Perform multidimensional analytics on your cloud data warehouse and create interactive dashboards using any BI tool you like. Our Smart OLAPâ„¢ technology enables self-service analytics on Google BigQuery at interactive speeds, even for very high concurrencies.
Maintaining the accuracy of results in complex data models is a daunting task, especially if the data consists of multiple hierarchies. Kyvos helps you translate complex business requirements into efficient data models through hierarchies and custom rollups.
Cloud resources do not come cheap. If not planned properly, you could end up paying way more than anticipated. A good cloud strategy involves scaling resources as needed. Our schedule-based scaling allows you to scale your cloud analytics to quickly respond to load changes.
Kyvos remains committed to solving human problems through the power of analytics and is proud to announce its most recent release Kyvos 2020.2, which empowers you to leverage the power of OLAP for instant insights on the cloud.
Kyvos 2020.2 brings in support for the Snowflake cloud data platform. You can now build OLAP cubes on your Snowflake data for multi-dimensional analytics and increase your analytical capabilities significantly while reducing your compute costs.
SSAS users resist moving to the cloud for fear of losing the work they have done in building their existing cubes and its metadata. Kyvos makes it possible with the least efforts and opens the door for interactive analytics on data at any scale.
Whether you are planning to migrate your enterprise data to the cloud or have already migrated it, this article will help you understand why you need OLAP on big data. Read further to understand how to overcome the challenges of speed and scale associated with traditional BI approaches in the cloud.
Data modeling is one of the most critical aspects of any BI or analytics project. Read to learn how Kyvos processes massive volumes of transactional-level data to get a comprehensive view of your business.
As cloud adoption increases, enterprises tap into the power of scalable and elastic OLAP on the cloud to build a BI platform that can deliver insights at a speed that matches their growing analytical needs.
Supply Chain Analytics at Massive Scale was a nice-to-have capability for several companies before the Covid pandemic. Today, the ability to navigate the entire supply chain quickly is imperative. Read our blog where we share real-life experiences of our customers.