Getting started on the Data Strategy
Getting started on the Data Strategy, available at $44.99, has an average rating of 3.6, with 53 lectures, 2 quizzes, based on 38 reviews, and has 192 subscribers.
You will learn about Understand the purpose of a data strategy Understand the core components of a data strategy Use a strategic plan to lead the evolution of the organisations data maturity Plan and Produce a data strategy This course is ideal for individuals who are Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy It is particularly useful for Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy.
Enroll now: Getting started on the Data Strategy
Summary
Title: Getting started on the Data Strategy
Price: $44.99
Average Rating: 3.6
Number of Lectures: 53
Number of Quizzes: 2
Number of Published Lectures: 53
Number of Published Quizzes: 2
Number of Curriculum Items: 62
Number of Published Curriculum Objects: 62
Original Price: £44.99
Quality Status: approved
Status: Live
What You Will Learn
- Understand the purpose of a data strategy
- Understand the core components of a data strategy
- Use a strategic plan to lead the evolution of the organisations data maturity
- Plan and Produce a data strategy
Who Should Attend
- Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy
Target Audiences
- Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy
Data is becoming a key differentiator in business and has been referred to as the new oil but what does that mean? With data, an organisation can more quickly refine its market offering to optimise the value of its business. Quickly adapting to changes in customer and market behaviour. Or even build out entirely new data-dependent value chains for the organisation, often called Infornomics.
In this course, we will learn to align the data strategy with the business strategy. To balance the pillars of a data strategy:
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Data Analytics: Data Assets, Analytical Insights, and Data Science Insights
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Data Services: Data Platforms, Engineering and Operations
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Data Governance: Data Ownership, Data Controls, and Data Curation
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People: Data Citizens, Data Professionals, Data Skills
You will learn to avoid the common pitfalls of a data strategy and acquire the skills to face the challenges of delivering a data strategy and getting it accepted by the organisation.
The course breaks down the data strategy into components parts and provides techniques for analysing the current data landscape. This analysis allows the identification of concerns which can be addressed through a strategic plan of change within the data strategy.
The course includes some quizzes to embed the terminology we will learn and some assignments to practice the techniques. Each assignment has a worksheet and example answer.
The final data strategy needs to be optimised for the organisation’s situation and culture. The course can help you prepare to deliver a narrative for your organisation’s data strategy.
Course Curriculum
Chapter 1: Introduction
Lecture 1: The course goals
Lecture 2: Introducing your tutor
Lecture 3: The course approach
Lecture 4: Section summary
Chapter 2: Strategic Need
Lecture 1: Section goals
Lecture 2: The case for change
Lecture 3: Business acumen
Lecture 4: Data strategy scope
Lecture 5: Data landscape analysis
Lecture 6: The sponsor and audience
Lecture 7: Section summary
Chapter 3: Overview of the data strategy
Lecture 1: The section goals
Lecture 2: What is a strategy
Lecture 3: Data strategy overview
Lecture 4: Data maturity assessment
Lecture 5: Strategy as a plan
Lecture 6: Section summary
Chapter 4: The business strategy
Lecture 1: Section goals
Lecture 2: Business strategy definition
Lecture 3: Finding the business strategy
Lecture 4: Driving the data strategy
Lecture 5: Capturing the business strategy
Lecture 6: Business capability modelling
Lecture 7: Section summary
Chapter 5: Analytics and Assets
Lecture 1: Section goals
Lecture 2: Data assets
Lecture 3: Data analytics
Lecture 4: Data science
Lecture 5: Section summary
Chapter 6: Data services
Lecture 1: Section goals
Lecture 2: Data platforms
Lecture 3: Data engineering
Lecture 4: Data operations
Lecture 5: Section summary
Chapter 7: Data governance
Lecture 1: Section goals
Lecture 2: Data ownership
Lecture 3: Data control
Lecture 4: Data curation
Lecture 5: Section summary
Chapter 8: Data people
Lecture 1: Section goals
Lecture 2: Data organisation
Lecture 3: Data culture
Lecture 4: Data skills
Lecture 5: Section summary
Chapter 9: Data strategy and plan
Lecture 1: Section goals
Lecture 2: Objectives to plan
Lecture 3: Stakeholders and audience of the strategy
Lecture 4: Presentation structure
Lecture 5: Section summary
Chapter 10: Congratulations
Lecture 1: Congratulations
Lecture 2: Course recap
Lecture 3: What next
Lecture 4: Thank you
Instructors
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Dr Jon Durrant
IT Strategist, Architect and Developer
Rating Distribution
- 1 stars: 2 votes
- 2 stars: 0 votes
- 3 stars: 8 votes
- 4 stars: 16 votes
- 5 stars: 12 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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