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.
