How to drive analytics adoption with generative AI Your customers and users expect generative AI analytics capabilities in the apps you’re building and delivering. If you don’t deliver it, your competitors will. According to a just-published Battery Ventures survey, enterprise buyers are adopting AI and machine learning, finding that 79% of respondents plan to consume … How to drive analytics adoption with generative AI
Sisense is honored to announce our recognition as a top software provider in Ventana Research’s 2023 Buyers Guide for Analytics and Data. Ventana recognized Sisense’s leadership across a broad range of areas, including Analytics and Data, Augmented Analytics, Embedded Analytics, Collaborative Analytics, and Mobile Analytics. What is Ventana’s Buyer’s Guide? Ventana’s Buyer’s Guide is a … Sisense recognized as a leader in Ventana’s buyer research
With the introduction of Compose SDK, software engineers and developers can add analytics powered by Sisense into any web application, in a composable and modular way, using the latest frameworks and languages including React and TypeScript, or their preferred web framework. One of the signature benefits of Compose SDK is total flexibility and extensibility. For … Unlocking the power of Compose SDK to build and publish visualizations and add-ons
We launched Sisense Compose SDK to provide developers with unmatched power and flexibility to embed analytics into their apps, exactly the way they want to. A signature benefit is that it provides engineers with an incredibly flexible way to fetch and manipulate data from Sisense, using it seamlessly within web applications, all using the latest … Take control of your data visualizations: Connecting to third-party libraries with Compose SDK
For decades, the value of data and the importance of robust analytics have shaped products and businesses. Today’s product teams fully grasp the potential of their data, and their success relies on their ability to monetize it at scale and speed, extract insights, and provide value for their customers. Amidst the increasing necessity to future-proof … Ushering in a new era of embedded analytics
For many businesses interested in offering intelligent analytic solutions, it isn’t readily apparent how critical a role proper data protection and consumer privacy practices can play. When working with personal information, organizations must ensure that any third-party vendors with access to the data will remain compliant with the privacy laws governing their jurisdictions. That’s why … Sisense Achieves ISO 27701 Certification for PII Processors: What That Means For You
Launched by OpenAI at the end of November, chatGPT has changed the perception of what’s possible using Artificial Intelligence. Its disruptive impact on the public consciousness has been compared to the launch of the iPhone in 2007. No doubt you’re already familiar, but what’s new is how generative pre-trained language model (GPT) can transform analytics—and … How to Supercharge Your Analytics with GPT Language Models
No doubt, like many SaaS companies, you’re embedding analytics into your product. The benefits are well-understood. Embedded, in-product analytics are what product teams add to their apps to win more deals, drive more user engagement, and elevate customer satisfaction. Embedded analytics are in-app, so your application’s users are making better decisions right at the point … Calling SaaS Product Teams!
If there’s one thing that’s increased for everyone building and deploying analytics over the past few years, it’s complexity—more assets, more teams, more moving parts. Analytics has become mission-critical and with that a huge proliferation of dashboards, reports, data models, and dependencies. Analytic assets have grown exponentially for enterprises and for software companies who are … Why strong source control and version management is now critical for analytics success
There’s one question that product managers and development teams often don’t drill enough into when they’re looking to embed a cloud analytics platform in their products: “How do we operationally scale when we reach hundreds or thousands of customers?” The answer is that there are several considerations to successfully operationally scaling embedded analytics. Efficiently and … Bringing the benefits of Next Generation multi-tenancy to embedded analytics
Analytics is increasingly embedded into every application across marketing, sales, finance, and every other app category. And for a good reason. It’s the secret for Product teams to drive the best application engagement and elevate customer satisfaction. The secret to the best user experience is when embedded analytics look and feel exactly like the application … Introducing no-code visual customization for your embedded analytics
Analytics demand is spiraling. It’s becoming increasingly infused into virtually every workstream and every cloud application. And with it, new challenges. Consumers of analytics expect their experience to be incredibly available, responsive, and engaging, whether it’s embedded into apps they use daily or their go-to dashboards and reports. Data and analytics leaders within enterprises and … Observability, monitoring, and management: The new pillars of analytics success.
Query performance issues are the one problem that companies of every size have an equal chance of running into with their business intelligence and analytics deployments―that was one of the conclusions of the ’22 BARC survey on The Most Common Business Intelligence Problems. And amongst larger organizations, which often have greater data volumes and more … Achieving analytics nirvana: Query performance without the complexity
Last year, a BI survey identified a lack of data literacy among LOB users as one of the top obstacles to BI success. But it’s not the user’s fault. BI isn’t providing them with the data they need in a way that’s easily accessible. And these days, people need data faster than the time it … How BI’s User Experience Problem Just Got Solved
The past few years have been challenging for most organizations, and Sisense is certainly no exception. With the global pandemic and its social, economic, and political upheaval, it has taken significant focus, energy, and effort to keep forging ahead to deliver on our vision of infusing analytics everywhere. So, it was great to see our … Sisense a Visionary in the 2022 Gartner® Magic Quadrant™ for Analytics and BI Platforms
Ad hoc reporting helps you make calculations as needed and go deep into complex data.
Serving actionable analytics to healthcare practitioners helps streamline care and improve outcomes.
A cloud-native, cloud-agnostic BI platform will help you get more out of your cloud data warehouse.
Published each February, the Gartner MQ gets all of the fanfare. But frankly, as a data geek, it is a pretty boring report. Each vendor gets a single dot, three strength statements, and three caution statements. For all the work that goes into the analysis, that’s it! Sisense was named a Visionary on the Gartner “A Digital Smile for Gartner Critical Capabilities Report 2019”
It should come as no surprise that 2018 was a crazy and explosive year for BI and analytics. As a market that changes on what feels like a daily basis, there’s always a new technology to learn about or a new way to up your analytics game. With such a fast-paced industry, there’s never a … 10 Analytics Blog Posts to Read In 2019
Five keys to building superior analytics in the era of AI Building traditional analytics into your apps is now table stakes. Building analytics infused with AI is the next level of competitive differentiation and a powerful new way to engage your users. AI technologies such as machine learning and data mining have advanced significantly in … 5 keys to building superior analytics in the era of AI
The right visuals are the key to helping your dashboard readers make smarter, data-driven decisions. Choose wisely with this guide.
How to build a holistic AI/ML strategy for analytics What is AI and machine learning? And what does it mean for analytics? AI is now a boardroom priority, and it’s never been more critical for analytics leaders to get ahead of the curve by building a comprehensive AI/ML strategy for analytics. In this post, we’ll … How to build a holistic AI/ML strategy for analytics
Harnessing AI in predictive analytics: A game-changing business strategy Artificial Intelligence (AI) in predictive analytics is revolutionizing the business world, offering unprecedented insights and competitive advantages. This article explores the transformative impact of AI on predictive analytics and its practical applications across various business sectors. What is AI predictive analytics? AI predictive analytics involves using … Harnessing AI predictive analytics for business transformation
Why embedded analytics are bought, not earned.