Rajeeve Narula Cloud adoption is perhaps one of the most common themes I hear in my customer interactions these days. There is a clear mandate within the UK government’s Cloud First policy for UK government and the wider public sector organisations to fully evaluate potential for the public cloud rather
It is widely recognized that the right price is crucial in insurance. Insurance is what is known as a ‘grudge purchase’: customers know it is necessary, but they hope never to use it. This traditionally and theoretically means that they want to pay as little as possible for their insurance
Data should alleviate strain instead of causing new pain Recent research from SAS and Accenture underlines what many of us already knew anecdotally. Marketers are increasingly frustrated by their inability to obtain and leverage insights into customer behavior. Marketing teams have data – heaps of data – but they are unable
Catching up to the consumers Using technology and analytics to support marketing is not especially new. It is fair to say that it has been possible for some time. Many organisations have invested in marketing platforms, for example. However, there is a niggling problem. The investment may have been made, but few marketers are
El sector financiero es uno de los que ha alcanzado una mayor madurez en cuanto a su transformación digital y la pandemia del Covid no ha hecho sino acelerar este proceso. De acuerdo a nuestro informe Experiencia interrumpida: ¿continua el Covid-19 cambiando el comportamiento del cliente?, antes de la pandemia
In our previous section of the series we discussed the impact of missingness and techniques to address this. In this final section of the series we look at how we can use drag-and-drop tools to accelerate our EDA. As mentioned at the beginning of this series, SAS Viya offers multiple
The rest of society hates bankers’ bonuses—and banks should too. The bonus cycle weakens the business by prioritising short-term profit over sustainable growth. Bankers’ bonuses are a regular target for media outrage, resentment, and calls for reform. Yet what most members of the public don’t realise is that the first
In our last blog we explored the potential impact of missingness in data in terms of its impact on models which require complete case analysis. We took a simple view that data was missing with an equal, independent, probability for any given model input. This week we explore cases where
During the pandemic, millions of people have made the leap to digital banking. Identity analytics can help banks provide a delightful customer experience while keeping fraudsters out in the cold. Fraud is often seen as a cost centre for banks, but there’s an opportunity for fraud teams to become a
In the previous section of this series we discussed ways of assessing the relationship between variables. This week we change the focus to the shape and sparsity of our dataset. One area of Explanatory Data Analysis which we’ve missed so far is the impact of missingness in data. Having missing
