products data-analytics 
helloFUTURE
JULY 17, 2023
In today’s increasingly digital world, data is the new gold. In product development, data and analytics can be a game-changer. Every click, every swipe, and every interaction generates valuable information that, when harnessed correctly, can offer deep insights and drive innovation. …
Acuvate
APRIL 10, 2020
How Different CPG Companies Are Leveraging Big Data & Analytics for Marketing and Product Innovation Compared to businesses in other industries, the ones in the Consumer Goods (CG) industry spend a colossal amount of money on marketing and advertising.
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Leapfrogging
MARCH 19, 2024
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.
Leapfrogging
MARCH 19, 2024
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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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. Embedded analytics offers a strategic solution to this challenge. Here’s how.
TechEmpower Innovation
MARCH 4, 2024
Post-sale, AI analyzes customer data to improve service and loyalty, making it a cornerstone of modern sales methodologies. This AI-centric approach transforms sales into a data-driven field, emphasizing efficiency and personalized customer experiences.
Leapfrogging
FEBRUARY 28, 2024
From healthcare to finance, AI’s ability to process vast amounts of data at unprecedented speeds has revolutionized traditional practices. 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.
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The world’s favorite applications use predictive analytics to guide users—even when they don’t realize it. No wonder predictive analytics is now the #1 feature on product roadmaps. By embedding predictive analytics, you can future-proof your application and give users sophisticated insights.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets. Manufacturing corporations across the U.S.
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Embedding dashboards, reports and analytics in your application presents unique opportunities and poses unique challenges. We interviewed 16 experts across business intelligence, UI/UX, security and more to find out what it takes to build an application with analytics at its core.
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Organizational data literacy is regularly addressed, but it’s uncommon for product managers to consider users’ data literacy levels when building products. Product managers need to research and recognize their end users' data literacy when building an application with analytic features.
Speaker: Logi Analytics
Join us on October 19th & 20th for Logi Spark 2021, the premier event dedicated to helping application teams create engaging state-of-the-art analytics. At this free virtual event, your team will learn practical tips from the pros to help turn your product roadmap into a reality and generate value for your end users.
Speaker: Ashley Carroll, Partner, Social Capital
In this session, we’ll look beyond revenue as the primary metric in product analytics. What other metrics are applicable as your north-star, and how do you establish reliable data sources? By taking an experimental approach to your KPIs, you’ll establish more useful analytics that reduce churn in the long term.
Speaker: Sunil Parekh, Head of Product Management, SimplyInsured
Data can be qualitative or quantitative, and comes from multiple sources: customer interviews, product usage & funnel analytics, company financial performance, and internal stakeholders. How do you use that data to create a product roadmap that is aligned with your organization’s business objectives?
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But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.
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