Innovation in Banking
requires innovation in IT delivery. New ways of working that delivers to the strategic whilst delivering to the tactical.
These are the new capabilities in people to create new capabilities in software engineering platforms
Empowered with AI
Innovate Capabilities
What you need to do to for Digital Transformation
To bridge the gap between IT and business, IT and Business need a common understanding of where to go and what steps it will take to get there. The steps are new ways of working delivered through new capabilities in people. Each capability is seen as a cog that will fit into your software delivery lifecycle.
What do you want to achieve
Creating a shared vision for enhancing customer experiences through innovative payment solutions.
Value Proposition design
How do you help users and stakeholders in their business? Customer-centric and business value is about taking customers to a better place. This is your innovation.
Business process
What are the business processes associated with this feature? The capability is creating the shared understanding of how the business process will execute across the technical landscape. To deliver features around return of funds, requires an understanding of the business process of return of funds in cross-border payments and how technology delivers to that.
Business goal / value
How does your business unit benefit from this project? Shifting to a business-led approach means shifting thinking from doing banking to delivering business value. Here we define the business goals as desired outcomes.
features
What software deliverables will give customers your value propositions. These features represent unique capabilities in your platform. Own your innovation.
build the right product (Illustrate)
Capabilities
Fit for purpose.
Quality software can be measured by the presence of features that make your customer want to use the software and an absence of flaws that make your customer wish they had something else – Kaner, Falk, Ngueyen.
QE the story
Creating a shared understanding of the story, what it should and should not do, is the key to building quality in. Using examples in your stories creates that understanding.
In-sprint automation
Automation at the start of software delivery has far greater value than automation at the end. We generate scripts with which you can exercise your code for your Continuous Build and Continuous Integration. This technique has been popularised by BDD. We like the concept of Acceptance Test Driven Development
SHORT FEEDBACK LOOPS
Test Data Management
There is a direct connection between building the right product and having the right data. Different scenarios of a feature require different data. The data used in your examples of how a feature works must be available to everyone in the delivery value chain.
improve code quality
capabilities
Technical debt is about the rising cost of ownership of code.
If digital disruption and DevOps is about change and meeting customer needs, then code quality is about the ability to change fast enough and well enough. Improving code quality is a journey that must be started now.
Modernise legacy code
Harness the power of AI to create microservices that wrap your legacy core systems with new functionality. The future is about interoperability. Your current systems serve the current business. The cost and effort of changing the legacy core system is prohibitive and the risks are high
Automated Quality Metrics
Define the criteria that suits your project eco-system. Measure whether you are on track. These are not sticks with which to beat your development team, these are measures by which all can judge the quality of their work. It is a means by which you become a master of your craft.
business process with data models
The ISO 20022 3-layer model defines the business, the data for the business and the technical implementation as 3 different layers. We enable the modelling of business process with the associated data for business coverage, synthetic data generation and test scenario automation.
Test Data Management
The efficiency and effectiveness of your testing is dependent on the suitability of your data. Different test scenarios require different data. The value of your test automation effort is entirely dependent on the quality and availability of your data.
Low-code Automation
capabilities
From automation to mechanisation
Separating testing and automation is both inefficient and ineffective. We use the term mechanisation to indicated that it is the automation of the job of testing and other manual processes. The capability we develop is to harness the power of modern low-code tools and GenAI to be 10x more effective and efficient in Quality Engineering.
executable specifications
Automation at the start of software delivery has far greater value than automation at the end. The Specification by Examples created in the illustrate phase are converted into executable modules. Thereby automating the business functions. As such it is an automated suite that reduces the user acceptance test effort. This is the correct approach for BDD and Given, When, Then.
service virtualization
business process with data models
Mechanisation of End-to-End testing is the ability to test for complete business coverage and compliance across the entire technical eco-system that supports the business process. Here Be Dragons – the inefficiency and ineffectiveness or current practices is the cause of recurring bugs in production.
API TESTING
Platform
capabilities
From automation to mechanisation, embrace an innovative strategy for ‘system testing’ that not only maximises your outcomes but also minimises the effort required. Experience a new era of productivity that achieves remarkable results in the shortest timeframe possible.
self service environments
Our current development and test environments are counter-productive. Fixing this goes to the very core of DevOps. Simply put if your sprints are 2 weeks and you wait 3 months for an environment or batch run then your delivery time frames just get longer and longer. The need is to quickly create a laboratory environment in which we exercise shippable code with a wide range of test scenarios.
CI-CD Pipelines
We improve the skills of the Software Quality Engineer to play a pivotal role in the operation of CI-CD pipelines by focusing on innovative practices and fostering collaboration. This ensures that deployments align with the strategic business goals and delivers to rapidly changing compliance requirements. Our forward-thinking approach strengthens teamwork between development and operations, promotes a culture of ongoing enhancement, and ultimately leads to the successful delivery of dependable, high-quality software that adds significant value to the business and enhances customer satisfaction.
Test data on demand
The need is for synthetic data at test execution time to test the common pitfalls of edge cases and data truncation. The practice of using a subset of production data for testing is just a bad practice! As with environments, if it takes you 3-months to set up data then you are in the death-spiral of quality.
Integration testing
Integration testing focuses on ensuring interoperability by thoroughly evaluating the smallest executable components through robust testing. Effective tests do more than confirm functionality; they are designed to have a high likelihood of uncovering potential bugs. This approach embodies the principle of testing by contract, particularly in headless (no-UI) testing scenarios.
