agile-business-analysis

Agile Business Analysis And Why It Matters In Business

Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Agile Business AnalysisDescriptionAnalysisImplicationsApplicationsExamples
1. User Stories (US)Create user stories to capture functional requirements and user needs.– Collaborate with stakeholders to define user stories that describe specific features or functionalities. – Include user perspectives, acceptance criteria, and conditions of satisfaction. – Prioritize user stories based on business value and dependencies. – Continuously refine and update user stories as requirements evolve.– Focuses on customer-centric requirements and user needs. – Encourages ongoing collaboration between the project team and stakeholders. – Allows for flexibility in responding to changing requirements.– Gathering user requirements for software development projects. – Defining feature requests in product development.User Stories Example: Creating user stories for an e-commerce platform, including “As a user, I want to add products to my cart for easy checkout.”
2. Backlog Management (BM)Maintain and prioritize a backlog of user stories and requirements.– Develop and maintain a product backlog that includes user stories, features, enhancements, and defects. – Continuously prioritize backlog items based on business value, customer feedback, and project goals. – Decompose larger items into smaller, actionable tasks. – Keep the backlog visible and accessible to the team for planning and execution.– Provides a structured approach to managing project requirements and priorities. – Enables iterative and incremental planning and delivery. – Facilitates transparency and alignment within the project team.– Managing a product backlog for software development sprints. – Prioritizing and sequencing tasks for a marketing campaign.Backlog Management Example: Maintaining a product backlog for a mobile app development project, regularly updating priorities and adding new user stories.
3. Sprint Planning and Execution (SPE)Plan and execute work in time-bound iterations known as sprints.– Collaboratively plan sprint goals, select user stories from the backlog, and estimate the effort required for each task. – Define sprint duration (e.g., 2-4 weeks) and create a sprint backlog. – Execute tasks and user stories within the sprint, with daily stand-up meetings to track progress. – Review and demo completed work at the end of the sprint. – Retrospect to identify areas for improvement.– Enables short-term, focused planning and execution cycles. – Promotes cross-functional collaboration within the sprint team. – Delivers potentially shippable increments of work at the end of each sprint.– Implementing agile methodologies in software development projects. – Conducting marketing campaigns with iterative planning and execution.Sprint Planning and Execution Example: Planning a 2-week sprint for the development of a website feature, including daily stand-up meetings and sprint review.
4. Continuous Stakeholder Engagement (CSE)Engage with stakeholders throughout the project to gather feedback and ensure alignment.– Establish ongoing communication channels with stakeholders to understand their needs and expectations. – Involve stakeholders in sprint reviews, product demos, and backlog prioritization. – Gather feedback, clarify requirements, and make adjustments based on stakeholder input. – Maintain transparency in project progress and changes.– Keeps stakeholders informed and engaged in the project’s direction. – Allows for quick response to changing stakeholder requirements and preferences. – Enhances collaboration and trust between the project team and stakeholders.– Involving end-users in user acceptance testing for software development. – Seeking input from customers during the design and development of a new product.Continuous Stakeholder Engagement Example: Regularly involving business users in the testing and validation of new software features.
5. Adaptation and Iteration (AI)Embrace change and continuously improve by iterating on work and processes.– Emphasize adaptability and flexibility in response to changing requirements or market conditions. – Reflect on the results and lessons learned from each sprint. – Identify opportunities for improvement in processes, team collaboration, and product quality. – Implement changes and adjustments in subsequent iterations. – Encourage a culture of continuous learning and adaptation.– Facilitates the ability to respond to evolving business needs and challenges. – Drives ongoing process improvement and optimization. – Promotes a culture of learning, experimentation, and innovation within the team.– Iteratively developing and enhancing software products based on user feedback. – Continuously improving marketing campaign strategies based on campaign performance.Adaptation and Iteration Example: Iteratively refining a mobile app based on user feedback and analytics, implementing updates in subsequent sprints.

The Significance of Agile Business Analysis

Agile Business Analysis is significant for several reasons:

1. Customer-Centric Approach

It places the customer at the center of the development process, ensuring that the solutions delivered meet their needs and expectations.

2. Adaptability

Agile Business Analysis allows organizations to respond quickly to changing business conditions and customer requirements, fostering adaptability and resilience.

3. Continuous Improvement

The iterative nature of Agile promotes continuous improvement, enabling organizations to refine and enhance their solutions over time.

