ONS Local presents: GLA's High Streets Data Service Tool

ONS Local presents: GLA's High Streets Data Service Tool
HIGH STREETS DATA SERVICE ONS Local Presents 23 March 2023
What is it? The High Streets Data Service (HSDS) is a collaborative data sharing partnership between GLA, London boroughs, and BIDs providing the insights on London’s 600+ High Streets and Town Centres. The GLA Good Growth & City Intelligence Unit enable: ― Direct access to raw data ― Custom-built data explorers and maps to provide quick access ― Analytical support for your priority areas ― A network of public organisations using data to evidence how High Streets are performing How does it work? A subscription model funds the collective purchase of data and subsequent quality assurance and analysis. 200+ users from 19 LBCs are members of the service for the 2023 service. 2023 borough subscribers Bromley • Camden • City of London • Ealing • Enfield • Greenwich • Hackney • Hammersmith and Fulham • Haringey • Havering • Islington • Lambeth • Lewisham • Merton • Newham • Redbridge • Richmond upon Thames • Southwark • Tower Hamlets • Wandsworth • Westminster HIGH STREETS DATA SERVICE Overview
HIGH STREETS DATA SERVICE Contents Background (pre-Covid) Discovery Alpha Beta Live Summary 2 1 3 4 5 6
HIGH STREETS DATA SERVICE 1 - Background (pre-Covid) - Adaptive Strategies - ‘Multifunctional public spaces’ - Network of Officers and experts - Defined 600 High St Boundaries - Report included ‘doing more with data’ - Town Centre Health Check - Planning-led - Retail Study - Focussed on retail jobs - In 2018, many High St had more jobs that 10 years before - 24 hour London
HIGH STREETS DATA SERVICE 2 – Discovery April 2020 - Survey of Borough Officers & BIDs - Data currently used - Data gaps - Key questions - Reviewing the market - Lot’s of providers, making competing claims - Some had very small samples (1-2%) - Many had created a ‘product’ – often dashboard with monthly subscription - Issues with granularity - Large variation in cost (including CSR offers) - GLA pilot projects & TfL projects
HIGH STREETS DATA SERVICE 2 – Discovery April ‘20 - Survey of Borough Officers & BIDs - Data currently used - Data gaps - Key questions - Reviewing the market – honest broker / impartial - Lot’s of providers, making competing claims - Some had very small samples (1-2%) - Many had created a ‘product’ – often dashboard with monthly subscription - Issues with granularity - Large variation in cost (including CSR offers) - GLA pilot projects & TfL projects
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Made use of existing resources where possible - Data team (up to 50% for some months) - Data scientist - Data visualisation developer - GIS analyst - Policy/Programme officers - ‘Fixing the Plumbing’ resources - Forum - Data Sharing Agreement portal - London DataStore - GLA budgets repurposed to recovery missions - Local specialist consultants
Key Audiences • High St. / Town Centre Managers • 24hr London • BIDs • Recovery Task Force • London-based businesses • Health planners DATA FLOWS HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21
commentary, blogs, etc data viz High St. level tools APIs Key Audiences • High St. / Town Centre Managers • 24hr London • BIDs • Recovery Task Force • London-based businesses • Health planners Headline figures Anonymised and Aggregated data by O2 CCTV feeds Card spend Pan-London timeseries Other sources Funded by 24hr London DATA FLOWS open shared paid for HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21
commentary, blogs, etc data viz High St. level tools APIs GLA and Turing internal systems Key Audiences • High St. / Town Centre Managers • 24hr London • BIDs • Recovery Task Force • London-based businesses • Health planners Headline figures Processing (nightly) Modelling Storage Footfall Social distancing Spend High St. analysis Anonymised and Aggregated data by O2 CCTV feeds Card spend Pan-London timeseries Other sources Funded by 24hr London DATA FLOWS open shared paid for HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis April ‘20 Aug ‘20 Oct ‘20 – May ‘21 Are people leaving their homes? Effects of Tiered lockdowns and steps out Are people staying at home?
