DataIQ Leaders briefing – Best practice for outsourcing

Outsourcing can be effective and deliver a new solution rapidly. Or it can become challenging with scope creep and missed deadlines. It is almost certainly inevitable, even within data departments. A DataIQ Leaders roundtable considered the drivers of outsourcing and the critical success factors to look out for. David Reed reports.

Customer-first, but are data and technology falling behind?

With so much data, more stringent regulations, and higher customer expectations today, learn how brands are using data to understand and engage customers better in a disrupted digital world.

Business transformation – Catch up or get caught out

We know that digital transformation has never been more important, but the fact remains that most programmes under-deliver or fail outright. Some research suggests three out of four transformation programmes fail. So how do you make sure you are in the 5% of transformation projects that do deliver?

DataIQ Leaders briefing – From WFH to 3:2 and everything in between

Has your organisation decided when it will fully re-open its offices and, if so, how often it expects workers to be there? It is one of the crucial questions being asked by companies, many of them having decided to downsize their physical space. A DataIQ Leaders roundtable discovered how Covid-19 had changed working practices and workspace for data departments. David Reed reports.

DataIQ Leaders briefing – From data for good to data for purpose

Data for good is a popular term that connects the common desire to engage with big picture initiatives and the potential of data to have societal, environmental and economic impacts. But what D4G means can be very different from one organisation to another. This briefing draws on a DataIQ Leaders roundtable that surfaced some of the issues involved in embedding charitable activities alongside commercial ones.

New data, better business

This simple five-step guide summarises the attributes one needs to look out for when evaluating new data providers. As data becomes ever more important as a tool to make commercially-viable strategic decisions, it is vital to ensure that the source of that data is selected based on a fully-informed decision as well.

How to enter the DataIQ Awards 2021

The DataIQ Awards 2021 will honour both companies and individuals that have demonstrated excellence in the data industry over the pasts 12 months. This eBook covers how to enter and our most frequently asked questions.

Data projects in 2020 – shopkeepers, speedboats and storms

Last year presented as many opportunities as challenges for DataIQ Leaders members, from delivering long dreamed-of data migrations to digital transformations and leading-edge innovation. During a roundtable in February 2021, two very different types of project were identified which have mutual benefits and dependencies.

Driving recovery with better data quality

The challenges that businesses have faced with their data and marketing look very similar, as many of the findings in this latest round of research highlight. Some have seen little or no impact on their data strategies, whereas others have faced a significant change to their circumstances.

How to scale data science (when nobody else understands it)

For many companies, their investment in data science and their emphasis on making it a first-class corporate function have paid significant benefits. They’re seeing substantial operating improvements, improved employee efficiency, new revenue streams and much more. Download this report to explore many of these benefits.

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.

How to develop your data culture

We asked our 2021 DataIQ 100 Top Ten to share their views on how to develop a data culture in an organisation, how to build out data literacy and their thoughts on creating a data-first mindset. You can find out what they think leads to success in this eBook.

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.

DataIQ Leaders briefing – Talent management in a time of crisis

The start of the academic year each Autumn is usually a critical juncture for employers. Data and analytics departments have recently joined in this milk round activity, but with many universities putting the entire 2020/21 academic year onto a virtual footing with remote tuition, the usual pathways for recruitment appear blocked. A roundtable held in October 2020 explored whether conventional approaches to building talent at the top of the funnel are still relevant in the circumstances

DataIQ Leaders briefing – “Are we earning our place at the table?”

One of the longest-running discussions around data is exactly how to value the contribution it makes to a business. Hard metrics can be difficult to define and put in place, as a recent DataIQ Leaders roundtable revealed. This briefing note considers some of the ways in which members are trying to prove the return on investment they deliver

Data assets and data culture

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.

When data management meets crisis management

As businesses deal with the consequences of the global pandemic, disrupted data strategies are the reality for many leaders. Instead of supporting growth, many have had to plan cutbacks or even the wholesale closure of a business. James Miller reflects on his own experience of emergency planning.

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.