Embracing Architecture Flexibility And The Cloud: Imperative #3

Tim Hardy

Part 3 in the Trusted Data Imperative series

Cloud computing makes it easier for IT to run and access applications, data, and services over the Internet. It spares businesses from an expensive capital investment in hardware and considerable resources on maintaining solutions. More and more enterprises are running solutions in the cloud, such as for human resources and procurement. And some customers are also migrating to a digital core in the cloud to gain the flexibility and agility that are the hallmarks of a successful business in the digital age.

However, there is also no one recipe for cloud adoption. Companies are experimenting and adopting the cloud at different paces, and for carrying on both core business processes and developing new innovations, as they pursue a common quest for greater business agility and lower costs. To meet different individual goals for cloud and architecture flexibility, businesses need the freedom of movement of data and queries spanning local, public, and private clouds without cloud vendor lock-in to maximize the deployment flexibility.

Moreover, in digital enterprise, the vast majority of new data will be generated outside enterprise datacenters – in the cloud and at the edge of the network – by sensors and a multitude of devices. With companies increasingly relying on data to transform their business and achieve new levels of productivity, choosing a data management strategy that includes the cloud is paramount.

The new data management strategy should allow a company to:

  • Retain the freedom to decide where to deploy its applications and data, which is about the flexibility of cloud option and architecture
  • Adopt the cloud at the pace dictated by the company’s unique business priorities

Data management for cloud freedom

Whether you’re embarking on a modernization project for your on-premises ERP systems, planning to extend your existing business processes with new applications that run on the cloud, or moving your SAP S/4HANA projects to the cloud, you need to ensure that your data management technology choices provide the flexibility for your business needs.

Consider a data management solution that enables you to freely move data and applications across clouds and between cloud and on-premises environments. Look for the deployment flexibility your business needs and avoid cloud provider lock-in, which can be binding and costly, as well as these attributes:

  • A multi-cloud solution that can run virtually anywhere
  • Software-defined cloud automation capabilities to help you operate an on-premises data center as a local cloud, for cloud-based ERP solutions with end-to-end coverage – from system security to compliance
  • The ability to gain more intelligence via built-in machine learning, predictive analytics, and optimized processes
  • A fully managed implementation of Hadoop and Spark in the cloud, that meets the rigorous demand for enterprise-class reliability, scalability, and security
  • Instant provisioning and scaling, automated operations management, and proactive support – for a complete, optimized Big Data environment
  • Easy customization to deliver logical architectures for different business needs, with scalability from a data mart scenario to a data lake scenario, while handling streaming data, or expansion to a data cleansing scenario to clean the data during the data loading process
  • An open, hybrid, and multi-cloud enabled solution suite that orchestrates all the data you need into a trusted, unified landscape

For more on this topic, see Leveraging Cloud-Based ERP To Improve Data Management.

This article originally appeared on the SAP HANA blog and is republished by permission.


Tim Hardy

About Tim Hardy

Tim Hardy is VP, Global Industry & Platform Sales Programs at SAP. This team is responsible for articulating the SAP Database and Data Management propositions. Tim has 25 years of experience with the positioning, architecture, delivery, and support of software- and hardware-based solutions. His background is in the disciplines of data management and business applications. Tim has global experience working with leading organizations, partners, and ISVs across every major industry vertical. Tim has a specific passion for the Internet of Things, and how this can generate new business opportunities. Prior to joining SAP, Tim served as chief architect and CTO at Oracle in the ISV/OEM global business. He has a Masters in Engineering from Warwick University, and a BSc in Mechanical Engineering from the University of Birmingham (UK).