option anymore. There is a growing market of embedded analytics tools that offer purchasable solutions for data analysis.

What Does Embedded BI Really Mean? OEM Reporting Tools Defined

More people are looking for more efficient BI products to integrate into their applications in 2022, and want to know exactly what embedded BI solutions mean for their users. This article will define embedded BI, explain its growth in popularity among software users, and why we suggest Yellowfin as your embedded BI solution for better analytics.

5 benefits of modernizing your application's analytics with embedded analytics

As an ISV company selling a SaaS application, you have built analytics into your software because you know customers highly value insights into the data that's held within your application. Giving your customers business intelligence (BI) and analytics within your application offers them a window of insight into the data to help them optimize their business. You deliver more value which boosts end user adoption and means your client buys for longer.

The 7 Ts of product-Led Transformation

Transformation is a word that isn’t commonly favored by the product community. Why? Because transformation programs rarely allow product teams to autonomously decide how they will achieve their mission. Transformation programs also incur significant costs. According to CIO Magazine, global spending on digital transformation technologies and services was US$1.3 trillion in 2020, of which 70% of that spend is wasted. That is approximately $900 billion.

Your Digital Transformation Program is Wasting Your Money

The amount of money invested in “Transformation Programs” is staggering. In the past 20 years we have seen Digital and Agile Transformation Programs grow and swell to $1.3 trillion dollars in 2020 alone. According to the HBR, 70% of that spend is wasted. Many companies miss a key component in their Transformation Program. How will a Product-Led Transformation be different?