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Adopting Atlassian Tools
How Archimedes uses Atlassian tools across all teams
STEPHAN SPENLING | ARCHIMEDES EXHIBITIONS | SPS@AMDX.DE
/*
No, we are not
only doing
software…
*/
/*
we do
product design,
fabrication and
deployment
as well!
Science Center Ostrava
End-to-End production on 4000 sqm
130 exhibits
6 month project time
100 co-workers
Science Tunnel
Traveling exhibition
Touring since 2000
3 iterations
40+ venues world wide
Science Express India
Drop-in deployment of an exhibition in railroad coaches
6 month project time
50 co-workers
6 years operation time
7 million visitors
Felix - The Robot
Interactive robot installation
Emotion recognition software
11 motors to mimic facial expressions
3 month project time
We specialize in
highly customized
lot size 1 productions
in exhibit-related services
AMDX
Get live
project data
of highly dynamic
business processes in
a multi-disciplinary
creative agency.
Do better
forecasts
for workload, cashflow
and revenue
Gain
transparency
by creating a
Single Source of Truth
for all business data and
project communication
Implementation Goals
Agenda
1. Company
2. Main Challenges
3. Toolbox
4. How to get the data in
5. How to get the team aligned
6. Conclusion
Company Profile
Archimedes Exhibitions GmbH (AMDX)
We are one-stop-shop
covering the complete
project lifecycle
Ideas, content, media creation, product
design, project management, hard-/
software dev, system design, crafts, digital
manufacturing
Wild at heart -
punk start in post-wall
Berlin
AMDX provides exhibit-related services
since 1996
Team
Core team: 50 tightly-integrated versatile specialists
Network: 50 loosely associated co-workers
Project-based Business
20 simultaneous projects
Project Time
As short as the delivery times for components
AMDX in
Numbers
Total Visitors
20M+ in all-times / all-venues
Main challenges
In a fast-paced project-based business
Why?
Dramatic Market Changes
More complex deliverables,
in shorter time and with
decreasing budget
Classic communication via
email, spreadsheets and
schedules fail to fit to the
new demands
Pain:
Endless email threads
and outdated
spreadsheets
Live data - driven by workflows,
guided by permissions and used
throughout the company
Cure:
Single Source of Truth
Need for user-
friendly,
scalable,
adjustable
solutions
Get the Team involved
Toolbox
Our favourite Atlassian tools and add-ons
Atlassian tools
… we use to plan, track and organize our work
JIRA
Issue tracking
Confluence
Documentation
HipChat
Ad hoc
communication
Bitbucket
For the devs
EAZYBI
Reports
Aggregated view of project
data in JIRA
Customs
calculations
Based on JIRA data and external
data sources
Dashboards
Embedded in Confluence
templates
Log work
Mandatory for all team members
Approval process
To ensure valid data
Labor hours
Calculation
See below
weißraum in der mitte
wegschneiden!
Timesheets
Organize
The myriad of Issue
perspectives and structures
Slice and dice
Drill down from overview to
the tiny details
Aggregate and
combine
To get all facets of the data
Structure
Custom fields Issue types Workflows Permissions
Jira Mapping
La Machiná
• Project metadata
• Cash inflow
• Time tracking
• Procurements
• Operating budget
• Sales funnel
• Workload Estimates
La Machiná
• Forecasts
• Approvals
• Project documentation+
communication 

• External sharing
• Post Mortem Analysis
• Project metadata
• Cash inflow
• Time tracking
• Procurements
• Operating budget
• Sales funnel
• Workload Estimates
How to get the data in?
Tailoring JIRA to our needs
60%
Labor cost of total project expenses
Employees
Single source for overtime calculation of
employees
Freelancer
Basis for getting approval for worked hours
and invoicing
Get valid
data -
Everyone…
logs in JIRA
Hourly rate database
Labor Cost
Join in EasyBITime tracking data
Labor cost
Per project
Get the data for effective
project management
Per department
Get valid data for lessons
learned
Company-wide
Get the bird’s-eye view
40%
Material cost of total project expenses
Stats
50% of our procurements are less than 100€
500 procurements per project on average
Why not centralized?
Procurement processes require specialized
knowledge - dispatching eats up the time
budget
Distributed
acquisition &
procurement
in JIRA
Procurement Workflow
This is Marco,
our Systems
Designer
Marco has a great idea
for an exhibit...
