Seventeenth-century philosopher and diplomat Henry Oldenburg is often cited as creating the first published scientific peer review. The one-time secretary of The Royal Society of London for Improving Natural Knowledge built a system of what he called "network administrators" to pass around manuscripts (first documented in 1665) in hopes that great thinkers and scientists could "incite information" and validate each other's scientific findings.
The result laid the foundation of published peer reviews—a system still practiced today—and by proxy, the basis for our current social recommendations mindset. Ever wonder why you might look at the customer reviews before making a purchase? A 2014 article, "Do We Follow Friends or Acquaintances? The Effects of Social Recommendations at Different Shopping Stages" suggests that peer groups (those who are lightly tied to us but on an equal measure) are influential when making early decisions.
This means your choices are greatly based on what your peers and colleagues recommend. The more you respect their endorsement, the more likely you are to choose the same.
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At Oracle, we've always said the best endorsement of our product strategy is the independent feedback of our customers.
We have momentum here. Earlier this year, Gartner named Oracle a Visionary in the 2020 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. Along with our customers and partners, we've diligently worked to make Oracle Analytics Cloud the best analytics solution it can be.
Our evolution of business intelligence tools is augmented analytics. Born of the cloud-based and hybrid-cloud software era, these tools offer a self-service experience that provides data enrichment powered by machine learning. The mere fact that there is no need for IT assistance to pull critical data is worth the shift. The self-service nature of augmented analytics means you can get automated chart recommendations for visualizations along with point-and-click visual exploration, drag-and-drop
features, and recommended fields, columns, data sets, and visualizations that draw attention to insight.
Our vision is crystal clear, and we're excited to be named a Magic Quadrant Visionary. But we all know that we must continue to provide value for our customers and partners every day for them to thrive and grow.
This is where our peers, like you come in. You can help us improve our products and services by submitting a peer review of Oracle Analytics.
Gartner Peer Insights program supports a peer review system for more than 300+ technology markets and 3,000 vendors. Every review is verified before publishing to ensure you only read completely authentic insights from Oracle customers; people in your field who understand your business needs.
Per our view, Oracle Analytics fits squarely into Gartner's definition of modern analytics and BI platforms.
"It is defined by a self-contained architecture that enables nontechnical users to autonomously execute full-spectrum analytic workflows from data access, ingestion and preparation to interactive analysis and the collaborative sharing of insights," Gartner says on its Peer Insight page for Analytics reviews.
Here are two Gartner Peer Insight examples:
"We invested in Oracle Analytics over 8 years ago here... Since then it has progressed from the initial project success into a wider overall analytics program. All stakeholders have only positive experiences since then." Group CIO at a $1 billion Services company
"Easy to use and intuitive tool to build self-service analysis and to provide built-in dashboards to senior managers." Head of Group Workforce Planning & People at a $30 billion Finance company
By adding your review to the fold, you can benefit from the recommendations of other Oracle customers and help shape the future of augmented analytics.
The Gartner Peer Insights Logo is a trademark and service mark of Gartner, Inc., and/or its affiliates, and is used herein with permission. All rights reserved. Gartner Peer Insights reviews constitute the subjective opinions of individual end users based on their own experiences and do not represent the views of Gartner or its affiliates.
Gartner, Magic Quadrant for Analytics and Business Intelligence Platforms, James Richardson, Rita Sallam, Kurt Schlegel, Austin Kronz, Julian SunGartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.