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
Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. Introducing the Sisense DataModel APIs. The new Sisense DataModel APIs extend the capabilities provided by the Sisense REST APIs.
You can’t talk about dataanalytics without talking about datamodeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right datamodel is an important part of your data strategy.
At Sisense, we see the rise of AI and a multicloud world accelerating the next wave of digital transformation, helping organizations reimagine their business and drive innovation, adoption, and value from data in the digital era. Unleash the power of advanced analytics. Three new ways to make embeddinganalytics even easier.
Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Theme: Analytics for everyone.
Analytics for everyone: Explore new and existing innovations and smart analytical experiences, like predictive analytics, Tableau Business Science , and Tableau for the Enterprise , that make it easier for everyone in an organization to use data and analytics. . Theme: Analytics for everyone.
Today, data teams form a foundational element of startups and are an increasingly prominent part of growing existing businesses because they are instrumental in helping their companies analyze the huge volumes of data that they must deal with. This combination has given the team advanced data handling and analytics capabilities.
Nasdaq Investor Relations uses Sisense to infuse interactive reporting into its core offering, enabling customers to dissect and manipulate their data in innovative and impressive ways via white-label reports and dashboards. Use case snapshots: White-label reports and dashboards in action today. Horsepower under the hood.
Assign your Themes to groups individually (manageable via REST APIs too) or dynamically update themes in embedded dashboards and widgets through iFrames, Embed SDK, or Sisense.JS for a custom, integrated embeddedanalytics solution. Advanced data transformation with Custom Code. Enhanced live model connection parameters.
SILICON SLOPES, Utah — Today Domo (Nasdaq: DOMO) announced it has been recognized in several 2023 Ventana Research Buyers Guides, including being named as an Overall Leader in the Buyers Guide for Collaborative Analytics. The Buyers Guide research places vendors into one of four overall categories: Exemplary, Innovative, Assurance, or Merit.
In the case of a stock trading AI, for example, product managers are now aware that the data required for the AI algorithm must include human emotion training data for sentiment analysis. It follows then that data scientists are suddenly integral to building embedded AI components.
Many cloud data warehouses offer compute scaling that allows for dynamic scaling when needs spike. This allows data teams to still see scalable performance while holding increased numbers of computationally expensive datamodels and ingesting more large data sources.
When building your datamodel, it’s vital to avoid both underfitting and overfitting. Although AI product managers may not be involved at the level of algorithm development, they can benefit from recognizing the symptoms of overfitting in the behavior of the model under development. The perfect fit.
Edge computing analytics (like the kind platforms like Sisense can perform) generate actionable insights at the point of data creation (the IoT device/sensor) rather than collecting the data, sending it elsewhere for analysis, then transmitting surfaced intelligence into embeddedanalytics solutions (eg.
It highlights an important fact, that companies are looking towards data to deal with extreme changes , and sophisticated BI tools can guide that approach to analyze sophisticated data and deliver basic insights back to organizations. Focus on integration and innovation. Moving data into the cloud, driving innovation.
Radial delivers a modern analytics experience with Sisense. Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. Actionable intelligence empowers users. Learn more.
As a product owner or manager , you are constantly faced with pressure to be innovative and deliver value and great experiences to your users. Innovation means different things in different industries, but one common feature that many apps are gravitating toward is analytics. Building beyond basic embedding.
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.
There’s no doubt that cloud ERPs have had a profound impact on businesses, transforming the way organizations operate, innovate, and deliver value. The result is a proprietary, multi-source datamodel for a single view of your business information. Worldwide spending on public cloud services is expected to grow by 21.7%
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