1. Mute your microphone

2. Turn your webcam on

3. Introduce yourself in the chat

First, a few practical tips:

1

Heads of Data & BI Network Meet-up

London Office of Technology & Innovation

Heads of Data & BI Network Meet-up

​

23 June 2021

9:30-11:00 am

London Office of �Technology & Innovation

LOTI_LDN

www.loti.london

#LOTI

2

Agenda

3

Welcome and introductions

4

Attendees

5

Data Literacy

Onyeka Onyekwelu, LOTI

6

7

Capabilities & Skills

Why are we doing what we’re doing?

Digital, data, and innovation methods are among the most powerful set of tools and approaches available to organisations. London’s boroughs are at different stages of their digital development journey. By working and learning together we can help identify what great practice looks like and work to develop those capabilities and the capacity behind them.

​

Given the vital importance of data in how boroughs work, in Year 3 we have chosen to focus on supporting boroughs’ data skills development.

​

Website:

• Digital Data and Innovation Reference Model
• Improving Data Literacy

​

Basecamp:

• Data Managers Network
• Data Scientists Network

Objective: To develop boroughs’ digital, data and innovation capabilities and increase the size and diversity of the talent pool from which they can draw.

​

What we’ve done

• Supported the hiring, networking and career development of 100 Digital Apprentices.

​

What we’re now doing

• Developing a Digital, Data and Innovation (DDI) Capability Model to help boroughs understand and articulate what ‘good’ looks like.
• Hosting regular forums for a) Data Leaders, b) Data Managers and c) Data Scientists.

​

Plans for Year 3

• Creating a standard jobs library to go with the DDI model.
• Adding salary benchmarking to the jobs library.
• Exploring how capability gaps can be filled across the LOTI network.
• Developing and running data skills programmes for data teams and other council officers, in collaboration with ONS.

Skills & Capabilities

Digital Data & Innovation Capability Model

Standard Jobs Library

Salary Benchmarking

Discovery on key roles & skills boroughs struggle to access or recruit for

Data Literacy Programme: Data 101 and ONS Data Science Programme

Data Networks:

Data Leaders, Managers and Scientists

8

Skills & Capabilities

Digital Data & Innovation Capability Model

Standard Jobs Library

Salary Benchmarking

Discovery on key roles & skills boroughs struggle to access or recruit for

Data Literacy Programme: Data 101 and ONS Data Science Programme

Data Networks:

Data Leaders, Managers and Scientists

9

Skills & Capabilities

Digital Data & Innovation Capability Model

Standard Jobs Library

Salary Benchmarking

Discovery on key roles & skills boroughs struggle to access or recruit for

Data Literacy Programme: Data 101 and ONS Data Science Programme

Data Networks:

Data Leaders, Managers and Scientists

10

Lessons Learned: Building capability for Legacy IT

Helen Wall, GDS Academy

11

Building capability for Legacy IT

Addressing the blockers and barriers.

​

National Team

national@digital.cabinet-office.gov.uk�Government Digital Service�

Who is responsible for legacy IT?

Who are our users

​

Non DDaT - awareness

DDaT - working, practitioner and expert

Non DDaT - leadership

DDaT - leadership

GDS

What is already available?

​

Content audit

Published policies

Published guidelines

Assured existing courses

​

Gap analysis

GDS

​

​

Over 40 policy, guidance and standards documents.

​

Over 300 pages of intensive reading.

​

GDS

Why isn’t it working?

User Research

- 150 x public sector participants.

​

Do you know what Legacy IT is, how to spot it and what to do about it?

Do you know whether its a risk?

Do you think you have a role in addressing it?

What is working?

What isn’t working?

What do you want and need?

How do you want to consume it?

How can we measure it has worked?

GDS

“this is helpful to me, to know what I should be doing, where I’m at and what I should be aiming for. Is this available now?”

​

• DDaT are experiencing Policy Fatigue

​

​

GDS

Non DDaT leadership think its a digital IT problem to solve - but they are the blocker

​

Nobody wants another course. There are hundred of courses.

​

You will never get leadership to take accountability by asking them to come to a course they don’t think it relevant to them

GDS

• Recruitment of civil servants

Departments need help from experts to recruit other experts. We believe this is within a Skills Governance Board but have identified a risk of duplication of effort and therefore cost and confusion across the professions

​

• Need and upskilling of contractors and suppliers

​

• Pay Risk...

Former civil servants/public sector make great consultants.

​

• Measurements

Need to align with all the LIT Programme strands - each complimenting the others to reduce the burden on departments and

​

• LIT Programme expand to include wider influencers

Cyber Security, cloud, data

GDS

The products

Infographic on how to approach legacy IT

GDS

GDS

GDS

Thanks!

​

​

​

Discussion: Data Literacy in London public sector

29

Data Projects Methodology

Jay Saggar, LOTI

30

Data Collaboration Projects

Information Governance

Standard processes and tools

Corporate Datasets

Via London Data Commission / Oliver Wyman

Data Sharing Platform

London DataStore

Data Visualisation and mapping

GLA City Intelligence Unit

Methodology

LOTI’s Outcomes-based data methodology

Data Project Backlog

Data ethics principles and processes

Data Literacy Programme

Evaluation and feedback loop

Partner liaison (e.g. NHS)

Flow chart of when and how to share data

Supporting infrastructure we have put in place

New supporting infrastructure still needed

Peer Networks

Data Leaders, Managers and Scientists Networks

Feedback loop (learning by doing)

Preparation

Execution

Data analytics / science capacity

Data Collaboration: overview of LOTI’s approach

31

Start here

LOTI Outcomes-based Data Methodology

Start here

It’s very common when trying to tackle a problem to hear someone say: “Let’s get all the data together and see what it tells us.”

It may be tempting, but there are significant downsides to that approach.

​

First, organisations can waste months or even years chasing down datasets that add no extra value to their decision making and enable no new action. Without any specific outcome in mind, every dataset is potentially in scope.

​

Second, and more seriously, when it comes to sharing data, unless every dataset that we might wish to use happens to be open data (or data that is sufficiently non-personal that it could be open data), we cannot complete the information governance process without being able to state upfront the exact uses to which the data will be put.

For that reason, this methodology focuses on how data leads to action. It starts with real-world outcomes in mind, asking: “Who could do what differently if they had better information?”

​

This kind of action-orientated approach can enable better conversations between senior officers, service managers and their data teams. It also helps pin down exactly which datasets are actually needed and why.

​

View the resource summary at: https://loti.london/resources/data-methodology

​

​

About the methodology

Discussion: Pan-London Data Projects

34

Next Steps

35

Next Heads of Data & BI Network Meet-up

​

30 July 2021

London Office of �Technology & Innovation

36

LOTI_LDN

www.loti.london

#LOTI