As digital transforms every aspect of how businesses work, including customer experience, business priorities raise concerns of trust in data. Trust in data is critical if businesses have to use it to deliver a superior customer experience or strategize on a new business model.
Data in the world of digital ecosystems – social, mobile, cloud, analytics, digital identity, IoT – is so much more connected than ever and data teams need to find a way to deliver credibility without boiling the ocean. Information Management units need a way to communicate about the reliability, accuracy, security and ownership of data. Communicating data health can be tricky and there has to be some measures like a comprehensive rating. Digital Data Trust makes a mark here!
Digital Data Trust is the confluence of data discipline, data security, digital data experience and data resilience to calibrate Data Trust in order to enable value connect with customers and mitigate regulatory pressures.
A holistic approach to digital data trust
An effective digital data trust framework assists companies along multiple dimensions of data and digital adoption to help them address challenges of trust.
Companies, often, focus on eight dimensions in order to progress well in their digital journey (See Figure 1). These dimensions are just guiding principles and not meant to be prescriptive in nature: they advise on “what’s right for adoption of digital?”