Strategy and Governance Flashcards
(47 cards)
Why measure?
- Measuring allows to keep track on the sucess of an action
- Measuring works as a basis to optmize and evolve
- Measuring allows you to follow trends and behaviours
- Measuring helps us find the best strategy
What should we measure?
Online everything is measurable
Visitor behaviour
Visibility of our campaign
Target interest in the content (text, video, image)
Return on investment
Effectiveness of communication
Ease of use of an app or website
How is the cycle of analytics
The KPIs go around a loop
- Strategy (define where to go)
- Measure (check every step and adjust in order to optimize)
- Innovate (find the best solutions to meet our goals)
- Implement (Having our goal in mind, use the defined tools to fulfill it)
What are the benefits of SMART goals
- Get everyone on the same page
- Help you identify resources
- Increase your change of sucess
- Allow you to monitor performance
- Motivate your team
- Provide a clear beginning and end
- Help you manage workloads
What does SMART goals mean
Specific
Measurable
Attainable
Relevant
Time based
Sla
Service level agrement
Business Goals
Business goals are the major goal of your strategy or property (website, mobile app, presence in social networks) depending on the scope
per example:
sell products, build a contact base of potencial, build a loyal audience, explore a new audience niche
Strategic Goals
Strategic goals are the approach and activities we plan to focus to achieve a business goal.
For example:
For the business goal of sell products you can have the strategic goals of
- increase number o unique visitors
- increase conversion rate
- foster purchases from old customers
What are metrics
Metrics are a quantitative measurement of statistics describing events or trends on a website
KPI
Key performance indicators
Metrics or key indicators to measure the success and effectiveness of a campaign, an action, a process, a website, among others according to set goals
How to choose KPIs
Be in line with the set goals,
Be in line with expectations
Be acknowledged by all
Be measurable and reliable
Be measured regularly
Dimensions
Dimensions are features or elements that allow us to target or filter basic indicators to enrich information and to analyze the behavior of a subset
Segments
Segments are groups of dimensions that allow us to extract value from the available metrics and to evaluate the sucess of our action and the fulfillment of the strategic objectived
Data Governance
Data governance is a collection of processes, roles, policies, standarts and metrics that ensurr the effective and efficient use of information in enabling an organization to achieve its goals
It includes
- information lifecycle governance
- data privacy
- data stewardship
- data quality
- metadata management
- master and reference data management
- data security management
What are the 3 pilars of data governance
People
Process
Technology
In what areas should we focus in data governance
- Ownership
- Accessibility
- Security
- Quality
- Knowledge
How to develop a data governance strategy in 7 steps
- Identify and prioritize existing data
- Choose a metadata storage option
- Prepare and transform the metadata
- Build a governance model
- Establish a process for distribution
- Identify potencial risks
- Constantly adapt your data governance framework
Data privacy
Data privacy is the control an individual or organization has over sensitive information stored or collected about them
What are some key points on privacy in digital analytics
- Data privacy regulations
- Core privacy principles
- Implications for digital analytics
What are the data privacy regulations
- GDPR (General data protection regulations): governs how companies handle personal data of EU citizens
- CCPA (California consumer privacy act): grants california residents more control over their personal data
- ePrivacy Directive: regulates cookies usage and other online tracking
What are core privacy principles
Consent: users must give clear, informed consent before data collection
Data minimization: collect only the data necessary for the specific purpose
Transparency: clear communication about how data is collected, used and shared
What are the implications of data privacy in digital analytics
Data anonymization: reducing the risk of identifying individuals through data
User control: providing options for users to opt-out of tracking (e.g. cookie banners)
Impact on tracking: limitations on thrid party usage and tracking across multiple sites
What are the types of data we have of our users
Zero party
First party
Second party
Thrid party
Zero party data
personal information that is willingly and deliberately shared