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Home workers
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Home workers - Recovery at different times of the day
HIGH STREETS DATA SERVICE 3 – Alpha June ‘20 – June ‘21 - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Home workers - Recovery at different times of the day - High St Signatures (National High Streets Taskforce)
HIGH STREETS DATA SERVICE 3 – Alpha - Anonymised and Aggregated data by Mastercard - Weekday / weekend - Index of spend & number transactions - 2018 - present - by 150m grid - Analysis - Spend over time - By High Street - By bespoke area (e.g. Central London) June ‘20 – June ‘21
HIGH STREETS DATA SERVICE 3 – Alpha - Anonymised and Aggregated data by Mastercard - Weekday / weekend - Index of spend & number transactions - 2018 - present - by 150m grid - Analysis - Spend over time - By High Street - By bespoke area (e.g. Central London) June ‘20 – June ‘21
HIGH STREETS DATA SERVICE 4 – Beta - Pilot subscription model - Flat-rate / Borough (22 members) - 1 full-time data scientist - Part-time programme manager - Let’s Do London - Service - Summarised data - Explorer tools - Workshops - Data Surgeries - Lunchtime talks - 1:1s June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Dug deeper into the data - New patterns June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Dug deeper into the data - New patterns June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Dug deeper into the data - New patterns - Article 4 evidence June ‘21 – June ‘22
+15°C +20°C +25°C +30°C +35°C +40°C HIGH STREETS DATA SERVICE 4 – Beta - Anonymised and Aggregated data by O2 - Hourly counts - worker / visitor / resident - by MSOA - Analysis - Dug deeper into the data - New patterns - Article 4 evidence - Responding to new events - Plan B - Strikes - Lying in state - Heatwave June ‘21 – June ‘22 0 1 2 3 4 5 6 01 02 03 04 05 06 07 08 09 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 x 100000 Heatwave -related drop Strike -related drop
HIGH STREETS DATA SERVICE 4 – Beta - Anonymised and Aggregated data by Mastercard - Weekday / weekend - Index of spend & number transactions - 2018 - present - by 150m grid - Analysis - Dug deeper into the data - Identified ‘cold spots’ June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Data Explorer - How has High St ‘X’ changed over time? - How does it compare to others? - Web-based, longform, notebook-style tool - Can focus on time period - Bespoke areas - Generate screen shots or small tables June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Data Explorer - How has High St ‘X’ changed over time? - How does it compare to others? - Web-based, longform, notebook-style tool - Can focus on time period - Bespoke areas - Generate screen shots or small tables - Map Explorer - Brings together GIS layers from across the GLA June ‘21 – June ‘22
HIGH STREETS DATA SERVICE 4 – Beta - Year 1 Evaluation - Survey of HSDS users - Interviews with Borough officers - Feedback from these sessions - Direct Q & A sessions June ‘21 – June ‘22 1 1 2 4 6 7 6 7 8 9 4 3 4 2 4 3 4 3 8 7 4 5 3 3 2 2 0% 20% 40% 60% 80% 100% Reporting to senior executives Reviewing recovery from Covid-19 and lockdowns Monitoring for interventions or funding requirements Developing high street level plans and strategies Applying for grants/funding Engagement with communities Reporting to elected representatives Developing nighttime policy/strategy Not important Unsure Somewhat important Very important
HIGH STREETS DATA SERVICE 5 – Live Operating model - Governance - Co-sponsors combines policy expertise and data/digital leadership - Delivery - 0.6 Programme Manager - 1 FT Data Scientist - Subscription model - Boroughs - deepen engagement - New users: Business Improvement Districts - Ability to share with consultants Jan ‘23 GLA Co-sponsors Data scientist (FT) CIU Sr Manager (PT) Programme Manager (PT) City Intelligence Night-time economy Economic Development Regen Chief Digital Officer Borough subscribers LAMBETH LEWISHAM MERTON NEWHAM REDBRIDGE RICHMOND SOUTHWARK SUTTON WANDSWORTH WESTMINSTER BROMLEY CAMDEN CITY OF LONDON CROYDON EALING ENFIELD HACKNEY H&F HARINGEY HAVERING K&C KINGSTON BID subscribers Administrator (PT) Governance Delivery Data users Your Action BID Aldgate Partnersh ip Angel BID Argall BID Baker Street Quarter Beckenha m Together BID Beddingt on for Business Central District Alliance Better Bankside Bexleyhe ath BID Blue Bermond sey Brixton BID Brompto n Road BID Camden Town Unlimite d Cheapsid e Business Alliance Croydon BID EC Partnersh ip Euston (CTU) Fulham Broadwa y Fleet Street