Bringing Analytics To Data In The Decision Economy

Nic Smith

In today’s digital economy, the way organizations make decisions is changing dramatically. You may have heard predictions such as, “By 2020 the growth in cloud data traffic will increase by 3.7x.” Couple that with “We’ll be living with 21 billion connected things by 2020,” and the direction of the digital playing field is clear: With data and things moving to the cloud, the time to start thinking about investing in cloud analytics has passed; it’s now time to take action. And we’re hearing that many customers are doing just that.

In this digital future, leading organizations are not only using analytics, they are also consuming analytics as the fuel for growth. Research suggests that 78% of decisions made by leading organizations are based on data-driven analysis.

But connecting to data and things is only one piece of a bigger picture. People and processes must also enter the equation, since 75% of decisions by leading digital organizations can be mapped directly to company strategy, and 62% of decisions are distributed across the organization.

This decision cloud landscape continues to intensify as decisions themselves are moved to the cloud, in autonomous models in which machine-learning algorithms and artificial intelligence (AI) apply analytics and take on increased levels of decision-making. Of course, the AI takeover is a tectonic shift that offers exponential value and inherent risks (Skynet, anyone?).

Bring your analytics to your data with a hybrid approach

Before we skate too far ahead, organizations must face the business reality of today. Bringing together people, processes, data, and things requires a balanced approach, especially when it comes to data and analytics. The real work begins when organizations can take advantage of existing on-premise data and analytics technology investments while creating a path to the future as more data and things shift to, and are born in, the cloud. This includes the marriage of data from on-premise and cloud sources.

As the cloud transition occurs, organizations must strike the right balance of cloud and on-premise technology. They face critical technology decisions, including:

  • Which applications should go cloud-first
  • Which lines of business can take advantage of cloud analytics
  • Which business processes can most benefit from cloud solutions
  • Ultimately, what is the value and impact to the bottom line

To temper risk and increase acceleration, organizations are adopting a hybrid data and analytics approach to bridge the gap during the transition. This provides a framework for the organization to move forward at a pace they are comfortable with. It’s a strategy that brings your analytics to your data, rather than the other way around.

Where does your cloud journey begin?

The momentum of customers moving to SAP’s analytics cloud solution, SAP BusinessObjects Cloud, is rapidly accelerating—and so are the innovations being introduced by SAP. New features and functionality for SAP customers with existing investments in on-premise analytics technology (SAP BusinessObjects Enterprise) offer hybrid use cases to deal with the reality of cloud and on-premise data environments.

SAP’s product strategy also aims to address the most important analytical needs across the organization to plan, discover, analyze, and predict all from one built-for-cloud solution. This approach intends to minimize cost and complexity for organizations as they begin their cloud journey, removing the need to worry about assembly of different cloud analytic solutions.

Build a clear path

We know that our customers are at various stages of the cloud journey. Whether you’re thinking of taking the first step or you’re already down the path, our next #askSAP Community Call will give you the insights necessary to build your path to the cloud.

I invite you to join us for what is certain to be an informative session with Ty Miller (vice president of product management, SAP BusinessObjects Cloud), Adrian Westmoreland (product management, SAP BusinessObjects Cloud) and Mike Flanagan (senior vice president, analytics).

#askSAP Journey to the Cloud: SAP Strategy and Roadmap for Cloud and Hybrid Analytics Scenarios

  • Date: March 16, 2017
  • Time: 8:00am PT | 11:00am ET | 5:00 PT CET
  • Duration: 90 minutes

Here’s to success in your analytics and data journey in 2017!

Learn how analytics can keep users and IT happy

This article originally appeared on SAP BusinessObjects Analytics. 

Nic Smith

About Nic Smith

Nic leads the global product marketing organization for BI and cloud analytics at SAP. A data driven marketing leader, his experience in enterprise and business consumer marketing strategies supports customer innovation and consistently drives growth targets. Nic brings a unique blend of experience in product marketing, storytelling and narrative, field marketing, product management, digital marketing, and customer experience. Nic has a proven record of leading highly effective teams and initiatives that excite and engage audiences. Connect on LinkedIn and on twitter at @nicfish