3 - Your data and analytics strategy Flashcards

1
Q

What is the sunk cost fallacy?

A

The tendency to continue investing in a project based on prior investments rather than future value potential.

It leads to wasted resources when bad ideas are not abandoned.

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2
Q

What is a data and analytics strategy?

A

A statement outlining what an organization wants to achieve with data and how to do it, including what not to pursue.

It encompasses data generation, storage, governance, quality, and analysis.

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3
Q

What are the key components of a data and analytics strategy?

A
  • Data generation
  • Data storage
  • Governance
  • Quality
  • Analysis
  • Business intelligence
  • Data science

These components work together to achieve organizational goals.

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4
Q

What role does the CDO play in an organization?

A

The Chief Data Officer (CDO) is responsible for executing the data and analytics strategy and ensuring data-related problems are addressed.

The CDO’s role can become inflated if not clearly defined, leading to burnout.

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5
Q

True or False: A clear data and analytics strategy helps in defining success and failure.

A

True

It allows stakeholders to assess whether objectives are being met.

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6
Q

What is one disadvantage of not having a clear data and analytics strategy?

A

Projects may continue without delivering value, leading to wasted resources and effort.

This often results in teams being overwhelmed by minor issues instead of focusing on priority challenges.

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7
Q

Fill in the blank: The data periodic table helps to __________.

A

set priorities and outline potential achievements in data projects.

It categorizes approaches to revenue increase, cost reduction, risk mitigation, strategy, and compliance.

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8
Q

What are some approaches to increase revenue according to the data periodic table?

A
  • Increased number of customers through acquisition
  • Improved customer retention
  • Increased customer lifetime journey
  • Improved customer experience
  • Improved lead generation

These strategies focus on enhancing customer engagement and satisfaction.

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9
Q

List three ways to decrease costs based on the data periodic table.

A
  • Reduced cost to serve
  • Increased automation of repetitive tasks
  • Improved operational efficiency

These methods aim to streamline processes and reduce unnecessary expenditures.

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10
Q

What is the importance of defining roles and responsibilities in a data strategy?

A

It ensures accountability and clarity regarding who is responsible for data transformation and project outcomes.

This helps to prevent conflicts and overlaps in responsibilities.

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11
Q

What is a potential consequence of acting without strategic direction in data projects?

A

Failure to achieve important objectives and getting lost in operational crises.

This can lead to frustration and burnout within teams.

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12
Q

What does the data periodic table categorize?

A

Potential achievements in data projects across various domains like revenue increase, cost decrease, risk reduction, strategy, and compliance.

It serves as a guide for organizations to prioritize their data initiatives.

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13
Q

True or False: A data strategy is optional for an organization to succeed.

A

False

A clear data and analytics strategy is essential for achieving business goals.

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14
Q

What should a data and analytics strategy help to avoid?

A

The temptation to pursue every bright idea without alignment to strategic goals.

This helps maintain focus on initiatives that truly create value.

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15
Q

What is one of the key uses of the data and analytics strategy?

A

It helps to keep the organization on track and aligned with its goals during crises.

It acts as a reference to remind stakeholders of agreed priorities.

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16
Q

Fill in the blank: The data periodic table includes categories for __________.

A

revenue increase, decreased costs, reduced risk, strategy, and compliance.

Each category outlines specific actions that can be taken to achieve organizational goals.

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17
Q

What should organizations do when faced with multiple project requests?

A

Refer to the data and analytics strategy to determine which project aligns with strategic objectives.

This ensures effective use of limited resources.

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18
Q

What is the benefit of increased use of external data?

A

Enhances decision-making and insights from diverse sources

External data can provide additional context and improve overall analysis.

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19
Q

What does improved quality of customer data lead to?

A

Increased understanding and insight of customers

Quality customer data is essential for accurate insights and effective decision-making.

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20
Q

What is a single customer view?

A

A comprehensive representation of all data related to a customer

This view consolidates various data points to enhance customer interactions.

21
Q

What does improved data governance involve?

