Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Business Intelligence, a Maturing Industry?
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > Business Intelligence, a Maturing Industry?
Business Intelligence

Business Intelligence, a Maturing Industry?

Peter James Thomas
Peter James Thomas
5 Min Read
SHARE

Good BI is like a fine port - it takes time in the making

Good BI is like a fine port - it takes time in the making

I was recently invited by recruitment consultancy La Fosse to chair an roundtable event for fellow Business Intelligence professionals. We held the meeting last Thursday evening in London. There was a good turn out with delegates representing the following industries (number of attendees in brackets):

  • Insurance and affiliated (5, including me)
  • Investment Banking and affiliated (2)
  • Manufacturing (2)
  • Media (2)
  • Aviation (1)
  • Public Sector (1)
  • On-line (1)

As chair there is always the dread of the tumbleweed moment; everyone staring at each other with nothing to say. However, I needn’t have worried as each of the group members had a lot to share based on their extensive and varied experiences in the area. We started at 6pm, rolled through the call for early departures at 7:45pm and dissolved into smaller groups around 8:30pm. As several people said via e-mail the next day, without journeys home to consider, we could have happily kept talking for several more hours.

More Read

Actionable Information Management Principles: People
IBM – Conversations for a Smarter Planet: 7 in a SeriesThe…
More Brands Use AI Driven PPC Strategies For Optimal Exposure
Data Virtualization: 6 Best Practices to Help the Business ‘get it’
Data Devils Snapping At Your Heels

There were a number of encouraging aspects to the event. First of all, in chatting to various people before we formally kicked off, I found that many (like me) had worked in a number of industries in addition to the one where they were currently employed. There was general agreement with my view that this can often broaden perspectives and that at least several central elements of BI are pretty transportable between different areas of business endeavour. Of course in-depth exposure to one sector is invaluable, but leavening this with a few years in different sorts of organisations can produce a more rounded individual with a wider range of experiences.

The second encouraging aspect was the nature of the conversations. There was little interest in the latest and greatest technological tools (though we did spend a bit of time on the almost mandatory topic of Big Data). Instead virtually everyone wanted to talk about the human aspects of their BI programmes; past and present. Questions included: how to generate enthusiasm; how to reflect business needs when these were often changing in line with rapidly shifting strategic and competitive environments; how to both provide payback and demonstrate that you were doing this; how to become an embedded part of the business, not a technology bystander. People were happy to offer examples of what had worked (and failed to work) for them and to enrich these with interesting anecdotes and pertinent analogies. I suppose if I achieved anything as chairman (and it was a relatively easy group to chair), this was to ensure that everyone had some airtime.

It would be untrue to say that there was unanimity on all points; some things had worked for some people, different ones for others. However it is fair to say that, at least at a conceptual level, there was a degree of commonality of opinion about success factors. More positively (and in line with my now ancient article A bad workman blames his [Business Intelligence] tools), no one felt that the answer to the challenges they faced was the latest dashboard or data visualisation tool. Most people felt that we have had the technological tools and general knowhow to succeed in information-centric programmes for years, if not decades. Reasons for success and failure have always been (and remain) in the rather messier areas of business engagement, sound programme management, strong communications, pragmatism and responsiveness to developing needs.

While the fact that so many BI practitioners shared these (in my opinion) well-informed views is perhaps not great news for the vendors of information platforms and tools, it does suggest that – after a troubled childhood – BI is coming of age. In established and well-understood areas of business what counts is not technology, but how you apply it and align this with what people need. If this approach is becoming mainstream in Business Intelligence, and on the evidence of last week’s meeting is it, then maturity seems to be within reach; truly an encouraging thought.
 

Follow @peterjthomas

 

Filed under: business intelligence Tagged: la fosse

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Common Misconceptions on Automating Decisions

6 Min Read

C to the E to the R to the N – will rock you in the head.

0 Min Read

Washing Machine hack sends twitter message when wash is done…

0 Min Read

A startup hopes to tap into the expertise of developing nations…

1 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?