The Banker Database is a service of the Financial Times, providing you with comprehensive financial data, news feeds and executive contact data on the leading banks in every country. We track key indicators, including itemised breakdowns of banks’ balance sheets, profit and loss accounts, and regulatory capital data. Our data has been normalised for regional reporting and regulatory variations, and has formed the basis of The Banker’s monthly bank rankings, including the world-renowned Top 1000 World Banks, since 1970.
August 5, 2013
June 3, 2013
Every year, Mary Meeker and the team from KPCB unleash upon the world the mother of all slideshows, which aims to sum up The State of the Internet. This year’s behemoth is a whopping 117 pages of stats, facts, trends and data from around the world.
- The compendium shows us once again, how time spent by people on print media and the money brands spend in print are so terribly lopsided.
- How technology companies based in the US actually pull more people on to their sites from around the world.
- In mere 7 years how the centre of gravity of the mobile OS market shifted.
- Facebook is beginning to lose its mojo.
- How Saudi Arabians and Indians share the most online.
- How is you use a smart phone, you could be reaching out for it up to 150 times a day.
Check out the full report here.
May 12, 2013
In their quest to extract insights from the massive amounts of data now available from internal and external sources, many companies are spending heavily on IT tools and hiring data scientists. Yet most are struggling to achieve a worthwhile return. That’s because they treat their big data and analytics projects the same way they treat all IT projects, not realizing that the two are completely different animals.
March 18, 2013
Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You’ll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.
January 6, 2013
Statistical modeling is a powerful tool for developing and testing theories by way of causal explanation, prediction, and description. In many disciplines there is near-exclusive use of statistical modeling for causal explanation and the assumption that models with high explanatory power are inherently of high predictive power. Conflation between explanation and prediction is common, yet the distinction must be understood for progressing scientific knowledge. While this distinction has been recognized in the philosophy of science, the statistical literature lacks a thorough discussion of the many differences that arise in the process of modeling for an explanatory versus a predictive goal. The purpose of this paper is to clarify the distinction between explanatory and predictive modeling, to discuss its sources, and to reveal the practical implications of the distinction to each step in the modeling process. Download and read more here.
Auto Section: Successful Lead Scoring Programs – How a Strong Data Foundation and Optimization Help Drive Sales
December 23, 2012
Lead qualification (scoring) not only improves dealer satisfaction on the leads they receive, it improves close rates and ultimately the ROI on your lead management efforts. And it all comes down to the science of accurately predicting a leads’ sales potential by estimating close rates. This in turn enables the development of relevant response strategies, and can lead to significantly improved dealer performance and increased sales. Although the concept is not new in automotive marketing, it is as important as ever.