Enterprise and Team Health Profile
We are experimenting with a Scrum Health Profile to access the maturity of scrum teams. Using the OODA (Observe, Orientate, Decide , Act loops ) as a non linear team learning and adaption process to navigate their growth, make decisions and deliver better products. Results are positive as the maturity model is helping anchor the teams focus, improve the flow of information and expand expertise so the team can learn and deliver value to their customers enable teaming practices to emerge which would otherwise not have occurred. Through a systemic mechanism of learning
The framework is built in an AWS server-less stack to scale using Dynamo DB , rest API’s and Google Chart Tools to enable a rich gallery of interactive charts and data tools to promote a more immersive visual experience for the user
Agile Game - Story Telling
We are experimenting with an online story and visualization, as an agile process. Where the user community is building the story-line. To build and interact with the community through multiple channels and layers of interactivity.
With this contextual storytelling localized to teams that can make things more personnel an connect people to build story bridges.
In this emergent “game play” we do not understand the end result. It emerges through story telling and chaos theory
It will be built on multiple interaction points, cloud native and not dictated by any any format and using multiple access technologies , to provide the user an immersive experience
Sentiment Analysis of Agile Maturity Parameters
A fictitious organization has been growing very quickly and maturing the health of their DevOps. After each product release the Delivery Teams want to understand how consumers are enjoying and using their products. Additionally the delivery teams want to ensure that the consumers are are having a good experience with their services .
The company sees an opportunity the Delivery and customer experience teams to work closer together to capture the following insights from social media and operational metrics and logs. Specifically from social media :
- How consumers are using their products
- Ensure customer satisfaction
- Plan future road maps
Hence we chose Amazon Kinesis as a way to ingest and process incoming events.
Will use AWS Amazon Kinesis is scalable to ingest the information from social media sites and other data producers to and will scale it up/down your Streams by adding/removing more shards. And we will use Lambda functions (i.e. executable piece of code) to process events by linking it to the Kinesis stream. As soon as an event appears on the stream the Lambda function will be executed, to complete the sentiment analysis .
Establishing POC using AWS cloud based services to build and application on Amazon EC2, to poll the social media sites through their respective API’s and operational metrics to create AWS Kinesis streams for each site and then using lambda function for processing and normalizing the data and requesting sentiment analysis predictions from Amazon Machine Learning
Business Process Management - The Next Wave
The promise of the next wave of BPM services will be more be more visually driven, low-code environment to better enable collaboration across business and IT and foster greater innovation and organisational agility
The cloud will provide more opportunities to develop integrate and automate processes with artificial intelligence and robotics, to unify business processes, customer journeys and DevOps end-to-end. And through real-time insights from operations and market intelligence will increase the agility and scalability of business
The cloud will redefine BPM to manage much richer immersive complex environments. The cloud will continue to build “virtual networks of inter-operating clouds (private, public and hybrid), and business complexity will grow exponentially. A new wave of BPM tools and methods is required to build businesses that can operate in complex ecosystems, and are adaptive work on the edge of chaos