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: From BI to Enterprise IT Integration
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 > From BI to Enterprise IT Integration
Business IntelligenceDecision Management

From BI to Enterprise IT Integration

Barry Devlin
Barry Devlin
5 Min Read
SHARE

Autumn has arrived here in Cape Town and with it a slight chill in the air.  In a couple of weeks, I head up to Europe where spring is warming the land.  It’s a time of transitions.  And so it is too for the IT industry and BI in particular.

Autumn has arrived here in Cape Town and with it a slight chill in the air.  In a couple of weeks, I head up to Europe where spring is warming the land.  It’s a time of transitions.  And so it is too for the IT industry and BI in particular.

I’m presenting three seminars on the transformation of BI into Enterprise IT Integration in Europe: a half day each in Copenhagen and Helsinki (4 and 5 April) and a full two-day deep dive in Rome (11-12 April).  I started teaching these classes in early 2010, and as I review and update the contents, I’m struck by two impressions.  First, a lot has changed in the BI / Data Warehousing market in the past year.  Second, the new architecture, BI2, that I’ve been developing since 2009 continues to closely map the emerging technology. That’s hugely gratifying!

So, what are the big changes?  One is the exploding interest in “Big Data“.  Now, as I’ve discussed elsewhere, the name is a total misnomer–the stuff is neither necessarily big nor data in the strict meaning of the words–but, the interesting thing is how the concepts and technologies around this area have energized thinking about BI.  Pre-defined reports have become even less interesting in the face of innovative data mining and predictive analytics in the big data environment.  And the information we can use to gain analytic value has expanded in variety and volumes beyond our wildest dreams.

More Read

5 Smart Data Tips for New CIOs to Drive Business
German-Speaking Business Managers in Europe Need More Flexible, Self-Service BI
Your customers’ pockets – Thoughts for those who sell things…
Here’s how decisions and rules relate (and how to manage them)
Business Intelligence: Will 5G Boost Small Business Success?

Another important change has been the acquisitions of innovative start-ups, particularly in the analytic appliances field by both BI and other-than-BI giants–Netezza by IBM, Vertica by HP and Sybase by SAP to name a few. The acquisitions highlight the importance of these emerging technologies in a sea change in the way BI will be and increasingly is being delivered.

The third change is at the hardware level.  While much more is going on, two aspects are important to BI: the increasing number of cores in commodity processors and the move towards silicon-based data storage, whether on solid state disks or in memory.  Both of these trends suggest that internal database design approaches established since the 1970s are due for a big shake-up.

None of these trends is particularly new.  But their speed-up and convergence in the past year or so are rapidly pushing the BI environment to a tipping point–the architecture we’ve successfully used for over twenty years is rapidly being made irrelevant!  That architecture, dating from a 1988 paper that I co-authored, was based on business needs and technological solutions that were appropriate for their time.  Today’s bus-tech ecosystem is so different that I have been arguing for a number of years that we need to look beyond our current silos of operational systems, BI and office/collaborative systems to a new architecture that crosses all of IT.  This architecture, which I call Business Integrated Insight, proposes that we treat the entire information asset of the business as a single, logical entity–the Business Information Resource (BIR).

Such a change of focus has widespread implications for the entire IT support infrastructure.  The challenges are big, but the technology as it is emerging is enabling this change.  My European seminars describe the new architecture in depth, but, more importantly, link what needs to be done to current technologies and provides practical guidance on how to begin the transformation.

TAGGED:architecturebig data
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

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
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

ways affiliate marketers can use big data
Big DataExclusive

3 Ways Affiliate Marketers Can Use Big Data To Adapt To Competition

6 Min Read
big data helps religion
Big DataExclusive

What Does Big Data Say About Religion?

5 Min Read
Trading Industry
Big Data

The All-encompassing Role of Big Data in the Finance and Trading Industry

5 Min Read
data flow works
Big Data

How Data Flow Works In MQ Telemetry Transport (MQTT)

12 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

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?