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

Data Should be Regarded as a Strategic Asset: Webinar Preview

The growing acceptance of data as an enterprise-wide necessity is gaining ground, especially within capital markets, where rapid changes in the global economy and increasing pressure on bottom lines is prompting a rethink of business models. The need for greater data and product delivery speeds, the demand for more efficient workflows to reduce costs and...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

MiFID II Handbook – Second Edition

With the compliance deadline for Markets in Financial Instruments Directive II (MiFID II) just over two months away, A-Team Group has updated its MiFID II handbook to bring you the latest details on the regulation’s compliance requirements. Version 2 of the handbook, commissioned by Thomson Reuters, also includes new sections covering data sourcing and data...