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Retail Omnichannel Success: All About the Data

Business and Tech

“The experience consumers expect is seamless and consistent,” says Steve Prebble, CEO of Appriss Retail , a retail software and data analysis company. “It’s But many retailers aren’t leveraging the data they collect. They’ve got siloed data, and the e-commerce and in-store teams aren’t always working together.”.

Data 246
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Turn Overwhelming Data into New Insight to make Strategic Decisions

Leapfrogging

Because of unprecedented uncertainty, there’s a strong desire to use data to deliver better decision-making. Yet many teams and organizations get paralyzed by overwhelming data. While data exists, many teams lack insight. They think that if they wait for more data, they’ll get the answer. Makes sense.

Data 130
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The Hyper-personalization Data and Privacy Debate?-?Solved

Tullio Siragusa

The Hyper-personalization Data and Privacy Debate?-?Solved. Data is what we share with the websites we visit. In this podcast recap blog post, we will discuss how websites store data, what goes on with the data that we share, and how we can have an option to control our data to have personalized experiences.

Data 118
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Data Innovation in Manufacturing Requires Integration

Tullio Siragusa

Data Innovation in Manufacturing Requires Integration. Technology that helps in connecting with suppliers for materials and managing product data with a digital platform makes the process faster, and more efficient. There is a need for teams and organizations to work together to overcome manufacturing challenges.

Data 118
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Monetizing Analytics Features: Why Data Visualizations Will Never Be Enough

Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.

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Trends in AI: Should You View Data as a Product?

Planview

Historically, companies had two approaches to deriving value from data. Some companies used a grassroots approach, where individual people and teams mined their own data stores for insights as needed. Neither can handle the amount of data coming in from customers and internal operations. Neither is sustainable.

Data 72
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Data Storytelling Training

InnovationTraining.org

Learn the basics of data storytelling and find training resources, articles, videos, and more. Data is all around us – from our schools, to our workplaces, and internet habits. Data storytelling recognizes that data on its own is often not enough to move people to action. What is data storytelling?

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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. 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.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today's data-driven applications. And they won’t cut it for your end users, your development team, or your business. Learn about their unique problems and how, by embedding analytics into their application, they achieved huge returns and greater value than anticipated.

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New Study: 2018 State of Embedded Analytics Report

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

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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. But by then, it may be too late. In this White Paper, Logi Analytics has identified 5 tell-tale signs your project is moving from “nice to have” to “needed yesterday.".

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How to Package and Price Embedded Analytics

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

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.