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 value: Harnessing modern data platforms for data integration, advanced investment analytics, visualisation and reporting

Modern data platforms are bringing efficiencies, scalability and powerful new capabilities to institutions and their data pipelines. They are enabling the use of new automation and analytical technologies that are also helping firms to derive more value from their data and reduce costs. Use cases of specific importance to the finance sector, such as data...

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

Regulation and Risk as Data Management Drivers

A-Team Group recently held a webinar on the topic of Regulation and Risk as Data Management Drivers. Fill in the form to get immediate access to the accompanying Special Report. Alongside death and taxes, perhaps the only other certainty in life is that regulation of the financial markets will increase in future years. How do...