A

Establishing policies and standards for data management

Good governance ensures data quality, compliance, and security.

22
Q

What is the purpose of the data periodic table?

A

To assign strategic business goals to data activities

The table connects business activities to data strategies and toolkit.

23
Q

Which company needs to prioritize customer feedback and service?

A

Company B

This company is losing customers and needs to understand their needs better.

24
Q

What is the first wave of transformation in the five waves model?

A

Aspire

This phase focuses on quick wins and building initial confidence.

25
Q

Fill in the blank: The second wave of transformation is called _______.

A

Mature

This stage involves identifying deeper problems and laying groundwork for future projects.

26
Q

What does the term ‘Value, Build, Improve’ (VBI) refer to?

A

The overlapping components of each wave of transformation

VBI emphasizes creating value, building capabilities, and improving processes.

27
Q

What is the goal of the industrialize phase in data transformation?

A

Optimize data usage through automation and scaling processes

This phase aims to eliminate inefficiencies in data handling.

28
Q

True or False: The data and analytics strategy is simply a list of projects.

A

False

It is a coherent plan with a narrative that guides transformation.

29
Q

What is a key principle to define success in data projects?

A

Establish measurable outcomes aligned with business strategy

Success criteria should be clearly articulated to stakeholders.

30
Q

Which company is focused on cross-selling as a priority?

A

Company C

This company aims to leverage its existing customer base for additional sales.

31
Q

What does improved use of artificial intelligence achieve?

A

Enhances decision-making and operational efficiency

AI can analyze large datasets to identify patterns and insights.

32
Q

What is a potential risk for Company A?

A

Compliance and risk problems with its data

As a new fintech, it may not have established robust data processes.

33
Q

What is the importance of relating data problems to business activities?

A

Helps the business understand the value of data initiatives

Using business language makes data issues more relatable.

34
Q

What does the realize phase focus on?

A

Constant feedback and improving decision-making

This stage emphasizes using data for ongoing enhancements.

35
Q

Fill in the blank: The final stage of transformation is called _______.

A

Differentiate

This phase aims for the business to become a leader and innovator.

36
Q

What should you communicate to garner support for a data strategy?

A

The vision and relevance of the strategy to all employees

Clear communication helps in gaining buy-in from the entire organization.

37
Q

What is a common challenge during the data transformation process?

A

Building confidence in data capabilities at all levels

Stakeholder engagement is crucial for successful implementation.

38
Q

What should you start with when presenting your data strategy?

A

A vision of the destination

This sets the context for your audience and engages them from the start.

39
Q

How should you communicate your data and analytics strategy?

A

In relatable, human terms without management jargon

This helps make the concept of data more accessible to colleagues.

40
Q

What emotional aspect should you emphasize when discussing data?

A

Passion about what data can do for the audience

This can inspire engagement and collaboration from others.

41
Q

What is important to address regarding audience skepticism?

A

Acknowledge their cynicism and show examples of successful companies

This helps to build credibility and trust in your message.

42
Q

What financial incentives should you highlight to your audience?

A

Potential increases in share price, bonuses, and partner wealth

Financial motivations can be a strong driver for support.

43
Q

What is a key strategy regarding the length of your presentation?

A

Don’t outstay your welcome; keep it concise

This ensures your audience remains engaged and eager for more.

44
Q

What should you promise your audience after the presentation?

A

To return in two months with tangible results

This creates anticipation and accountability for delivering value.

45
Q

What is a crucial step before creating a data and analytics strategy?

A

Prioritize potential projects based on business value

This helps focus efforts on the most impactful initiatives.

46
Q

What tool can be used to match projects to areas of business value?

A

The periodic table

Collaboratively using this tool can help identify high-value opportunities.

47
Q

What should you resist when people pitch their projects to you?

A

The temptation to get side-tracked by cool projects

Staying focused on priorities is essential for success.

48
Q

What is an important ongoing communication strategy regarding data efforts?

A

Tell your story to the whole business and remind them of the benefits

This keeps data initiatives top of mind and reinforces their value.