Conventional wisdom subdivides the master data management problem into two smaller ones. There’s Operational MDM, which fosters collaboration across the value chain with consistent and accurate master data and...
Category - Data 2020 Summit 2018
Data Driven End-to-End Value – Staffan Vildelin
We are on a journey towards a data driven Scania, where we use the information as the asset it is. Both within Advanced Analytics and self service BI. In this journey it is crucial to be successful end-to-end, all...
Panel: How to align data strategy and analytics with key organisations priorities?
Panelists: Anssi Tikka, Kyosti Laiho and Fateh Naili
Clear Expectations About Data Quality – Christian Rasmussen and Signe Horn Thomsen
Crappy data is hindering swift delivery of analytics insight and we spend too much time cleaning up. Let’s start measure and manage. Key Takeaways: How data quality affect feasibility of a great opportunity A practical...
How to Succeed with Data Governance: A Battle Tested Story – David Dadoun
Organisations everywhere look to analytics to help them become/remain competitive in an ever more challenging business landscape. But what good is Business Intelligence when most can’t even trust the data they are using...
The new Customer Contract – Greg Hanson
Customers’ relationships with providers as we know it today is set to change. In the future we will no longer make purchase decision based purely upon price or peer recommendations but on which companies we trust with...
Will Your Data Lake Be a Result of a Lot of Data Strategies? – Håkan Gustafsson
Is Data & Analytics one area that you have a one strategy for? Or will your data lake be a result of a lot of data strategies? Key Takeaways: Data is key for AI, IoT, automation, robotics, machine learning, advanced...
Digital Platform Information Governance in Vattenfall Group Finance – Henrik Göthberg
Key Takeaways
Why Information Governance and an Information Asset centric view are critical in Finance Information Governance Philosophy: Going from conceptual enterprise value to embedded operational Value
Analytics Data Warehouse-Built for Business Users on Production From the Day One – Jay T Chinnaswamy
This session covers about four pillars of today’s traditional organization’s challenges to achieve reasonably faster business insights based on analytics. They are: Data platform Infrastructure Deployment process Mind...
Product MDM & Emerging Technologies-Driving Positive Business Outcomes through ML/AI – Jesper Grode
At this session, we will discuss business drivers and potential business outcomes of applying AI and ML in Product Master Data Management. We will discuss use cases within Process Optimization, Automation and Decision...