Remove service analytics
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Boosting Innovation: Harnessing AI for New Product & Service Development

Leapfrogging

The Intersection of AI and Innovation Management Defining Innovation Management with AI Innovation management refers to the process and activities that organizations use to manage and nurture new ideas into marketable products and services. Market Analysis Predictive analytics forecast market acceptance and potential success.

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Has innovation changed over the last ten years?

Paul Hobcraft

From incremental to radical : Innovation used to be seen as an incremental process where organizations improved their existing products, services, or processes by making small changes. From product to service : Innovation used to be seen as a product-oriented process, where organizations focused on developing new or improved physical goods.

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4 Skills the Next Generation of Data Scientists Needs to Develop

Harvard Business Review

As reliance on data and analytics continues to expand across industries from agriculture to manufacturing, health care to financial services, it stands to reason that the next generation of data leaders will have far-reaching roles that impact strategy, decision-making, operations, and countless other functions.

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Innovation on Steroids: Next Generation AI-Powered Phases and Gates

Leapfrogging

From its inception to the current state, the processes governing the development of new products and services have continuously evolved to incorporate new methodologies and technologies. AI technologies bring a new dimension of analytical capabilities and insights that were previously unattainable.

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Insiders' Guide to Self-Service Analytics

Self-service analytics are vital for how your users interact and engage with your application. As you explore analytics solutions for your application, see why self-service analytics— and how they're delivered— can prove critical to the adoption and stickiness of your application.

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Using Generative AI to Drive Corporate Impact

TechEmpower Innovation

Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. TechEmpower has been instrumental in developing chatbots like these, utilizing generative AI to sift through internal documents and user manuals, enabling them to provide precise answers to customer service questions.

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The Future of Design Thinking: Integrating Artificial Intelligence for Success

Leapfrogging

With AI’s predictive analytics, machine learning algorithms, and natural language processing, leaders and innovators are unlocking new potentials in understanding user needs and market trends. At the core of design thinking lies a commitment to putting users’ experiences and feedback at the forefront of product and service design.

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7 Questions Every App Team Should Ask

Which sophisticated analytics capabilities can give your application a competitive edge? In its 2020 Embedded BI Market Study, Dresner Advisory Services continues to identify the importance of embedded analytics in technologies and initiatives strategic to business intelligence.

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2021 State of Analytics: Why Users Demand Better

As organizations become more data driven, their analytics requirements grow. Hanover Research recently conducted a survey that investigates the role of analytics from the perspective of knowledge workers, people who handle or use information as part of their jobs. Strengths and weaknesses of their current analytics solution.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics. But today, dashboards and visualizations have become table stakes.

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5 Early Indicators Your Embedded Analytics Will Fail

Many application teams leave embedded analytics to languish until something—an unhappy customer, plummeting revenue, a spike in customer churn—demands change. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.". Brought to you by Logi Analytics.

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How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. Brought to you by Logi Analytics. How much value could you add? This framework explains how application enhancements can extend your product offerings.

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The New Tech Experience: Innovation, Optimization, and Collaboration

Speaker: Paul Weald, Contact Center Innovator

No matter what industry you're in - healthcare, customer service, sales, and more - it’s easier than you think to reduce wait times, monitor sentiment, and provide enhanced self-service options for all of your users. This means that you can achieve a more consistent and engaging customer experience while reducing sources of friction.

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Measuring Innovation Performance

Why do only a third of the organizations worldwide have formal innovation metrics in place despite accepting that innovation is critical to survival? Download this eBook to learn about the 5 basic principles that guide every successful innovation process.