Create your data strategy roadmap and harness your organisations data as a strategic asset for driving business value
Is your organisation or department experiencing the effects of a poor Data Strategy?
- A lack of trust in the accuracy of data
- Disparate, disconnected data and reporting silos
- Not tracking and measuring the right metrics and achieving the right business outcomes
- Lost opportunities to create business value/growth
Join us to learn the key ingredients to developing a successful Data Strategy which is both business-driven
and actionable.
Based on 4 key steps, delegates will gain practical insights on:
- Creating a vision for your organisation or department that describes data as a true asset to the business
- Assessing your existing Data Management capabilities
- Mapping out what business questions you need answered to measure and track your business outcomes
- Creating a Data roadmap that delivers on your business objectives
To reinforce the hands-on learning experience, delegates will create a draft Data Strategy based on their
business.
Who should attend:
Anyone with responsibility for driving effective data strategies in an organisation
- Chief Data officers
- CMO and Heads of Marketing
- Heads of analytics, campaigns, insight, customers etc.
- Senior business directors
- Heads of Data
- Heads of BI
SAVE £195 BY BOOKING BEFORE 11 JANUARY!
Outline
0900: Introductions & Ice-Breaker
0920: Mythbusting.
0930: Module 1 – Why you need a data strategy?
- Understanding the role of data in your organisation
- Current trends to future possibilities
- The need for a strategic data approach
- Current challenges organisations are experiencing
- Group exercise:What are your biggest challenges when creating a data strategy?
1030: Mid-morning coffee / tea break – 20 minutes
1050: Module 2 – Data Strategy Framework
- What is a Data Strategy?
- What are the characteristics of a good data strategy? (Group discussion)
- Data Strategy Framework – what are the building blocks of a data strategy?
- Why it’s necessary to align your business strategy to your data strategy
- Business requirements gathering – engaging your stakeholders
- Individual exercise: Creating your Decision Map
- Difference between Key Performance Questions (KPQs) & Key Analytic Questions (KAQs)
- Individual exercise: What are your organisations / departments key KPQs & KAQs?
1200: Lunch Break – 1 hour
Module 2 Data Strategy Framework cont.
- Reviewing your business questions
- Mapping how you would like to view the KPQs & KAQs
- Mapping the requirements vs. system and data
- Who will need to see the results
1300: Module 3 – Why you need to understand data quality and data systems
- Data Governance – really, it’s not boring it’s necessary!
- What is it and why do you need it?
- Group exercise: Defining your points of risk
- Reviewing DG roles and responsibilities
- Assessing Data Governance in your organisation
- Maturity assessment light – get insight into your organizations data and governance maturity
- Avoiding the common pitfalls
1410: Afternoon coffee / tea break – 20 minutes
1430: Module 4 – Roadmap & Prioritisation
1. Prioritising your requirements
- Data discovery – Stakeholder expectations vs. reality
- The 3 priority buckets
2. The data technology stack
- A framework for creating an effective DataTech stack
- Avoiding the complexity conundrum
- Managing technology innovation
Individual exercise: Creating a data roadmap
- Creating themes
- Laying the foundations
- Build and sustain
- Innovate to disrupt
16.00: Show and tell with group feedback
1615: Wrap-up, review and personal commitments
1630: Close
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Your trainer for the day is Samir Sharma 
Samir is a Data Strategist and Founder of datazuum, a data consultancy practice specialising in Data Strategy, Data Management and Data Science. His clients range from medium sized businesses through to large multi-nationals.
He has 20 years of international experience in the UK, Europe, US and the Caribbean, working across many verticals such as retail, media, technology, logistics, postal, insurance, banking, telecoms and the public sector. Since 2002, he has been helping organisations establish data strategies, transforming their data initiatives creating new revenue streams, streamlining operations and enriching the customer experience. Always focusing on turning data into a strategic business asset.
He acts as the bridge between the senior executive teams and their technology counterparts, to break down silos that exist, to successfully build integrated data informed organisations.
As a regular speaker and panellist at international conferences, he cuts through the complexities of data for audiences, conveying ideas in simple terms and providing clarity.
