Retail recommendation engines do a passable job at inspiring customers to make routine purchases. But what about something as unique as perfume? Can you automate this most personal of choices? Natalie Cramp of Profusion takes the lid off how AI is doing just that.
Getting your data strategy signed-off by the organisation is a great moment. But it is not the end of the task - it is actually where the work really begins. Lisa Allen of DAMA (UK) identifies the critical steps you need to take next.
The opportunities for data to help society respond to long-standing and emerging challenges is limited only by our imaginations. Covid-19 has highlighted this fundamental importance of data and technology. Jonathan Westley, CDO at Experian, points out some examples.
The economic recession has taken many data and analytics leaders back to their early days with a reduced headcount and shortage of deployable talent. Rebuilding will mean tackling some of the obstacles they already faced, plus a few new ones. Jorgen Heizenberg of Gartner offers five ways to restart the data revolution.
marketing is often one of the first departments to be hit by budget cuts when times get tough. Yet marketing activity can play an instrumental role in revenue generation and customer retention. Richard Shore of Dun and Bradstreet explains how a new data-driven playbook can help.
Insights-driven public companies grow faster with data as their fuel. Yet nine out of ten struggle to scale their analytics. One of the biggest obstacles is ensuring you have the right skills and mindset right across the organisation. James Eiloart of Tableau suggests ways to find them from inside and outside of your business.
How do you write a data strategy that will guide your organisation on the long journey towards a thriving data culture? Deborah Yates of DAMA UK offers five tips that can help you find the right balance.
Pursuing a digital transformation or becoming a data-driven business ought to mean placing the data strategy at the heart of the business strategy. That doesn’t always happen, which is why Nigel Turner suggests some ways to make sure business and data become better friends.
Assembling the right team for a particular task is all about the perfect blend of skills. Data science is a team sport and depends on an understanding of the skills and capabilities of everybody. Rich Pugh of Mango Solutions considers how to bring them together.