4. Collaboration

Agile Business Analysis encourages collaboration among cross-functional teams, breaking down silos and fostering a shared understanding of project goals.

5. Risk Mitigation

By delivering smaller increments of value and obtaining regular feedback, Agile Business Analysis helps mitigate project risks and reduces the chances of costly errors.

Principles of Agile Business Analysis

Agile Business Analysis is guided by a set of principles that underpin its practice:

1. Customer Collaboration over Contract Negotiation

  • Foster collaboration between Business Analysts, stakeholders, and development teams.
  • Prioritize understanding customer needs and preferences over rigid contractual agreements.

2. Working Solutions over Comprehensive Documentation

  • Emphasize the creation of working, tangible solutions rather than extensive documentation.
  • Documentation is essential but should serve as a means to an end, not the end itself.

3. Responding to Change over Following a Plan

  • Embrace change and adapt to evolving requirements and priorities.
  • Maintain flexibility in project plans to accommodate new insights and feedback.

4. Individuals and Interactions over Processes and Tools

  • Value individuals and their interactions within the project team.
  • Recognize the importance of communication and collaboration among team members.

5. Value Delivery over Project Completion

  • Prioritize delivering value incrementally and regularly throughout the project.
  • Aim to satisfy customer needs and create a tangible impact.

Agile Business Analysis Practices

Agile Business Analysis encompasses a range of practices that support its principles:

1. User Story Mapping

  • Collaboratively create visual representations of user stories to illustrate the flow and sequence of features.
  • Helps teams gain a shared understanding of the user journey and prioritize work accordingly.

2. Backlog Refinement

  • Regularly review and refine the product backlog to ensure it reflects changing priorities and stakeholder needs.
  • Break down large user stories into smaller, manageable pieces.

3. Persona Development

  • Create user personas to represent different customer segments and their unique characteristics, needs, and goals.
  • Personas serve as a reference point for designing solutions that cater to specific user groups.

4. Impact Mapping

  • Visualize the relationship between project objectives, stakeholders, and the delivery of value.
  • Clarifies the “why” behind project goals and helps teams stay focused on delivering meaningful outcomes.

5. Continuous Feedback

  • Gather and incorporate feedback from stakeholders and end-users throughout the development process.
  • Feedback loops ensure that the solution aligns with customer expectations.

6. Collaborative Workshops

  • Conduct workshops and collaborative sessions with cross-functional teams to elicit requirements, define scope, and generate ideas.
  • Promote communication, creativity, and shared ownership of project goals.

7. Visual Modeling

  • Use visual models such as flowcharts, diagrams, and wireframes to represent requirements and design concepts.
  • Visual aids enhance communication and understanding among team members.

Understanding Agile Business Analysis

With many organizations now adopting agile principles, the role of a business analyst within an agile project team is critical.

Many traditional approaches to project management are outdated in the sense that they are rigid and inflexible.

While modern businesses have a greater need for flexibility and adaptability, the services of a skilled business analyst in finding process improvements are still required.

The certification is designed for aspiring or current business analysts who wish to adopt a flexible, collaborative, and fast-paced approach to doing business.

Importantly, Agile Business Analysis ensures that this approach does not come at the expense of robust business management standards.

Core outcomes of Agile BA training

AgileBA training is based on a handbook published by the Agile Business Consortium. The handbook is the first comprehensive guide for business analysts working on agile projects. 

It seeks to assist analysts in several areas, including:

  • The application of AgileBA principles, processes, and philosophies in a real-world project scenario.
  • Identifying and then applying popular Agile techniques such as MoSCoW and timeboxing.
  • Using the Agile approach to manage or prioritize project requirements using requirement lifecycles.
  • Understanding the various roles and responsibilities of individuals within a project team.
  • Understanding support and facilitation mechanisms within an Agile project.
  • Testing, estimating, or evaluating the delivery of benefits associated with Agile processes and projects.

Benefits of Agile Business Analysis to business

An analyst qualified in AgileBA can offer several benefits to businesses. 

Here are a few of them:

  1. Highlighting process improvements through data analysis and metric tracking. Certified analysts assess projects holistically and provide guidance when a project is too wasteful or has suffered from scope creep.
  2. The clear communication of agile ideas and principles to key stakeholders and decision-makers.
  3. Assisting in the defining and designing of user interfaces and relevant user requirements.
  4. Helping businesses remain goal-oriented. To some extent, this allows businesses to enjoy the tighter controls of traditional management structure while also benefitting from Agile principles.
  5. The adding of value to project development teams. Note that the business analyst does not implement valuable solutions, they simply ensure that valuable solutions are created. Such solutions are defined as any solutions that address consumer needs and align with broader organizational goals.

