DIGITAL TRANSFORMATION & DATA STRATEGY
Digital transformation is a transition to a different way of organizing. Its foundation is a digital platform for integrated data and processes.
We live in a digital world. The Internet, smartphones and social-media have become an integral part of our society, and AI, Blockchain and IoT are being applied in businesses daily. But how do you as a company deal with this. Do you see new opportunities? Or are you unable to match the opportunities that are out there and don’t know how to proceed?
People, processes and technology together form the foundation of sustainable transformations for businesses. As a central element of your digital transformation, therefore, overarching all three of these pillars is also important for your data strategy. Have you already started your roadmap? If so, data will be a big part of this roadmap. We like to get involved, because data management is our expertise! Starting from your strategic objectives, focused on processes, market approach or product portfolio, we design a suitable organization, architecture and infrastructure for data management and data governance together with you. In doing so, we focus on the following elements, among others:
- A strong vision of data use within your organization.
- A strong business case.
- Guiding principles, values and management perspectives.
- Well thought out objectives for all key data assets and sources.
- Recording of appropriate indicators to monitor project progress and success.
- Short- and long-term program objectives.
- Applied organizational roles and responsibilities.
A clear data strategy forms the basis for:
- Scalability.
A good data strategy means you will encounter fewer data-related roadblocks as you scale. Introducing new technology rarely fixes a lack of an underlying organizational facility.
- Preventing data silos.
Outdated system landscapes produce data silos that get in the way of your organization's development. This is a major challenge for many organizations and almost impossible to manage without a clear strategy.
- Culture.
In order for an organization to be customer-centric, for example, a data-driven culture is necessary. Developing this culture does not happen by itself; it needs a plan.
- Personalization and targeting.
If you know your customers, you can serve them better.
- Multichannel support.
Consumers expect a seamless user experience. Data underpins the ability to serve customers through any channel they choose.
A considered data strategy enables organizations to deliver relevant content to users and processes where and when they need it, and enables better-informed business decisions.
Want to learn more about our approach on Digital Transformation & Data Strategy? We’d love to get in contact with you!