Developing a data culture across the enterprise Marc Mullan VP Data & Analytics 18 th October 2018
Why Data Culture?
The data challenge is evolving
Be clear on your north star
Executive support is critical
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?
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
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
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
Leadership create the ambition the front line takes up the call
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
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
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
Identify & nurture talent
Analytics is a craft
Collaboration unlocks new understanding
Create space to innovate
Create an environment that encourages exploration
Make it reliable & available
Monitor critical capabilities 4 Deliver SQL Reporting Services 9,600 270 60-100 daily Analyse 3 Analysis Services 60 12 Organise 2 Data Warehouse 3,000 7 TBs Acquire 1 Source Systems ETL / SQL Integration Services (PLSQL, T-SQL, SQL Loader, API, sftp, etc,) 30 350 31 4,800 Process ERP HR CRM Operations Finance & Procurement Human Resources Retail, Commercial & Marketing Airport operations Security, Asset Care
Security is increasingly important
Artificial Intelligence (AI) - amplifies our skills
Be resilient the last mile is often the hardest!!!
Partnerships Enabling Scale
Partnerships Data Democratisation
Partnerships Airports & IOT Expertise
Partnerships Multi Channel Personalisation
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
Thank You!!!