What you'll learn
- Data Strategy maturity models
- Essential components of a data strategy
- Standardised Data Strategy template
- Approach, methodology and the process we need to follow in writing a data strategy
- Structure of questions that needed to be asked in discovery sessions
Requirements
- Chief Data Officers and Data Directors looking to write their first data strategy
- Experience of working in the data industry
- Middle Managers looking to step up in their career
Description
Learn how to write a Data Strategy
In today's data-driven world, organizations that can harness the power of data strategy gain a competitive edge. Whether you're a business leader, CDO, or aspiring data professional, this Udemy course is your gateway to mastering the art of writing a data strategy.
What You'll Learn:
Data Refinement and Quality: Start with the basics. Learn how to refine your data, ensuring it's clean, accurate, and reliable.
Data Architecture: Build a solid data foundation. Explore data models, storage solutions, and scalability.
Data Governance: Establish rules, policies, and accountability for managing data effectively and ethically.
People, Skills, and Capabilities: Empower your team with the right skills and structure to make data work for your organization.
Actionable Insights: Transform raw data into valuable insights that drive informed decision-making.
BI/Analytics Infrastructure: Set up the tools and processes needed to support data-driven initiatives.
Why This Course?
Comprehensive Learning: Our step-by-step approach guides you from the fundamentals to advanced concepts, ensuring a deep understanding of data strategy.
Expert Guidance: Learn from experienced data professionals who have implemented successful data strategies in diverse industries.
Who Is This Course For?
Business Leaders and Executives
Chief Data Officers
Data Strategists
Data Analysts and Scientists
Aspiring Data Professionals
Anyone Interested in Data Strategy
Transform Data into Actionable Strategies. Enroll Today!
Don't miss the opportunity to gain the skills and knowledge needed to harness the full potential of your data assets. Join us on this data strategy journey, and let's shape a data-driven future together.
Who this course is for:
- For CDOs / CIOs who are looking to write and deploy data strategies
- For consultants who are required to write a data strategy for their clients
- For Senior leaders who want to hire people to write a data strategy giving them an example of the deliverables expected from consultants
- For Data leaders who want to learn how to write a Data Strategy
Instructor
- 4.6 Instructor Rating
- 21 Reviews
- 63 Students
- 1 Course
Sameer Rahman is a well-respected and sought-after leader specialising in business transformation, monetisation and disruption using different applications of data and advanced technologies like machine learning and AI. Sameer has been in the data industry for 20+ years and has been widely recognised as Global and UK's Top 100 data leaders and influencers.
Sameer currently runs his own data consultancy Data Monet whose purpose is to ‘Get data in the Boardroom; and to provide Chief Data Officer and Non-Executive Director (with specialism in data) services to companies in need for business change, scale, and transformation. Sameer is currently a serving Non-Executive Director in the Healthcare, Financial Services, Sports, and Housing Sector. He holds an impressive portfolio of clients where he has provided data transformation and monetisation services. Some of them include The Royal Mint, Gocompare, Confused, Hodge, Legal & General, Jaguar Land Rover, Shell, Wren Kitchens. He has also served as a senior advisor to various start-ups and have led them to Seed and Series A and Series B funding.
Recognition • Corinium Global Top 100 Innovators in Data and Analytics, 2022 • Data IQ Most Influential People in Data, 2021 • Data IQ Most Influential People in Data, 2020
• Published and Referenced in Oxford University Journal
• International recognition for authoring three books on Predictive Modelling