Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

Related Topics: @CloudExpo, Java IoT, Microservices Expo, Linux Containers, Agile Computing, @DXWorldExpo

@CloudExpo: Article

Could Cloud Spell the End for ERP As We Know It?

Why Cloud ERP Is the Future

Enterprise Resource Planning has traditionally been a software for large corporates with million dollar technology budgets. But that has been changing over the past decade with the advent of cloud based ERP systems. According to a survey conducted by Sage, nearly 30% of finance managers at UK based SMEs believe that cloud could make ERP more affordable or viable to them. In another study published by Gartner, the top five fastest growing ERP vendors today are all SaaS companies. Even the larger, mature SaaS players like NetSuite have registered exponential growth rates of nearly 40% while the traditional on-premise vendors like Oracle and SAP are showing signs of stagnation.

The growth of cloud has brought about a dramatic shift in the demographics of a typical ERP customer. According to Gartner, there is an urgent need for larger enterprises to realize the cultural shift that cloud ERP has brought in, and evolve accordingly. A major cause of resistance, Gartner notes, is that most of the middle and senior management in large enterprises is composed of technology folks who have spent their lifetime deploying and maintaining on-premise ERP systems. A migration to the cloud is seen as a means to make their own jobs redundant and as a result, “this is a clock that will not stop ticking until they retire.

But that's a dangerous gamble to make. SaaS ERP has made technology affordable and accessible to smaller businesses. In addition to the cheaper pricing plans, SaaS ERP is also easy to maintain and update. Consequently, smaller businesses with SaaS ERP are likely to enjoy newer features than larger companies that make use of customized on-premise ERP that are not up-to-date with business requirements. This is a guaranteed way for the larger enterprises to lose their competitive edge with the smaller players in the industry.

An earlier Gartner report had predicted that traditional on-premise ERP could be relegated to legacy status as early as 2016. That is a major cause for concern for the larger ERP players like Oracle who have less than 10% of their revenues coming from SaaS. The only string that keeps Oracle's traditional ERP system still relevant is the barrier for enterprises to migrate from these large systems to more agile cloud solutions. But a solution to this could be well on the way from rival cloud based service providers. In such a scenario, it's a matter of time before a large chunk of larger enterprises move their ERP systems to the cloud. When that happens, it could spell the end for ERP as we know it. And we are closer to this now than we have been any time in the past – that's a realization that companies like SAP and Oracle need to have in order to stay relevant in a postmodern ERP ecosystem.

More Stories By Harry Trott

Harry Trott is an IT consultant from Perth, WA. He is currently working on a long term project in Bangalore, India. Harry has over 7 years of work experience on cloud and networking based projects. He is also working on a SaaS based startup which is currently in stealth mode.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...