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.
The Data Trends Report 2019
The Data Trends Report 2019: Are You On Board With The Customer Journey? discusses the results of a quick-fire survey of over 270 data insight and marketing campaign software users across a variety of industries. Discover the channels that are being used to drive customers’ communications, including the most popular social channels.
DataIQ Leaders briefing – Six habits of effective analytics leaders
Many organisations have set out a vision for their use of data and analytics. Often, the emphasis is on the tooling and hard skills required, rather than the behaviours and culture involved. This briefing paper considers six key aspects of soft skills that any senior manager of analytics leader needs to consider to deliver the vision.
Ensuring high quality data processes in insurance
Zurich Insurance went through a transformation to simplify its data processes, and was recognised with a DataIQ Transformation with Data award. Toni Sekinah speaks to Anita Fernqvist who led the turnaround.
Oliver Smith – Telefónica’s healthcare moonshot and dreaming big
Oliver Smith is leading a far-reaching innovation programme at Telefónica as part of a “health moonshot” to change lifestyles and reduce chronic illnesses. Ahead of his speech at Data Summit, he told DataIQ how they plan to get there.
Trust and ethics
As trust becomes an increasing factor for the customer, demonstrating the ethics of how data is to be used, managed and protected will become a competitive differentiator.
DataIQ Leaders briefing: Four Steps towards creating communities of practice
Many organisations have data and analytics practitioners, often delivering against local requirements and from dispersed team or functions. To transform the impact they can have enterprise-wide, a level of momentum and critical mass needs to be created. One option is to build communities of practice. This whitepaper considers how to go about setting up a CoP.
Improving marketing effectiveness
Consumers expect to receive personal and relevant communications from the brands they choose to interact with. To do this, brands need to understand which touchpoints an individual engages with and what influence that engagement has on the customer’s purchase decision so that they can continue to serve the right message, at the right time – which will allow them to stand out amongst competition. This guide will talk you through different attribution methods which vary in complexity and accuracy,
Effective strategies for customer data maturity revealed – New study
With data being hailed as the fuel for the fourth industrial revolution, it’s no surprise to see new research emerging tying data maturity to business success. But what are the key ingredients for data maturity? And what are the key benefits? A new study has the answers.
Switched-on consumers – Their data, their terms
DataIQ in association with Tealium carried out a research project among consumers exploring their awareness of how personal information is being requested and used, as well as what influences their attitudes during this data-value exchange. Download this report to see what the research reveals about privacy attitudes and consumer awareness of data protection rights.
How studying politics led to a career in data
Many of the people who work in data have a background in STEM subjects but equally the study of arts and humanities can form a strong basis for a career in analytics. Tess Merkulova tells Toni Sekinah why it is important to her as a data professional to pay very close attention to detail, and what are the similarities between data and comparative politics, which she studied to degree level.