Developing a data culture across the enterprise. Marc Mullan VP Data & Analytics 18 th October 2018

Transcription

1 Developing a data culture across the enterprise Marc Mullan VP Data & Analytics 18 th October 2018

2 Why Data Culture?

3 The data challenge is evolving

4 Be clear on your north star

5 Executive support is critical

6 Dublin Airport plans to spend 900 million by 2023 on an expansion that will allow it to handle up to 40 million passengers a year. Why is it important?

7 Strategy Understand your business landscape Passenger & Airline Customer Experience Planning Security & Operations Travel Services Innovation Digital Marketing Retail Customer Care Finance, HR & Shared Services Asset Care Big Infrastructure

8 Create an inventory to understand your data opportunity 4 Deliver Any Device User Access Interactive Dashboards Ad-hoc analysis Scheduled Reports KPI Calculations Analyse 3 Advanced / Predictive Models Deep Insights Quick Insights Organise 2 Data Warehouse Master Data Management (MDM) Single Process Self Service Views Integrated process Views Data Discovery / Sandbox Acquire 1 Source Systems Near Real-time Scheduled History Structured Data Unstructured Data Process ERP HR CRM Operations Finance & Procurement Human Resources Retail, Commercial & Marketing Airport operations Security, Asset Care

9 Hybrid organisational model often work best for broadscale analytics initiatives Decentralised Centralised Balanced Group IT data & analytics team Technical platform Data engineering Data science function Enterprise information management Training & supporting the user community Business unit teams Business analysts & power users Product owners Subject matter experts Dashboards & business KPIs

10 Leadership create the ambition the front line takes up the call

11 Understand your user community and their needs Analytics Complexity Data Scientists Information Producers Power Users Information Consumers Business Analysts Managers / Executives / End Users Size of User Base

12 Understand your user community and their needs Analytics Complexity Data Scientists Information Producers Power Users Information Consumers Business Analysts Managers / Executives / End Users Granularity / Volume & Scale of Data

13 Organizations need a variety of analytics talent with well-defined roles Business Skills Data Architects Analytics translators Technical Skills Data engineers Data Scientists Analytics Skills Visualisation analysts Workflow integrators

14 Identify & nurture talent

15 Analytics is a craft

16 Collaboration unlocks new understanding

17 Create space to innovate

18 Create an environment that encourages exploration

19 Make it reliable & available

20 Monitor critical capabilities 4 Deliver SQL Reporting Services 9, daily Analyse 3 Analysis Services Organise 2 Data Warehouse 3,000 7 TBs Acquire 1 Source Systems ETL / SQL Integration Services (PLSQL, T-SQL, SQL Loader, API, sftp, etc,) ,800 Process ERP HR CRM Operations Finance & Procurement Human Resources Retail, Commercial & Marketing Airport operations Security, Asset Care

21 Security is increasingly important

22 Artificial Intelligence (AI) - amplifies our skills

23 Be resilient the last mile is often the hardest!!!

24 Partnerships Enabling Scale

25 Partnerships Data Democratisation

26 Partnerships Airports & IOT Expertise

27 Partnerships Multi Channel Personalisation

28 Data Culture The Secret Sauce 1. Executive sponsorship & ongoing support 2. Understand your business challenges and where analytics can make a difference 3. Develop an organisational model with data expertise at all levels 4. People make the difference, put a structured programme in place to engage and support a diverse user community 5. Encourage exploration, curiosity & creativity 6. Create a governed, secure & trusted environment 7. Develop trusted partnerships to enable scale and to provide domain expertise 8. Be resilient - data culture is a journey

29 Thank You!!!