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Data Analysts Virtual Meet-Up

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15 September 2020

2 - 3 pm

London Office of �Technology & Innovation

LOTI_LDN

medium.com/loti

#LOTI

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Virtual Meeting Etiquette

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Please put your phones/devices on mute to avoid echo

Please leave your camera on

If you have any questions or comments while someone else is speaking, please share them in the Chat section

If you'd like to speak, please turn off mute (for those on the phone use *6 to mute/unmute) or indicate in the Chat section

If speaking via phone, please state your name before you make a comment

If you’re referring to a specific slide, mention the slide number (top right hand corner)

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Agenda

Welcome and introductions

14:00

Introduction: Barnet

14:05

LOTI Update: Camden & Central Beds. MHCLG Project

14:15

GLA Update / Data Collaboration ideas

14:30

Feedback: retro & shielding data management

14:40

Next Steps/Wrap Up

14:55

Close

15:00

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Welcome and introductions

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Attendees

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Mark Brennan, Edward Purchase

Camden Council

Anthony Lewis

Ealing Council

Yogita Popat and Matthew Boxall

Barnet Council

Thorsten Dreyer

Tower Hamlets Council

Anne McCrossan

Cornwall Council

Colin Forber

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Francisco Giordano Silva

Lambeth Council

Paul Hodgson, Libby Rogers

Greater London Authority (GLA)

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Introduction to Barnet

Yogita Popat, Head of Organisational Insight & Intelligence

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About us

  • Barnet is the most populated London Borough - 50% of our population comes from a BAME background, our population is aging with over 15% over 65 years (and predicted to grow bigger), huge amount of regeneration (Brent Cross).

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  • The I&I Hub was established in August 2020 to support the delivery of our borough’s ambitions through better use of data, insight and innovation; and to promote a collaborative insight-driven culture across the organisation

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Our objectives

  • Providing practical and actionable insights
  • Promoting an insight-driven approach to the way we work
  • Be a partner in solution development
  • Working with colleagues to shape our community and place based approach

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How we work

  • Outcomes focussed - clear framework and measurable outcomes; projects centred on user and resident needs
  • Open & collaborative - emphasis on collaboration, joint-delivery and a culture of openness
  • Developing our people - investing in the development of our talent pipeline, providing opportunities to join projects and learn together
  • Practical - balancing strategic and operational needs to deliver practical insights to our groups; learning by doing
  • Sustainable - looking at the longer-term view; aligning with our digital roadmap and wider strategic initiatives

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Our focus for the first 6-months

  • Implementing and embedding - governance, resources and infrastructure
  • Supporting delivery of COVID Recovery
  • Systems and Tools
  • Developing our Data Academy

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Update: Camden & Central Beds MHCLG C-19 Project

FutureGov

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Update

So Far

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  • What do we already know?

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  • Who do we need to speak to?

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  • What tools and practices already exist?

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Next

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  • Understanding challenges and opportunities

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  • Defining specific problems to focus on

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Attendees

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Brief

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In preparation for a possible second Covid19 wave or lockdown, how can we overcome the data sharing challenges that stop organisations being able to provide residents the right support when they need it.

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We will consider culture, process, governance and technology.

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Attendees

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We think that… the rules for what data can and can’t be shared do exist, but front-line staff don’t have the confidence / understanding / psychological safety to interpret and make decisions about sharing data day-to-day (and so default to not sharing).

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we believe that… giving them tools to interpret the rules in practice

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will mean.. they feel more confident and are empowered to share data safely and effectively.

We think that...we only need to share non-personal data in the first instance, because an organisation can decide if they are able to support a resident without knowing personally identifiable information.

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we believe that… identifying the ‘minimum viable data’ that can be used to target and deliver support to residents

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will mean.. governance issues are significantly reduced, and more residents can be supported with less data shared.

We think that… data is collected and stored inconsistently, making it time-consuming to aggregate and share.

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we believe that… creating a model / framework / template that can guide how front-line staff collect and store data, used by both LAs and VCS

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will mean.. data is stored in a consistent format, making it easier to aggregate and share.

We think that… lots of residents are able to share their own data - they have more skills and agency than they’re often given credit for.

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we believe that… signposting more effectively, so that residents can find the appropriate service and share their own data

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will mean.. LAs don’t have to share residents’ data, and governance issues are reduced.

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Emerging Hypotheses

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Attendees

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We think that.. Residents are not always clear on who their data is being shared to, or why (both because of confusing consent processes, and difficulty distinguishing between services).�

we believe that… clearer consent processes that enable residents to easily opt-in or out to sharing

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will mean.. Residents have higher level of trust that their data is being used appropriately, and VCS / LAs feel more comfortable sharing data with a reduced risk of losing resident trust

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We think that… we don’t have a secure tech platform set up that works for both LA / VCS, and takes into account low digital resource�

we believe that… facilitating collaboration between IT depts and relevant stakeholders

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will mean.. a secure tech platform is set up that can be used by LA, VCS and external parties

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Emerging Hypothesis

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We’d love your thoughts

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  • What research and reports might we have missed?

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  • Do you feel data exchange is inhibited by a lack of technology?

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  • What objectives and outcomes are only possible if data is shared?

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  • What workarounds did you come up with in wave 1, did they work?

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  • As Data Analysts, what is your biggest fear for a further lockdown or second wave?

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GLA Update

Paul Hodgson (GLA)

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Title

LOTI-led projects

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  1. EV-Charging
    • Sharpen up contracts
    • Single (open) database of locations
    • Access usage data
      • Borough staff
      • Energy companies
      • Flexible energy grids

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  • HMOs - parked during CV-19 focussed work, but starting up again

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  • LOTI Data Science Network
    • For data scientists, apprentices and analysts who are learning to code
    • 22nd Sept. first mtg.
    • Sharing code and techniques

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Feedback: Retro session

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Attendees

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Sean Pedrick-Case (Lambeth)

Priority: shielded

Next: ward profiler, and thematic indicators

Adam Moore

(Kingston & Sutton)

Priority: data visualisation

Next: reopening services (care homes) & developing local guidance

Mark Brennan

(Camden)

Priority: residents’ needs analysis dashboard

Next: restarting data science projects

Lisa Stidle

(Hackney)

Priority: Test & trace data - managing local outbreaks. Monitoring the economic and social impact.

Next: Device distribution

Douglas Plumer

(Brent)

Priority: useful insight from Covid data to improve services (poverty)

Next: data lake

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Anthony Lewis

(Ealing)

Priority: shielded

Next: outbreak monitoring and management

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Borough Priorities

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What are the outcomes you wish to achieve?

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What are the outcomes you wish to achieve?

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What problems stop/slow you down from achieving those outcomes?

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What solutions do you know of/are currently testing?

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Feedback: Shielded Data Management

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Life after receipt of Shielded data

Topics to discuss:

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  • Test and Trace Data - do you have access?

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  • What could help you get access?

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  • If you have it what are you using it for?

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  • Schools Reopening- is there any data work happening to help understand potential outbreaks occurring due to schools reopening

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Next Steps &

Wrap Up

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Future Dates

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29 September 2020

13 October 2020

27 October 2020

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Next Data Analysts Virtual Meet-Up

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Register online: https://www.eventbrite.co.uk/x/loti-data-analysts-virtual-meet-up-tickets-103207743138

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29 September 2020

2 - 3 pm

London Office of �Technology & Innovation

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