Automate the boring
capabilities
Ditch the tedious manual tasks behind. By leveraging intelligent automation, you can streamline your operations, minimise errors, and boost productivity. Embrace enhanced efficiency and innovation as we equip your projects with our expert guidance and support, transforming your approach to work.
Robotic Process Automation (RPA)
Imagine a workspace where repetitive tasks are seamlessly handled by software robots, freeing your team to focus on higher-value initiatives. Robotic Process Automation, or RPA, streamlines operations by automating routine processes, while the integration of AI co-pilots takes efficiency to the next level. By leveraging RPA alongside AI co-pilots, individuals can achieve remarkable productivity gains, reduce human error, and foster innovation, ultimately aligning technology with strategic goals for a future-ready organization.
Workflow automation
Imagine a world where your daily tasks flow effortlessly between tools, allowing you to focus on what matters most. At DevOpsQA, we leverage modern workflow automation to empower you with simple automations that enhance your processes. Our solutions connect your favourite tools, creating a personalised ecosystem that boosts efficiency and productivity. Experience a future where every click contributes to streamlined processes and endless possibilities.
Business Value Reporting
Let’s go beyond Red-Amber-Green reports to reports that actually contribute to business value and project success. Reports that help you continually improve by providing actionable insights on data that matters. With AI you understand your key peformance metrics, creating a profound sense of achievement. It is the tangible progress towards your goals, that enables meaningful professional growth and continuous improvement in every project you undertake.
Foundational
capabilities
ISO 20022 serves as a vital framework that facilitates the technological innovations reshaping the financial landscape, empowering Open Banking APIs to thrive and driving efficiency and transparency in transactions, allowing businesses to harness technology to create more effective and user-friendly solutions that align with their strategic objectives.
ISO 20022 methodology
ISO 20022 as a methodology identifies 3 layers to ensure relevance to real-world financial transactions. These layers are business process, the data that supports that process and physical message formatting, ensuring relevance to real-world financial transactions. In focussing on the message standard IT projects have a focus on the last layer with the corresponding negative impact the business. We start with the end in mind – the business process and the data that is needed to support it.
Canonical Data Model
In ISO 20022 and Open Banking API projects, a Canonical Data Model is more than just a technical tool; it’s a strategic asset. By unifying data, ensuring compliance, and enabling efficient quality engineering practices, CDMs empower financial institutions to achieve operational excellence and improve customer satisfaction
Data Dictionary
The ISO 20022 data dictionary and business catalogue provide standardized business terms, promoting uniformity and interoperability in financial communications both internally and externally between systems. We have modelled that data dictionary to enable capabilities in your software engineering platform. Designed to evolve with emerging technologies and regulatory changes, supporting the financial industry’s digital transformation
Professional (soft) skills
capabilities
These professional skills and capabilities empower individuals and teams to adapt, innovate, and thrive. it’s about cultivating habits and traits that drive consistent, high-quality outcomes. It’s about empowering teams to overcome challenges and create meaningful connections between technology and business. By fostering resilience, curiosity, and a passion for growth, we help individuals find their voice, build trust, and inspire innovation. These are the skills that not only shape careers but transform the way we work together to make a lasting impact.This section is about unlocking the potential within individuals to lead with confidence, adapt with grace, and communicate with clarity. This section is about unlocking the potential within individuals to lead with confidence, adapt effectively to change, and communicate with clarity.
Knowledge management and engagement
Fostering a culture of knowledge engagement necessitates the utilisation of key capabilities such as collaboration, codifying knowledge, and adaptability within teams. By employing Retrieval Augmented Generation, organisations can effectively fuse extensive information repositories, converting data into valuable insights that inform decision-making and enhance engagement. This proactive strategy not only improves knowledge management but also cultivates a culture of continuous learning, allowing teams to readily access and implement essential insights in real time, thereby closing the gap between information and action in the rapidly evolving landscape of DevOpsQA with AI.
Continual improvement
Time Management and Prioritization
- Balancing multiple tasks and deadlines effectively.
- Focusing on high-impact activities to maximize efficiency.
- Time accountability
- time management
- get out of the busy-ness trap
- Collaboration and Communication
- Standups
- Meeting skills with AI
- Retrospectives
- Brainstorming
- Conflict management
Close the practice gap
the tools you use and should use to be better at your job
- testing techniques not being practiced
- decision tables
- exploratory testing
- Excel and Word with AI and CoPilot
- Jira
- Confluence
- Sharepoint
Problem-Solving and Critical Thinking
The ability to analyze complex situations, break down problems, and devise practical solutions sets professionals apart. This includes thinking strategically, anticipating challenges, and making data-driven decisions that align with organizational goals.
Focus on Outcomes
High-performing professionals keep their eyes on the ultimate goal: delivering business value. They prioritize work that drives results, balancing short-term wins with long-term strategic impacts
Accountability and Ownership
Taking responsibility for outcomes, whether individual or team-driven, is critical. High performers own their work, meet commitments, and proactively seek solutions to challenges, fostering trust and reliability
Collaboration and Teamwork
- Ability to work effectively in cross-functional teams, including developers, testers, business analysts, and stakeholders.
- Fostering open communication to ensure alignment of goals and understanding.
Communication Skills
- Translating technical language into business terms and vice versa.
- Active listening and providing clear, concise feedback in meetings and documentation.