Uploaded bySian Basker
Building a Data Savvy Social Sector v1
The document outlines the vision and activities of Data Orchard, a team dedicated to enhancing data skills in the social sector for improved decision-making and outcomes. It emphasizes the importance of data in non-profits, offering insights from a national survey and highlighting the benefits of becoming more data-savvy. Data Orchard provides resources, training, and support for organizations looking to improve their data capabilities.
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Building a Data Savvy Social Sector v1
- 1. Building a Data-Savvy SocialSector Sian Basker and Madeleine Spinks Directors at Data Orchard
- 2. About Data Orchard Ourvision is for a world enriched and empowered through data. We combine specialist skills in research, statistics and data with shared passions around making the world a better place socially, economically and environmentally.
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- 5. What do wedo? Gather, explore and analyse data for organisations Build organisations’ data skills and capabilities Promote the importance and value of data4good
- 6. About You Your name Yourrole Your organisation and what it does Why you came to this event
- 7. What do wemean by Data? All the types of information your organisation collects, stores, analyses, and uses. It can be in recorded in many formats: numbers, text, images, video, maps.
- 8. Why is datasuch a big deal in the non-profit sector these days? Big Data Advances in Analytics
- 10. Why is datasuch a big deal in the non-profit sector these days? Big Data Advances in Analytics Open Data/Protected Data New Drivers and Social Sector Applications Surviving/thriving in the modern digital age
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- 12. Source: Data EvolutionProject Summary Report, Basker, Jan 2017
- 14. How well ismy organisation doing with data compared to others?
- 15. Based on anational survey of 200 charities and social enterprises conducted in 2016 by Data Orchard and DataKind UK
- 16. Benefits of becomingmore data-savvy MID STAGE BENEFITS Improved services and products Increased income Increased knowledge and learning Improved planning and decision making ADVANCED STAGE BENEFITS Improved outcomes and impact Money saved through efficiencies Increased credibility and influence Strengthened partnerships
- 17. Where are youat with data? What challenges and benefits are you seeing?
- 18. What help isavailable to support us? Free: Data Maturity Framework – DIY List of data support providers In future: an online tool (we’re working on it) Subsidised (by Stanford University): Training workshops and national conference Looking for 8 special organisations to join a 12 month programme on ‘becoming data savvy’
- 19. What’s the programmeabout? 10 days support from our specialist team including: A before & after data maturity assessment An independent audit & evaluation of your data assets Mapping of the data skills & needs of your organisation 4 free places on our specialist training programme A road map for getting better with data
- 20. Training and ConferenceProgramme Data protection: changing times, changing laws Better Data, Bigger Impact Evidence-based fund-raising strategy Google Analytics Introduction to CRMs Leading in the digital age Data4Good conference
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Editor's Notes
- #2 1. Welcome Thank you - joining us today. Really excited : Over a year since 1st envisaged such an event. Grt 2B among our sector Delighted working home territory - rural West Midlands. 2. What talk about. programme. keep it friendly, informal, interactive/participative. Before we get going…. 3. House keeping Mobiles – off/silent Toilets Fire drill Temperature Light/Visuals – call me out Sound call me out 4. No need 4 notes Email slides/reference material Brochure to take away 5. Photography. capture images from event. Reporting to funders/ for our marketing/ For us Data about people/engaging people…ESP NON DATA PEOPLE- engaged on the subject of Data4Good feels a real achievement Special Day Hands up if OK about having your photo taken – Opt in consent! – pixelate out others.
- #3 Social Enterprise, CIC, set up in 2013 Going to be 5 years old this year Completed/Current projects = 85 almost entirely with non-profit and public sector organisations.
- #4 Original Founding team – 8 Directors Intro : Me – non-profit sector digital champion since early 90s. Data Champion since 2012 Mads – former research + intelligence lead at HC Chris – Community Alchemist leading our work with community volunteers on neighbourhood planning Caitlin (Kindlemix) – supporting our marketing and comms – non-profit sector expert Now team of ~ 18 inc associates bring different skills and talents to our projects Mads to talk more about some of those later.
- #5 Honesty: truthful and fair. trusted to provide integrity and objectivity. Quality: highly qualified, knowledgeable and experienced people. high standards of professionalism in our methodologies and approach. legal and ethical standards Collaboration: Teamwork, trust, co-operation, listening and communication key to way we work: with each other, with clients and with other partners. Respect: mutual respect and consideration for one another. believe everyone right to have a voice. work to ensure people’s diverse backgrounds, ideas and opinions heard (and included in the data!). Openness: open and transparent = culture of trust and shared learning. challenge ourselves/ open to being challenged by others. Inquisitive, receptive: new ideas/ways of doing things.
- #6 Today all about the middle one (and a bit of the bottom one) Hire us for the top if you have specific research/data analysis needs.
