How to build Cloud Business Intelligence Solutions with OLAP on Big Data?

Breakthroughs in BI on Big Data

Get instant insights on your Big Data by building a robust, high-performance cloud business intelligence solution using Kyvos’ innovative OLAP on Big Data 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 a truly 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% 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 are able to 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 Big Data on Cloud is a major issue

However, interactive analysis of Big Data whether on Cloud or on Hadoop, is a major issue. Connecting traditional BI and analytics tools directly to Big Data can result in significant performance issues. Despite the advantage of cloud’s compute flexibility, consuming massive amount of data still remains a problem.

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 required insights?

The ideal solution should provide an environment where you are able to 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 Big Data breaks performance barriers

Kyvos has transformed the analytic space with its revolutionary OLAP on Big Data 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 has brought OLAP to the world of Big Data by providing an OLAP solution directly on Big Data in the cloud, combining the benefits of the scalable cloud platforms with the ease of use of OLAP-based analytics. 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 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. These OLAP cubes remove query latency and bring in the much needed performance.

Users can ask any question from their cloud big data and get answers in seconds. They can slice and dice, roll up and drill down, delve deep into any transaction, and pull out any kind of reports using their favorite BI tools. This 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 fairly easy to implement.

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

If you want to learn more about the Kyvos cloud platform, 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 in the cloud.

Watch Webcast

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