Demystifying Artificial Intelligence

By now, you’ve undoubtedly heard the terms “artificial intelligence” and “machine learning”.  If you haven’t already, take a quick read of our previous article where we explain the basics of machine learning. Today, banks and credit unions are learning how to use the power of artificial intelligence (AI) to boost customer engagement, decrease costs, improve […]

Explaining the Basics of Machine Learning

Explaining the Basics of Machine Learning Financial institutions are no strangers to Machine Learning. Many institutions are investing heavily in this technology to improve cyber security, customer segmentation, and marketing campaign management. To simplify the discussion, think of machine learning as self-driving cars, practical speech recognition, and effective web searches. Machine learning is the science […]

Winning with Data: Top Analytics Use Cases for 2017

Data is rising at an incredible pace, covering all aspects of a consumer’s life. In the past two years, more data has been created than in the entire previous history of the human race. (1) 2017 has certainly been the year that data and analytics has redefined the financial services industry. For those financial institutions […]

A:360 Podcast #17 – Starting with a Question

Today’s A:360 discusses why it is critical to boil analytics down to well-defined questions. A question is the fundamental building block of analytics. Well-defined questions can shape and simplify the delivery of analytics to an organization. For those business users who aren’t quite sure what data they are looking for, helping them shape a question […]

data held hostage

Is Your Data Being Held Hostage?

More and more financial institutions are investing in developing their own analytics teams. Data warehousing and other modern analytics platforms are becoming the norm and not the exception. As these organizations start to develop their data strategy and implementation roadmap, some of them find that their data is being held hostage. What do I mean […]

analytics roi

A:360 Podcast #16 – Measuring Analytics ROI

Today’s A:360 discusses a few suggested ways to measure the return on investment (ROI) for your analytics initiatives. A common question I receive is “how do we determine the effectiveness of our analytics efforts?”. This podcast’s intent is to present a few possible ways to answer that very question about measuring analytics ROI. Watch and […]

A:360 Podcast #15 – A Phased Approach to Analytics

Today’s A:360 discusses why it is highly recommended that most organizations take an iterative, phased approach to developing their analytics solution. Watch and Listen Click to Watch on YouTube. Listen to the Podcast Click to Listen on SoundCloud Click to Listen on iTunes Read the Transcribed Audio Hey everyone. Welcome to today’s A:360. My name […]

data analytics for credit unions and banks

5 Reasons to Invest in Data Analytics in 2017

2016 was a great year for analytics throughout many industries. The financial industry seemed to especially embrace analytics and take the necessary first steps towards becoming a more data-driven industry. Back in the beginning of 2016, I published an article titled “5 Reasons to Invest in Data and Analytics in 2016”. Most (if not all) […]

Second Stage of Analytics Maturity: Localized Analytics

In my last post, I talked about some of the defining traits of an organization at the lowest, first, stage of the “Analytics Maturity Curve”. The second stage of the “Analytics Maturity Curve” is what Tom Davenport refers to as the “Localized Analytics” stage. Common Traits of This Stage The “Localized Analytics” stage is a […]

analytics maturity

First Stage of Analytics Maturity: Analytically Impaired

Where does your organization lie on the analytics maturity curve? This question is functionally equivalent to: What is the state of data analytics at your organization? How do we compare to others in the areas of business intelligence, data, and analytics? With regards to analytics, what the heck are we doing right and wrong? If […]