Using data for good
Earlier this year we asked the DataIQ 100 to share their approach towards data for good, and the philanthropic initiatives they are planning to embark on in the near future.
DataIQ Leaders briefing – Best practice for keeping your tech stack on point
At a DataIQ Leaders roundtable in November 2021, members discussed how they are cultivating their tech stacks in the digital world. The conversation focused on the role of governance in scaling up, issues around the democratisation of technology and the relationship between technology and recruitment.
DataIQ Leaders briefing – Creating a diverse and inclusive data office
In the first of DataIQ’s “Leaders-led” roundtables, members discussed the importance of diversity and inclusion within their organisations, shared best practice examples and looked at how the data industry can come together to drive change. The roundtable was part one of DataIQ’s “Talent in Data” series – a stream of talent-focused activities and content focused on the evergreen issues of talent retention, career development and diversity within data.
How to drive successful data transformations
The pandemic fundamentally reshaped the way businesses interact with their customers. This brought a profound sense of urgency to the transformation agenda, as businesses adapted to weather a period of unprecedented disruption.
“It felt like going to war”: How ZOE built the Covid Symptom Study app
ZOE CEO Jonathan Wolf spoke with DataIQ about how the health science start-up adapted at pace to help tackle the most significant health crisis of the modern era.
DataIQ Leaders briefing – How data can support customer-centric business strategies
Since the outbreak of the pandemic, rapidly evolving market conditions have led organisations to adjust their strategies to be more consumer-oriented. However, customer-first doesn’t necessarily mean data-driven. At a DataIQ Leaders roundtable in October 2021, members discussed the best methods for aligning data and analytics with business stakeholders and their processes to reshape the customer relationship.
AI in Formula E: Winning on the racetrack – and against climate change
Formula E is defined by cutting-edge technology and fine margins. All participating vehicles are built on the same chassis and powered by the same battery. Uniformity of hardware means that teams rely on data and insight to gain strategic advantages. The Envision Virgin Racing Team has partnered with professional services firm Genpact to maximise its drivers’ chances on the track.
DataIQ Leaders briefing – Developing the next generation of data leader
At a DataIQ Leaders roundtable in September 2021, members discussed the challenges they face when progressing the next generation of talent up the career ladder.
Next slide please: How Covid made data literacy a public skill
A lack of knowledge can cost lives during a crisis. As the virus spread Government departments and public bodies had to quickly learn how to present data to the public – placing a renewed focus on data literacy. Data practitioners are hopeful that this focus will continue long after the pandemic passes into the rear view mirror.
DataIQ Awards 2021 Book of the Night
The standard has been extremely high and the competition fierce for the 2021 DataIQ Awards – the data industry’s most prestigious awards. Read about each organisation, team and individual that has been crowned a 2021 DataIQ Awards winner.
Delivering value through data science
This report’s findings on the value generated by data science really emphasise why those who have embraced it are so zealous about transforming their businesses to be more data-driven.
DataIQ Leaders briefing – Accelerating your organisation’s data maturity
At a DataIQ Leaders roundtable in August 2021, members from organisations at varying levels of data maturity discussed the best methods for cultivating a data-driven culture.
How analysts are changing football
Data has played a role in football for decades, but in recent years its use has expanded rapidly. Football’s data analysts are working out how to encourage innovation within a world that remains built on tradition, ego and rivalry.
DataIQ Leaders briefing – Embedding data into your corporate DNA
Most organisations have come to terms with the importance of data and analytics. However, without a defined strategic roadmap to facilitate the pivot towards data, transformations can be ineffective. At two DataIQ Leaders roundtables conducted in July 2021, members discussed the best methods for embedding data into their organisational structure.
What divergence from GDPR means for data professionals
How Government plans to diverge from the General Data Protection Regulation could upset the delicate balance between consumers, business and the way data flows between the two.
DataIQ Leaders briefing – Getting the most out of automating analytics
Data teams are under increasing pressure to drive value within the business, which often means automating any repeat processes that can be mapped and standardised. This includes analytical processes. At a DataIQ Leaders roundtable in June 2021, members discussed the best methods for laying the foundations of a successful journey to automate analytics.
Making every data minute count
This report will give you a greater insight into the data skills gap emergency and the challenges it’s creating. Armed with the full picture, you can explore innovative ways to increase data literacy in your organisation.
Wondering how to respond to business disruption? Start with your chief data officer
Pursuing a digital transformation? Wondering how to respond to a rapidly-changing market and business environment? You need data skills and a good data leader, say Alan Jacobson of Alteryx.
Driving digital transformation
Download this eBook by DataIQ and Tableau to find out how you can increase the chances of success with your digital transformations.
Why good data governance is central to building a successful modern business
Trusted data has become increasingly important to getting the best out of emerging technologies like AI, with competitive advantage depending on it. But climbing the AI ladder requires a positive focus on data governance. IBM’s Jay Limburn explains the steps it takes to reach the top.