The day-to-day benefits of cloud-based service automation are well-documented. But what can be harder to ascertain is the quantitative benefits, the money saved, and the impact on the company’s bottom line. IDC and Equinix teamed up to crystallize the benefits of true economic benefits of ServiceNow’s IT service automation. Download this report to learn:
• The average annual benefits of Service now over five years
• The actual time to payback of the ServiceNow investment
• The true ROI of ServiceNow
Leading technology research firm, IDC, reports customers using ServiceNow’s suite of cloud-based service management solutions are seeing substantial savings and business value for both their IT and business operations.
The day-to-day benefits of cloud-based service automation are well-documented. But what can be harder to ascertain is the quantitative benefits, the money saved, and the impact on the company’s bottom line.
IDC and Equinix teamed up to crystallize the benefits of true economic benefits of ServiceNow’s IT service automation.
Don't ignore DDoS; instead, take preventive action. With that in mind, IDC believes that hybrid defense scenarios (on-premises equipment married with cloud services) will continue to grow as organizations seek to parry advanced application and large-scale volumetric attacks and as solution providers and product vendors work to deliver joint solutions.
IDC Research shows that manufacturers worldwide are rapidly embracing new technologies to transform their business models and operations to improve agility, customer engagement, profit and sustainable competitive advantage.
The public cloud has rapidly moved past the novelty, curiosity stage to the business critical initiative stage for nearly every established organization. In a 2016 IDC CloudView survey, 80% of the enterprises contacted were actively engaged in public-cloud projects. The driving forces are a realization that the public cloud is “enterprise ready” and the need to be more agile, more responsive and more competitive. For those organizations that already have an existing physical IT infrastructure, the common starting point is a hybrid approach, which extends the existing data center into Microsoft® Azure™.
Enterprises today are pursuing digital transformation to improve customer experience, reduce costs, better weather business disruption, and create competitive advantages. A hybrid cloud operating model is foundational to achieving this digital transformation.
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Digital transformation initiatives and the need for innovation are causing enterprises to rethink their IT landscapes including business-to-business (B2B) integration. Modern B2B integration is critical for enabling enterprises to achieve goals like increasing revenue, speeding up time to market, and improving efficiencies because these outcomes are dependent on having a successful business network. B2B practitioners have two goals — enable critical business initiatives and control costs — and cloud-based B2B services have been successful in helping enterprises achieve both goals.
IDC interviewed eight IBM clients to understand how their use of IBM Sterling B2B Integration Services, part of the IBM B2B Cloud Services portfolio, has impacted their operations and businesses.
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IDC Report: 267% ROI with Oracle SCM Cloud
What’s the payoff for companies who embrace cloud? New IDC research found that Oracle SCM Cloud customers had a five-year ROI of 267% and 28% more productive supply chain teams, among other benefits. Get insights to boosting supply chain performance.
Successful digital business depends on fast, reliable,and secure applications. Threats of service disruptions from performance slow downs, availability outages, or security incidents are driving IT organizations and service providers to double down on comprehensive system management solutions across infrastructure, applications, and end-user devices.
Organizations are at a strategic crossroads. According to IDC analysts,1
two-thirds of CEOs will
center their corporate strategies around digital transformation initiatives. The goal of digital
transformation is only partly to make existing functions more effective. The greater goal is to be
able to do new things and use existing data in new, better ways.
Yet, 72% of current IT spending2—and the focus of IT resources—is on maintaining existing
systems. This creates tension between what needs to be done today and what should be done
for the future.
Middle-tier applications, according to IDC,3
are the core of a digital transformation strategy
because they provide data integration, messaging, and application programming interface (API)
management. Middle-tier applications also provide a platform for application development and
management that can handle traditional enterprise applications and cloud-native, distributed
applications.
Specifically, a Java™ EE-based application platform can
IDC’s research shows that interviewed organizations capture significant value by investing in Red Hat JBoss
solutions rather than using unsupported community software.