Key takeaways

  • Agile Business Analysis helps business analysts improve Agile project management in modern organizations.
  • Agile Business Analysis is based on the AgileBA handbook, the first such book to provide comprehensive guidance on the role that an analyst plays in the context of Agile practices.
  • Agile Business Analysis has many benefits to business operations. Chief among these is ensuring that projects are relevant to individual and organizational needs, stay on track, and achieve their stipulated goals. 

Key Highlights of Agile Business Analysis (AgileBA):

  • Definition and Purpose:
    • Agile Business Analysis (AgileBA) is a certification program designed to provide guidance and training for business analysts working in agile environments.
    • It helps business analysts relate agile projects to broader organizational missions and strategies while maintaining robust business management standards.
  • Role of Business Analyst in Agile:
    • In the context of modern organizations adopting agile principles, the role of a business analyst in agile project teams becomes crucial.
    • Agile Business Analysis emphasizes flexibility, collaboration, and adaptability while ensuring process improvements are identified.
  • Core Outcomes of AgileBA Training:
    • AgileBA training, based on the Agile Business Consortium handbook, covers areas such as:
      • Applying AgileBA principles, processes, and techniques in real-world projects.
      • Using popular Agile techniques like MoSCoW and timeboxing.
      • Managing and prioritizing project requirements using Agile approaches.
      • Understanding project team roles, responsibilities, and support mechanisms.
      • Testing, estimating, and evaluating benefits delivery in Agile projects.
  • Benefits to Businesses:
    • AgileBA-certified analysts offer several benefits to businesses, including:
      • Identifying process improvements through data analysis and metrics tracking.
      • Clear communication of agile concepts to stakeholders and decision-makers.
      • Assisting in defining user interfaces and requirements.
      • Balancing traditional management controls with agile principles.
      • Adding value to project development by ensuring valuable solutions are created to address needs and goals.
  • Key Takeaways:
    • Agile Business Analysis enhances Agile project management within modern organizations.
    • Based on the AgileBA handbook, it offers comprehensive guidance for the role of analysts in Agile practices.
    • Benefits include project relevance, alignment with goals, staying on track, and achieving project objectives.

Connected Agile & Lean Frameworks

AIOps

aiops
AIOps is the application of artificial intelligence to IT operations. It has become particularly useful for modern IT management in hybridized, distributed, and dynamic environments. AIOps has become a key operational component of modern digital-based organizations, built around software and algorithms.

AgileSHIFT

AgileSHIFT
AgileSHIFT is a framework that prepares individuals for transformational change by creating a culture of agility.

Agile Methodology

agile-methodology
Agile started as a lightweight development method compared to heavyweight software development, which is the core paradigm of the previous decades of software development. By 2001 the Manifesto for Agile Software Development was born as a set of principles that defined the new paradigm for software development as a continuous iteration. This would also influence the way of doing business.

Agile Program Management

agile-program-management
Agile Program Management is a means of managing, planning, and coordinating interrelated work in such a way that value delivery is emphasized for all key stakeholders. Agile Program Management (AgilePgM) is a disciplined yet flexible agile approach to managing transformational change within an organization.

Agile Project Management

agile-project-management
Agile project management (APM) is a strategy that breaks large projects into smaller, more manageable tasks. In the APM methodology, each project is completed in small sections – often referred to as iterations. Each iteration is completed according to its project life cycle, beginning with the initial design and progressing to testing and then quality assurance.

Agile Modeling

agile-modeling
Agile Modeling (AM) is a methodology for modeling and documenting software-based systems. Agile Modeling is critical to the rapid and continuous delivery of software. It is a collection of values, principles, and practices that guide effective, lightweight software modeling.

Agile Business Analysis

agile-business-analysis
Agile Business Analysis (AgileBA) is certification in the form of guidance and training for business analysts seeking to work in agile environments. To support this shift, AgileBA also helps the business analyst relate Agile projects to a wider organizational mission or strategy. To ensure that analysts have the necessary skills and expertise, AgileBA certification was developed.

Agile Leadership

agile-leadership
Agile leadership is the embodiment of agile manifesto principles by a manager or management team. Agile leadership impacts two important levels of a business. The structural level defines the roles, responsibilities, and key performance indicators. The behavioral level describes the actions leaders exhibit to others based on agile principles. 

