The world of data analytics is changing fast as organizations look to gain competitive advantages through the application of timely data. As the analytics landscape has evolved, application teams who need to embed dashboards, reports, and other analytics capabilities in their commercial and corporate applications can choose from dozens of solutions.

As organizations become more data driven, their analytics requirements grow. The expectation to do more with their data becomes a moving target for them and the applications that serve them. To stand up to the challenge, applications must evolve to accommodate their users and ensure their success. But what do users really want? 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 pa

According to the 2020 Dresner Embedded Business Intelligence Market Study, embedded business intelligence is crucial for application success. This report explores the current state of BI and why application teams are increasingly choosing an embedded solution.

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

Selecting the right solution for your embedded analytics is crucial to the success of your application. But with so many solutions and vendors, how do you make this critical selection? Learn about the different approaches to analytics and the pros and cons for each.

If you built your analytics in house, chances are your basic features are no longer enough for your end users. Is it time to move on to a more robust analytics solution with more advanced capabilities? Follow this free guide for tips on making the build to buy transition.

Many teams, as a logical first step, choose to build their own analytics with the help of UI components. But eventually you’ll find that doing it yourself and at scale has hidden costs. Consider these 10 factors when deciding whether you should build analytics features with UI components.

Assumptions mapping is the process of identifying and testing your riskiest ideas. Watch this webinar with Laura Klein, product manager and author of Build Better Products, to learn how to spot the unconscious assumptions which you’re basing decisions on and guidelines for validating (or invalidating) your ideas. You'll learn: Why every product leader goes into a new project with untested, hidden assumptions.

Embedding analytics in software presents some unique opportunities—and poses unique challenges—to software teams. What are best practices when designing the UI and UX of embedded dashboards, reports, and analytics? What should software teams know about implementing security that works with the rest of their products? What should product managers keep in mind when adding an analytics project to their roadmap?

The business intelligence market has exploded. And as the number of vendors grows, it gets harder to make sense of it all. Don't go into the fray unarmed. This exhaustive guide with a foreword from BI analyst Jen Underwood dives deep into the BI buying process and explores how to decide what features you need. Download the guide today, and get an evaluation framework for every technical and non-technical requirement that you could imagine.

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. The Definitive Guide to Predictive Analytics has everything you need to get started, including real-world examples, steps to build your models, and solutions to common data challenges.

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.". Brought to you by Logi Analytics.

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.

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.

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.

Basic dashboards used to be enough to thrill end users. But over time, modern capabilities have emerged—and bare-minimum features are no longer cutting it. How have analytics changed? And where do your BI offerings fall short? Find out sophisticated ways to future-proof your application. Brought to you by Logi Analytics.

Every time an application team gets caught up in the “build vs buy” debate, it stalls projects and delays time to revenue. There is a third option. Partnering with an analytics development platform gives you the freedom to customize a solution without the risks and long-term costs of building your own. Learn when and why it makes sense to build, buy, or take a combined approach to embedded BI.