This report shows how businesses from various industry sectors adjusted their data strategies in response to the Covid-19 pandemic. As this report indicates, there’s a strong business need for insights derived from analysis of non-personal consumer data and a growing necessity to utilise it effectively.
Download this exclusive research by DataIQ and find out which organisations have achieved full alignment between their data and business strategies and how this relates to their data literacy and digital transformation programmes.
The cost of poor data quality on the organisation now stands at 8.8% of annual revenue. Download this report by DataIQ and Royal Mail to explore key data management challenges and the cost of poor data quality.
This report provides fascinating insights into how business organisations are harnessing the power of non-personal data. It underlines the critical importance of accessing third party data sources to support business strategy.
Industry data leaders from NHS Digital, Samsung Europe, Schneider Electric, TUI Group and Zurich will be presenting at the DataIQ Transform event taking place on Wednesday, November 13, 2019. We sat down with some of these industry leaders to learn more about their perspectives on the evolving data and analytics landscape.
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.
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.
We’re living in VUCA times - volatility, uncertainty, complexity and ambiguity. Not least because of Covid-19, our economy has become K-shaped with clear winners and clear losers. Chris Buckley of Code Worldwide considers five key trends in how brands are responding.
Live sport has been hard hit by the enforced absence of fans through Covid-19. As teams plan a way forward for 2021, data and analytics will need to play an enhanced part, supporting digital propositions and planning for the return of crowds. Nick Jewell at Alteryx considers what’s needed before the whistle blows for kick-off in stadiums.
Guide Dogs for the Blind recently went through a wide-reaching digital transformation, building its data and digital capabilities to support to those living with visual impairment better. CIO Gerard McGovern and Caroline Carruthers, CEO of Carruthers and Jackson and lead data consultant on the project, spoke to DataIQ about the goals and opportunities for the programme.
Bloomberg processes hundreds of billions of pieces of data from the global capital markets every day. To make it available for automated analytics, it first needs to be annotated. The experience it has built up from doing this has been pulled into a best practice guide to help other machine learning projects. Legal analyst Tina Tseng talked to DataIQ about this critical step in preparing structured and unstructured data.