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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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SaaS: How They’re Turning Payments Into Profit Centers

Discover how top SaaS companies are earning up to $700k + and zero upfront cost with Usio Integrated Payments.

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How Investors & Strategic Buyers Evaluate Integrated Payment Strategies

Explore how integrated payment strategies impact investor and buyer evaluations. Payments are more than a feature — they’re a key to long-term success and market differentiation. They help SaaS companies offer seamless user experiences and efficient operations. Investors and strategic buyers assess these integrated payment strategies as a measure of a company's growth potential and sustainability.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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6 Reasons Why Your Integrated Payments Strategy Could Fail

If you're in the software industry grappling with integrating payments into your business model, understanding where others have stumbled can be a game-changer for your revenue goals. Discover 6 key reasons behind the struggles many face. The challenge goes beyond the technicalities of integrating a payment system; it delves into the strategic oversight of revenue shares, negotiations with payment providers, and the full exploitation of potential revenue streams.

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Embedding BI: Architectural Considerations and Technical Requirements

While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.

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10 Red Flags in Integrated Payment Partnerships: Moving Towards a Mutual Benefit

Navigate the complex world of integrated payment partnerships with this essential guide, a treasure trove of insights for software companies. It unveils ten critical red flags to watch out for, from the dangers of hidden fees to the constraints of restrictive contracts. This guide is crucial for identifying potential pitfalls and aligning with the right partners.

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How to Leverage AI for Actionable Insights in BI, Data, and Analytics

In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities? Imagine having an AI tool that answers your user’s questions with a deep understanding of the context in their business and applications, nuances of their industry, and unique challenges they face.

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The Power of Co-Branding and White Labeling in Integrated Payment Solutions

Discover how co-branding and white labeling can transform your integrated payment solution to enhance user experience and build customer trust. This article explores the subtle yet impactful differences between third-party, co-branded, and white-labeled payment integrations, offering critical insights for software companies. It's an informative and strategic guide for those looking to make informed decisions in a competitive market.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format. To better understand the factors behind the decision to build or buy analytics, insightsoftware partnered with Hanover Research to survey IT, software development, and analytics professionals on why they make the embedded analytics choices they do.

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The Art of Invisible Onboarding in Integrated Payments

Discover the transformative world of invisible onboarding in integrated payments with our enlightening article! In today's competitive landscape, a seamless and intuitive onboarding process is crucial for standing out. Learn how such a fluid process can elevate the user experience, from enhancing engagement and trust through clear, transparent pricing and quick approval, to making payment processing an indispensable, customer-centric component of the software.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.