How OLAP on the Cloud enables instant BI on massive data?

By August 7, 2018 August 7th, 2019 Uncategorized

Breakthroughs in BI on Big Data

Get instant insights on all your data by building a robust, high-performant business intelligence platform on the cloud using Kyvos’ innovative OLAP technology.

As competition increases, organizations need to build intelligent environments that nurture smart decisions and brisk innovations. Every opportunity needs to be exploited, and new ones need to be created. In the current global environment, data is an important tool that can help in achieving this objective. It can reveal real-world trends and waiting-to-be-discovered opportunities that lay the foundation of intelligent business. To handle the exploding scope and volume of data, most organizations are turning towards cloud computing. Cloud is a great place to try out and assess the value that data can bring to your business.

Many organizations already have their data on the cloud, at least a significant part of it. As per a recent BI on Big Data Adoption survey by Kyvos, 54% of companies are expected to fully move their Big Data infrastructure to cloud over the next 3 years. However, moving to the cloud can solve business problems if and only if organizations can derive value from their data. Any data that is not used turns into a lost opportunity, and that’s not a good idea. And, we are not talking about small amounts of data but petabytes of data coming from multiple sources and in varying formats. All of this data needs to be stitched together and analyzed thoroughly to get useful business insights.

Interactive analysis of massive data on the cloud is a major issue

However, interactive analysis of Big Data, whether on the cloud or Hadoop, is a major issue. Connecting traditional BI and analytics tools directly to a cloud platform can result in poor performance, especially if the size of your data is enormous. Despite the advantage of the cloud’s compute flexibility, consumption of massive data becomes a challenge.

So, how do you take advantage of the cloud’s compute and storage flexibility and build your cloud business intelligence solution that allows you to analyze your big data interactively and get the necessary insights?

The ideal solution should provide an environment where you can access your cloud data using your existing BI tools such as Qlik, Tableau, Power BI, Excel, and more, and conduct self-service analysis at interactive speeds.

OLAP on the Cloud breaks performance barriers

Kyvos has transformed the analytic space with its revolutionary OLAP technology that enables you to analyze your cloud big data instantly and interactively.

OLAP is a proven technology that worked well in traditional analytics. However, traditional OLAP solutions fail to perform on Big Data as they cannot deal with the massive increase in the data volume, the explosion of cardinality and dimensions, and the large variety of data sources.

Kyvos combines the benefits of scalable cloud platforms with the ease of use of OLAP-based analytics, making it possible to achieve OLAP on the cloud at a scale that was impossible before. Existing tools can connect to the OLAP layer with improved performance, enabling the users to interact with their cloud data in meaningful ways.

Kyvos enables the creation of large-size multi-dimensional cubes leveraging the compute capacity of the cloud and then stores them on the cloud itself, taking advantage of its flexible storage. These cubes pre-process massive volumes of data and store it in a ready-to-use form, removing query latency and bringing in the much-needed performance.

Users can ask any question from their cloud big data and get answers in seconds. OLAP on the cloud allows them to slice and dice, roll up and drill down, delve deep into any transaction, and pull out any reports using their favorite BI tools. It creates a favorable environment for thinking, exploring, and innovating. That’s what business intelligence is all about.

Ease of Implementation

While many, who have already been through painful cycles of migration from traditional data warehouses to Hadoop all the way to cloud platforms, would be wary of another shift. On the contrary, they will find Kyvos architecture reasonably easy to implement.

Kyvos fits in your environment without any disruption to your existing data, security, and analytical setups. Your data continues to live on the cloud, and your users are not affected as they continue to use their existing BI tools, though now they can access huge volumes of data at interactive speeds.

If you want to learn more about the Kyvos OLAP on the cloud solution, watch the recording of our webinar “How to Achieve Self-Service BI on Big Data in the Cloud at Massive Scale.” In this webinar, our speakers, Andrew Brust, Analyst – Gigaom Research, and Ajay Anand, VP of Products & Marketing – Kyvos Insights, talk about how you can transform your business with instant BI on Big Data Analytics on the cloud.

Watch Webcast

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