The concept of the semantic layer is almost as old as the BI tools themselves. Earlier, each BI tool had its own semantic layer and was used by specific teams within the enterprise. Those were the days of data silos and moderate data volumes. However, as volumes increased, enterprises began to consolidate all their data on modern data platforms while business users continued to use their existing, familiar BI tools. Multiple versions of business logic in each BI tool often led to different interpretations of the same data. And, that’s why it became important to create a single data view or semantic layer across BI tools and business teams. Before we discuss why you need a semantic layer and how you can build one that can handle future data workloads, let us first understand what it means.
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Kyvos supercharges Tableau to deliver lightning-fast performance on modern data platforms at an unprecedented scale. Our patented OLAP technology provides fast and interactive query responses on massive amounts of data. By creating a BI acceleration layer directly on the cloud and on-premise data lakes, Kyvos allows users to analyze trillions of rows on their Tableau dashboards with sub-second response times.
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We are happy to announce that Tableau Software released a new custom Kyvos connector with its latest version, Tableau 2019.4. This is a big step in our partnership to deliver instant insights on a massive scale. The new connector will strengthen the integration between the two platforms, making it easier for Tableau users to find, connect to, and analyze massive volumes of data on the cloud and on-premise data lakes.
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Designing an optimized, high-performant OLAP cube on complex data is not an art anymore. Kyvos helps you understand your data and query patterns before the cube is built and create designs that deliver the performance that you need. In this post, we will discuss how Kyvos enables smarter analytics on massive data on the cloud and on-premise data lakes through its data profiling and query analysis features.
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Are you struggling to get insights because the size of your data has outgrown the OLAP capabilities of SQL Server Analysis Services (SSAS)? Are you looking for a cubing solution that scales for massive data? In this blog, we will discuss the inherent challenges of SSAS OLAP, why it cannot scale for the modern data ecosystem, and how you can move your SSAS cubes to the cloud or an on-premise data lake effortlessly.
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The need to assess how your metrics are changing over time is an essential aspect of business analytics. Evaluating the performance of a metric over the same period in the past makes comparisons more relevant and helps in leveling the effect of sudden spikes, seasonal fluctuations, and more.
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Supply chain management is not just about operating supply chain at peak efficiency but also about being more agile to quickly respond to current trends. The most crucial aspect of supply chain management is to ensure the right inventory at the right store at the right time, and this can only be achieved if you have accurate and instant visibility into your supply chain operations.
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Building reports and dashboards that can deal with multiple currencies is vital for business intelligence applications that handle complex reporting requirements of the global market. Currency exchange rates fluctuate daily and can have a significant impact on financial analysis for any business.
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As part of the journey to become an insights-driven business, enterprises need to modernize their BI technologies and architectures. In our recent webinar, How the Cloud will shape the future of Enterprise BI, our guest speaker, Boris Evelson, Vice President and Principal Analyst at Forrester Research, shared some key trends that show how enterprises are leveraging the Cloud to stay ahead of the competition. If you didn’t get a chance to tune in, you could view the recording here.
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Being an early adopter of new technologies that serve business, Verizon started its Big Data analytics journey very early and is doing exciting things with its data since then. As their business grew, they developed innovative solutions to cater to the growing analytical needs of their business users. At a recent session at Strata Data Conference in San Francisco, Syed Latheef, Head of Analytics at Verizon, spoke on how they utilize Kyvos as a next-generation analytical platform that delivers real-time AI, ML, and BI.
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