is best demonstrated by its absence Dubai and Van Oord are trusted partners Dubai in 2009 ▪ BUT, no proper sewage 🡪 Compensating for a lack of the basics
▪ Specialised in: – Dredging and marine construction – Offshore wind – Offshore energy infrastructure – Land infrastructure in the Netherlands ▪ Independent family-owned company ▪ Long-term view to provide marine solutions of value Company profile About us
a growing world population striving for prosperous, high-quality and safe living standards Increasingly required improvement in global flood and coastal defence to protect nature and communities against floods, extreme weather and maintain biodiversity. Driven by global climate & biodiversity agreements A growing and wealthier population demands more energy, requires investments in energy supply. Leading to a need for both offshore, and new energy infrastructure increasingly driven by public renewable energy targets Climate adaptation Energy transition (Leeg, niet verwijderen s.v.p.)
culture: “Marine Ingenuity” ▪ BUT, dispersed analytics initiatives which compensate for a lack of solid data foundation 🡪 Efficiency is key Context Building a Data Foundation | Why
What Spokes • DIY mentality to new solutions Insufficient standardization in tools and methods Familiarity over best practices • Poor data quality and accessibility Dispersed data cleansing and sharing • “Data scientists in disguise” Hub Data & Analytics team Spoke Business team Spoke Business team Spoke Business team Spoke Business team Spoke Business team
a Data Foundation | What Hub • Guidelines, standards and way-of-working • Facilitate self-service • Create data communities • Don’t centralize all analytics! • But, each spoke has different needs Spokes • Autonomy based on maturity • Use self-service tools to leverage domain expertise • Business driven Hub Enterprise Data & Analytics Spoke Business team Spoke Business team Spoke Business team Spoke Business team Spoke Business team Grey area of responsibilities between data, technology and business. Analytics translators focus on bridging this gap.
▪ Vision: What does a good data foundation look like? Building a Data Foundation | What “All data at Van Oord is stored, found, interpreted and used reliably by everybody that has the proper authorization” Requires data to be catalogued, described and owned Requires easy to use storage options Data value creation needs a standardized way of working Requires capabilities to guarantee data integrity, reliability, quality Requires ability to share with clients, regulators, staff, project and applications Requires security by design Requires a increase in data maturity in all data domains Platforms CONNECTING DATA Governance IMPLEMENT GOVERNANCE Products ACCELERATE INGENUITY
| How Data & Analytics Platforms Products Governance Reporting Team Data Science Team Analytics Engineering Team DATA ACADEMY Data Platform Team Data Governance Team
how and decentralize the what A solid data foundation means tailoring platforms, products, and governance to your organization Identify poop trains and fix the fundamentals (ask around for common grievances and don’t try to reinvent the wheel)
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