About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

The Seven Habits of Highly Successful Big Data Users – According to Forbes

Subscribe to our newsletter

We’re still grappling with just how to apply Big Data to the real world of financial data management. Interestingly, this article by Forbes’ contributor Adrian Bridgwater (@ABridgwater) takes the well-known book The Seven Habits of Highly Effective People by Stephen Covey and uses the seven-habit approach to apply to big data analytics for users, analysts, developers, managers and evangelists.

To summarise, the seven holy virtues according to Bridgwater are:

1 – Begin With No End In Mind (as you never know what analytics can be performed and what insight can be gleaned)

2 – Be Proactive, Pragmatic, Progressive & Persuasive (proactive in looking for trends in data; pragmatic about what’s of real value; progressive in unearthing insights; and persuasive in selling the value of that insight to the board or rest of the company)

3 – Be Technology Toolset Agnostic (being open to openness)

4 – Take Big Data Into The Toilet (ok, not entirely sure this one makes sense but in essence Bridgwater cites an example of an Austrian hygiene company using big data analysis to change its business model)

5 – Be Time Sensitive (he cites Tibco’s European CTO Maurizio Canton as stating not all data is created equal… some of it has a ‘use by’ date, calling for immediate action)

6 – Keep A Wide Open Path For Big Data (you need to be able to rely upon a scalable infrastructure that can keep pace with the rapid exponential growth of your data)

7 – Above All, Be Holistic (you need to still look at the big picture, not just get caught up in the ‘old shoe box (or cluttered draw) of information’)

You can read the original article on Forbes’ website here.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

The Data Year Ahead: AI Comes of Age, Private Markets Become Less Opaque

2026 is set to be the year in which the evolutionary changes hinted in the past 12 months become established within the data landscape, according to expert predictions. Artificial intelligence will mature into the game-changing innovation it has promised for years and private markets, whose growth in importance in the past few years has been...

EVENT

Eagle Alpha Alternative Data Conference, Fall, New York, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...