As more and more organisations embrace advanced analytics, we are starting to see several very successful implementations emerging, on both a small and large scale. At the same time, however, many organisations are not getting value from their expensive investments in analytics systems. And while failing may provide useful
I get asked a lot of questions by customers at all levels. They all want to know how to solve their problems, and it is part of my role to help them find answers. The range of questions is extremely broad. Data scientists want to know how they can improve
A restaurant cannot survive without customers. It does not matter how cutting-edge or delicious its food, or how many Michelin stars it has earned. The equation is simple: If it has no diners, there will be no income, and the restaurant will go out of business. This insight could be
Machine learning is very much the ‘topic of the moment’. It is being discussed everywhere, whether as machine learning, or as artificial intelligence. Machine learning techniques and tools have been around for a while, however, so why now? Is it just an idea whose time has come, or have there
For those who don’t know, Byte Night is run by Action for Children. It is the charity’s biggest annual fundraiser, and is, very simply, a national sleep-out by individuals and teams from the business and technology sector. Now in its 20th year, it is one of the UK’s largest mass
We hear a lot about how smart machine learning-based tools and platforms are going to change the world of work. Some commentators, like Stephen Hawking, have made apocalyptic prophecies about how the world as we know it will end as the machines take over, and there are no more jobs.
Mention multi-tasking and you open yourself up to a standard range of jokes about the gender divide, and effective ways of working. Recent research suggests that multi-tasking is actually impossible: nobody can do several things at once effectively. But a hybrid approach — if you like, multi-tasking for organisations —
We like to think of analytics as a logical discipline, where investment decisions are consistently rational and predictable. Not so. Customer organisations are driven by all the usual complex and sometimes contradictory forces. Business users want analytics to help them make good customer facing decisions as quickly as possible, while
I’ve had several meetings lately on data management, and especially integration, where the ability to explore alternatives has been critical. And the findings from our internet of things (IoT) early adopters survey confirms that the ecosystem nature of data sources in IoT deployments means we need to expand the traditional
Data monetization, at its simplest, is the process of turning data into bottom-line value for a company -- often through improving efficiency and/or customer experience, and building customer loyalty as a result. This may sound simple, but in practice, it’s anything but. Good data, advanced analytics and real-time decision making
While the growth of big data is an issue that preoccupies both the public and private sector, it’s also high on the UK government’s legislative agenda. All eyes are currently on the authorities, as we wait with bated breath to see what’s next in the quest to manage data escalation.
Sizing is a topic that solutions managers typically leave until the end after decisions about the application have been settled. But there are often many variables that can impact the final size requirement. We have seen across our customer base that sizing and the number of environments has been determined