This site uses cookies to improve your experience. To help us insure we adhere to various privacy regulations, please select your country/region of residence. If you do not select a country, we will assume you are from the United States. Select your Cookie Settings or view our Privacy Policy and Terms of Use.
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Used for the proper function of the website
Used for monitoring website traffic and interactions
Cookie Settings
Cookies and similar technologies are used on this website for proper function of the website, for tracking performance analytics and for marketing purposes. We and some of our third-party providers may use cookie data for various purposes. Please review the cookie settings below and choose your preference.
Strictly Necessary: Used for the proper function of the website
Performance/Analytics: Used for monitoring website traffic and interactions
Introduction Why should I read the definitive guide to embeddedanalytics? Every application provider has the same goals: to help their users work more efficiently, and to drive user adoption. The Definitive Guide to EmbeddedAnalytics is designed to answer any and all questions you have about the topic.
By hosting embeddedanalytics on Google’s cloud, application teams can keep data close to the Google tools they use every day, streamlining everything from deployment to digital transformation. Here’s what this new accessibility in Google Marketplace means for app teams and users alike.
To unlock Trinos full potential, a strategic approach to implementation is key. Intelligent load balancing further enhances performance by distributing tasks evenly across nodes, reducing the risk of bottlenecks and maintaining a smooth workflow. As data volumes grow, the importance of scaling Trino horizontally becomes apparent.
Implementation and maintenance are key challenges – do your customers have time to implement the solution? A slow onboarding process or cumbersome maintenance needs can quickly erode a user’s initial excitement. Logi Symphony offers a powerful solution: embedded business intelligence and analytics.
With customers now expecting more than ever from analytics, many development teams invested in embeddedanalytics solutions to reduce the workload and time to value for their applications. More Intuitive Advanced Functionality : We’re talking user-friendly here.
How do you know it’s time to replace your embeddedanalytics? Demand for new capabilities: If your users demand advanced capabilities and self-service analytics, using basic dashboards and reports may lead to increased customer churn. How to Find the Perfect Solution for Your EmbeddedAnalytics?
Here, we discuss three ways you can monetize data with an embeddedanalytics investment. According to insightsoftware and Hanover Research’s recent EmbeddedAnalytics Report , the overwhelming majority of development teams (84%) found generative AI to be the most important trend of the next five years.
Adaptive and Actionable Insights Logi Symphonys Agentic AI learns with every interaction, drastically reducing hallucinations and delivering insights users can trust. From context-driven prompts to tailored workflows, you can create userexperiences that set your application apart.
To find the best fit, organizations must evaluate key factors such as feature breadth, ease of use, real-time capabilities, and overall userexperience. Were dedicated to providing scale-out analytics and business intelligence to help our customers drive success.
Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Forrester Research predicts that the embeddedanalytics market will hit $16 billion in 2024.
Both product analytics and embeddedanalytics fall into this tool category. Let’s look at how embeddedanalytics differs from product analytics, and why both are useful. Product Analytics Defined Product analytics tools help product teams and managers measure the success of their digital products.
While maintaining the core functionality of your offering is essential, neglecting these differentiating features can negatively impact customer retention. Embeddedanalytics offers a strategic solution to this challenge. Why EmbeddedAnalytics? Here’s how. Infrastructure costs. Uptime and Scaling.
Your team can gain important context from understanding what is important to your users, what data means to them, and how data will shape their decisions. You may be tempted (or sometimes forced) to make assumptions based on datasets, which results in visualization driving the end-userexperience.
By providing these tools, your users can transform their raw data into actionable intelligence, driving data-driven business decisions. This technology tackles the traditional data overload by integrating analytical tools directly within your users’ workflow. However, building this feature in-house wasn’t feasible.
Already tasked with maintaining critical business infrastructure, IT will prioritize other urgent needs over the report, often leading to lengthy delays. Spreadsheet Server is now on the insightsoftware Platform , an AI-enabled integrated solution that empowers you to save time and get a much more streamlined userexperience.
2022 was a big year for embeddedanalytics at insightsoftware, bringing significant enhancements to our best-of-breed solutions. adding deeper functionality that has strengthened Logi’s self-service data analytics and visualizations. This was bolstered by insightsoftware’s acquisition of Dundas Data Visualization, Inc.,
Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to keep up with user demand. 7 Key Considerations for Your Analytics Search : The analytics and business intelligence software selection process can be overwhelming. Or a sleek, modern interface?
Differentiate your application with an embeddedanalytics solution that supports your customers’ drive for data insights and squeeze more value from your existing technology investments. Customizable Dashboards for an Improved UserExperience An engaging, beautiful dashboard is the key to every leader’s heart.
As a finance team member, it’s likely your main goals are to reduce risk, improve profitability, and maintain exceptional levels of compliance. Spreadsheet Server from insightsoftware allows you to create fully customizable reports and analyze key details, while starting and staying within the familiar Excel userexperience.
As a software vendor, providing your customers with a robust and adaptable analytics platform is crucial for maintaining a competitive edge. By investing in a flexible and scalable analytics infrastructure, you can empower your customers to extract maximum value from their data, drive innovation, and make informed decisions.
