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Getting started on the Data Strategy

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Dr Jon Durrant

3:07:54

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  • 1. The course goals.mp4
    01:20
  • 2. Introducing your tutor.mp4
    01:58
  • 3. The course approach.mp4
    03:02
  • 4.1 1-Introduction.pdf
  • 4.2 Glossary.pdf
  • 4. Section summary.mp4
    00:16
  • 1. Section goals.mp4
    01:08
  • 2. The case for change.mp4
    03:39
  • 3. Business acumen.mp4
    03:09
  • 4. Data strategy scope.mp4
    01:57
  • 5. Data landscape analysis.mp4
    03:23
  • 6. The sponsor and audience.mp4
    04:26
  • 7. Summarising the need for the strategy.html
  • 8.1 2-Further Reading.pdf
  • 8.2 2-Strategic Need.pdf
  • 8. Section summary.mp4
    00:44
  • 1. The section goals.mp4
    00:16
  • 2. What is a strategy.mp4
    02:03
  • 3. Data strategy overview.mp4
    07:00
  • 4. Data maturity assessment.mp4
    02:13
  • 5. Strategy as a plan.mp4
    01:21
  • 6. Data Strategy Quiz.html
  • 7.1 3 Data Strategy.pdf
  • 7.2 3-Further Reading.pdf
  • 7. Section summary.mp4
    00:29
  • 1. Section goals.mp4
    00:56
  • 2. Business strategy definition.mp4
    05:24
  • 3. Finding the business strategy.mp4
    06:32
  • 4. Driving the data strategy.mp4
    04:32
  • 5. Capturing the business strategy.mp4
    04:15
  • 6. Business context.html
  • 7. Business capability modelling.mp4
    07:31
  • 8. Business capability model.html
  • 9.1 4-Business Strategy.pdf
  • 9.2 4-Further Reading.pdf
  • 9. Section summary.mp4
    00:44
  • 1. Section goals.mp4
    00:41
  • 2. Data assets.mp4
    08:58
  • 3. Data analytics.mp4
    07:05
  • 4. Data science.mp4
    02:25
  • 5. Assets and Analytics catalogue.html
  • 6.1 5 Analytics.pdf
  • 6.2 5-Further Reading.pdf
  • 6. Section summary.mp4
    00:44
  • 1. Section goals.mp4
    00:44
  • 2. Data platforms.mp4
    09:27
  • 3. Data engineering.mp4
    07:20
  • 4. Data operations.mp4
    03:56
  • 5. Data Services.html
  • 6.1 6-Data Services.pdf
  • 6.2 6-Further Reading.pdf
  • 6. Section summary.mp4
    01:38
  • 1. Section goals.mp4
    00:50
  • 2. Data ownership.mp4
    08:34
  • 3. Data control.mp4
    05:54
  • 4. Data curation.mp4
    07:58
  • 5. Data Governance Quiz.html
  • 6.1 7 Governance.pdf
  • 6.2 7-Further Reading.pdf
  • 6. Section summary.mp4
    00:43
  • 1. Section goals.mp4
    00:29
  • 2. Data organisation.mp4
    10:31
  • 3. Data culture.mp4
    05:56
  • 4. Data skills.mp4
    05:37
  • 5. Data organisation.html
  • 6.1 8 People.pdf
  • 6.2 8-Further Reading.pdf
  • 6. Section summary.mp4
    00:43
  • 1. Section goals.mp4
    00:48
  • 2. Objectives to plan.mp4
    05:59
  • 3. Stakeholders and audience of the strategy.mp4
    02:38
  • 4. Presentation structure.mp4
    08:06
  • 5. Strategic plan.html
  • 6.1 9 Data Strategy and Plan.pdf
  • 6.2 9-Further Reading.pdf
  • 6. Section summary.mp4
    00:35
  • 1. Congratulations.mp4
    01:09
  • 2. Course recap.mp4
    02:43
  • 3. What next.mp4
    06:51
  • 4.1 10 Congratulations.pdf
  • 4.2 10-Further Reading.pdf
  • 4. Thank you.mp4
    00:34
  • Description


    Data Strategy

    What You'll 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 is this for?


  • Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy
  • What You Need to Know?


  • Awareness of data and it's analytical capabilities
  • Analysis skills to understand a business purpose and direction
  • Microsoft PowerPoint skills as the assignment worksheets are in PowerPoint format.
  • More details


    Description

    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:

    • Data Analytics: Data Assets, Analytical Insights, and Data Science Insights

    • Data Services: Data Platforms, Engineering and Operations

    • Data Governance: Data Ownership, Data Controls, and Data Curation

    • 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. 

    Who this course is for:

    • Data analysts, architects, data engineers and data leaders looking to become familiar with data strategy

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    Dr Jon Durrant
    Dr Jon Durrant
    Instructor's Courses
    25+ years experience of IT and Data experience across academia and commercial sector. I have worked on embedded systems, global enterprise systems, data warehouses and data lake.In my day job I lead Data and IT departments' architecture functions. I work with the business to align IT and Data Strategy with the Business Strategy. I work to plan out roadmaps of change to address the business challenges and enable IT and Data initiatives to be treated as an investment for return.In my off hours, I work as a hobby developer working on embedded IoT technologies.  Some of my projects have included smart clocks, a clock that looks like a slot machine, pan and tilt security cameras, and hexapod robots. I primarily develop around the Raspberry PI and Raspberry PICO (RP2040) hardware devices with cloud services from AWS. I develop in a number of languages include C, C++. Java, Python, and Node.Dr Jon EA Ltd - UK Registered Company 14359330
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 53
    • duration 3:07:54
    • English subtitles has
    • Release Date 2024/02/03