Agile Business Transformation: Governing agile change with ‘just enough’ architecture
It’s time to act now. Conquering transformation and becoming a fully digital enterprise in the 21st century means agility is no longer a choice. Too little too late, and enterprises face the risk of becoming obsolete.
Join ValueBlue for a deep dive into combining progressive Enterprise Architecture and change in a world of digital transformation and globalization. In this session, we’ll be discussing a best practice framework for Agile Business Transformation: governing change with ‘just enough’ architecture.
Agile Business Transformation is the governance of an adaptive architecture that aligns with your strategic business objectives. This enables organizations to decompose value chains and create truly excellent customer value.
For Enterprise Architects with a focus on modern and digital business models, we’ll be sharing our complete out-of-the-box solution to kickstart change.
- What is Agile Business Transformation, and how does it help you cope with the challenges of change?
- What are some of the key value drivers for success with Agile Business Transformation?
- Migrate your old world into the new era – step-by-step
- Achieving customer demand, business strategy and business operations that are perfectly in tune with each other
Using composability to drive flexibility, speed, and resilience
One lasting learning from the past year is that businesses that were able to pivot quickly could accelerate investment and strengthened their resiliency. Pivoting quickly is made possible by having a composable business made from interchangeable building blocks.
Imagine being able to take apart a spaceship and rebuild it as a castle using the same building blocks, or more relevantly, take apart a dishwasher and rebuild it as a ventilator. Enterprise architects are the ideal people to lead this effort given the knowledge already derived from architecting the enterprise. In this session you’ll learn how enterprise architects can be key contributors to composable thinking using modular thinking and applying it to business and technology capabilities.
Architecting an AI Ecosystem
This session will include a review of a recent worldwide Digital Transformation survey of 4,300 decision-makers from mid to large enterprises.
While 2020 was a year characterized by tremendous change, it also provided clarity on the need for organizations to be more agile, with a scalable and resilient IT infrastructure to manage future disruptions. The survey indicates that the top technology investments over the next one to three years Include: security and privacy solutions, multi-cloud platforms, AI, data analytics, and data management tools.
The use of AI and data analytics is expanding across all lines of business. Business leaders are realizing how AI and data analytics are key differentiators to their business and are adopting a data-driven culture to drive greater insight into their business and their customers. These organizations need a platform that delivers an agile, open ecosystem for data scientists and developers to work efficiently together. An architecture-driven approach to building a data platform enables an organization to share data and maximize the benefits of their investments in advanced analytics.
Key takeaways include:
- Understand current AI trends
- Identify major components of an AI ecosystem
- Understand best practices with AI and multi-cloud deployments
Designing a customer-focused governance model that aligns business architecture for competitive advantage and continuous improvement
Data Governance has become a hot topic in most data camps of late. Now, more than ever, governance has an opportunity to focus on the consumer impacts that data while delivering resilient systems. Governance is no longer just about defining data, building catalogs and defining standards – it is time for agility and expansion of our thoughts about governance as a whole.
- Defining agility in governance
- Building trust and engaging data consumers
- Breaking the mold – tips on driving consumer first principles in data
- The non-functional requirements that drive consumer satisfaction
How APM and SaaS Management can benefit from each other
SaaS has grown significantly over the last years and has become an integral part of the application landscape of every company. Some companies follow a very strict approach and point to it as “shadow IT” whereas others embrace the need and initiatives of the business and rather relate to SaaS as “business-led IT”.
EAs need to deal with the full spectrum of on Premise, IaaS, PaaS, SaaS, but most often rely on manual tasks to create the full picture. Integrations to the providers of IaaS, PaaS and especially SaaS effectively help to not only continuously have transparency, but proactively manage SaaS, thus redefining the role of the EA in an ever-growing SaaS world.
Faster Better Decisions to Unlock Organizational Value
In this sessions Joe Geary will be outlining how the COVID Pandemic has created a compelling call to action for Enterprise Architecture groups to create meaningful value for their organizations.
Enterprise Architects key role is for them to help the enterprise understand and navigate the interconnectedness and complexity across Strategy, Business Capabilities, Processes, People, Applications, Data and of course change initiatives.
