Future-Proof Your Analytics Tech Stack

September 25, 2024

Future-proofing your analytics tech stack is essential for ensuring the longevity and success of your software applications. As the final stage of the data journey, analytics transforms raw data into actionable insights that directly impact business decisions and customer satisfaction. To effectively fulfill this role, analytics systems must possess a high degree of flexibility and scalability, seamlessly integrating with diverse applications and data sources.

As a software vendor, providing your customers with a robust and adaptable analytics platform is crucial for maintaining a competitive edge. By investing in a flexible and scalable analytics infrastructure, you can empower your customers to extract maximum value from their data, drive innovation, and make informed decisions.

However, building and maintaining a robust analytics platform can be challenging. The effort it takes to develop and maintain the necessary skills within your development teams is time-consuming, especially in the face of skills shortages. In fact, our 2024 Embedded Analytics Report, found that organizations spend 30 hours or more per week addressing building customer-specific content (33%), performance issues (25%), and data inconsistencies (25%). These challenges can be costly, with organizations spending upwards of $115,856 per developer annually to address them.

Future-proofing your tech stack analytics is a matter of balancing customization with cost. Here are 4 key thoughts you should consider:

Building Analytics? The Pace of Change Demands Constant Innovation

There’s no single right answer to the build or buy question. But in the context of future-proofing, you should carefully consider the pace of change in your industry and customer expectations before deciding to build your analytics functionality in-house.

The same report found that the top reason to build an application from scratch is to ‘meet specific organizational needs’, especially for companies at the enterprise level that operate on highly customized systems.

However, building analytics from scratch can be overkill for smaller organizations that don’t need the same level of deep customization. Our report echoed this sentiment, with 54% of respondents at smaller companies stating that ‘maintenance costs’ was a key driver, compared to just 19% at larger companies.

Without a clear understanding of your specific needs and the potential benefits of customization, you may find yourself overspending on development and maintenance costs. Additionally, building from scratch is time-consuming and will delay your ability to generate value and meet customer demands.

Buying Analytics? Lean on Vendor Innovations While You Drive Value

Buying an embedded analytics solution can reduce the upkeep, but can an out-of-the-box solution cover an organization’s unique needs?

The short answer is yes, when seek out a comprehensive embedded analytics solution. Purchasing pre-built analytics software offers several advantages for future-proofing your tech stack.

• It provides access to a proven solution with a track record of success in handling complex data analysis tasks.
• It eliminates the need for significant upfront development and maintenance costs, allowing you to allocate resources more efficiently.
• Pre-built software often comes with regular updates and enhancements, ensuring that your analytics capabilities remain current and aligned with industry best practices.

In addition to these benefits, buying analytics software can also help you avoid the risks associated with building a custom solution. These risks include potential implementation delays, increased development costs, and the possibility of encountering technical challenges. By opting for a pre-built solution, you can reduce these risks and accelerate the time to value, enabling your organization to start leveraging data-driven insights more quickly.

Choosing a comprehensive analytics solution can not only help you fulfill your users’ needs, but it will also help you future-proof your tech stack. By purchasing a solution, you don’t have to worry about keeping it up to date as technology continues to change. Instead, the embedded analytics provider regularly keeps the tool updated so that users can leverage the latest technological advancements regardless of the system they’re starting on, freeing up time for your development team to focus on other value-added tasks.

You’re Still Using iFrames?

With the ability to embed HTML content into a parent website as a page-within-a-page, iFrames have been relied upon by web developers since 1997. Despite being supported by HTML5 and current web browsers, iFrames are gradually becoming more outdated. They also take up a significant amount of memory while negatively impacting SEO when added to a website.

This can pose a problem for your developers who rely on iFrames to build dashboards or other analytics functionality within their applications. It can slow the application down significantly, creating a clunky user experience. From a brand point of view, it’s simply not a good look to build your solution on severely outdated technology.

The silver lining is that there are alternatives to using iFrames, especially when it comes to embedded analytics dashboards. By choosing an analytics solution that supports iFrameless embedding, application teams can create a faster, smoother user experience that aligns with modern web development standards. This not only improves application performance but also enhances the overall user satisfaction and perception of your brand.

Keeping up with AI Evolution

In recent years, artificial intelligence (AI) has drastically changed. Before 2022, AI used machine learning capabilities to rapidly absorb data so that it could easily recognize trends, patterns, and outliers. Now, AI can generate a breadth of new work while delivering insights more accurately and rapidly than ever before.

But with AI’s rapid evolution, it’s hard to stay on top of new changes and trends. We’ve just scratched the surface of what AI can offer for application teams, and more use cases continue to emerge every date. Even if your tech stack currently includes basic AI features, do you have the expertise available to integrate more complex AI functionality in years to come?

Our Embedded Analytics Report reveals that most organizations (84%) see generative AI as the most important trend of the next five years. That’s why it’s important to keep a flexible approach to AI. As AI evolves, your business should adapt quickly and scale with it.

To help you keep up, incorporate an analytics or BI solution into your tech stack with AI features that grow with you. The right solution will allow you to bring your own language model and hot-swap it out when needed, allowing your business to evolve on the fly without roadblocks.

Cutting Edge Analytics with Logi Symphony

It’s easy to feel left behind by the rapid pace of technological change. But with the right equipment in your tech stack, you and your users can continue to seamlessly adapt with comprehensive analytics capabilities.

Logi Symphony by insightsoftware enables development teams to add powerful data analytics capabilities to any software product. Logi Symphony is an intuitive, developer-grade embedded analytics solution that leverages your existing tech stack, allowing you to quickly build, manage, and deploy your application with the powerful analytics that differentiate your product from the competition.

Logi Symphony is:

• Built to be embedded with the ability to fuse analytics components with your app, rather than sticking a dashboard in an iFrame.
• AI-Forward with the ability to integrate any AI model for flexible and future-proof analytics.
• Seamlessly scalable with containerized deployment and multi-tenancy SaaS-style user management so that you never have to worry about manually keeping up with technological change.

With a flexible and customizable solution like Logi Symphony, you can future-proof your tech stack against ongoing development needs.

Ready to learn more? Read our brochure on how to leverage Logi AI for actionable insights.

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