As data analysts, Asterisk Intelligence is dedicated to the following objectives:
- Developing and sharing expertise in data warehousing and analytics
- Building business intelligence talents at credit unions
- Providing products and services which support credit union data scientists.
Follow along with members of our team as we blog about the journey and experiences of executing our vision. Each blog (and person) has a slightly different flavor of writing style and content so there’s something valuable here for everyone. Take a look and make sure to subscribe for email updates from any blog you’re especially interested in:

The Data Plunge
Keegan Daniel
In order to create a business about data, one must be inspired to actually take the plunge into data. Data is everywhere and without diving in, we will be lost within the sea of data. The goal with this blog is to teach, negotiate, and challenge the community of those who are invested in data and how a business can be built surrounding the data that they are impacted by each and every day. Concepts and ideas will be generated to entice readers to think about what they are doing with data, and how they can improve on those operations.

The Data Dialogue
Thomas Hull
The Data Dialogue is a blog dedicated to maximizing the value attained through proper data utilization and presentation. If a single picture is worth a thousand words, what would an analytical briefing be worth?

My Credit Union Did What?
Josh Peacock
Making observations that stimulate collaboration, and start conversations about credit union operations.

Making a Data Point
Annalyn Hawkes
Making a Data Point is primarily focused on tactical tips or resources related to data mining, data analyzing, data management, and the best tools we use for each. In order to analyze data, we must first know where to find and extract it. I’ll share stories of my experiences and projects on our team called Asterisk Intelligence…and it’s possible some not so practical topics could creep their way in as well.
Visit Making a Data Point