Self Service BI: How ISVs Can Boost ROI and Empower Customers

Self Service BI: How ISVs Can Boost ROI and Empower Customers

In today's competitive software market, Independent Software Vendors (ISVs) constantly seek innovative ways to add value to their offerings, and make features more accessible.

One such area that holds immense potential is in providing embedded self-service business intelligence (BI) capabilities to customers, for better access to their data. 

By integrating Yellowfin, a leading BI platform, ISVs can deliver robust self-service BI solutions that drive substantial ROI, leverage data scientists' expertise, and reduce the total cost of ownership. This article will explore how ISVs can benefit from incorporating Yellowfin into their software and empower their customers with powerful self-service BI.

 

1) Unlocking Return on Investment (ROI):

Integrating Yellowfin into an ISV's software equips their customers with highly accessible self-service BI tools such as Yellowfin Guided NLQ and Assisted Insights, enabling them to gain valuable insights from their data without relying on external assistance.

This newfound agility and autonomy translate into significant ROI, which makes it an attractive module to purchase. Customers can quickly analyze data, identify trends, make data-driven decisions, and uncover hidden opportunities.

With Yellowfin's user-friendly interface and intuitive features, end-users of all skill levels can explore data effortlessly, leading to increased productivity, enhanced operational efficiency, and ultimately, improved business performance.

 

2) Embedding Data Scientists’ Expertise to Create Value:

ISVs who engage with their customer base are in a unique position to see and learn about good practices that drive their market segment. This unique viewpoint of innovation creates domain knowledge and expertise that data scientists can convert into a common framework for answering similar business questions across different clients.

Many ISV customers don’t have the business model to support employing their own data scientists or to create their own BI capability. For the ISV, this creates a great opportunity to embed a highly valuable commodity at less than they could create it themselves through the scale of their market presence. 

Data scientists can develop standardized data models, semantic views, and key performance indicators (KPIs) that can be easily leveraged by multiple customers. This approach ensures consistency, eliminates redundant efforts, and accelerates time-to-insights. It also reduces the cost of supporting such a deployment through a common footing. By leveraging the skills of their data scientists, ISVs can provide customers with tailored and industry-specific analytics, delivering a competitive edge inside their existing workflows.

 

3) Lowering Total Cost of Development and Ownership (TCD / TCO):

By leveraging data scientist expertise and customer experience, ISVs can reduce the cost of development and provide a rapidly evolving, and highly valuable capability back to their customer base.

Yellowfin offers a comprehensive and feature-rich BI platform that covers the entire analytics workflow, from data preparation to data visualization and general reporting. As a result, ISVs can avoid the costs associated with building and maintaining an in-house BI solution from scratch. 

Additionally, Yellowfin's embedded analytics capabilities enable seamless integration into the ISV's software, reducing development, testing and maintenance costs, while simultaneously benefiting from a product that is growing based on global trends in BI development. making it an economically viable choice for both ISVs and their customers.

 

4) Empowering Customers with Self-Service Embedded BI:

Embedding Yellowfin's self-service BI capabilities empower end-users to explore and analyze data independently, fostering a data-driven culture within organizations.

With Yellowfin's intuitive drag-and-drop interface, users can easily create interactive dashboards, perform ad-hoc analyses, and share insights with stakeholders. By democratizing data access and analysis, ISVs enable their customers to make informed decisions, spot emerging trends, and seize opportunities in real-time. 

Moreover, Yellowfin's natural language query (NLQ) functionality in the form of Guided NLQ allows users to ask questions using everyday language, eliminating the need for complex jargon and technical expertise to query data while further enhancing self-service capability.

What to use NLQ in analytics for

 

5) Embedded Analytics makes your software more “Sticky”:

The embedding of Yellowfin's self-service BI capabilities into an ISV's software makes their offering more "sticky" and increases customer loyalty. 

As customers become reliant on the powerful BI features provided by Yellowfin, it becomes increasingly difficult for them to switch to another solution. The seamless integration of BI functionalities into the core software creates a dependency and deepens the customer's investment in the ISV's ecosystem.

This stickiness not only enhances customer retention but also opens up opportunities for upselling and cross-selling additional services or advanced analytics modules, further solidifying the ISV's position as a trusted and indispensable partner.

 

To Grey Label or White Label Analytics?

ISVs embedding Yellowfin into their software have the flexibility to choose between white labeling and grey labeling options, each offering distinct value propositions.

White label analytics involves fully rebranding Yellowfin's BI platform to match the ISV's own brand identity. This approach provides a seamless and cohesive user experience, as customers perceive the BI functionality as an integral part of the ISV's software.

White label analytics strengthens brand consistency, enhances customer trust, and fosters a sense of exclusivity. On the other hand, grey labeling allows the ISV to retain some elements of Yellowfin's branding while incorporating its own branding elements. This approach strikes a balance between leveraging the trusted Yellowfin brand and maintaining the ISV's own identity. Grey labeling offers a level of familiarity and recognition for customers who value the reliability and robustness associated with Yellowfin's BI platform. 

Ultimately, the choice between white or grey label analytics depends on the ISV's strategic objectives, target market, and branding strategy. Both options enable the ISV to deliver a customized and Embedded BI solution that aligns seamlessly with their software, reinforcing their value proposition and solidifying its position as a trusted provider of comprehensive software and analytics solutions.

 

Conclusion

Integrating Yellowfin into their software offerings empowers ISVs to deliver self-service BI solutions that drive tangible business benefits. By providing customers with user-friendly analytics tools, ISVs can unlock ROI, leverage data scientists' expertise to improve their software offering and open additional revenue streams that add value to their customers built upon industry-leading best practices. 

Yellowfin's robust features, combined with its seamless integration capabilities, enable ISVs to enhance their software offerings and differentiate themselves in a competitive market. Embracing self-service BI with Yellowfin sets the stage for empowering customers, fostering data-driven decision-making, and enabling organizations to thrive in an increasingly data-centric world.

About the Author

Stephen Ball (Presales Director at Idera, Inc.) is a Chartered IT Professional with over 24 years of experience in the tech sector. With a strong background in leading ISV software development teams, Stephen has collaborated with companies such as Hilton, American Express, Fitness First, and Virgin Active, as well as smaller businesses.

Stephen's previous roles include Senior Technical Pre-sales Engineer and Senior Product Marketing Manager at Embarcadero, where he successfully launched IoT boot camps and supported academic programs. During his tenure at Nokia, Stephen played a pivotal role in shaping the company's IoT services strategy and driving advancements in AI within telco networks. Stephen is recognized as an esteemed author of white papers and is sought-after as a speaker at developer conferences.

 

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