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
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: The Future of Business Intelligence
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 > Decision Management > The Future of Business Intelligence
AnalyticsBusiness IntelligenceDecision Management

The Future of Business Intelligence

Steve Bennett
Steve Bennett
6 Min Read
SHARE

Keynote address to the Next Generation Data Warehousing Conference, IDG Korea , Seoul, South Korea, February 16th 2011

I presented my thoughts to a couple of hundred Senior Managers from a wide range of Korean organisations. Crystal ball gazing is something I usually leave to vendors and consultants so I focussed on the following aspects that I at least have some practical experience of:

Keynote address to the Next Generation Data Warehousing Conference, IDG Korea , Seoul, South Korea, February 16th 2011

I presented my thoughts to a couple of hundred Senior Managers from a wide range of Korean organisations. Crystal ball gazing is something I usually leave to vendors and consultants so I focussed on the following aspects that I at least have some practical experience of:

  • Key trends to the end of the decade
  • Best practices
  • Organising the future intelligence capability.

The following key trends struck me as important factors influencing the future of our work in analytics:

  • An Unprecedented Explosion In Data. “Between now and 2020, the amount of digital information created and replicated in the world will grow to an almost inconceivable 35 trillion gigabytes as all major forms of media”
    IDC iView, “The Digital Universe Decade – Are You Ready?” May 2010
  • The Dominance of Mobile Multimedia Content. “Global mobile data traffic will increase 26-fold between 2010 and 2015 … Mobile network connection speeds will increase 10-fold by 2015 … Two-thirds of the world’s mobile data traffic will be video by 2015.”
    Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2010–2015, February 2011
  • The End Of English. Chinese-language content will dominate the internet by 2014
    Gartner 2009.

I’m not completely convinced about Chinese domination – but I agree that the Internet will become strongly multi-lingual as the rise of China and Brazil continues.  In any event, we all now live in a world of BIG data. Data that is growing annually by orders of magnitude and is moving to mobile/embedded devices that generate real-time multimedia data. On the other hand, IT skilled people – those with the skills most likely to handle data growth – are only predicted to grow 1.4 fold over the same period. So there is an emerging massive skills shortage coming and we have four choices:

  • Do nothing. You wouldn’t be alone if this is your strategy.
  • Focus your current analysts on embedding their skills in a broad range of your staff.
  • Try to buy the skills by poaching staff from other organisations. This could get to be very expensive as you will likely to be in a bidding war with other organisations facing a similar skill shortage.
  • Use software that enables your analysts to handle vastly more data than they can today.

Just to complicate things, the era of the English/Western Internet is being supplanted by Chinese – a language that is impervious to processing by most of the current and emerging intelligence capabilities out of the US.

Personally, I see as our best hope a strategy that focusses on embedding analytic skills into the general business community. This greatly enhances analytics usefulness in the short term, whether-or-not you believe in the above trends. It will also buy us the time to see smarter software emerge that does the ‘heavy lifting’ of BIG (Chinese?) data for analysts. The analogy I used in my address was transportation and the London underground network. The actual network looks like the following:

The actual london tube map

It took Harry Beck in 1931 to analyse the London underground network and realise that the actual physical location of the station was less important than the information about how you can get to your destination.

Beck_map
This is exactly what analytics needs to achieve. I like to call this actionable insight.

If you have any doubts about the explosion in data we can expect, take a look a recent years. The Washington Post has created a created a graphic that shows how data grew from 1996 and 2007:

Washington Post Data Growth

After looking at the impact of these trends, I went on to discuss templates for both the analytic skills we need and how to best to organise your teams. I have posted about these topics previously here.

After the presentation there were questions from the floor and it was interesting to see that the questions could have come from any country. The problems and challenges discussed were exactly the same as I hear in other countries. It’s nice to know the we are all in the same boat.

 

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

augmented reality benefit the manufacturing industry
Artificial IntelligenceExclusiveVirtual Reality

How Can Augmented Reality Benefit The Manufacturing Industry?

8 Min Read
Image
AnalyticsBig DataData ManagementData WarehousingHadoopText Analytics

The Benefits of Semantic-Based Data Modeling in the Smart Data Lake Era

5 Min Read
Image
Decision Management

The Vital Role CIOs Play in Bottom-Line Growth

6 Min Read
In-Memory Databases
Business Intelligence

In-Memory Databases: Is it Time for Businesses to Shift from Disk Storage?

8 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?