This report, a collaboration between DataIQ and Experian, is an extensive look at a complex topic which often involves many departments across an organisation. It’s 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 to a successful digital transformation, how to prevent data quality pitfalls in digital transformation programmes
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.
Artificial intelligence is the alpha trend in technology right now and is having a sweeping impact on how marketing organisations work and approach customers. AI is not new, but due to a series of converging conditions – wide availability of machine learning and advanced analytics; an abundance of data; and affordability of raw computational power – AI has gained momentum and is today a technology with substantial transformational impact.
CFAO is a 4.2 billion euro company based in France that does business in 36 African countries, 7 French overseas territories, Denmark, Portugal, Italy, India, Vietnam, and Cambodia. With more than 140 operational subsidiaries, CFAO found it difficult to be as responsive as they wanted.
How Brands Can Leverage Customer Data Platforms to Create Timely, Relevant and Personalized Experiences
Each day, an estimated 2.5 quintillion bytes of data is created. This includes staggering amounts of transactional and demographic data, as well as virtually infinite amounts of behavioral data. For many organizations, the problem lies not in the gathering of such data but in it’s organization, analysis and application.
Successful brands know that having quality customer data drives greater business success and more engaged customers. Yet organizations of every size continue to struggle with making data-driven decisions as a result of poor quality data.
Today’s mobile users are demanding - only 5% of mobile consumer apps survive their first 30 days. Any organization embarking on an enterprise mobility initiative must heed the hard-learned lessons from the consumer space to ensure the successful adoption of their apps.
The exponential pace of disruptive innovation is fundamentally changing the way enterprise organizations do business. In response, companies are looking to digital transformation initiatives as the key to the discovery and development of new business models and long-term business survival.
Unlock the true potential of your data with data-driven marketing to make better decisions.
Today, marketers turn to the most reliable source of information: The customer data. Unfortunately, though so many still have problems with the data-driven approach. Many often ask us where to find suitable data. Others criticize about the lack of tools.
In this edition of the podcast, Amanda Davis of Parkinson’s talks about the charity’s new data strategy and CRM platform. Plus, Tom Smith of the ONS Data Science Campus reflects on two years of activity.
The current methods of governing artificial intelligence and autonomous systems are not sufficient to protect our connected devices from having their vulnerabilities exploited by hackers. Dr Bertie Müller points out some of the flaws in the systems that some of us use on a daily basis, and what might be a better way to mitigate them.
What should come first; the question that you want the data to give the answer to or the answers with the question being devised retrospectively? At Digital Transformation Expo, Toni Sekinah put the question to Dale Campbell of TfL and Anthony Bartolo of Microsoft about whether the data cart goes before the horse or vice versa.
On World Mental Health Day, Toni Sekinah takes a look at some of the companies using technology, and in some cases, data and artificial intelligence, to combat mental illness and widen access to services.