How to win on your technology bets, from AI to IoT

Keeping up with trends in technology can provide genuine financial gains and competitive advantage. But when it comes to implementing technology that is clearly relevant and being applied elsewhere, there is often a lag. The reason? Skills...

DataIQ Member’s Briefing – Technology and tools: Is our data tech keeping pace?

Where to start? To get the conversation underway, one member raised the point of data professionals being “unable to talk about technology and data without talking about the cloud strategy.” Over the last five years, it has become commonplace to experience multiple cloud strategies within the same organisation, whereas a decade ago it was […]

Technophobia – The fear that data businesses should be scared of

“Technophobia can be caused by many factors, lack of knowledge or experience with technology, negative past experiences or cultural or societal beliefs that view technology as a threat to traditional ways of life,” said Carolyn E Stebbings, chief operations and inclusion officer, RAPP. “Ignoring it won’t slow that pace of change.” The use of […]

Tech investments ease the pressure of utilising data

Understanding why tech is needed There are some key reasons why there should be a constant – yes, constant – investment in technology. Spending a huge sum of money one year and then hoping that will allow your business to coast for the next decade is simply not going to happen. Technology is rapidly evolving, […]

Moving from data silos to data assets

[…] which are outside of the direct control of the data management function – strategy (where scores are as low as 1.58 and only peak at 3.02) and technology (as low as 2.02). If an organisation does not have the right strategy and approach to technology in place, then issues with data will only multiply, […]

Ironing out the right technology wrinkles

[…] at Honda UK. On top of an SQL platform sits a marketing application layer including FastStats to provide the tools required. “There has been a lot of technology investment to deliver on that integration, on data quality and to fix bugs.” Critically, the database used to sit outside of the marketing function and “was […]

Deepak JoseGlobal Head of One Demand Data and Analytics (ODDA) Solutions, Mars, speaking at an event.

Silos and dashboards: Mars’ voyage of data foundations to influence today’s business decisions for a better tomorrow

[…] across the business and then implementing a range of solutions to deliver value such as by rectifying bottlenecks that arise. In addition to investing in leading platform technology such as from Databricks, through focusing on building a strong data culture with the use of storytelling, and a steady stream of data literacy education, Mars […]

DataIQ Leaders briefing – Data integration: How to avoid being blocked by technology

[…] held in early 2020. Five principles for data integration projects A common point of agreement around data integration is that it should not be viewed as a technology project. If it is, then the solution will be led by technology, rather than by the business. This is not always easy to avoid given how […]

DataIQ Member’s Briefing – ChatGPT: What the DataIQ community thinks

[…] in exploring was the way in which it can help with efficiency. A DataIQ member from the publishing world described how their primary focus with the new technology is to examine how it can improve efficiency at delivering value to customers. A second member from the insurance world agreed that efficiency was at the […]

Knowledge management – Turning data and analytics into a contact sport

[…] has the Institute for Manufacturing which formalises the spin-out of academic research into new businesses or new process for companies. Dr Tim Minshall at the Centre for Technology Management in the IfM, offers a good perspective on this practice: “Three key factors seem to underpin successful KT. First, it’s not a ‘zero cost’ activity […]

Double pivot gets Football Whispers the win

[…] understood, but rewarded and applauded the team – 28 data scientists, front- and back-end developers and content creators – for creating a player transfer prediction site. Chief technology officer Kieren Beltrame told DataIQ how the company takes publicly-available data from social media, news, blogs, forums and other sources to uncover what might be happening […]

How to run the perfect proof of concept

Two things are happening in enterprise IT: the pace of change is reaching breakneck speeds; and technology is moving closer to the strategic goals of businesses, creating a great deal of digital disruption. Young, agile businesses that hav...

5 lessons from the Future

[…] value-driving (and cost-saving) techniques for business. What emerged strongly from the day was that there are common issues and opportunities presenting themselves from the changing data and technology landscape. Here are five that stood out. Adoption by business and by customers is not the same thing Artificial intelligence and machine learning were a thread […]

DataIQ Leaders briefing – Enhancing the status of data

DataIQ members delved into the question "Do data platform projects enhance the status of data, or reinforce the perception that it is a technology function?" at a roundtable in April 2022. The conversation honed in on the ideas of business language and the importance of building a case to demonstrate value to enhance data’s status.

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.

NetApp and Aston Martin F1 – Driving data to the top

[…] a longer time than competitors which means they have a better chance to solidify their racing setup and extract the most performance from the vehicle. Furthermore, SnapMirror technology allows the UK-based engineers and simulator racers to use real-time data from the ongoing race to devise strategies, predict environmental changes (which can have drastic effects […]

Merkle Aquila – from Edinburgh kitchen to global player

[…] – 2016: Bigger and more business-like Right from the start, Aquila has been an advocate of the democratisation of data and analytics. But analysts also needed a technology platform to run their projects which could then become a product in its own right. “We had the crazy idea that you could automate the analyst.” […]

Data leaders discussing different documents.

DataIQ Member Case Study: Zurich Insurance – A new approach for a bright new data era

[…] would then allow the data team to see where the shortfalls in data learnings were and guide them to the best approach to transform people, process and technology for improved customer outcomes. Alex Sidgreaves, Chief Data Officer, Zurich. “To date, every data-related problem had received a point-to-point solution, which had worked for many years,” […]

Building a data lab

[…] do data scientists understand the needs of the wider organisation? A: Any understanding of the business develops informally among data scientists. Q: To what extent is suitable technology provided to the data science function? A: Technology provision for the data science is limited by the IT constraints of the function it serves. As is […]

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 […]

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