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Pitfalls to Avoid when Choosing Data Analytics Tools
Greater visibility and insights from data are no longer merely options for business competitiveness. They’re table stakes. Data gives companies the ability to understand and deliver exactly what their customers want, when they want it. Additionally, monitoring data streams can ensure product quality, alert operators to anomalies, and minimize production downtime. Businesses that don’t collect, analyze, and use data in their operations will find themselves defeated by those that do. But not all of your clients have data analysts on staff or the computing power to perform big data analysis in house. To unlock the value of their data, your clients will need you to help them select the right data analytics tools. Data Analytics as a Service provides subscription-based data analytics tools through the cloud. These solutions are often designed to democratize data analysis, allowing people in any role in the company and regardless of their technical expertise to have the ability to access and use insights from data.
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