The data leadership series part Two
Choosing anoperating model
- Approaching an operating model
- Understanding the core concepts
- Foundations for success
The data leadership series part Two
Each month, with the help of data and analytics experts in the panel, we will guide you and your teams through a relevant data leadership topic – with practical advice that you can follow.
An operating model for enterprise data management refers to the structures and processes needed to efficiently manage and use data. Without one you may struggle with data quality issues that don’t get resolved and decisions that never get made, due to miscommunication between teams and a lack of ownership. You will learn about how to select the right operating model, the key structures to include and the steps to take to successfully make it a reality.
Part 1 introduces the idea of a data operating model and the benefits it can bring, and considers how centralised, de-centralised and federated models suit organisations of different complexity and data maturity.
Part 2 describes the three main structures your operating model should include: the data structure defines how your data is organised, the organisational structure sets out roles and responsibilities, and the governance structure puts in place the processes.
Part 3 discusses the practicalities of implementing a data operating model: how (and when) to get started, who to involve, what tools to consider, how to measure success – and importantly how to maintain a positive story throughout.
Managing Partner, Ortecha
Principal Consultant, Ortecha
Head of Data & CRM, Mind
If your Data Strategy is the map, your Operating Model is the vehicle that will get you to your destination. Discover the guardrails, operating levels and accountabilities it should contain.
A Data Management Operating Model can be thought of as a series of models that address the different aspects that need to be defined. This is our view of the eight essential elements it should have.
