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Introduction Why should I read the definitive guide to embeddedanalytics? 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 EmbeddedAnalytics is designed to answer any and all questions you have about the topic.
But without strong analytics, you may be leaving ROI on the table. Until now, embeddinganalytics features has been an afterthought, a luxury thats hard to justify for your application. But analytics can help you and your customers maximize ROI and maintain a competitive edge.
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.
Migrating from Oracle ERP to Oracle Cloud is a transformative journey that promises enhanced agility, scalability, and cost-effectiveness. However, the path to cloud adoption is often fraught with concerns about operational disruptions, downtime, and the complexities of maintaining seamless business operations.
Maintaining a balanced labour cost percentage is crucial for managing operational expenses while ensuring adequate staffing levels to deliver quality service. Room maintenance cost per available room (PAR) is an operational KPI that measures the average cost of maintaining and servicing each available room.
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.
The ever-growing threat landscape of hackers, cyberattacks, and data breaches makes data security a top priority, especially when integrating analytics capabilities directly into customer-facing applications. To make informed decisions, it’s crucial to understand how embeddedanalytics platforms function from a security standpoint.
SAP BPC, built for success in the yesteryears, is complex and less self-reliant for today’s agile organisations. Integration: JustPerform can seamlessly integrate with existing enterprise systems, establishing a single source of truth and maintaining data consistency across the organization.
However, Oracles native reports dont cover the full gamut of an organizations reporting needs while OBIEE requires technical expertise to operate and maintain. Buying an automated reporting tool allows users to implement a modern, connected reporting environment to Oracle that automates tedious and error-prone processes.
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. By addressing these aspects, Logi Symphony goes beyond simply embeddinganalytics.
2024 has been an exciting year in the world of embeddedanalytics and business intelligence. From self-service to AI-powered analytics, organizations are leveraging embeddinganalytics to set themselves apart from the competition. Here, we share our embeddedanalytics highlights from 2024.
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. Developing and maintaining homegrown analytics diverts focus from their core application.
Monitoring CASK trends allows FP&A teams to identify cost-saving opportunities, manage financial resources effectively, and maintain competitive pricing in the market. It provides a comprehensive assessment of service quality and customer experience, crucial for maintaining loyalty and competitive advantage in the airline industry.
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.
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. Secure data transmissions and authentication mechanisms both played key roles in the security real for embeddedanalytics.
According to our latest Finance Team Trends Report for Oracle some tasks, such as financial system maintenance (43%), management report generation (38%), or audit preparation/support (36%), are highly automated. Embrace Finance Automation Oracle-driven finance teams contend with a wide range of automated financial reporting needs.
If youre not embeddinganalytics into your app, youre forcing your users to make high-stakes decisions without a bat in their hands. Sure, building your own analytics stack sounds gooduntil your team is buried in technical debt, chasing roadmap parity, and maintaining brittle infrastructure instead of moving your product forward.
Real-World Impact: A BI Revolution in EmbeddedAnalytics Imagine a manufacturing company building an analytics app for its clients. By embedding Agentic RAG AI i nto Logi Symphony, they enable: Tailored Recommendations: AI that understands their specific operational data.
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.
Traditional data analytics models often create bottlenecks, relying heavily on overextended IT departments to provide insights, which delays decision-making and limits agility. Conclusion Empowering your team with self-service analytics tools isn’t just a productivity boost—it’s a game-changer.
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.
Boost Your Application’s Decision-Making Value with EmbeddedAnalytics The advanced analytics you need to boost customer intelligence and build competitive advantage can be found in embeddedanalytics software. No more switching between applications or relying on separate data specialists. Want to learn more?
But the biggest hit to trust comes from the lack of agility. Already tasked with maintaining critical business infrastructure, IT will prioritize other urgent needs over the report, often leading to lengthy delays. Delays in generating custom reports leave your leadership with outdated information, hindering informed decision-making.
Logi Symphony is designed to provide developers with the capabilities they seek in a comprehensive embeddedanalytics solution, from data preparation to customizable dashboards, with customization that satisfies builders’ specific needs.
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.
8 Essential Resources for Your EmbeddedAnalytics Journey These resources will equip you with the knowledge to effectively navigate the embeddedanalytics landscape, covering issues like build-versus-buy, scalability, predictive analytics, and much more. Or a sleek, modern interface?
This version of SAP encourages standardized processes to maintain performance but comes with the cost of easily being able to generate custom and ad hoc reports. These skills gaps significantly hinder an organization’s ability to progress from cloud migration planning to implementation.
Pressure for on-demand data insights is increasing as potential buyers look for intuitive, but deep analytics functionality to help navigate their business through these uncertain economic times. According to insightsoftware and Hanover Research’s 2024 EmbeddedAnalytics Report , customizable dashboards are in demand.
Logi Symphony is a suite of powerful Embedded Business Intelligence & Analytics (ABI) software that empowers Independent Software Vendors (ISVs) and application teams to embed analytical capabilities and data visualizations into their SaaS applications.
Prioritize relevant content and features that make remote users agile and efficient. Mobility Is Still Top of Mind As mobile and tablet usage grows, dashboards must adapt to smaller screens. Mobile dashboards should complement desktop views, not compete.
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.,
As a finance team member, it’s likely your main goals are to reduce risk, improve profitability, and maintain exceptional levels of compliance. To achieve success, you need direct access to accurate data from your ERP and the ability to quickly create drillable Excel reports for GL and other finance requirements.
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.
Bridging The Skills Gap: How Automation Makes Finance Teams Less Reliant on IT Access Resource Key Initiatives to Address Skills Gaps in the Workplace Given the shortage of talent finance teams are facing, they are under pressure to do more with less to maintain productivity.
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.
This becomes especially critical in embeddedanalytics, where crafting the perfect dashboard or report design with the right functionality for your users can make or break their experience.
Legacy systems simply weren’t built for today’s demands, and they struggle to deliver the agility and real-time insights that modern tax compliance requires. For businesses leaning on legacy technology, these shifts could mean more audits, steeper penalties, and costly recalculations.
Weve seen incredible technological advancements that have produced business and financial reporting tools that streamline processes, create efficiencies, bridge skills gaps, and position organizations to react to an ever-increasing pace of market change with agility and confidence.
Internal Controls : Companies must establish and maintain internal control structures and procedures for financial reporting. SOX, in the context of IT, requires companies to implement controls that safeguard the accuracy of financial reporting. This, in turn, helps maintain the overall stability and credibility of financial markets.
Efficient Resource Allocation: Embedded predictive analytics can help the development team optimize resource allocation. By forecasting demand, identifying potential performance bottlenecks, or predicting maintenance needs, the team can allocate resources more efficiently. This can raise concerns about data privacy and security.
The right solution will empower your finance team to shift from tedious data management to high-impact decision-making, driving agility, efficiency, and long-term success. Instead of focusing on forecasting and performance insights, you’re consumed by spreadsheet firefighting, stifling agility and slowing response times.
Data Loading : The transformed data is loaded into the destination system, such as a data warehouse , data lake, or another database, where it can be used for analytics, reporting, or other purposes. They are commonly used in scenarios such as fraud detection, predictive maintenance, real-time analytics, and personalized recommendations.
In today’s uncertain economic landscape, it’s vitally important to invest in agile planning processes and tools to increase forecast frequency and planning accuracy. One of the easiest ways to increase your organization’s agility is by transitioning your data to the cloud. Will transitioning to the cloud disrupt my business?
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