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

Recorded Webinar: Unlocking Transparency in Private Markets: Data-Driven Strategies in Asset Management

As asset managers continue to increase their allocations in private assets, the demand for greater transparency, risk oversight, and operational efficiency is growing rapidly. Managing private markets data presents its own set of unique challenges due to a lack of transparency, disparate sources and lack of standardization. Without reliable access, your firm may face inefficiencies,...

BLOG

Bloomberg BQuant Wins A-Team AICM Best AI Solution for Historical Data Analysis Award

When global markets were roiled by the announcement of massive US trade tariffs, Bloomberg saw the amount of financial and other data that runs through its systems surge to 600 billion data points, almost double the 400 billion it manages on an average day. “These were just mind-blowingly large volumes of data,” says James Jarvis,...

EVENT

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

Now in its 9th 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

The DORA Implementation Playbook: A Practitioner’s Guide to Demonstrating Resilience Beyond the Deadline

The Digital Operational Resilience Act (DORA) has fundamentally reshaped the European Union’s financial regulatory landscape, with its full application beginning on January 17, 2025. This regulation goes beyond traditional risk management, explicitly acknowledging that digital incidents can threaten the stability of the entire financial system. As the deadline has passed, the focus is now shifting...