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Navigating the changing technical landscape in banking and finance

It can be said that the banking industry is going through a phase of radical modernization and technological change, transforming how finance delivers value to their customers. Technology is simultaneously disrupting and enabling banking and finance at the same time....

People – The driving force to a successful data analytics program

In most data analytics projects, much focus is put on the tools that need to be implemented. Understandably so, since choosing the right tools for your organization’s BI stack is crucial in defining the data analytics process. Not to mention, the cost of such tools...

Essential Questions to Ask During Data Prep & Analysis

Data preparation can be a tedious and time consuming activity.  However, it is a fundamental part of the data analysis process in order to produce accurate information that can be trusted. If you are responsible for preparing data for analytics, you have to ask...

Investing in Information

“Information is only useful when it can be understood” – Muriel Cooper Just about everything in life benefits from having the right information at the right time. In a business context, organizations that leverage information quickly are more agile, allowing them to...

Understanding Forecasting as a Business Tool

"I have seen the future and it is very much like the present, only longer." ‒ Kehlog Albran, The Profit An organization must be able to plan ahead by estimating factors that can have an impact on the business in the coming 90 days, year, etc. This is the art of...

How Business Intelligence Has Evolved Since 1865

Business Intelligence in 2017 is the vehicle to analyze a company’s “Big Data” to gain a competitive advantage. It allows companies a look at the efficacy of past actions, which they can strategically use as the foundation to plot the path forward. Business...

6 Illusions of Big Data

Take a look at 6 illusions that executives have about big data. There is always a lot of buzz around the term big data and many different opinions and definitions. It is time to get to the bottom of some of the common mistaken beliefs.