Category: Cloud BI

Cloud Analytics: Your Key to Modern BI Capabilities that Drive Business Success

In The Forrester Wave™: Enterprise BI Platforms With Majority Cloud Deployments, Q3 2017, Forrester Principal Analysts Boris Evelson and Martha Bennett noted that, “The winners in the digital economy will be those that are able to gain insights the fastest and take appropriate action. To do so, companies need a solid data and analytics foundation, and cloud-based BI platforms are an essential part of this foundation.” In fact, among those organizations that Forrester surveyed in 2017, 45% said that they had “either already moved some or all of their BI capabilities to the cloud or were planning to do so.”

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Analytics Success Starts With Value-Based Design

[This is the first in a series of blogs on the Birst Value-Based Design (VBD) process. This installment focuses on identifying the top metrics for any analytics deployment, and future blogs will cover other aspects of the VBD process.]

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Making decisions with data – finding a practical role for Machine Learning

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Machine Learning has gone from a niche area of technology to being the savior of companies across multiple industries. Others see it as a technology that is overhyped and doesn’t deliver. Indeed, the Gartner Hype Cycle for Emerging Technologies has Machine Learning, or ML, at the Peak of Inflated Expectations. This is where technologies end up when there are huge amounts of attention and marketing exuberance on display but not necessarily the results to show adoption.

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Thirdware Manufacturing Analytics – Built on the Birst Platform (VIDEO)

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Executives in manufacturing organizations are constantly seeking to get insights into the performance of their business functions – like inventory, production costs, manufacturing quality, resource efficiencies, etc. This is becoming increasingly difficult due to numerous point applications that are used across the enterprise.

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The Virtualization of BI and Making the Most of Cloud for Your Data

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Wherever you look, the importance of data is growing within businesses. Reports by the Economist Intelligence and CompTIA released this year have found that companies are looking to their data to provide more sources of revenue, while Glassdoor has found that the role of Data Scientist is the most in-demand position for 2016, attracting the most attention from both recruiters and businesses.

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