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: Navigating a Complex World: Best Data Practices in Sanctions Screening

As rising geopolitical uncertainty prompts an intensification in the complexity and volume of global economic and financial sanctions, banks and financial institutions are faced with a daunting set of new compliance challenges. The risk of inadvertently engaging with sanctioned securities has never been higher and the penalties for doing so are harsh. Traditional sanctions screening...

BLOG

Agentic AI Deployment Presents Potentially Dangerous Data ‘Trust Paradox’

Artificial intelligence deployment in capital markets’ data processes may be approaching an inflection point that, if not managed properly, could introduce dangerous risks to institutions’ operations. The growing deployment of anonymous agents has the potential to hardwire data errors into workflows, magnifying data weaknesses as the automating technology scales processes, according Informatica from Salesforce. The...

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 Data Management Implications of Solvency II

This special report accompanies a webinar we held on the popular topic of The Data Management Implications of Solvency II, discussing the data implications for asset managers and their custodians and asset servicers. You can register here to get immediate access to the Special Report.