Quarter Garratt Business Park Hainault Business Park Hammers mith Harrow Town Centre BID (Ha1 BID) Hatton Garden BID Heart of London In Ilford BID In Streatha m BID In West Ealing (West Ealing) Visit Kensingt on BID Kingston First King's RoadKipp abid London Riverside Love Wimbled on Make it Ealing Marble Arch New Addingto n New West End Company (Business ) Orpingto n 1st PaddingN ow BID (Paddingt on Watersid e Partnersh ip) Penge SE20 Piccadilly and St James Purley BID Positively Putney Richmon d BID Romford BID Sidcup BID South Bank BID South Wimbled on Business Area (SWBA Ltd) Station to Station Stratford Original Successfu l Sutton Team London Bridge The Fitzrovia Partnersh ip The Junction BID The Northban k This is Clapham Try Twickenh am Love Uxbridge Vauxhall One Victoria BID Victoria Westmin ster Wandsw orth BID We Are Waterloo Whitehall BID Willow Lane Future Wood Green BID Your Bromley BID BE Richmon d GLA programmes NTEZ GG Fund eval Econo mics Town Centre Health Check London & co tourism Markets
HIGH STREETS DATA SERVICE 5 – Live Collective data procurement - User needs: Responsive to user needs that came up in alpha & beta - Re-Procured data - Increased granularity - Time periods for spend data - Smaller areas for footfall - Dwell time, repeat visits - Catchments - Business Premises data - Pushing the market - Experimenting with geographic granularity and temporal detail to maximise granularity without compromising quality - Delivery cadence with suppliers Jan ‘23 Mobility Spend Business premises Experian new! BT new! Mastercard Procured data
HIGH STREETS DATA SERVICE 5 – Live Analysis - Improve core service - Review outputs & tools - New analysis & outputs - Broaden use cases - Street Markets - Daytime population for crime data - Support 24hr Economy Plans - Cost of Living analysis - Special Event evaluation - Less emphasis on lockdown Jan ‘23
ARTICLE 4 DIR. EVIDENCE MEMBER REPORTS ESTIMATING HOME WORKING LICENCING MONITORING SPECIAL EVENT EVALUATION FOOTFALL PROFILING NIGHT TIME STRATEGIES INTERNAL DASHBOARDS ESTIMATING WORKER RETURN ACADMIC RESEARCH BIDS BENCHMARKING PREDICTIVE MODELING Current Future HIGH STREETS DATA SERVICE 5 – Live ROUTINE MONITORING POLICY ANALAYSIS DECISION SUPPORT
Collect Anony- mise Procure QA Curate Convene Analyse Act The coordination problem Existing data assets are hard to find and high streets practitioners lack a common analytical agenda HIGH STREETS DATA SERVICE 6 – Key Findings The cost problem High cost of privately collected data and administrative overheads prohibits its use The evidence problem High streets policy and investment are made from anecdotal, out-of-date, or imprecise evidence Data suppliers Data users (boroughs, BIDs) HSDS Programme The commercial data market was not serving local organisations Disaggregating the ‘data value chain’ focuses each party’s effort on what they are good at
HIGH STREETS DATA SERVICE 6 – Key Findings Strategic policy goals User needs (technical and non-technical) Following the completion of its pilot in June 2022, the High Street Data Service requires continuous improvement to its data assets and a continued high standard of service to partners to achieve lasting and scalable engagement. It also requires ongoing pivots to impactful and flagship analytical use cases to evidence value and drive the case for investment. Flexible and unique data assets Responsive research and analysis Scalable operating model
HIGH STREETS DATA SERVICE 6 – Key Findings Practical learning for setting up your own service: March ‘23 Raw data allows you to address a wider range of questions Detail & frequency Think carefully about what you need Comparator data Doesn’t have to be identical, for us it was TfL oyster & high-level economic analysis Impartial assessor If you don’t have this internally maybe partner with an organisation? Resourcing You don’t need a huge team, but will need data science capability User focus Engage your users often and draw your ‘super users’ in close
For more information, please contact Paul Hodgson | Senior Manager – City Data Craig Campbell | HSDS Programme Manager HighStreetsDataService@london.gov.uk HOW CAN I GET INVOLVED? 2023 borough subscribers Bromley • Camden • City of London • Ealing • Enfield • Greenwich • Hackney • Hammersmith and Fulham • Haringey • Havering • Islington • Lambeth • Lewisham • Merton • Newham • Redbridge • Richmond upon Thames • Southwark • Tower Hamlets • Wandsworth • Westminster

ONS Local presents: GLA's High Streets Data Service Tool

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ONS Local presents: GLA's High Streets Data Service Tool