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Ideal for: user-friendly data exploration and self-service analytics, well-suited for businesses of all sizes with a focus on intuitive datadiscovery. SAS Viya SAS Viya is an AI-powered, in-memory analytics engine that offers data visualization, reporting, and analytics for businesses.
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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. While these platforms secure dashboards and reports, a hidden vulnerability lies within the data connector.
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. Scalability : Think of growing data volume and performance here.
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.
Datadiscovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. Let’s take a look at how industries like yours are making use of dataanalytics tools to find patterns and derive insights from data. Consolidation: Automating processes is a game-changer.
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. Join disparate data sources to clean and apply structure to your data.
Application Imperative: How Next-Gen EmbeddedAnalytics Power Data-Driven Action. Although datadiscovery applications have their place, they’re not designed to seamlessly integrate with an existing application’s workflows. The Better Approach: EmbeddedAnalytics. Download Now.
EmbeddedAnalytics Brings Data Storytelling to Any Application. Data storytelling is the future of analytics. If your software company wants to truly stand apart from the crowd, then data storytelling should be part of your value proposition. The Path to Data Leadership: Embracing EmbeddedAnalytics.
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? Extend AI’s reach with seamless embedding.
Embeddinganalytics into your application? If you are using Logi Symphony to embed analytics into your application, the upcoming transition can have little to no impact on your users even if it’s hosted on a different domain. What’s changing? Google is planning to phase out third-party cookies for Chrome users in 2024.
According to insightsoftware and Hanover Research’s recent EmbeddedAnalytics Insights Report , AI and predictive analytics were rated among the most important trends of the next five years. The Impact of AI on Business Intelligence In recent years, developers have turned to AI to provide a clear vision of the future.
With Jet’s extensive capabilities for data validation, enrichment, and cleansing, it ensures that the data used for analysis is accurate and dependable. DataDiscovery and Semantic Layer By facilitating effective datadiscovery and the development of a semantic layer, Jet gives Fabric users more control.
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