Stated differently, these organizations are avoiding significant potential hidden costs of using alternative
unsupported community software in terms of:
After several years of relentless hardware and software innovation, the mainframe is at an
inflection point from being a supporting platform of transaction revenue to becoming a
source of revenue growth and innovation. Organizations are evolving toward what IDC calls
the “connected mainframe.” The platform is transforming from a revenue-supporting machine
into a revenue-generating machine and is increasingly playing a central role in organizations’
digital transformation (DX) journey. Key steps in achieving the connected mainframe require
organizations to modernize and integrate the platform with their internal and external
environments. IDC finds that these modernization and integration initiatives lead to new
business innovations, which in turn are driving revenue growth and improving organizational
operational efficiency.
Businesses are struggling with numerous variables to determine what their stance should be
regarding artificial intelligence (AI) applications that deliver new insights using deep learning.
The business opportunities are exceptionally promising. Not acting could potentially be a
business disaster as competitors gain a wealth of previously unavailable data to grow their
customer base. Most organizations are aware of the challenge, and their lines of business
(LOBs), IT staff, data scientists, and developers are working to define an AI strategy.
IDC believes that this emerging environment is to date still highly undefined, even as
businesses must make critical decisions. Should businesses develop in-house or use VARs,
systems integrators, or consultants? Should they deploy on-premise, in the cloud, or in some
hybrid form? Can they use existing infrastructure, or do AI applications and deep learning
require new servers with new capabilities? We believe that many of these questions can be
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
From an IT perspective, there is a fairly straightforward sequence of applications that businesses can
adopt over time that will help put direction into this journey. IDC outlines this sequence to e
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to
expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively
and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people)
talent to gather deep and timely insights from data and actuate these insights to optimize business
operations, develop new and innovative products and services, and transform customer engagement.
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly
every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile,
social business, cloud, and big data analytics as the pillars. In this new environment, business leaders
are facing the challenge of lifting their organization to new levels of competitive capability, that of
digital transformation — leveraging digital technologies together with organizational, operational, and
business model innovation to develop new growth strategies. One such challenge is helping the
business efficiently reap value from big data and avoid being taken out by a competitor or disruptor
that figures out new opportunities from big data analytics before the business does.
A technology-enabled business strategy such as digital transformation (DX) makes it possible for firms to
expand their competitive differentiation in the market. Although disruptive, DX requires firms to effectively
and efficiently combine (technology) platforms, (business) processes, (data) governance, and (people)
talent to gather deep and timely insights from data and actuate these insights to optimize business
operations, develop new and innovative products and services, and transform customer engagement.
Digital transformation is poised to change the supply chain more
profoundly than any other functional area and more dramatically than at
any point in its history in terms of driving efficiency and resiliency to
disruption. In the context of the challenges facing supply chains, both now
and in the future, it becomes clear that the old ways of working will not
suffice and that even best-in-class performance today is unlikely to be good
enough in the future. It is the view of IDC that the supply chain must
become a "thinking" supply chain, one that is intimately connected to all
data sources, enabled with comprehensive and fast analytics, openly
collaborative through cloud-based commerce networks, conscious of
cyberthreats, and cognitively interwoven. According to IDC supply chain research, technology is emerging as a prime
driver of change, particularly artificial intelligence, blockchain, and the Internet of Things (IoT).
One of the biggest changes facing organizations making purchasing and deployment decisions about
analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A
couple of years ago, only a few organizations selected such cloud analytic databases. Today,
according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at
least one data warehouse or mart deploying in the cloud.
One of the biggest changes facing organizations making purchasing and deployment decisions about
analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A
couple of years ago, only a few organizations selected such cloud analytic databases. Today,
according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at
least one data warehouse or mart deploying in the cloud
Digital Transformation: Insight into Getting it Right, is new research commissioned by Avaya and undertaken by IDC. The Infobrief contains key insights from over 1,300 enterprises and consumers to help brands plan and improve digital transformation, specifically through the modernisation of business communications infrastructure. Because business communications technology is at the heart of digital transformation.
