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News and Views: Drive Smart Decisions with Cloud Analytics, Machine Learning and More

Oracle Analytics Named a Leader in Forrester Wave

All modern enterprises are on a quest to identify signals captured within data (created inside and outside the organization) and turn them into actionable insights. For many, it's table-stakes in an increasingly digital world. For others, it seems like the search for the Holy Grail.  

Regardless of whether you're already on that journey or just starting, you need to understand your high value use case(s) and plan for the best set of capabilities to support your vision. Whether generating your profit and loss statement for the current quarter, or pinpointing what factors most influence product profitability, or connecting the dots between operational activities and projected forecasts, you need to make sure there's an innovative, dynamic, modern analytics platform underpinning your business. 

Enter Oracle Analytics Cloud. We're proud to be named a Leader in The Forrester WaveTM: Enterprise BI Platforms (Vendor-Managed), Q3 2019  as a trusted, enterprise-scale analytics and business intelligence platform. In our opinion, this recognition is a testament to you, our customers and partners, who've worked closely with us to make Oracle Analytics Cloud the success it is today.

What Defines Leadership?

For us, leadership requires that we get two things right: 

  • Have a strong product to solve today's requirements thoroughly, and
  • Have the strategic vision to anticipate tomorrow's needs and deliver on that vision. 

We believe that this report is strong evidence of our leadership in analytics strategy and execution. 

Augmented Analytics is the Future for Analytics

Augmented analytics—based on machine learning (ML) and artificial intelligence (AI)—guides the analyst and information consumer to enrich data, dig deeper, uncover insights, converse with data using natural language processing (28 different languages), and create narratives as part of the flow. Mobile intelligence is proactive, anticipating consumers' needs, and chatbot integration brings conversational analytics to the masses.

Our Hybrid Strategy Is Based on Your Needs, Not Ours

Oracle Analytics Cloud fully embraces the cloud as the strategic platform for innovation and transformation. Unlike other market competitors that require a specific hybrid approach of on premises and cloud to work, Oracle Analytics Cloud lets you define your data, as well as author, execute, share, and distribute all your analytics in the cloud. For those who require that data be stored on premises, Oracle Analytics Cloud can easily and efficiently access those sources from the cloud and combine them with cloud-based data to deliver the actionable insights we all want and need.  

OAC Delivers Freedom of Analysis Within a Framework of Governance and Trust.  

While business analysts love freedom, they also know that trusted, governed data is key to effective actionable insights.  Proliferation of data silos in other products leads to what we call the "Las Vegas" effect: what happens in silos, stays in silos.  You end up with disconnected decisions, inconsistent analysis, and eventually data chaos—likely not a risk you're willing or able to take. 

Seamless Integration to Business Applications is Key

In the Wave report, Forrester notes the following: "As a bonus for Oracle software as a service (SaaS) customers, Oracle Analytics Cloud comes with pre-built content and connectors to Oracle SaaS applications." Roles and security are automatically respected. But we fully understand that customers need access to any data and we are committed to enabling access to a full range of data sources for our customers. 

Think Big, Act Bigger

As you evaluate your path forward, consider an analytics system that delivers the right end-to-end experience for your firm. It must cover six things:

  1. Find all relevant data—wherever it is, and whatever format it's in—application data, public data, personal spreadsheets, etc.—in the Oracle cloud, on premises, or in other clouds.
  2. Make sense of that data easily—in the context of your role, by recommending enrichments, respecting security and governance regimens in place, and augmenting understanding of your data using ML and AI to uncover drivers of your business. Getting at the right data is one thing; making it the best data possible and unlocking insights is the goal.
  3. Explore data whatever way makes the most sense for you—whether it's interacting with the data visually, or using natural language query to get answers to your questions, the system should adapt to the way you want to work. Many will likely consume data in dashboards, and others will model anticipated performance with predictive models. Regardless of how you choose to explore, you'll want to collaborate and share your findings with others as seamlessly as possible.  
  4. Deliver insights at the optimal point of impact—whether in an application, on a mobile device, via a chatbot, or in the analytics system itself. Business content, in the context of role or responsibility, is more meaningful and more action-oriented.
  5. Close the loop by taking action—with the right context, powered by integration to systems of record and insight. For example, identify inventory shortfall in one region, and dynamically initiate a transaction to transfer excess product from one region to another. 
  6. Scale to the enterprise—with a system that will allow you to scale as far and wide as needed, then adjust and change into the future without having to provision for peak demand from the get-go. Enterprise scalability and agility should be a prime consideration from day one. Otherwise, you may end up with a collection of disconnected projects—that "Las Vegas" effect—that won't deliver the end-to-end "insight-to-action" you need. 

More Options, Tailored for You

For those organizations that cannot move to the cloud, or who just aren't ready, we recently announced Oracle Analytics Server, expected by the end of 2019. It enables customers to take advantage of significant functional enhancements of self-service data visualization as well as augmented analytics as part of their on-premises Oracle BI license/subscription

For those customers deployed with Oracle SaaS applications, we're introducing Oracle Analytics for Applications, a turnkey analytic applications suite built on OAC, which sources data automatically from the SaaS applications, store it in Oracle's Autonomous Data Warehouse, and unlocks insights through delivered key performance indicators and metrics to monitor, align, and act in unison.  

For more information about Oracle Analytics, including product roadmap and customer success stories, visit Oracle.com/analytics.

 

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