Mind the Data Gap

The biggest challenge facing marketers remains the same – acquiring new customers. Alongside it, a new challenge has emerged – how to analyse data and gain insight that drives marketing performance.

Why data has a better idea

Data has a better idea. This was the key message from Lorenzo Bavasso of Three who gave an insightful presentation at the DataIQ Summit. Toni Sekinah reports.

Data visualisation – What’s Bauhaus got to do with it?

The Bauhaus art school was founded 100 years ago this year. The global design movement initiated by the school’s foundation changed architecture and interior design forever. Has it also influenced the field of data visualisation and communication?
Tableau’s Andy Cotgreave considers.

Privacy, Value and Ethics Report 2: Coping with the cautious consumer

This research report confirms that we have now entered the calm before the storm. With research revealing 39.8% of organisations have still not reached a state of full compliance. This report explores attitudes to data sharing, awareness of data protection laws, trust and data sharing, negative impacts on trust and attitudes.

DataIQ Leaders briefing – Managing agile analytics

Agile analytics is gaining traction as a way of working. Its appeal is the ability to flex resources, responding to both short deadlines and long-term development projects, while providing practitioners with a good mix of challenges. For managers, it requires a different approach from conventional analytics. This white paper considers some of the key things to consider when adopting agile in the data and analytics function.

DataIQ Leaders briefing – Squads and tribes

For data and analytics functions adopting agile as their way of working, a structure is also required for the people management dimension. Squads and tribes is an approach pioneered by Spotify in 2012 that is starting to transfer into this sector. This white paper explains the concept and how individuals fit into it.

DataIQ Leaders CARBON™ guidance – Issues with digital transformations

Digital transformations are en vogue among business leaders, yet many fail to achieve their goals. Five gaps typical open up between the vision and the reality. This white paper identifies them and the reasons why they occur.

DataIQ Leaders briefing – 5 ways to keep data at the heart of digital transformations

A common experience for data practitioners when their organisation adopts a new digital-first strategy is that it often lands without a data strategy attached. This briefing note suggests five ways to avoid this happening and to make sure data is seen as integral to digital transformations, based on conversations with DataIQ Leaders and DataIQ 100 members.

DataIQ Leaders briefing – Are data engineers in the new skills demand hot spot?

Data engineers are the new in-demand skilled workers as organisation seek to integrate multiple data sources or move to new data platforms. This whitepaper considers the challenges of recruiting in a limited talent field and what skills this role really requires, based on a recent DataIQ Leaders roundtable.

Privacy, Value and Ethics Report 1: In association with Crowe

This research report confirms that, while consumers will continue to want increased personalisation, speed and flexibility in how they transact and engage with firms, many consumers will not compromise trust or their own privacy to achieve that. The research also positions data ethics as a rather immature concept in today’s thinking, both by consumers and businesses.

Seven steps to implementing successful artificial intelligence projects

Utilising data and AI at a business level to drive the overall value of the customer is very different from using it at the tactical level to optimise a channel or clicks and warrants considerable upfront planning. In this paper, we explore the steps that organisations need to take to implement AI into their organisation to ensure the greatest chance of success.

How Gymshark is on form with data exploration

Gymshark is a gym wear brand sold exclusively online through its website and a network of affiliate partners. Toni Sekinah hears from Alex Gray and Samantha Robbins about how they analyse the data generated by this network and through this way of selling.

10 Enterprise Analytics Trends to Watch in 2019

How will enterprises evolve over the next year to manage and make the most of this unprecedented growth? Download 10 Enterprise Analytics Trends to Watch in 2019 to learn how leading organisations will win with embedded and augmented analytics, Hyper-intelligence, collaboration, enterprise AI strategies, and more.

Join the dots: Why tackling data issues is key to digital transformation

This report, a collaboration between DataIQ and Experian, is a deep dive into the how and why of digital transformation as well as the role data quality and data management play in its success. Download this report to understand the importance of data quality and data management and how to prevent data quality pitfalls in transformation programmes.

Why does the history of data visualisation matter?

Data analysts may feel their struggle to make data comprehensible through great visualisation are dealing with a 21st Century problem. But as Tableau’s Andy Cotgreave explains, it is a problem with a 250-year history that’s well worth understanding.

Using intelligence to tell the story of analytics

Suki Fuller is an analytical storyteller with a background in intelligence. She tells Toni Sekinah what her job entails and how her unconventional education and career path led her to this role.

Laddering up to AI: Is your business ready?

AI is being adopted rapidly as organisations try to future-proof their business. But in the headlong rush to automate, are there risks in not getting the data basics sorted first? Can a more measured approach deliver better outcomes? Robert Goodwin of Wunderman considers.

DataIQ Leaders primer – Data and analytics apprenticeships

Apprenticeships are an alternative route through higher education, but they are not well known or adopted within the data and analytics sector. This primer explains the basic principles of the scheme and the current options, as well as a few issues that have yet to be resolved.

DataIQ Leaders briefing – Managing expectations and priorities of the analytics function

In the early stages of maturity, analytics functions tend to operate in a highly-reactive state with little in the way of prioritisation of those incoming tasks. This creates a false expectation among stakeholders and stops the analytics function from progressing up the maturity curve to become proactive. This briefing paper outlines some key steps to avoid this trap.

DataIQ Leaders briefing – Data value and data ethics

Under the accounting standards developed for intangible assets, data suffers from a highly-reductive approach which does not realise the level of value most organisations believed their data was really worth. So are new approaches possible? And what impact will data ethics have on data value? This briefing provides and overview of the issue.