Maintaining the accuracy of results in complex data models is a difficult task particularly if the underlying data consists of hierarchies. A hierarchy is the way of organizing data in form of levels of aggregation. Typically, analysts use hierarchies to recognize trends at one level, drill down to lower levels to find reasons for these trends, and roll up to higher levels to see the effect of trends at a broader level.
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Cloud has radically altered the way IT infrastructure is provisioned and managed over the last decade. Organizations world over are moving all their operations, including traditional analytics to cloud analytics.
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We, at Kyvos, remain committed to solving human problems through the power of analytics and are proud to announce our most recent release Kyvos 2020.2, which empowers you to leverage the power of OLAP for instant insights on the cloud.
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With its latest release, Kyvos brings in support for the Snowflake cloud data platform, enabling instant self-service analytics on your cloud data warehouse. You can now build OLAP cubes on your Snowflake data and perform complex multi-dimensional analytics interactively, using your existing BI tools such as Excel, Tableau, MicroStrategy, and more.
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The need for interactive analytics in the cloud necessitates the use of OLAP, especially if you are dealing with big data. OLAP helps you navigate massive data quickly and effectively using a preferred BI tool or custom application. However, it is scary if you have to blow up your existing, sophisticated OLAP models and start from scratch. Kyvos soothes your migration pains, helping you migrate your traditional OLAP models into the cloud easily and quickly.
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As cloud adoption increases, enterprises tap into the power of scalable and elastic OLAP on the cloud to build a business intelligence platform that can deliver insights at a speed that matches their growing analytical needs.
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In modern business environments, where every transaction is logged, enterprises need efficient ways to model data collected across multiple customer touchpoints, business areas, and data sources so that they can get a holistic view of their business.
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Traditionally viewed as a cost center, Supply Chain projects often took a backseat to work more closely tied to revenue. The COVID-19 pandemic has shown the impact an ineffective supply chain can have on the bottom line. On an even bigger scale, Rear Admiral John Polowczyk said in an interview with Axios:
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Most BI tools support standard hierarchies where a field value is available on each level of the hierarchy. However, in real business scenarios, all hierarchies are not perfect, and querying such hierarchies becomes difficult. A common challenge that a lot of organizations encounter is managing ragged or unbalanced hierarchies.
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