2020 Data Leadership Report
How To Manage Data As An Asset Webinar
‘Data as an asset’ is said a lot but rarely understood. On 11 December at 11:30 AM GMT we’re running a webinar that sets out what it means to really manage data as an asset, why it doesn’t happen more and how to get the business on board with it.
It’s thirty minutes, straight the point and with time for discussion. If you’re obsessed with technologies or technical standards, this isn’t for you. It’s for data leaders who want to secure a space for data at the top table of the business.
The UK’s National Data Strategy has been published for public consultation. We welcome it, especially its endorsement of treating data as a strategic asset. We believe in the power of data-driven decisions to make people’s lives better, be they customers, employees, suppliers, shareholders, local communities or future generations. That’s why our purpose is to enable organisations to get the best return from
“This is a very bleak year, but I am more confident than ever for the clean energy transition.” Those are the words of the International Energy Agency’s Executive Director, Faith Birol, speaking in 2020. The IEA figurehead recognises that the landscape that once favoured fossil fuel providers so well has changed. Big Oil is facing a shake-up like never before.
Everyone says data is an asset, but few know what kind of asset data is Data assets are talked about a lot, but few really understand what kind of asset data is. When you do understand it, you realise why most people don’t, and how we, the data community, can help them. The word “economy” comes from the Greek roots
Data governance – who’s counting? 858 212. About the population of Reunion**, and the gap between the WHO’s and John Hopkins’ total confirmed cases of COVID-19 worldwide**. On the 29th of October 2020, the WHO reported 44,002,003 confirmed cases. Worldometer which John Hopkins base their figures on, reported 44,860,215 cases. 858,212 is a big number – a whole island. The
Data is everywhere. Data is revolutionising business, changing the way organisations work, the services they offer and the decisions leaders make. This trend is obvious in born digital businesses like Netflix, Amazon and Uber. Their data is used to make recommendations, manage inventories or match capacity (drivers) to demand (passengers). For many businesses, data has become the lubricant that allows
Data is often talked about as a lake – organisations are either building or sitting on data lakes, but the problem with this analogy is that not all data in the lake is equally valuable. From a valuation perspective it is much better to think about data pools. Independent data assets – that may be combined into larger pools –
Data is an asset, not a commodity. Some people talk about data as the new oil, but this is too simplistic. Oil is a commodity – to be bought and sold. Data is an asset, an asset that grows in value through use. A single person’s data is not very valuable. Combining the data generated by thousands of people is a completely
Unilever, Kraft Heinz, Kimberly-Clark, Nestlé and Diageo. Just a small selection of the heavyweights that have benefitted from the success of the fast-moving consumer goods industry over the last decades. These companies have achieved success by leveraging strong retail relationships and driving down costs through mass production. But as consumer behaviours and habits shift towards the personalised products and subscription-based
The UK Government’s Department for Digital, Media, Culture and Sport (DCMS) is aiming “to unlock the power of data across the wider economy” by developing a National Data Strategy. DCMS has released a call for evidence, part of which invites a “review of commonly quoted statistics”. Here, DCMS is seeking to understand the veracity of seven of the most widely quoted
We currently create over 2.5 quintillion bytes of data every day, and this number is set to increase with the rise of the Internet of Things and proliferation of applications that benefit from machine learning and artificial intelligence. To process this massive amount of data, improving our computing power will be key. Moore’s Law, the observation that the number of