Understanding how to best use and monetise the vast amount of data captured through mobility technologies will be critical to any mobility player’s strategy.
Each stage of disruption represents a step on the journey to growth where there is an opportunity for organisations to take a lead. Click through each of these sections below to understand more.
Understanding increasingly abundant data will give your organisation an edge in all aspects of your mobility strategy.
Data is often referred to as ‘the new oil,’ as it’s both a building block for a broad range of further uses, and of immense potential value. In the future mobility landscape, more data will be captured than ever before, thanks to connectivity, sensor technology, autonomous vehicle requirements and the willingness of consumers to share data in exchange for an appropriate return.
The challenge of making best use and monetising this data will drive two trends:
- The continued use of data to better understand the customer, and drive value through better targeting of products and services to individuals and organisations.
- The rise of data aggregation and processing platforms that share pooled data from disparate sources and organisations for mutual benefit. For example, this could help ensure that data about electric vehicle charger usage is shared with the chargepoint operator, the power utility, the consumer, the carmaker and the city planner.
Key questions you may have:
- What do I do with all the data I am collecting?
- How can I leverage my data as a first mover?
- How do I ensure data ownership and consent?
- What data points do I need to make future decisions?
- How can I get the data that I need from other parties?
- How do I ensure I can both leverage data and remain compliant with data protection legislation?
Develop a clear data strategy. Follow clear use cases, identify valuable future data segments needed for your organisation to deliver your strategy, including where data excellence will be a key success factor and where gaps in your knowledge need to be filled. For example, up-to-date information on consumer travel and charging behaviours will be invaluable to electric vehicle chargepoint operators and forecourt owners in determining the best locations for new charging sites.
Be airtight in your compliance with local and international data regulations, while still collecting and processing what you need.
Build effective data capture, warehousing and analytics capabilities that are able to deal with the potentially large volume of real-time data that may arise from connected applications and technologies.
Identify opportunities where you can partner to share data where you may not have direct access to the sources that you need. Structure a mutual relationship while being mindful of data protection requirements.
Make targeted investments in emerging data platforms and start-ups to get insight into data segments that your organisation traditionally does not have access to. There are also opportunities to build mutually beneficial alliances.
Leverage the voice of the customer to collect direct feedback and passive behavioural data. Loyalty schemes and membership programmes could provide consumers with an incentive to share data in return for discounts and access to services.
Leverage new connected technologies where your market position gives you privileged access to collect the data. For example, telematics solutions or chargepoint usage data could be invaluable for multiple organisations.
- Partnership and alliances strategy
- Exploratory data analytics
- Customer strategy
- Pricing strategy
- Acquisition target search
- Chief Information Officer advisory
- Technology M&A advisory
- Technology due diligence
- Corporate venture capital
- IP advisory
- Data and analytics (KPMG Lighthouse)
- Technology implementation and integration
- Information and data protection
- Regulatory compliance and transformation
- MI systems design, implementation and audit
Platforms & partnerships
- Customer data platforms (Nunwood)
- Technology procurement and sourcing
- Data sharing alliances
- Data platform architecture and design
- Data managed services