Oracle's Point of View on Gartner Magic Quadrant for Business Intelligence and Analytics Platforms 2018
Every day, I talk with customers and prospects about their plans for analytics and business intelligence. Every one prominently mentions "Cloud" as their go-forward computing environment. Regardless of what path a customer takes to Cloud, it's abundantly clear that this decision is not just a deployment option—it's one that unleashes innovation throughout the enterprise. It frees analysts and business consumers to explore data sources within and outside the enterprise at will, to combine data in ways not possible before without IT efforts, and to share that data wherever/whenever they need to, all in the Cloud.
It frees IT from procuring, managing and deploying servers behind the enterprise firewall; solely managing any data for analytics; and being the choke point for any data and analytics activity. Need more resources? Instantly scale up cloud compute nodes and you’re done. Scale down when resources are no longer needed. Enable the business consumer, not control them. Enabling self-service everywhere changes the game for business intelligence and analytics, and is a major force for innovation.
Add in integrated PaaS services, including the market-leading Autonomous Data Warehouse, Data Integration, Security and Identity Management, as well as SaaS applications such as HCM, ERP, Customer Experience and Supply Chain, and organizations can now easily embrace the transformative power of cloud to not just improve, but also fundamentally change the way they work.
Oracle’s Core Beliefs about Business Analytics
The focus of evaluation for the Gartner Magic Quadrant for Business Intelligence and Analytics Platforms is largely self-service data visualization. Oracle recognizes this as a critical component of any BI and Analytics regimen, but only part of a broader Cloud-based data and analytics strategy that every organization needs to consider moving forward. The MQ evaluation framework did not fully factor Oracle’s considerable competitive advantages in cloud computing and the benefits this confers to analytics consumers.
It's important to note that Gartner's definition of "Ability to Execute" and "Completeness of Vision" are not just current/future ability and product roadmap. Both evaluate many facets (see here for more information about what goes into this assessment). Oracle believes its business analytics product roadmap and future ability are both top tier.
See What Other Analysts Think
Prominent industry analysts have assessed Oracle Analytics products in the past six months and have come to different conclusions than Gartner. Both Forrester Research and BARC named Oracle as a Market Leader. Ovum indicates the Cloud is a model for better business. Take a look at this research to see how breadth and depth of business intelligence and analytics capabilities along with Cloud really make a big difference.
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