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
Introducing the Sisense DataModel APIs. The new Sisense DataModel APIs extend the capabilities provided by the Sisense REST APIs. Builders will be able to programmatically create and modify Sisense DataModels using fully RESTful and JSON-based APIs. You may be asking “What’s a Sisense DataModel, exactly?”
The Elastic Data Hub delivers unique and highly differentiated options for data teams to simplify complex data and power analytical apps. Unleash the power of advanced analytics. In addition, you can deploy and operationalize your own machine learning models to all users by uploading custom Python.
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.
Building a reporting solution comes with a slew of benefits, for example: Reporting tailored to your organizations specific needs High levels of customizability Easy access to organizational data While building a custom solution ensures that you can tailor a solution to your business use cases, it comes at a significant time and monetary cost.
AI can also be used for master data management by finding master data, onboarding it, finding anomalies, automating master datamodeling, and improving data governance efficiency. From Chaos to Control: Navigating Your Supply Chain With Actionable Insights Download Now Is Your Data AI-Ready?
To do forecasting–financial, operational, or otherwise–out of the box, you need to create the datamodels behind the reports, then create the reports themselves. Watch our webinar to learn more about how to optimize your Oracle investment. But there isn’t a simple solution for forecasting with Oracle alone. Ready to learn more?
It delivers a context-aware, process-rich business datamodel, with a library of business reports for Oracle EBS and OCA. Angles for Oracle does the heavy lifting in your data lakehouse to provide valuable analytics. Ready to learn more?
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