In this edition, we talk to Anita Fernqvist of Zurich Insurance, Kinnari Ladha of TUI and the team from JCURV about awards and the importance of recognition. Plus, Paul Davison of Royal Mail on data for good and the impact of data quality.
How do you communicate a complex idea like an epidemic curve to people with minimal understanding of data? Alan D. Duncan of Gartner says the key is to use story telling techniques that make the subject engaging and emotional.
It’s more important than ever for companies to be able to make decisions based on data. But creating a data-driven culture isn’t simple. Zara Hawkins, data culture evangelist, Looker offers four suggestions for what to do to get it started.
Data and digital technologies will be at the heart of efforts to contain the virus and deliver the health and economic interventions needed to support those impacted. Liz Brandt of Ctrl-Shift explains why a trusted personal data mobility framework should sit at the heart of the remobilisation.
Entering an award is easy. Submitting something that grabs attention and makes an impact - that’s the hard part. Caroline Florence suggests six ways to make your DataIQ Awards entry stand out and become a winner.
Each year, DataIQ Awards honours a long-standing and influential member of the data industry with the Professor Derek Holder Lifetime Achievement Award. DataIQ asked last year’s winner, Keith Dugmore, what it meant to receive the accolade.
As easing of lockdown starts to look like a possibility, there are many unknowns about consumer behaviour that need to be addressed. Data science can help and it is no longer the preserve of large organisations, SMEs can benefit, too, argues Natalie Cramp of Profusion.
Business success depends on empowering frontline employees to make real-time decisions, yet only 7% of organisations are fully equipping their teams with analytic tools and resources, according to new research. Spencer Tuttle, vice-president EMEA, ThoughtSpot, which commissioned the research, explained to DataIQ how this paradox can be resolved.
Talk of contact tracing apps to tackle COVID-19 serves to highlight the difficult balance between using data to personalise services and robust data protection. Whether your organisation is involved in building these solutions or not, Craig Suckling of IAG Loyalty suggests there are four principles to keep you on the right side of your customers.
if there is limited trust in the data, should decisions be offloaded to an algorithm and other cutting-edge technologies? As organisations look to build up their capabilities and use of AI and machine learning, Clinton Hook of Experian argues for a renewed focus on their foundational component - good quality data.