Andon System

andon-system
The andon system alerts managerial, maintenance, or other staff of a production process problem. The alert itself can be activated manually with a button or pull cord, but it can also be activated automatically by production equipment. Most Andon boards utilize three colored lights similar to a traffic signal: green (no errors), yellow or amber (problem identified, or quality check needed), and red (production stopped due to unidentified issue).

Bimodal Portfolio Management

bimodal-portfolio-management
Bimodal Portfolio Management (BimodalPfM) helps an organization manage both agile and traditional portfolios concurrently. Bimodal Portfolio Management – sometimes referred to as bimodal development – was coined by research and advisory company Gartner. The firm argued that many agile organizations still needed to run some aspects of their operations using traditional delivery models.

Business Innovation Matrix

business-innovation
Business innovation is about creating new opportunities for an organization to reinvent its core offerings, revenue streams, and enhance the value proposition for existing or new customers, thus renewing its whole business model. Business innovation springs by understanding the structure of the market, thus adapting or anticipating those changes.

Business Model Innovation

business-model-innovation
Business model innovation is about increasing the success of an organization with existing products and technologies by crafting a compelling value proposition able to propel a new business model to scale up customers and create a lasting competitive advantage. And it all starts by mastering the key customers.

Constructive Disruption

constructive-disruption
A consumer brand company like Procter & Gamble (P&G) defines “Constructive Disruption” as: a willingness to change, adapt, and create new trends and technologies that will shape our industry for the future. According to P&G, it moves around four pillars: lean innovation, brand building, supply chain, and digitalization & data analytics.

Continuous Innovation

continuous-innovation
That is a process that requires a continuous feedback loop to develop a valuable product and build a viable business model. Continuous innovation is a mindset where products and services are designed and delivered to tune them around the customers’ problem and not the technical solution of its founders.

Design Sprint

design-sprint
A design sprint is a proven five-day process where critical business questions are answered through speedy design and prototyping, focusing on the end-user. A design sprint starts with a weekly challenge that should finish with a prototype, test at the end, and therefore a lesson learned to be iterated.

Design Thinking

design-thinking
Tim Brown, Executive Chair of IDEO, defined design thinking as “a human-centered approach to innovation that draws from the designer’s toolkit to integrate the needs of people, the possibilities of technology, and the requirements for business success.” Therefore, desirability, feasibility, and viability are balanced to solve critical problems.

DevOps

devops-engineering
DevOps refers to a series of practices performed to perform automated software development processes. It is a conjugation of the term “development” and “operations” to emphasize how functions integrate across IT teams. DevOps strategies promote seamless building, testing, and deployment of products. It aims to bridge a gap between development and operations teams to streamline the development altogether.

Dual Track Agile

dual-track-agile
Product discovery is a critical part of agile methodologies, as its aim is to ensure that products customers love are built. Product discovery involves learning through a raft of methods, including design thinking, lean start-up, and A/B testing to name a few. Dual Track Agile is an agile methodology containing two separate tracks: the “discovery” track and the “delivery” track.

eXtreme Programming

extreme-programming
eXtreme Programming was developed in the late 1990s by Ken Beck, Ron Jeffries, and Ward Cunningham. During this time, the trio was working on the Chrysler Comprehensive Compensation System (C3) to help manage the company payroll system. eXtreme Programming (XP) is a software development methodology. It is designed to improve software quality and the ability of software to adapt to changing customer needs.

Feature-Driven Development

feature-driven-development
Feature-Driven Development is a pragmatic software process that is client and architecture-centric. Feature-Driven Development (FDD) is an agile software development model that organizes workflow according to which features need to be developed next.

Gemba Walk

gemba-walk
A Gemba Walk is a fundamental component of lean management. It describes the personal observation of work to learn more about it. Gemba is a Japanese word that loosely translates as “the real place”, or in business, “the place where value is created”. The Gemba Walk as a concept was created by Taiichi Ohno, the father of the Toyota Production System of lean manufacturing. Ohno wanted to encourage management executives to leave their offices and see where the real work happened. This, he hoped, would build relationships between employees with vastly different skillsets and build trust.

