Advanced data science promises numerous benefits to financial institutions in a wide variety of areas, including marketing, sales, operations, consumer intelligence, portfolio management, risk and compliance. Here are 10 significant …

FinTech businesses have turned Big Data into big money through greater process efficiencies and more consumer conveniences. Here are 5 ways financial institutions can use Big Data to their advantage: …

By capturing and leveraging massive volumes of data, financial institutions can capitalize on new data-driven business opportunities. In fact, financial institutions are already well on their way to doing so …

You don’t need to be an expert at artificial intelligence (AI) or machine learning to use data analytics effectively. In fact, the most sophisticated form of machine learning is the …

Data now rules our lives. But when data is of poor quality and/or not handled properly, both businesses and consumers can suffer. This makes good data governance of the utmost …

Our friends at Pepperdata examine 3 important ways leading financial institutions are leveraging Big Data and analytics to improve their bottom line in this quick but informative video.  Highlights from …

Money laundering is a serious global problem, and financial institutions are under increasing pressure from regulators to help put a halt increasingly-sophisticated criminal laundering attempts. One of the primary tools …

Advances in data science have now reached the point where they allow for a more comprehensive and accurate picture of growth opportunities and potential performance improvements to be developed. Specifically, …

Consumers expect financial institutions to provide an expert level of security when it comes to sensitive data. Over the years, however, some of the biggest data breaches have involved, in …

According to an Accenture Plc study, most consumers around the world would be willing to share more personal data with financial institutions if it meant that they received better services. …

In an age where convenience, speed and efficiency are king, it is unsurprising that chatbots are quickly becoming a preferred method of customer service. In fact, 69% of consumers have …

With all the recent news about cyberattacks and data leaks, one might sometimes wonder if he/she is really a target. After all, why would someone be interested in the data …

It has become obvious to most business that data is a necessary part of doing business; however, businesses must go beyond simply collecting data for it to be useful. Here …

In an environment where financial institutions are facing the regulatory need for increased transparency alongside a continued increase in data volume and velocity, the “ability to leverage data to analyze …

Check out this short video for an overview of how Big Data analytics is supporting digital transformation in the financial sector. Baku to host Finance and Investment Forum 2018 European …

With the rise of Big Data also comes the concept of a data lake – a repository of information so large it is somewhat like a vast body of water …

Financial institutions have long used data as a way to minimize risks. This data, however, typically comes from traditional sources (credit bureaus, SEC filings, etc.). But many (79% according to …

Financial institutions sit atop huge pools of data, but they won’t enjoy the value of it if they keep using yesterday’s tools. The sad reality is that most financial institutions …

Despite the progress personalization has made in other sectors, financial institutions are falling short. The trouble is that personalization can’t be bought; it can only be built through data. And …

Data is the hottest new commodity around the world. For financial institutions, much data is already readily available to them (e.g. basic client information, client transaction histories, etc.); however, digitalization …