In my last two blogs, we looked at the ways in which organizations can benefit from an analytics platform that combines business intelligence (BI), planning, and predictive analytics and how advances in technology allow us to blur the lines between the formerly siloed “business” and “IT” users.

In this final part of the series, we will explore how these factors, combined with the ability to access and analyze data of all kinds, everywhere, can deliver the vision of the intelligent enterprise.

Bringing Context-Rich Analytics to Your Data, Wherever It May Reside

In the age of cloud computing and hybrid landscapes, the ability to combine solutions to give the complete overview of an organization is more critical than ever. At SAP, we have both a long and very proud history in the world of on-premise solutions and a strong ambition to deliver the intelligent enterprise in the cloud, with all the agility and flexibility this brings with it. Our mission with SAP Analytics Cloud is to provide a connected path forward for our customers that brings both of these worlds together.

Whether the data is stored in spreadsheets, on-premise databases, cloud databases, a combination of all three, or highly semantically enriched information in an SAP system, SAP Analytics Cloud can access and analyze it by means of live and import data connections. No matter where the information is, customers can use these live connectivity capabilities to gain new and invaluable insights without having to replicate data with, for example, SAP HANA, SAP S/4HANA, and SAP BW/4HANA.

This allows any business to benefit from cloud innovation while avoiding any replication efforts and enabling real-time operational reporting. SAP Analytics Cloud is embedded into SAP applications through its integration services and directly accesses the underlying SAP HANA platform to learn the available views and metadata. Once connected, all its capabilities can be integrated into the application experience. As such, SAP Analytics Cloud offers companies an important tool to enable their vision of the intelligent enterprise.

Going one step further, we have been working hard to address one of the most fundamental challenges of machine learning: Once a model is built and trained, it needs to be moved into production and connected to a running business process. After its initial deployment, it needs to be continuously retrained and optimized as new data and events come in.

With SAP Analytics Cloud and the SAP Predictive Analytics integrator, we solve this challenge and embed lightweight predictive models directly into business processes. Business analysts can create and maintain them through SAP Analytics Cloud.

One Solution for the Entire Enterprise Decision Lifecycle

By bringing together the domains of BI, planning, and predictive analytics, opening up analytics to business users, and enabling the analysis of data from SAP and non-SAP sources, whether in the cloud or on-premise, SAP has created THE analytics solution for the intelligent enterprise.

With SAP Analytics Cloud as the underlying platform, it’s possible to realize scenarios that cover the entire management lifecycle—from strategy to budget, from forecasts to the financial close —and most importantly, from the SAP Digital Boardroom to every employee. Customer success stories, such as those from the SAP Innovation Awards 2018 winners L3 Technologies, show just how powerful this holistic approach to analytics can be.

As Mike Flannagan said in his recent blog post, analytics are the window into an intelligent enterprise, providing the foundation for insightful action to deliver value across the business. It’s a powerful tool no organization can afford to go without. With SAP Analytics Cloud, business users have one “window” to all the information they need across their entire organization.

I’d love to hear what you think of this blog series and what other analytics topics you’d like to read about in future blogs. Let me know your feedback in the comments section below and follow me and the team at @gerritkazmaier and @SAPAnalytics.

This blog is part of a three-part series. You can find the first two blogs in the “Better Together: The Power of a Converged Analytics Platform” series here.