This research report confirms that we have now entered the calm before the storm. We expect that ongoing investigations by the ICO will not only put the intimidatingly large fines back into the media spotlight, but may also impact many business models. With research revealing 39.8% have still not reached a state of full compliance. It’s also discovered that consumers are now wising up to the new data protection laws.
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.
This guide will talk you through different attribution methods which vary in complexity and accuracy and explore the benefits of advanced techniques and offer examples of how brands are doing it well. Learn the four key steps to build the right attribution model for your brand.
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 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.
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.
Collecting, cleaning, putting it together and making sense of data to derive business insights is a lot to deal with. Companies that do master that process will be the ones set themselves apart from the pack.
With much discussion of FaceApp’s end-user agreement, Toni Sekinah decided to pore over the small print of her new sports watch resulting in some comments and questions. She concluded that companies and organisations that collect our data need to more than just say ’these are our conditions, like it or lump it’.
For chief data officers who spent several years working hard on GDPR, the fines levied on BA and Marriott must feel disappointing. But it is CIOs and CISOs who have let those companies down, not CDOs, argues David Reed.
While there is ever-increasing use of industrial IoT and we are moving closer to a world where machines will be able to take care of themselves, those machines will not be fully robotised. This is according machine learning expert Mike Brooks of Aspen Technology who Toni Sekinah how his company identifies problems from sensor data.
Travel technology start-up Volantio has a platform that uses machine learning and analytics to help airlines manage their overbooked flights. Fenn Bailey of Volantio speaks to Toni Sekinah about his company uses analytics to do this and which other industries might benefit from such a platform.