GIST Planning

gist-planning
GIST Planning is a relatively easy and lightweight agile approach to product planning that favors autonomous working. GIST Planning is a lean and agile methodology that was created by former Google product manager Itamar Gilad. GIST Planning seeks to address this situation by creating lightweight plans that are responsive and adaptable to change. GIST Planning also improves team velocity, autonomy, and alignment by reducing the pervasive influence of management. It consists of four blocks: goals, ideas, step-projects, and tasks.

ICE Scoring

ice-scoring-model
The ICE Scoring Model is an agile methodology that prioritizes features using data according to three components: impact, confidence, and ease of implementation. The ICE Scoring Model was initially created by author and growth expert Sean Ellis to help companies expand. Today, the model is broadly used to prioritize projects, features, initiatives, and rollouts. It is ideally suited for early-stage product development where there is a continuous flow of ideas and momentum must be maintained.

Innovation Funnel

innovation-funnel
An innovation funnel is a tool or process ensuring only the best ideas are executed. In a metaphorical sense, the funnel screens innovative ideas for viability so that only the best products, processes, or business models are launched to the market. An innovation funnel provides a framework for the screening and testing of innovative ideas for viability.

Innovation Matrix

types-of-innovation
According to how well defined is the problem and how well defined the domain, we have four main types of innovations: basic research (problem and domain or not well defined); breakthrough innovation (domain is not well defined, the problem is well defined); sustaining innovation (both problem and domain are well defined); and disruptive innovation (domain is well defined, the problem is not well defined).

Innovation Theory

innovation-theory
The innovation loop is a methodology/framework derived from the Bell Labs, which produced innovation at scale throughout the 20th century. They learned how to leverage a hybrid innovation management model based on science, invention, engineering, and manufacturing at scale. By leveraging individual genius, creativity, and small/large groups.

Lean vs. Agile

lean-methodology-vs-agile
The Agile methodology has been primarily thought of for software development (and other business disciplines have also adopted it). Lean thinking is a process improvement technique where teams prioritize the value streams to improve it continuously. Both methodologies look at the customer as the key driver to improvement and waste reduction. Both methodologies look at improvement as something continuous.

Lean Startup

startup-company
A startup company is a high-tech business that tries to build a scalable business model in tech-driven industries. A startup company usually follows a lean methodology, where continuous innovation, driven by built-in viral loops is the rule. Thus, driving growth and building network effects as a consequence of this strategy.

Minimum Viable Product

minimum-viable-product
As pointed out by Eric Ries, a minimum viable product is that version of a new product which allows a team to collect the maximum amount of validated learning about customers with the least effort through a cycle of build, measure, learn; that is the foundation of the lean startup methodology.

Leaner MVP

leaner-mvp
A leaner MVP is the evolution of the MPV approach. Where the market risk is validated before anything else

Kanban

kanban
Kanban is a lean manufacturing framework first developed by Toyota in the late 1940s. The Kanban framework is a means of visualizing work as it moves through identifying potential bottlenecks. It does that through a process called just-in-time (JIT) manufacturing to optimize engineering processes, speed up manufacturing products, and improve the go-to-market strategy.

Jidoka

jidoka
Jidoka was first used in 1896 by Sakichi Toyoda, who invented a textile loom that would stop automatically when it encountered a defective thread. Jidoka is a Japanese term used in lean manufacturing. The term describes a scenario where machines cease operating without human intervention when a problem or defect is discovered.

PDCA Cycle

pdca-cycle
The PDCA (Plan-Do-Check-Act) cycle was first proposed by American physicist and engineer Walter A. Shewhart in the 1920s. The PDCA cycle is a continuous process and product improvement method and an essential component of the lean manufacturing philosophy.

Rational Unified Process

rational-unified-process
Rational unified process (RUP) is an agile software development methodology that breaks the project life cycle down into four distinct phases.

Rapid Application Development

rapid-application-development
RAD was first introduced by author and consultant James Martin in 1991. Martin recognized and then took advantage of the endless malleability of software in designing development models. Rapid Application Development (RAD) is a methodology focusing on delivering rapidly through continuous feedback and frequent iterations.

Retrospective Analysis

retrospective-analysis
Retrospective analyses are held after a project to determine what worked well and what did not. They are also conducted at the end of an iteration in Agile project management. Agile practitioners call these meetings retrospectives or retros. They are an effective way to check the pulse of a project team, reflect on the work performed to date, and reach a consensus on how to tackle the next sprint cycle. These are the five stages of a retrospective analysis for effective Agile project management: set the stage, gather the data, generate insights, decide on the next steps, and close the retrospective.

