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Top 7 Challenges of Moving Data Analytics to the Cloud

Datavail

Guiding Your Organization Through the BI Maturity Stages. The questions you’ll need to answer will depend on where your organization is in terms of Business Intelligence (BI) maturity. Measuring and monitoring the business: Reports that help measure performance and monitor what is happening in the business.

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Why Companies Are Moving Their Analytics to AWS Cloud

Datavail

According to a 2020 survey by MicroStrategy , 47 percent of organizations have already moved their analytics platform into the cloud, while another 42 percent have a hybrid cloud/on-premises analytics solution. More and more companies are running their business intelligence and analytics workloads in the cloud.

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Are You Ready for Increasing Demands on Data Management?

Datavail

If you are involved with managing data, analytics, or business intelligence, you know that your organization is going to increase its appetite for making decisions based on its large reservoir of data. The demand for using data will increase throughout the organization. Here are the top challenges you’ll need to address.

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Datanami’s #1 Big Data Trend of 2019: Data Management is Still Hard

Datavail

Businesses of all sizes and industries are hungry both for big data and for the digital technologies that convert it into intelligent, valuable insights. In order to stay on top of the field, organizations need to be apprised of the latest big data developments, as well as the landscape that lies ahead. More on that later.).

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Why You Should Embrace Machine Learning – You Can’t Afford Not to

Datavail

A ML data model provides users with one of three distinct ML strategies , each of which provides a specific type of business intelligence: descriptive, predictive, and prescriptive. Companies wanting to thrive in the future should launch or continue their ML implementation as soon as possible. Datavail is here to help.

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How to Think about Total Cost of Ownership (TCO) for a Cloud Analytics Migration

Datavail

In this article, we’ll discuss how organizations should approach the question of total cost of ownership (TCO) when debating a move to the cloud. However, the list below covers the expenses that will make up the cloud analytics budget for most businesses: Storage (data warehousing, data lakes, data archiving, etc.). Analytics compute.

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5 Technical Reasons for a Cloud Analytics Migration

Datavail

Meanwhile, in an informal survey of attendees at a recent Datavail webinar, the majority (75 percent) of attendees said that their organization was pursuing a “hybrid” (partly on-premises and partly in the cloud) strategy for business intelligence and analytics. Oracle Specialized Partner for Business Intelligence.