Customer obsession has created a business environment of continual disruption. Constant change is forcing execs to recognize that traditional planning and delivery practices don’t sustain the ability to focus on strategy while delivering new capabilities. To adapt to an environment where change is the new normal, project management office (PMO) leaders and enterprise architecture (EA) strategists are expanding Agile methods, but scaling Agile to the enterprise requires significant process, organization, and cultural change. This report identifies best practices for tackling this challenge.
The ‘80s Called… … And they don’t want their enterprise Project and Portfolio Management (PPM) tools back.
If your Project Management Office (PMO) is still relying on the same or similar processes and systems used when neon and mullets were trending, it will never keep pace with today’s market demands or shifts in technology. Six-month deployment schedules and command and control models of yesteryear are actively being replaced with continuous delivery methods and practices like agile and lean—all in the interest of driving greater customer engagement.
Microservices architecture is a new architectural style for creating loosely coupled but autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service (PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations create and manage these modular systems on an unprecedented scale that exceeds earlier approaches like service-oriented architecture (SOA). But organizations that refactor monolithic applications into microservices experience widely varying degrees of success. The key to using microservices effectively is a solid understanding of how and why organizations should use microservices to build applications
Software delivery processes and systems, and the people involved with them, are under increasing pressure. Sometimes it’s digital transformation, other times it’s simply the challenge of keeping up with the demands created by ever more dynamic markets and an escalating pace of change. None of this is news, but is does provide an important backdrop to the discussion of how software delivery needs to evolve, especially given that traditional methods and approaches were never designed to deal with the fastmoving and unpredictable environment you are probably working in today.
Published By: Red Hat
Published Date: Jan 02, 2018
Microservices architecture is a new architectural style for creating loosely coupled but
autonomous services. Emerging trends in technology—such as DevOps, Platform-as-a-Service
(PaaS), containers, and continuous integration and delivery (CI/CD) methods—let organizations
create and manage these modular systems on an unprecedented scale that exceeds earlier
approaches like service-oriented architecture (SOA). But organizations that refactor monolithic
applications into microservices experience widely varying degrees of success. The key to using
microservices effectively is a solid understanding of how and why organizations should use
microservices to build applications.
Published By: SAP Inc.
Published Date: Jun 16, 2009
To succeed in the professional services industry, your firm must continually improve its service delivery methods. Read how you can increase client value and lower costs through implementing more efficient resourcing and partnering processes and co-creating value with your clients.
Published By: Marketo
Published Date: Jun 04, 2018
Until now, most organizations have built their MarTech stacks piece by piece—adding technologies to meet new needs or test new delivery methods. But with so many applications available and so many competitive gains to be made by using the right combination of technologies, it is increasingly important to have a strategy to connect your stack across marketing and other revenue-driving functions.
By harnessing a well-considered MarTech stack, marketers can bring order to the overwhelming volumes of data they collect from online and offline interactions with prospective and existing customers. Better yet, this technology enables you to make those insights actionable, meaning you can make informed decisions.
Download this ebook for seven practical steps your organization can take to put together a high-performance MarTech stack.
The clear benefits of agile development—better collaboration, incremental delivery, early error detection and the elimination of unnecessary work—have made it the default approach for many teams. Agile methods are also being adopted by systems engineering teams to deliver the same benefits. Some developers have questioned whether requirements fall into the category of unnecessary work, and can be cut down or even completely eliminated. Meanwhile, teams developing complex products, systems and regulated IT continue to have requirements-driven legacy processes.
So how does requirements management fit in an agile world? This paper argues that requirements management can bring significant value to agile development in regulated IT and complex product development projects, and sets out the characteristics of an effective requirements management approach in an agile environment.
Security threats are very real, and the stakes are higher than ever. Each day, tens of thousands of malware variants are
created, with new classes of threats continually added and improved upon. Savvy attackers use polymorphic programs
to alter malware into new form factors after each delivery. And all of this is exacerbated by the proliferation of mobile
devices, cloud computing and social media—in fact, the intersection of these technologies provides fertile new ground
for threats and malware.
Today’s attacks are often not random, but targeted for maximum financial gain and impact. Rogue individuals and
groups are constantly innovating new ways to attack organizations’ most valuable assets. As a result, traditional
methods of dealing with threats are no longer enough. Organizations need more threat intelligence than ever before
in order to effectively protect themselves.
Organizations need to accelerate the pace with which they realize business value from data. The focus is on improving “time to value,” which is the length of time it takes from the beginning of a project to the delivery of anticipated business value.
This TDWI Best Practices Report focuses on realizing value from BI and analytics and how organizations can accelerate the path to higher value. The report looks at multiple factors impacting the ability of organizations to quickly derive greater value from data and analytics, including the organizational issues, practices, and development methods that are often just as important as keeping pace with technological innovation.
This book defines the basics of application release and deployment, and provides best practices for implementation with resources for a deeper dive. Inside you will find:
• Business and technical drivers behind automated application release and deployment
• Evaluation guides
• Success stories that utilize application release and deployment solutions
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