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Tableau and Salesforce bring New Look to Business Analytics

David Menninger's Analyst Perspectives

Businesses are transforming their organizations, building a data culture and deploying sophisticated analytics more broadly than ever. However, the process of using data and analytics is not always easy. The necessary tools are often separate, but our research shows organizations prefer an integrated environment.

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Yes, Advanced Business Analytics Can Cut Costs

Smart Data Collective

But at the same time, it’s easy to see why many companies, especially small ones, would be reluctant to implement business analytics tools. There’s an upfront cost for integrating data analytics into a company, and it may not always seem worth it. Minimize Turnover. How much is your company throwing away on employee turnover?

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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. But more significant has been the acceleration in the number of dynamic, real-time data sources and corresponding dynamic, real-time analytics applications. Well, that statement was made five years ago!

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Big Data for Business: A Requirement for Today’s Business Analytics

David Menninger's Analyst Perspectives

These factors plus the velocity of data today — the unrelentingly rapid rate at which it is generated, both in enterprise systems and on the internet — add to the challenge of getting the data into a form that can be used for business tasks.

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Want to Drive Industry Breakthroughs or Speed Up Innovation? Start by Optimising Your HPC and AI Workloads

CIO Business Intelligence

Artificial Intelligence (AI) is fast becoming the cornerstone of business analytics, allowing companies to generate value from the ever-growing datasets generated by today’s business processes. According to Hyperion Research , HPC-enabled AI, growing at more than 30 percent, is projected to be a $3.5 billion market in 2024.

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The Need for Speed: Faster Data Access as Competitive Edge

Sisense

In the Clouds is where we explore the ways cloud-native architecture, cloud data storage, and cloud analytics are changing key industries and business practices, with anecdotes from experts, how-to’s, and more to help your company excel in the cloud era. Chandana Gopal, Business Analytics Research Director, IDC.

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Delivering Low-latency Analytics Products for Business Success

Rocket-Powered Data Science

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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