Post on 13-Apr-2017
Benjamin Cave – Trainer
@cave_ben2 May 2023
Open Data Change
Assess for Success
Monitoring your organisation's journey
Open data pathway does for organisations what open data certificates does for datasets
Purpose #1
Assess how effectively an organisation publishes and consumes open data
Purpose #2
Help organisations understand how they can improve their open data practice
Purpose #3
Provide an effective reporting tool to help deliver the message of organisational change
Minimal awareness of open data and no recognition of its potential value to the business
Ad hoc / tactical / inconsistent use of open data
Targeted use of open data amongst specialist teams
Integrated use of data and publication of open data driving business value and new business models
● Senior management championing open data and sharing stories exemplifying the benefits and value it can bring
● Teams across the business consistently using open data to generate answers to problems, innovate and operate more effectively
● Training, engagement and events promoting the value of open data being shared internally and externally so employees and customers feel encouraged and empowered to use and publish data
Managed and supported use of open data across the organisation.
Adapted from a slide by Georgia Phillips
understand that the value isn’t in the data itself but in what you do with it
make data part of their core strategy or a critical part of their strategy
use data to inform what they do and the decisions they make
invest in training their domain specialists to understand and use data to enable business specific outcomes
Integrated use of data and publication of open data
driving business value and new business models
Adapted from a slide by Georgia Phillips
Open has potential if we…
http://pathway.theodi.org/statistics
Open data pathway● http://pathway.theodi.org● self-service assessment tool
o answer questions & document evidence to score progresso set goals for improvemento get suggested improvements
● compare progress with other organisations● suitable for any organisation
Open data maturity model
http://theodi.org/guides/maturity-model
Theory behind the pathwayo identifies 15 areas of activityo which are grouped into 5 themes
Two parts:o the grid is the actual modelo the guide is background documentation and help
Maturity LevelsInitial – Inconsistent and ad hoc activities
Repeatable – Refined processes but isolated within teams
Defined – Standardised practices across the organisation
Managed – Effectiveness of internal process and activities measured
Optimised – Fully integrated and refined process, maximal efficiency
ThemesData Management Processes
Quality control, publication workflow, use of standards.
Knowledge & SkillsKnowledge sharing, training and skills development
Customer Support & Engagement
Investment & Financial PerformanceAligning investments with value and seeking savings from
data re-use
Strategy & Governance Strategy and policy
12 Key ActionsSenior support before
launchCombine top-down &
frontlineCommunicate openly &
oftenQuick wins aligned to
goals
Identify the right people to
help
Central change management
Clear change leadership
Shout about impactSeek
partnerships with othersPromote professional development
Build consistent metrics
Clear vision; clear examples
Understanding open data business models
Understanding the landscape
To enhance participants’ ability to develop new business models for open data
Course aim
Define the purpose of a business modelDefine the value of open data to your businessDescribe key archetypes of open data business models
Outcomes
Business models
‘A business model is the logic of an organization to create value’
Osterwalder et. al. Business Model Creation
Step 1 – Defining the value of your open data service
What is the value of open data?Open data is free - value no-longer comes from data itself, but products and services – added value developed for the marketEase of use
Behaviour changeImprove innovationIncrease performance
Reduce client costReduce your costsReduce riskIncrease accessibilityBuild new partnershipsImprove a brandSolidify value propositionBenchmark your performance
Step 2 – Finding the right revenue model
What models are working for open data right now?
Sectors of OD businesses
Most popular data types
How they got the data
Open Revenue Models
Premium
Freemium
Cross Subsidy
Demand-Platforms
Razors/Blades
White LabelSupply Platforms
Advertising Data Acc.
Business strategies
Organisation – Boost the brand
Platform – Collaborate to collect
Services – Features for funds
ExerciseMap the following:
Step 3 – Knowing when to start charging
29 cities worldwide$10m VC round in 2014
Rapid growth Model:
Expansion -led
1,500 developers
Three pricing tiers
£300k annual turnover Model:
Flexible price
Premium product setData supply agreement
$930m takeoverModel:
Acquisition
Pricing considerations
1. Calculate the price to the customer of retrieving data on their own
2. Add time/inconvenience estimate3. Divide by likely number of future uses4. Add any in-kind value estimate
The above should be higher than the cost of the product for 50% of likely customers
Session 2
Building a business model
Creating something that works for you
Use the Osterwalder Business Model CanvasLead a group discussion on developing a business model canvasProduce a complete business model canvas for their product/service
Outcomes
The canvas
Image: JAM
The process
Image: Harry Verwayen
Session 4
Integrating your business model into your work
Turning theory into practice
Prepare a pitch for a new business modelSummarise criteria for reassessing of a business modelAnalyse future innovation opportunities in your open data business
Outcomes
Step 4 – Remodelling
Question
What would cause you to reexamine your data business model?
When to Innovate
1. Changes in the market2. Changes in the data3. Changes in the customer needs4. Changes in the team5. Changes in the product
performance
Benjamin Cave – Trainer
@cave_ben2 May 2023
Thank-you