Data Strategy

Becoming “Data Driven”

We prefer to say “data informed” but the aim is the same; helping your organisation to use data in a way that increases the veracity of decision making and thus your chances of success.

Executive Data Literacy

  • Help your Exec team to see the opportunities not only for the business but for their own teams to make better use of data.

  • Build support for the organisational changes required to make a success of your data programmes.

Data Engagement

  • Help your people get more excited about their part in your data story and understand the shared responsibilities that come with that.

  • Help data teams to work more closely with, inspire and be inspired by their business colleagues.

Data Strategy

  • Link your business strategy to defined data-related outcomes that bring measurable benefits to customers, colleagues and the organisation. The Archernar strategy system can help you build a clear and deliverable programme.

Data Democratisation

  • Help business users and decision makers get access to the data, insights and support they need to make great decisions.

  • Share the benefits as well as the responsibility in a way that makes sense for your business today and in the near future.

Commercialising Data

Whether you want to commercialise data through great new software products, sell your data directly or simply use data to inform the decisions made in your business, thinking about the value of data in the same way you would your other IP or physical assets is a good place to start.

Data Asset Audit

  • Before investing in a Data Catalog solution and the supporting processes & people, capture and understand the core datasets across your business to help identify and prioritise urgent actions.

Data Value Prioritisation

  • Identify your top commercial opportunities to make better use of data; whether they be market facing, cost saving or risk related.

  • Work with your key colleagues to set a pragmatic path forward.

Market Scan

  • What are your competitors, partners or other peers working on right now that could offer inspiration, opportunities or risks to your data approach.

Data as a Product

  • Bring “Product Thinking” to your approach to data. Create internal or external data products that are developed and managed in sustainable ways.

  • Build and empower your data product team to deliver measurable value from your data.

Data sharing to drive economic growth

Data is a team sport. Working with others can multiply the benefits to companies, charities and governments. Entire societies can benefit if data sharing is handled in the right way.

Open Data

  • Government entities are often required to release open data by law. With limited resourced though, this can be challenging and, sometimes, the return on investment is poorly realised for the entity and citizens.

  • We can help you identify the most valuable data to release and understand your users better to help them realise the economic or social benefits of that data.

  • We can also help businesses to understand the value that open data can bring – both as a user and a publisher.

Data Sharing Programmes

  • Not all data can be open. Not all data can be sold. Some data can be shared in a controlled way that benefits both the publisher and user whilst maintaining privacy and security. This may be internal to one organisation, across a defined list of partners or with academic / public sector organisations. Creating the mechanisms for secure data sharing require strong data and product management. Archernar can help.

Data Literacy

  • The ability to read, work with, analyse and communicate with data is the key skill of the 21st century. Not everyone needs to be a data scientist though! We can help your people take practical steps to becoming ‘data enabled’ as well as helping your data people to boost their business literacy and ensure their great work isn’t misunderstood.

Supporting ethical & compliant data use

Regulations such as GDPR were a game changer in how data risks were understood. However, many leadership teams are only seeing and discussing that risk, missing opportunities to lead the way in the ethical use of data. Others are in the midst of the AI gold rush and risk repeating the kinds of mistakes that firms made with big data analytics. With AI regulations incoming around the globe, take an ethical approach early to reduce risk later.

AI Literacy

  • Get the basics without the hype. What can AI do to transform your business? What are the risks?

  • More importantly, what does your data strategy need to deliver to enable ethical & secure AI?

Data Ethics Panel

  • Embed ethics in all data decisions to move you beyond box-ticking compliance to a state where your business can hold itself up as an exemplar to customers, investors and regulators.

DPO-aaS

  • If your organisation is not in a place where a full time Data Protection Officer is seen as a necessity, access fractional services to support key data decisions.

  • Our consultants are CIPPe certified to help you navigate the complexities of GDPR (and similar) privacy regulations whilst also supporting your commercial data aims.