How to Create More Effective Storytelling by Leveraging Data
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The document outlines a seven-step process for effective data-driven storytelling, emphasizing hypothesis building, customer segmentation, relevant measurements, and data management. It highlights the importance of asking the right questions and considering data security and team dynamics for successful outcomes. Additionally, it advocates for keeping the storytelling process visual, interactive, and accessible.
How to Create More Effective Storytelling by Leveraging Data
- 1. How to Create More Effective Storytelling by Leveraging Data 29 September 2015 Proprietary and Confidential
- 2. About Us © 2015 Blueocean Market Intelligence1 Global analytics and insights leader with 1,000 analysts providing decision support for sales, marketing and product planning We Are Enable businesses to make sound, data-driven decisions through a multi-disciplinary approach and 360 view of customers, competitors and markets Vision Exciting, Innovative, Creative, Data-Driven Culture Deloitte list of Fastest Growing Companies (5 years) Fortune Magazine/IAOP Top 100 Outsourcing Companies in the World (5 years) Recognition
- 3. Our secret sauce for Story telling with data 7 step process – • Hypothesis building / What are you trying to answer or solve for? • For whom are you trying to solve for? • What measurements are required to solve for? • How are they calculated? • What data sources are relevant and reliable? • What process is required to manage the data? • How would the data be retrieved? © 2015 Blueocean Market Intelligence2 Asking yourself the right questions is part of the process that will lead you to the intended results.
- 4. What is the hypothesis? What business results are we trying to solve for? © 2015 Blueocean Market Intelligence3 Customer which type of customer (B2B and B2C, etc.), which segments, which regions? Cross sell and upsell which products or category are the focus? Channel which channel did the customer originate from?
- 5. For whom are you trying to solve for? © 2015 Blueocean Market Intelligence4
- 6. What measurements are required to answer or solve? © 2015 Blueocean Market Intelligence5
- 7. How are they calculated? © 2015 Blueocean Market Intelligence6 INPUT OUTPUT OUTPUT Process
- 8. What data sources are relevant and reliable to measure? © 2015 Blueocean Market Intelligence7
- 9. What process should be adopted in order to manage the data? © 2015 Blueocean Market Intelligence8
- 10. How do we actually retrieve the data? © 2015 Blueocean Market Intelligence9 IT or data security concerns Lack of skillsets against extraction Time limitations Lack of capabilities in the source system to extract information
- 11. © 2015 Blueocean Market Intelligence10 Key things to consider
- 12. Don’t over complicate the journey © 2015 Blueocean Market Intelligence11
- 13. The right team © 2015 Blueocean Market Intelligence12
- 14. Keep it visual and interactive © 2015 Blueocean Market Intelligence13
- 15. Enable data democracy © 2015 Blueocean Market Intelligence14
- 16. Quick recap © 2015 Blueocean Market Intelligence15
- 17. © 2015 Blueocean Market Intelligence16 Thank You For more information: Anees Merchant, Senior Vice President Email: anees.m@blueoceanmi.com Twitter: @aneesmerchant LinkedIn: www.linkedin.com/aneesmerchant