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.
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.
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.
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.
NHS England’s Ming Tang named most influential person in data in 2021
DataIQ has chosen Ming Tang, managing director of data and analytics at NHS England, as the most influential person in data and analytics in the 2021 edition of the DataIQ 100. In partnership with Tableau, it is the first and only fully-curated power list of the data industry’s key figures.
3 ways DataOps can deliver business value this year
DataOps can help deliver insights faster, with higher quality and resilience in the face of constant change. But there is a lot of confusion about what DataOps really means. Ted Friedman of Gartner outlines three value propositions that make sense of this approach.
Guide Dogs for the Blind: Side-by-side with digital and data
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’s best practice for data annotation
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.
Start here: Now implement your data strategy
Getting your data strategy signed-off by the organisation is a great moment. But it is not the end of the task – it is actually where the work really begins. Lisa Allen of DAMA (UK) identifies the critical steps you need to take next.
Walking the tightrope: 5 tips for writing a data strategy
How do you write a data strategy that will guide your organisation on the long journey towards a thriving data culture? Deborah Yates of DAMA UK offers five tips that can help you find the right balance.
Mutual Friends: Aligning business strategy and data strategy
Pursuing a digital transformation or becoming a data-driven business ought to mean placing the data strategy at the heart of the business strategy. That doesn’t always happen, which is why Nigel Turner suggests some ways to make sure business and data become better friends.
Recognising the business benefits of winning an award
Crafting an award entry takes time, effort and then there are any costs associated, too. So is it really worth it? For past winners of the DataIQ Awards, it is a resounding yes.
Data storytelling is critical to getting the Covid-19 message across
How do you communicate a complex idea like an epidemic curve to people with minimal understanding of data? Alan D. Duncan of Gartner says the key is to use story telling techniques that make the subject engaging and emotional.
4 steps that establish a data-driven company culture
It’s more important than ever for companies to be able to make decisions based on data. But creating a data-driven culture isn’t simple. Zara Hawkins, data culture evangelist, Looker offers four suggestions for what to do to get it started.
Four principles to balance personalisation and data protection
Talk of contact tracing apps to tackle COVID-19 serves to highlight the difficult balance between using data to personalise services and robust data protection. Whether your organisation is involved in building these solutions or not, Craig Suckling of IAG Loyalty suggests there are four principles to keep you on the right side of your customers.
Seven steps to building an analytics community
Building a successful and lasting analytics community takes time and effort. Liz Matthews of Mango Solutions looks at some useful steps that organisations can take to establish and maintain a thriving collaborative approach.
Why building an analytics community is key to data-driven transformation
Your organisation needs analysts and data scientists to thrive. They need a community to thrive. Liz Matthews of Mango Solutions explores why enabling them to network and share is critical to a successful practice.
Lyndsay Weir – Keeping quiet as a female leader
Lyndsay Weir is global data and analytics manager at Nestlé. At the Women in Data conference in November, she was named as one of the new list of female industry role models, the 20 in Data and Tech. She told DataIQ how being a female leader and role model can be done in a quiet way.
Data champions are the backbone of data culture
For data-driven organisations, some of your most high-potential employees are those with strong data skills and a desire to share them with others. James Eiloart of Tableau explains how to identify and manage these data champions
Business decisions based less on trust and more on truth
Dun & Bradstreet, a business information data company that provides business credit reports, has over 330 million business records on its Data Cloud. Andy Crisp tells Toni Sekinah about his observation having completed 20 years in at Dun & Bradstreet and what it means to ‘own’ data at the company.