Build and future-proof your skills with DataIQ Leaders

If data and technology are creating what has been called the Fourth Industrial Revolution, then data and analytics functions (D&A) find themselves right at the heart of this transformation. This article maps the skills you need now and in 2020 against the DataIQ Leaders programme to help you find the resources to equip yourself.
Improving soft skills in the data and analytics function

This guidance whitepaper considers how organisations should map soft skills, support teams in developing them, incentivise improvements and measure these abilities from the top down. It is intended to help DataIQ Leaders members to improve their scores on these factors when undertaking a CARBON™ assessment.
Creating a hub for intelligent data at Deutsche Telekom
Sven Löffler, business development executive of big data and data-driven business at T-Systems, a subsidiary of Deutsche Telekom, oversaw the launch of the Telekom Data Intelligence Hub. The Telekom Data Intelligence Hub is a secure market…
Moving from data silos to data assets

With every new system adopted by an organisation, data proliferates. Without the right management and governance, these sources soon become silos. The result can be an incomplete view of the business and its customer base, as well as flawed processes and lost value. This guidance whitepaper offers insights into how to improve your CARBON capability around data management.
Twin hubs and weird hours – How to manage a global data team
The obvious difficulty posed by having data teams- based in different cities around the world is coordinating meetings and having face-to-face time. However, according to the former global lead of customer intelligence and data at a leading retail…
“It’s not always the weather” – Optimising KPI development and delivery

Business intelligence is often the entry point for data transformations. As such, it brings the data and analytics teams into direct contact with lines of business to refine, support and deliver key performance indicators. This guidance whitepaper offers insights into how to improve your CARBON capability around this business-critical area of activity.
Data ice breakers
The reports I’ve been reading recently have been peppered with facts and figures about the digital universe and the data economy. I have brought together some of them for reference in case you are ever caught short of a data-related titbit…
Trusting brands, sharing data – the GDPR effect
If the prospect of the new legal framework for data protection has you worried, just imagine what life was like for charities back in 2015. “We were shaken by the negative impact from the death of Olive Cook,” recalled Michelle de Souza, chief dat…
UK consumers the most trusting with location data, despite fears
Britons have conflicting sentiments about the collection of their location data. This is according to a survey of 8,000 global consumers, including 1,000 in the UK. Toni Sekinah reports.
UK respondents are most likely of al…
So that’s what a neural network is!
I’ve been writing about data and analytics for a while now, and there are some terms and phrases that I’ve used so often that I’m sure I know what they mean. I can generally use them in the right context, but I would be hard-pressed to come up wit…
Harder, better, faster, stronger: How marketing can lead in a data-driven world
The future is automation. The future is blockchain. The future is artificial intelligence. If these statements are true, then there is an important question for us in the marketing industry: with a future orientated to data-driven marketing, do we…
Building a data lab

Data science has been a focus for investment by organisations seeking to mature their data and analytics capability for the last five years. This briefing paper offers insights into how to improve your maturity score by creating a data lab,
Get the data basics right

Get the basics right, use incoming regulation as a stimulus to innovate, and choose the right tools to manage the data. Those are the three key conclusions drawn by credit reference agency Experian from a recent …
2018 DataIQ 100

DataIQ has created the definitive list of power players – the people we believe possess the most influence, profile, experience and knowledge to drive the vibrant data-driven marketing industry.
How King is crushing games data

Jonathan Palmer, product director of core data services at King, the entertainment company most famous for creating the Candy Crush franchise, sees himself as being in a lucky position. He hasn’t had to generate curiosity about using data from all…
Lessons learnt from AutoTrader algorithms

Dr Peter Appleby is the head of data science at AutoTrader, having worked his way up from data scientist and lead data scientist positions. By going through the process of productionising algorithms, he learnt the important lessons of playing to o…
Improving BI data quality

Data quality in business intelligence is not often recognised as an issue in itself, yet its impact on the reliability of reports and KPIs can be significant. This guidance note offers an approach for improving your CARBON score for BI by one or two points.
“Ditch and switch” – the £77 billion cost of failing to be hyper-personal

Nearly one third of consumers expect the companies they engage with to know more about them, according to a survey of 25,000 consumers globally, including 1,800 in the UK. Furthermore, the …
Information is beautiful – but can it also be BI?

Last week saw the latest set of winners in the Kantar Information is Beautiful awards announced. Once again, it revealed how incredibly diverse the ap…
Driving analytics at Jaguar Land Rover

Get support and be supported by sharing and collaborating. This was the key message from senior analytics manager Richard Bovey on what he has learnt from setting up the analytics team at Jaguar Land Rover automotive company.
The analytics …