… but to prototype his idea
he needs a very special
servo motor ...
… easy! He writes a
procurement ticket, ...
… enters the estimated expenses
and gets the issue ID ...
Place the order
Planned
Approval
In House
With this issue ID he
reaches out for quotes…
(as internal ref. number)
Place the order
Planned
Approval
In House
He gets an approval for the
expenses from the project
lead
Place the order
Planned
Approval
In House
Marco orders the servo
motors and enters the delivery
date
Place the order
Planned
Approval
In House
… OMG, the motor arrived.
Great! ...
Place the order
Planned
Approval
In House
... Marco starts prototyping
the exhibit ...
Place the order
Planned
Approval
In House
...get to work
Lucky Cat
7×7 Lucky Cats each with 2 Servos
24 weeks development time
20 Coworkers
200+ Issues
Table Grid
Custom field for gathering items
in the shopping cart
Calculated Total
A scripted custom field to get
the total amount of the order
Accounting Fields
For payment method, accounting
status and invoice number
Procurement issue type
1
Outgoing invoice per workday
Dedicated bookkeeping project
Issues are accounting processes, Invoices are Sub-
Tasks
Schedule invoices
Set and follow up on invoicing dates and due dates
Invoicing
in JIRA
Monitor cash inflow
By aggregating issue data over time
Overdue loop
Automatic status adjustment for overdue invoices
X Y Z ?
Making sense out of the aggregated data
+ + =
Material/Labor costs
Imported from JIRA, calculated in
EasyBI
Operating costs
Imported from a data base
= Company Health
Is the live-view aggregate of the
input data
Cash inflow
Each instalment is related
to an issue
x+y+z=company health
(Non-)billable
We use the JIRA project category to
distinguish
Average hourly rate
Important measure for Forecast
Department hours
For staffing
Project team hours
For poor man’s forecast
Data Mining
How to get the Team aligned
Sharing project information
99%
adoption rate throughout our company
Track business opportunities
Pitches, competitions, tenders, collaborations, …
Get personalities
on Board
Staged rolloutMapped to
culture
Single Source
of Truth
Introducing new workflows
User training
20
Simultaneous Projects = high throughput
Centralized Aggregation
Everyone knows the up-to-date schedule, Budget,
billable Workload
Exchange map for territory
Know the road before you!
Embrace
estimates and
schedules
Distributed estimating
Everyone is consciously participating through
remaining estimates
This is Simon,
our CNC-Operator
Load-balancing CNC-Machine
…he likes to know
the roads head.
Everyone can
create CNC-
Tickets? Yes! In
planned state.
Todo
Planned
Ready for Review
Done
Simon checks the planned
Issues estimates.
Todo
Planned
Ready for Review
Done
….and transitions
Issues to Todo as
they are ready to
go
Todo
Planned
Ready for Review
Done
Simon knows his backlog and capacity
by checking the aggregates…
Todo
Planned
Ready for Review
Done
…he adjusts his shifts or outsources jobs.
Todo
Planned
Ready for Review
Done
Simon knows what is
ahead of him….Simon
is happy.
Throughput
Know the capacity
Upcoming
Know the backlog
Staffing
Add night shifts - if needed ;-)
Load-balancing CNC-Machine
Less
Noise
Include JIRA data
Up-to-date project information, order states,
remaining estimates via gadgets
Comments with history
In-line, in-document comments and
conversations
Templates in Confluence
Neatly designed - ready to use it in crunch times
In-context
communication
via Confluence
External Space
Give the client access to the latest drawings,
wireframes and block diagrams
Vivid communication
Between the actual co-worker and the client in the
drawing context.
Example:
Drawing
approval with
client No (Drop)box
Collaboration instead of just sharing….
External space
Multi-Stakeholder
We pull stakeholders in the loop
by @-mention
Comment Drawings
Painless without special skills.
Approvals
We document approvals here in place.
Conclusion
We solved
some huge
problems...
Workflow-thinking
Reliable guidance for most standard tasks while
increasing data quality
Information architecture
For high throughput while reducing signal-to-
noise ratio
Management by information
Better team and better results by information-
conscious managing
Call to action
1. Find opportunities for
improvement
2.Map your workflow to your
existing process
3.Get rid of excess noise
STEPHAN SPENLING | ARCHIMEDES EXHIBITIONS | SPS@AMDX.DE
Thank you!

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