- #8 YES ALL OF IT! Might include: people you serve (i.e. beneficiaries, clients, service users, customers) which services they receive/or activities they engage how you engage financial information staff, volunteers, and contractors customer feedback/satisfaction outcomes/impact measures Context: population/environment (govt, health, academic) monitoring and evaluation performance indicators. And the list could go on…. Where is all this DATA? It’ll be everywhere in your organisation!
- #9 So so much data … growing exponentially 90% generated in last 2 years– so so much more data than ever before Big Data - explain the 3 Vs:…Volume, Velocity, Variety… 2. Huge Advances in Analytics last 7-8 yrs Entire New Field Data Science emerged new tools/techniques capabilities for analysis and visualisation extracting new patterns/info….not previously visible Micro-patterns – Macro patterns…
- #10 This slide – is for demo purposes only – it’s fake data. Advances in data Analytics means we can better see/understand/explore all kinds of questions: Relationships Comparison Growth/Decline Change Difference/Similarity Context Trends – getting better/worse Access to Big Picture/Fine Detail
- #11 3. Open – UK govt leading the world in opening up it’s datasets. Protected Data – UK also leading the way in enforcing new laws around rights, privacy, consent and protection of data - GDPR – 6 weeks time! (NOTE from Pauline Roche re emphasis on open data being anonymised data and Protected data being Personal Data 4. Sector Drivers: Being in charge of destiny better decisions. Competition for funding Demand to evidence Outcomes and Impact Accountability + Transparency Maximising limited resources New Apps: Identifying needs Evidencing Impact Map/gap/target services Resourcing/locating services and scheduling/managing staffing levels e.g. predicting helpline call patterns challenging based on evidence…! Fighting for rights – data revealing inequality and disparity in th Fighting corruption – mapping corporate control Saving the planet Helping endangered species survive Understanding and sharing perspectives on problems and solutions that work. 5. Surviving/Thriving Modern Age We live in a digital world today organisations need to adapt (and continuously improve) how they run and how they deliver their services. (Esp those in remote/rural areas?!)
- #13 2016 Data Orchard partnered with national charity DataKind UK to undertake some national research about data in social sector Wanted to know not just how sector doing, but what are the key factors for success and how do organisations get better? what does good/great looks like when it comes to data? What does the journey to reach ‘data maturity’ look like? Worked hundreds charities/social enterprises in England/Wales Identified 7 key themes.
- #14 2017 open published Research Data Maturity Framework – identified 7 key themes and 5 stage journey. Downloaded over 500 times Being used by: international red cross, NCVO, Parkinson’s UK Who’s advanced? It’s a spectrum Where are most of the sector? For each theme there are different stages of development: e.g. leadership spectrum Data Unaware: Not interested. Don’t invest in data analytics. Don’t use any data for decision making – use experience/gut feeling. No data or analytics expertise or understanding. Mastering: Value, plan and prioritise data as a vital organisational resource. Invest in continuously improving data collection and align analysis to business. Understand how to use data to improve what the organisation does. Drive the questions and influenced by what data tells them. Use past, present, future looking data for planning and decision making. Range of people with data analytics expertise in leadership including at board level.
- #15 Difficult to say Need look under the bonnet Let’s look at some key questions asked in national research
- #16 ? Does that resonate with you? Discussion about data – the joy and pain!
- #17 Basic level – you can operate an organisation, comply with the legal regulators, report to your funders. Tot up some numbers.. Mid – level – might be measuring outcomes – not using the data to improve them Advanced – really using their data/sharing/benchmarking using it to drive policy changes/engage in strategic arenas to address problems.
- #19 FREE STUFF Data Maturity Framework - DIY List of data support providers via Data Evolution Project website https://docs.google.com/spreadsheets/d/142oBCeh8s6_KX5tLj2T4S9pMfaI_Xk0XsTvSnMe05RU/pubhtml Building Online Tool - FREE SUBSIDISED STUFF Our new programme – funding from via the Bill & Melinda Gates foundation @ Stanford Uni, 3 elements: training/conf skills and awareness Looking for 8 special organisations to join a 12 month programme on becoming data savvy
- #21 Outline the courses and why Practical hands-on training workshops by leading national experts for the Not for Profit sector (see their profiles in the brochure), aimed at small-medium sized organisations. Includes: Tiered pricing range – from early bird booking for organisations with under £100K income (£69) to standard for organisation over £100K income (£115)
- #22 If you’re charity/social enterprise interested in the ‘Becoming Data Savvy’ programme – have a read, have a think, talk to people in your organisation – get in touch If you’re infrastructure organisation – Think about charities/social enterprises on your patch that might be interested. Tell other organisations about it These are our ideas about supporting the non-profit sector around data …Like to spend this last bit of the session talking more broadly about your ideas for How to build the data skills and capability of the non-profit sector Is there a need? Yes Is there an interest? Hmmm – How can we work together to reach/engage the sector?