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AtScale ROI Calculators Uncover Massive Potential Savings Hidden in Enterprise Analytics Cloud Investments
AtScale, the intelligent data virtualization provider for advanced analytics, unveiled its ROI Calculators for Cloud Data & Analytics, new tools designed to help enterprises uncover savings hidden within their cloud data warehouse usage and resourcing of data engineering teams.

AtScale's ROI calculators are built on data captured in its Cloud Data Warehouse Performance Benchmark reports, which include Amazon Redshift, Azure Databricks, Azure Synapse Analytics SQL, Google BigQuery, and Snowflake. Enterprises provide three simple inputs to quantify potential cloud cost savings as it relates to time and resources spent delivering analytics within their organization. The calculators then deliver a robust report outlining potential annual analytics cost savings, including areas of opportunity to increase revenues from analytics, reduce overall costs to deliver analytics, accelerate time to insight, and eliminate the risk of inconsistent data.

"Enterprises are overspending by millions of dollars each year on their cloud analytics. That's a significant sum that could be reinvested into the business," said Christopher Lynch, Executive Chairman and CEO of AtScale. "With our ROI calculators and cloud data and analytics performance benchmarks, we're providing a tool that stakeholders can use to easily identify opportunities to maximize their return on investment in the cloud that align with their business priorities."

As businesses invest more heavily in cloud, analytics workloads are increasingly complex, spanning data that resides in a combination of on-premises, public cloud, multi-cloud, and hybrid environments. AtScale reduces the cost and complexity of analytics by providing a single workspace for this distributed data. Its Cloud Online Analytical Processing (COLAP), Autonomous Data Engineering, and Universal Semantic Layer ensure that business intelligence is delivered quickly, accurately, and at scale. AtScale improves query performance, expands user concurrency, reduces compute costs, and allows for decreased semantic complexity across leading cloud data warehouses and platforms.

"Running one query in general on Google BigQuery doesn't cost a lot of money, but when you are talking about the amount of data users we have that are running queries concurrently, it's important to run queries as efficiently as possible," said Willem Bekkers, Business Intelligence Specialist & Data Coach at bol.com. "AtScale helps us reduce the amount of processing in Google BigQuery which saves us money."

The AtScale ROI Calculators for Data & Analytics provide insight into how bol.com and other Global 2000 companies are leveraging AtScale to maximize their data and analytics investments.

Published Thursday, October 08, 2020 8:19 AM by David Marshall
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