In the 26-criteria evaluation of continuous delivery and release automation (CDRA) providers, we identified the 15 most significant — Atlassian, CA technologies, Chef Software, Clarive, CloudBees, electric Cloud, Flexagon, Hewlett packard enterprise (Hpe), IBM, Micro Focus, Microsoft, puppet, Red Hat, VMware, and Xebialabs — and researched, analyzed, and scored them. We focused on core features, including modeling, deploying, managing, governing, and visualizing pipelines, and on each vendor’s ability to match a strategy to these features. this report helps infrastructure and operations (I&o) professionals make the right choice when looking for CDRA solutions for their development and operations (Devops) automation.
Far from being a soft issue, trust underpins the
management of your digital business and digital
ecosystems. This report highlights how trust is
fundamental to your digital transformation. It
focuses on the role of trust in the B2B context
and analyzes the key technologies, processes,
and operational values that CIOs and their teams
must use to build and maintain trusted
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
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
Data is the lifeblood of business. And in the era of digital business,
the organizations that utilize data most effectively are also the most
successful. Whether structured, unstructured or semi-structured,
rapidly increasing data quantities must be brought into organizations,
stored and put to work to enable business strategies. Data integration
tools play a critical role in extracting data from a variety of sources and
making it available for enterprise applications, business intelligence
(BI), machine learning (ML) and other purposes. Many organization
seek to enhance the value of data for line-of-business managers by
enabling self-service access. This is increasingly important as large
volumes of unstructured data from Internet-of-Things (IOT) devices
are presenting organizations with opportunities for game-changing
insights from big data analytics. A new survey of 369 IT professionals,
from managers to directors and VPs of IT, by BizTechInsights on
behalf of IBM reveals the challe
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
Watch this on-demand webinar to learn about the latest innovations in IBM Planning Analytics Local, including:
Workspace: The interactive interface that enables you to quickly drill through to supporting detail to understand the underlying assumptions in your plans. It lets you create custom dashboards and colorful, compelling visualizations with ease.
IBM Planning Analytics for Microsoft Excel: The next-generation Microsoft Excel add-in that lets you retain Excel functionality and formatting when moving data between IBM TM1 and Excel.
Hierarchies: The new capability that enables you to model and drill into attributes as if they were a dimension -- without having to create a new dimension or add elements (members) to the hierarchy, for unprecedented insight into your IBM TM1 data.
IBM Planning Analytics, powered by IBM TM1, is the fast, flexible, planning solution that helps you align financial plans with corporate objectives linked to operational tactics and market events. In this quick, 10- minute guided demo, you’ll get hands-on experience with IBM Planning Analytics by building a revenue plan.
You’ll play the role of a financial planner and learn how to:
• Create a revenue plan in IBM Planning Analytics Workspace
• Adjust the plan by increasing sales by 20% through an online channel
• Review the impact of your changes on net profit
If your organisation carries out business in the European
Union, then you may be aware that your life is about to become
a lot more complicated starting in May 2018. That’s when the
new EU General Data Protection Regulation (GDPR) will take
effect. IBM is positioned to help you develop strategies to
address the challenges of the GDPR. Our Pathways for GDPR
readiness are phased programme engagement points and
cognitive capabilities which can accelerate your journey.
This new, stronger regulation will aim to harmonise data
protection across all 28 EU Member States. In some cases, it
will merely strengthen or enhance specific rights which are
already in place under many local data privacy laws, whilst other
rights and obligations will be introduced for the first time.
As the information age matures, data has become the most
powerful resource enterprises have at their disposal. Businesses
have embraced digital transformation, often staking their
reputations on insights extracted from collected data. While
decision-makers hone in on hot topics like AI and the potential of
data to drive businesses into the future, many underestimate the
pitfalls of poor data governance. If business decision-makers can’t
trust the data within their organization, how can stakeholders and
customers know they are in good hands? Information that is not
correctly distributed, or abandoned within an IT silo, can prove
harmful to the integrity of business decisions.
In search of instant analytical insights, businesses often prioritize data
access and analysis over governance and quality. However, without
ensuring the data is trustworthy, complete and consistent, leaders
cannot be confident their decisions are rooted in facts and reality
Do your plans and forecasts need a reality check?
The quality of your strategic decisions is only as good as the quality of your forecasts. And forecasts are only good if they reflect current reality—not the reality of two, three or more quarters ago. Enter “continuous planning.” With a methodology for forecasting at frequent intervals throughout the year, continuous planning “enables managers to see trends, patterns, and ‘breaks in the curve’ long before their competitors, and thus make better informed decisions regarding products and markets.”
In this free online webinar, speakers Jim Collins & Guy Jones will explain how continuous planning keeps you in touch with current reality - and one step ahead of competitors.
Jim Collins, Performance Management Strategy Executive, IBM
Guy Jones, Worldwide Technical Sales Executive, IBM Performance Management,