Process Pipelines

Discover how process pipelines break down complex tasks into manageable steps, optimizing workflows and improving efficiency using Kanban boards.

Process pipeline is a system to break down complex repeatable work into digestable steps that lead to concrete results.

Processes, unlike projects, don't have a defined completion time and goal. Their goal is to keep running and moving forward at a steady pace.

Examples of endless processes

  • We brush teeth every day, there is no goal to that.

  • We read new books once in a while, with no stop in sight.

  • We continue learning to advance our goals and career throughout the life.

     

Kanban boards are great for visualising such pipelines, even for yourself. They work because:

  • we can judge state of the entire process at a glance;

  • "work in progress" and bottlenecks are visible;

  • it is clear than one progresses by move things from one side to another

     

As engineers we have already intuition about long-running processes that break down work into multiple steps: data processing pipelines, sagas, actors, channels and routines, pipes, queues etc.

Process pipelines, when it comes to organisations and non-software things, are very similar in nature.

Instead of lambdas and code, steps are being executed by people. Frequently by ourselves, in a different mood and context.

We could use that similarity to design and run such pipelines.

For example, got too many cards in middle columns? Something is wrong with the process, bottleneck will just keep on growing and consuming RAM. We need to apply back-pressure or reduce the load on processors.

Work flow

Everything looks right, but work just doesn't flow? Let's measure queue processing latency at every step, identify the biggest factor eating at our time budget and start by optimising it.

For example, when wearing "Manager Hat" (will be covered in “Two Hats” blog post) I use Kanban to break down work and prepare it for my worker persona:

  • design the structure to maximise the flow;

  • Deep linking cards to actual items to reduce context switching;

  • let worker pick any card, as long as WIP stays minimal and process runs.

This approach is also at the heart of my writing process. It works quite good there.

 

Blog 8/10/23

Machine Learning Pipelines

In this first part, we explain the basics of machine learning pipelines and showcase what they could look like in simple form. Learn about the differences between software development and machine learning as well as which common problems you can tackle with them.

Bewerbungsprozess bei catworkx - fair und transparent!
Jobs 9/13/22

Application process

Are you planning to apply? Great, we look forward to hearing from you! Here you will find an overview of our application process.

Blog 12/19/22

Creating a Cross-Domain Capable ML Pipeline

As classifying images into categories is a ubiquitous task occurring in various domains, a need for a machine learning pipeline which can accommodate for new categories is easy to justify. In particular, common general requirements are to filter out low-quality (blurred, low contrast etc.) images, and to speed up the learning of new categories if image quality is sufficient. In this blog post we compare several image classification models from the transfer learning perspective.

Blog 11/14/23

Part 2: Data Analysis with powerful Python

Analyzing and visualizing data from a SQLite database in Python can be a powerful way to gain insights and present your findings. In Part 2 of this blog series, we will walk you through the steps to retrieve data from a SQLite database file named gold.db and display it in the form of a chart using Python. We'll use some essential tools and libraries for this task.

Process Integration & Automation
Service

Process Integration & Automation

Digitizing and improving business processes and reacting to changes in an agile way – these are the challenges that more and more companies need to face.

Service

Application Integration & Process Automation

Digitizing and improving business processes and responding agilely to change – more and more companies are facing these kind of challenges.

Referenz 4/13/23

Continuous Improvement Process (CIP)

K+S relies on the standard solution “target Idea Management”. The use of the software was increasingly expanded in several stages.

Service

Process Transformation, Integration & Automation

Using Process Transformation, Integration & Automation to react quickly to market changes and sustainably improve competitiveness.

Referenz

Digitized processes increase efficiency

TIMETOACT & X-INTEGRATE accompany energy supplier e-regio on the way to digitalization. The consulting services in the project included content management, archiving, collaboration and automation.

Referenz

Flexible Version Management via processes in Jira

Jira from Atlassian offers standardized version management for Jira projects. catworkx has further developed a flexible version management system based on Jira processes...

Logo von IPG - Experts in IAM
Unternehmen 1/26/21

IPG Information Process Group Holding AG

IPG Group specializes in the design, integration, operation and training of IAM solutions.

Kompetenz 9/4/25

Digital Process Management for Lasting Success

We optimize your digital workflows, making processes efficient, flexible, and growth drivers of quality and customer satisfaction.

Cheerful business colleagues watching a presentation on a laptop
Service

Process optimization with Microsoft Business Applications

Digitalizing your business processes using low-code/no-code solutions helps reduce complexity and visualize your results. We help with process optimization with Microsoft Business Applications.

Referenz

Audit Successful: Process Optimization Per Automotive SPICE®

An automotive supplier faced the challenge of having the processes of a large development project certified by an external auditor according to the Automotive SPICE standard. The focus was also on...

Wissen 5/30/24

LLM-Benchmarks May 2024

This LLM Leaderboard from may 2024 helps to find the best Large Language Model for digital product development.

Wissen 4/30/24

LLM-Benchmarks April 2024

This LLM Leaderboard from april 2024 helps to find the best Large Language Model for digital product development.

Wissen 7/30/24

LLM-Benchmarks July 2024

This LLM Leaderboard from July 2024 helps to find the best Large Language Model for digital product development.

Blog 2/3/25

ChatGPT & Co: LLM Benchmarks for January

Find out which large language models outperformed in the January 2025 benchmarks. Stay informed on the latest AI developments and performance metrics.

Blog 5/17/24

8 tips for developing AI assistants

8 practical tips for implementing AI assistants

Blog 5/16/24

Common Mistakes in the Development of AI Assistants

We share how failures when implementing AI occurr and what can be learned from them for future projects: So that AI assistants can be implemented more successfully in the future!

Bleiben Sie mit dem TIMETOACT GROUP Newsletter auf dem Laufenden!