By embedding predictive analytics in their applications, businesses demonstrate an awareness of customer priorities, building trust, revenue and operational efficiency. Embedded predictive analytics offers the development team the advantages of data-driven decision making, an enhanced userexperience, and efficient resource allocation.
When AI and machine learning are utilized in embeddedanalytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics. Dive deep into augmented analytics, which uses combination of AI and machine learning to automate various stages of the analytics process.
Visualizations are the gateway to understanding; theyre how users interact with and interpret the insights derived from all the data gathering, preparation, and analysis. Heres what you might not know youre missing.
Using third-party libraries also creates some challenges with respect to security, which must be implemented separately for each UI component. Application Imperative: How Next-Gen EmbeddedAnalytics Power Data-Driven Action. The Better Approach: EmbeddedAnalytics. Download Now.
Embeddedanalytics is a game-changer for software teams developing web-based applications. It seamlessly integrates data insights into existing workflows, boosting user engagement, and enabling real-time decision-making. These software teams understand that the usage of ABI ultimately drives better business outcomes.
Self-service business intelligence tools make it possible for personnel across functions to perform analytics-related tasks themselves, dramatically reducing time to insight. This article will explore self-service analytics in detail , covering use cases, proven benefits, common objections, and strategies for implementation.
When adopting embeddedanalytics and business intelligence to enable embedded reporting, content viewed within your already accessible application should also meet your accessibility standards. The scope of these accessibility documents is to cover the viewing experience for your customers when embedded within your applications.
Understanding embeddedanalytics dashboards starts with knowing what the term itself means—so let’s break it down. Dashboards are screens or pages that display information in a unified view that makes data easily digestible for end users. What Are Embedded Dashboards? Use iconography instead of captions or other text.
An on-premise solution provides a high level of control and customization as it is hosted and managed within the organization’s physical infrastructure, but it can be expensive to set up and maintain. Version Control : Manage changes to data mapping logic and maintain a history of revisions.
This approach provides you with a unique perspective on how our offerings can be enhanced with new features and tools that help you and your end users work better. This is especially true with our embeddedanalytics offering, Logi Symphony, where we regularly solicit feedback through insightsoftware’s customer community.
At that time, SAP began rewriting its flagship ERP product, streamlining many of the features and modules and adding a personalized, consumer-grade userexperience with the SAP Fiori UX tool. SAP is focusing on the SAC version and has put its legacy Analysis for Office version into maintenance mode.
This year, Info-Tech has turned its focus to BI solutions that implement artificial intelligence (AI) to drive informed decision-making. The report includes data from 4,241 end-user reviews to find the top BI software providers of 2024. Open API and extensibility enable development of a new custom BI experience.
Although many companies run their own on-premise servers to maintain IT infrastructure, nearly half of organizations already store data on the public cloud. The Harvard Business Review study finds that 88% of organizations that already have a hybrid model in place, see themselves maintaining the same strategy into the future.
In the rapidly-evolving world of embeddedanalytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your data analysis?
Raw data can be difficult to comprehend or interpret when numbers lack meaningful insights for business users. Embeddedanalytics offers users real-time, contextual analytics within their standard workflows to transform raw numbers into easily comprehensible and actionable business insights.
Predictive Maintenance: AI and IoT sensors predict equipment failures, minimizing downtime and improving maintenance schedules. By using advanced analytics algorithms, AI can suggest design enhancements and alternatives, allowing companies to explore innovative solutions that might not be immediately apparent to human designers.
This fragmentation results in the lack of a reliable, single source of truth for budget data, making it challenging to maintain data integrity and consistency. Moreover, accessing and analyzing fragmented data sets using disparate tools exacerbates the problem, leading to a disjointed userexperience and inhibiting collaboration.
This involves the creation and prepopulation of new planning cycles, modification of business rule logic, dimension maintenance, and security profile functionality. Configurable user-friendly reporting and dashboarding. Administration functionality necessary to support planning activities.
Older versions of Crystal Reports and JasperReports, for instance, lack the ongoing maintenance needed to address emerging security threats, making them easy targets for hackers. Increasing Operational Costs Maintaining outdated systems isnt just inconvenientits expensive. Skills shortages only exacerbate this problem.
A unified EPM platform goes beyond efficiencyit improves userexperience, scalability, and security. By consolidating financial management into a single, powerful platform, organizations can streamline operations, future-proof their strategy, and maintain the highest standards of security and compliance.
With robust integration capabilities and an intuitive userexperience, Longview Close ensures faster, more accurate reporting and compliance with accounting standards. It automates and streamlines the financial close process, enhancing accuracy and reducing manual effort.
We organize all of the trending information in your field so you don't have to. Join 57,000+ users and stay up to date on the latest articles your peers are reading.
You know about us, now we want to get to know you!
Let's personalize your content
Let's get even more personalized
We recognize your account from another site in our network, please click 'Send Email' below to continue with verifying your account and setting a password.
Let's personalize your content