Money Dashboard is touted as Britain’s answer to Mint.com (the most popular personal finance management app in US). It is an online application that lets you monitor, organize and take control of your money. Once authorized, it can link to all your various bank accounts, provide real-time graphical analysis of your spending, allow you to set and achieve spending goals and also set alerts. It is however, a read-only application, you cannot do any monetary transaction using Money Dashboard.
‘Real-time’ has become a buzzword in recent times. Every other product we come across touts its real-time capabilities. When evaluating a new tool for your marketing, sales, or operational needs, you may have considered real-time as a necessary requirement. When reading articles on popular tech blogs, you’ve probably come across the term every other day. Yet, for many, the phrase ‘real-time’ is like a popular stranger that everyone talks about, but a stranger nonetheless. They wish they knew what all the buzz is about, but don’t know where to start. If that’s you, this series will serve as a great starting point in your understanding of what real-time data is all about.
Foursquare is a great way to let friends know what we're up to, or check reviews of a local restaurant. With the popularity of Foursquare, and the numerous 'check-ins' by users, it has a pretty good idea of what people are doing at different times of the day. Recently, Foursquare decided to use the data users give them to visualize how we move about in some major cities. They took check-in data over the period of a year, and plotted it over a map, updating it by hour of day. The result is quite fascinating, especially if you live in one of these cities.
If you have been following us over the years, you know that the we allow ourselves a little nostalgia on our birthday. At the breakneck speed the tech world operates at, it in fact is the only time we get to look back and reminisce the year gone by and all the things that happened… Read More »
We've spent the past few weeks discussing predictive analytics in much detail. We started with an overview of predictive analytics, then took a tour of various companies doing outstanding work in predictive analytics today, and finally reviewed the awesome dashboards of Recorded Future and Sift Science. In this final post, we look at some common, yet relatively unnoticed applications of predictive analytics in our daily life.
I’ve spoken in some detail about what Sift Science does in my previous post. As a quick reminder, Sift Science helps e-commerce businesses fight fraud using the power of machine learning and predictive analytics. They collect diverse data, glean signals from it, and assign a ‘Sift score’ to every user which predicts how likely it is that a particular user is a fraudster.
We're back with our round-up of the biggest news on big data, business intelligence, and data visualization. Going forward, we'll be doing this on a bi-weekly schedule, which we think would be the ideal frequency. 1. Explaining machine learning to non-computer-science people Quora is a great place to find nuggets of interesting conversations between prominent… Read More »