13 - Scaling up and scaling out Flashcards
What is the definition of ‘scale up’?
Increasing the value of data by replicating a successful process across the business.
What is the definition of ‘scale out’?
Increasing the value of data by discovering new applications for a process.
What is a ‘resource multiplier’?
A person in the business who understands the needs and values of the data team and has strong knowledge of a particular department or function.
What is a ‘hackathon’?
An event at which people come together to write or improve computer programs for a specific purpose or challenge.
What does Tony Robbins define as ‘scale’ in business?
To increase revenue at a faster rate than costs.
What is the importance of quick wins in data transformation?
Quick wins can be built on or repeated at a later date.
True or False: Scaling up is about a heroic data team solving problems for others.
False.
What are the two ways to scale mentioned in the text?
- Scale up
- Scale out
What is necessary for scaling up to be effective?
Cooperation with the organization and replication of quality processes.
Fill in the blank: Scaling up requires _______ from the business.
buy-in
What is a key factor in the potential for failure when scaling up?
Absence of quality and trusted data.
What is the goal of using a single customer view (SCV) in data transformation?
To create a complete record of previous interactions and knowledge of all aspects of the customer.
What is one challenge of scaling out?
It may require new data or new ways of working.
What should you do if the data quality is not sufficient for decision-making?
Politely refuse to scale until the quality improves.
What is the significance of automation in scaling up?
Automation helps manage workloads without adding new bodies to the data team.
How can you leverage the data community in scaling efforts?
By involving everyone who touches data in problem-solving activities.
What is the first step of scaling up according to the text?
Define and solve the problem of how to deliver the needed capability.
What did Facebook use hackathons for?
To accelerate innovation and create big ideas quickly.
True or False: Scaling up can be done without a thorough evaluation of requests.
False.
What is the main purpose of scaling up in a business context?
To maximize return on the data team’s investment.
What does the term ‘golden ID’ refer to?
A single record that uniquely identifies the customer to everyone in the organization.
Why is it important to recognize similarities between projects when scaling?
To ensure that scaling up is genuine and not just a new piece of work.
What role do operations teams play in scaling up?
They understand blockers, culture, and frustrations, helping to align goals.
What is a potential pitfall when scaling up too quickly?
It may derail the data transformation process.
What does ‘buy-in from the business’ mean in the context of scaling?
Support from business units, even if they are not data experts.
What challenge did Facebook face regarding innovation?
Facebook had to scale innovation while maintaining its engineering culture.
What is a key benefit of creating a space for engineers to solve problems?
It has the potential to create powerful new ideas.
When did the first Facebook all-night hackathon take place?
The first Facebook all-night hackathon took place in 2007.
What is the structure of Facebook’s hackathons?
7 pm start, 6 am finish, takeaway food, and open to all levels of expertise.
What significant innovations were created during Facebook hackathons?
- Timeline
- ‘Like’ button
- Ability to tag people in comments.
What should be the focus when implementing a hackathon?
Create a structure that encourages innovation, not just coding.
What is a recommended strategy for attendee mixing in hackathons?
Mix attendees from different business units and functions.
Why should you value participants’ time during a hackathon?
Participants are taking time out from their day-to-day jobs to help solve problems.
What approach should be taken regarding ideas at the start of a hackathon?
Be clear that all ideas that work and add value will be considered.
What type of goal should be set for a hackathon?
Set an ambitious, broad goal aligned with the data and analytics strategy.
True or False: Hackathons are solely about coding.
False.
What should happen after the hackathon regarding ideas presented?
Participants should present their ideas and receive feedback.
What is a key outcome of scaling innovation through hackathons?
Building a data culture and community.
What is a potential constraint when scaling the data team?
The number of hours in the day and the size of the data team.
What can lead to resistance from frontline business employees?
If the data transition is imposed on them by a large data team.
What is essential for the success of a data transition?
Delegating responsibilities to resource multipliers outside the data team.
Fill in the blank: The ability to replicate success in other areas offers a potentially enormous _______.
return on investment.
What methods can be used to crowdsource ideas for scaling?
Techniques like hackathons.
Why is cooperation from the business important for implementation?
It is necessary for the implementation to happen at speed.
