Building a data culture is supporting ‘data readiness’ and improve ‘data literacy’ is a long-term culture shift to support organizational development. Data can be a reflection on the leadership of our organizations and work. We aim to be ‘evidence-based’. This means considering the complexities of decision-making, organizational data readiness, and digital transformation. How can we support the localization agenda with our data workflows? Data readiness for local communities provides an opportunity for local leadership to be supported.
- How can we use data for decision-making?
- What are some ways to localize data workflows?
- How can leaders use data to negotiate and build advocacy?
A suggested step by step process to achieve learning objectives.
- Part of building a data culture means involving leaders in a directed conversation on the State of Data. [Session 7].
- How can we encourage the use of data for decision-making? Set your path by Negotiating with Leaders. [Session Plan 5]. You can also use Outcomes [Handout 10] to further develop planning.
- The path to data-driven organizations should also consider What is evidence [Slidedeck 26] and how we might become more evidence-based?
- How can we support more local-driven humanitarian response in terms of data use? Host a discussion on Localizing Data Workflows [Exercise 14].
- Build your own Localizing Data Workflow [Checklist 6] using our draft checklist.
Pick and choose ingredients to create your own recipe. Do you have an ingredient we’re missing? Send an email to firstname.lastname@example.org.
Short, discrete social learning experiences
- Localize your Data Workflow. [Exercise 14] How can you better incorporate local data into your planning? Every project is unique. Tailor this checklist to suit your project needs.
Longer social learning experiences
- Negotiating with Decision-Makers. [SessionPlan 5] How is data supporting decision-making in humanitarian response? This session includes a ‘pitch to leader’s component with the goal to build a common language.
- Localizing Data Workflows. [SessionPlan 6] How is data supporting decision-making in humanitarian response? This session invites data leaders to consider how they might better incorporate local data into their work.
- State of Data. [SessionPlan 7] How is data supporting decision-making in humanitarian response? This session invites key decision-makers and their colleagues to dig into the State of Data in their organization.
For documentation of essential elements of the learning experience.
- Checklist: Localizing Data Workflows. [Checklist 6] How we might localize aid by keeping local communities at the forefront of our work? This draft checklist aims to drive conversation on how we might use and improve data workflows at a local level.
- Counting People Checklist. [Checklist 5] Part of data for leadership is considering how we might be more inclusive and count people’s contributions. Consider this checklist when making decisions on program strategy.
- Data and Technology Checklist. [Checklist 1] When you are planning a program or project, these considerations will help guide some of your decisions.
Distilled information for use as standalone or parts of presentations.
- What is Evidence? [Slidedeck 26] How can data be used as evidence that drives policy and action?
- What is Data Literacy? [Slidedeck 6] Provides an overview of Data Literacy and the Data Literacy Program at IFRC.
To be distributed to participants for use post-training
- Outcomes: Negotiating with Leaders. [Handout 10] What are some tips and tactics to improve your data-driven conversations with leadership/decision-makers?
Other relevant modules from the data playbook beta:
- How do we build data-driven projects? [Module 3]
- How do we build data-friendly culture? [Module 2]
Further reading resources:
- Gabriel Pictet, Introduction to Quantitative Methods (Prezi (an interactive online slide sharing service)
- Panthea Lee, Reboot, #LongReads: Moving from Real-Time Data to Real-Time Programs.
- Jim Whitehurst, The Open Organization.
- Carl Anderson, Create a Data-Driven Organization. (Chapters 1, 2, and 6)