AI is here, and data offices need to embrace it or suffer the consequences of having their businesses falling behind competitors in the very near future.
Organisations need to implement their own data academy to prepare for long-term success as data’s place in the business world continues to rapidly evolve.
DataIQ members came together to discuss whether business as usual – if it truly exists – is improved by a concrete data vision.
A data strategy is the roadmap for success utilising an organisation’s data capabilities, yet there is still a level of disconnect when it comes to non-data professionals appreciating its importance.
A data strategy is the roadmap for success utilising an organisation’s data capabilities, yet there is still a level of disconnect when it comes to non-data professionals appreciating its importance.
Data strategies are most successful when complemented by clear objectives, but the hard part is ensuring clarity.
There must be investment in technology and tools to become a data-driven business, but tight budgets and a lack of technical expertise should not stop organisations from starting their data journey.
DataIQ has set up a DEI working group and Manraj Othi, lead decision scientist at Starbucks, took the time to chat with our editor to discuss why DEI is important and his experiences.
As AI continues to grip the business world and open more doors than ever before, it is pivotal to have data on a pedestal within an AI strategy to drive decisions and inform stakeholders.
CDOs need to stand up and embrace the spotlight for their efforts while ensuring top-level executives understand why recognition is important to future data success.
With generative AI paving the way for a new era of data, businesses are rapidly seeking ways to incorporate tools into their operations, DataIQ member News UK delves into their approach.
Business leaders are in a race against competitors to make the best decisions possible for their objectives and it is up to CDOs and data to guide them.
Much like death and taxes, issues with data quality are a part of life for data practitioners – but there are steps to be taken to reduce any impact poor quality data may have on a business.
Are tools such as ChatGPT cutting non-English languages out of the AI revolution? As these tools are currently only designed to work in English, do we risk alienating swathes of the global population?
Data literacy is a challenge faced by all data teams, but to improve the rates and spread of data literacy, CDOs must understand how data literacy looks in different departments.
It can be very easy for CDOs to be pushed into adopting AI tools because of excited decision makers, but CDOs need to ensure they have thought about how AI can successfully be implemented.
ML and AI tools have exploded in use for data organisations, but what more can be done to improve quality, compliance and efficiency with the models? DataIQ member Robert Bates, head of decision sciences, Currys, provides expert insight in this report.
As a data leader it is imperative to create a data vision that can be demonstrated to decision makers for short and long-term projects, but how can one be formed?
This edition of CDO Challenges looks at how CDOs need to craft their storytelling abilities for audiences that are often unfamiliar with data value, data culture and data processes.
DataIQ members can now use the DataIQ Data Literacy Assessment to evaluate team-specific data literacy credentials and implement improvements.