He talks about how EA’s can avoid the trap of endlessly trying to capture “Current State” – but instead align and focus their efforts to rapidly effect Enterprise Strategy Advancement, Run and Operations Optimization and Risk Assessment and Mitigation.
The key takeaways from this session will be how EA’s can:
- Avoid the trap of endlessly trying to capture “Current State”
- Understand and navigate the interconnectedness and complexity across Strategy, Business Capabilities, Processes, People, Applications, Data and of course change initiatives.
- Align and focus their efforts to rapidly effect Enterprise Strategy Advancement, Run and Operations Optimization and Risk Assessment and Mitigation.
From Issues to Innovation- Developing a composable business architecture to drive innovation and improve resiliency
Data-driven approach -Uniting the processes around digital transformation, technology excellence and business priorities
The world's data has exploded, reaching 64.2 zettabytes in 2020. A plethora of technologies store, structure, disseminate, analyse and bend this information to the shapes, we humans value. The language of business is defined in it's data, true "master data management" requires a paradigm where "data entities, attributes and relationships" are "First Class Citizens". What the heck are "First Class Citizens", don't we have enough border control issues!? The What, Why and How, accompanied by light hearted humour are all revealed in my workshop...tune in.
- The problem with not having a system to store and distribute the "meaning of data".
- What is data as a "First Class Citizen".
- How your enterprise can embody its strategic advantage into systems and the data itself.
- Why humour makes any data story fun
Utilizing EA and business capability modeling to drive strategy and strategic technology investments
In today's world, where agility & time to market is considered gold for a product; companies requires a holistic digital transformation. Having a consistent, common language between business and technology takes care of 50% of the problem. Business capability map not only help in establishing a common language but also drives a future business vision, technology strategy, roadmap and future technology investments.
- We always think about investing in applications and infrastructure rather than to investing in capabilities, which cut across silos
- Transforming an organization to capability driven IT organization is way difficult to implement than it sounds
- Capability based IT strategy and strategic technology investment helps meet business outcomes. At the same time it helps define a systematic process for defining future/transition state and evaluating various options
An Enterprise Architecture Framework for Value Creation using Digital Ventures Innovation
As Enterprise Architecture (EA) practices balance the mature domain of traditional IT governance, while embracing the dynamically changing worlds and ecosystems of digital innovation - new skills, missions, and methods – will further enable enterprise objectives of driving mature, and capturing emerging markets growth. Today’s session, Digital Venture Innovations thought-leader - Lee Bogner - showcases an adaptable framework construct for guiding innovation by Business Sponsors, Enterprise Architecture teams and Partner organizations!
Learn how Innovation, and an Innovation Framework, fits in the Enterprise Architecture Mission
- Learn how to organize teams and Enterprise Reference Architectures models
- Learn the importance of local and global ecosystems and key partnerships
- Learn many key methods for EA-led innovations, including Innovations Journey mapping, user centricity and design thinking, local and global hackathons, agile test-and-learn (T&L) sprints, scaling and reusing based on T&L success
- Learn how to measure VALUE delivered by Enterprise Architecture-led Digital Ventures Innovation
Intelligent Enterprise and Next Gen Operating Model in the era of automation - Building EA for today and tomorrow
- Industry 5.0 Enabling the Engaged Human
- How We Got Here - A Review of Industry
- Psychological Safety the New Experience Enabler
- The Era of High Tough, High Concept Solutions
- Industry 5.0 Solution Design
Creating native EA integration strategies with modern-day multi-cloud environments for agility and adaptability
Organizations are adopting a Multi-Cloud approach to host the right business capabilities in the right cloud. Choice and flexibility of services coupled with a mature management layer enables cross cloud mobility of workloads. In such a scenario, re-assessing the integration strategy is imperative to provide holistic insights for better decision making.
- Understanding the challenges and benefits of integration.
- How to start the journey of chalking an integration strategy for a multi-cloud environment.
- Identify the dependencies and opportunities of integration.
- Decision framework for the right integration technology for applications.