Scaled Agile

scaled-agile-lean-development
Scaled Agile Lean Development (ScALeD) helps businesses discover a balanced approach to agile transition and scaling questions. The ScALed approach helps businesses successfully respond to change. Inspired by a combination of lean and agile values, ScALed is practitioner-based and can be completed through various agile frameworks and practices.

SMED

smed
The SMED (single minute exchange of die) method is a lean production framework to reduce waste and increase production efficiency. The SMED method is a framework for reducing the time associated with completing an equipment changeover.

Spotify Model

spotify-model
The Spotify Model is an autonomous approach to scaling agile, focusing on culture communication, accountability, and quality. The Spotify model was first recognized in 2012 after Henrik Kniberg, and Anders Ivarsson released a white paper detailing how streaming company Spotify approached agility. Therefore, the Spotify model represents an evolution of agile.

Test-Driven Development

test-driven-development
As the name suggests, TDD is a test-driven technique for delivering high-quality software rapidly and sustainably. It is an iterative approach based on the idea that a failing test should be written before any code for a feature or function is written. Test-Driven Development (TDD) is an approach to software development that relies on very short development cycles.

Timeboxing

timeboxing
Timeboxing is a simple yet powerful time-management technique for improving productivity. Timeboxing describes the process of proactively scheduling a block of time to spend on a task in the future. It was first described by author James Martin in a book about agile software development.

Scrum

what-is-scrum
Scrum is a methodology co-created by Ken Schwaber and Jeff Sutherland for effective team collaboration on complex products. Scrum was primarily thought for software development projects to deliver new software capability every 2-4 weeks. It is a sub-group of agile also used in project management to improve startups’ productivity.

Scrumban

scrumban
Scrumban is a project management framework that is a hybrid of two popular agile methodologies: Scrum and Kanban. Scrumban is a popular approach to helping businesses focus on the right strategic tasks while simultaneously strengthening their processes.

Scrum Anti-Patterns

scrum-anti-patterns
Scrum anti-patterns describe any attractive, easy-to-implement solution that ultimately makes a problem worse. Therefore, these are the practice not to follow to prevent issues from emerging. Some classic examples of scrum anti-patterns comprise absent product owners, pre-assigned tickets (making individuals work in isolation), and discounting retrospectives (where review meetings are not useful to really make improvements).

Scrum At Scale

scrum-at-scale
Scrum at Scale (Scrum@Scale) is a framework that Scrum teams use to address complex problems and deliver high-value products. Scrum at Scale was created through a joint venture between the Scrum Alliance and Scrum Inc. The joint venture was overseen by Jeff Sutherland, a co-creator of Scrum and one of the principal authors of the Agile Manifesto.

Six Sigma

six-sigma
Six Sigma is a data-driven approach and methodology for eliminating errors or defects in a product, service, or process. Six Sigma was developed by Motorola as a management approach based on quality fundamentals in the early 1980s. A decade later, it was popularized by General Electric who estimated that the methodology saved them $12 billion in the first five years of operation.

Stretch Objectives

stretch-objectives
Stretch objectives describe any task an agile team plans to complete without expressly committing to do so. Teams incorporate stretch objectives during a Sprint or Program Increment (PI) as part of Scaled Agile. They are used when the agile team is unsure of its capacity to attain an objective. Therefore, stretch objectives are instead outcomes that, while extremely desirable, are not the difference between the success or failure of each sprint.

Toyota Production System

toyota-production-system
The Toyota Production System (TPS) is an early form of lean manufacturing created by auto-manufacturer Toyota. Created by the Toyota Motor Corporation in the 1940s and 50s, the Toyota Production System seeks to manufacture vehicles ordered by customers most quickly and efficiently possible.

Total Quality Management

total-quality-management
The Total Quality Management (TQM) framework is a technique based on the premise that employees continuously work on their ability to provide value to customers. Importantly, the word “total” means that all employees are involved in the process – regardless of whether they work in development, production, or fulfillment.

Waterfall

waterfall-model
The waterfall model was first described by Herbert D. Benington in 1956 during a presentation about the software used in radar imaging during the Cold War. Since there were no knowledge-based, creative software development strategies at the time, the waterfall method became standard practice. The waterfall model is a linear and sequential project management framework. 

Read Also: Continuous InnovationAgile MethodologyLean StartupBusiness Model InnovationProject Management.

Read Next: Agile Methodology, Lean Methodology, Agile Project Management, Scrum, Kanban, Six Sigma.

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