By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    data Analytics instagram stories
    Data Analytics Helps Marketers Make the Most of Instagram Stories
    15 Min Read
    analyst,women,looking,at,kpi,data,on,computer,screen
    What to Know Before Recruiting an Analyst to Handle Company Data
    6 Min Read
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: People, Process & Politics: Stop the (Integration) Madness
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > People, Process & Politics: Stop the (Integration) Madness
Uncategorized

People, Process & Politics: Stop the (Integration) Madness

RickSherman
Last updated: 2009/06/18 at 12:47 PM
RickSherman
5 Min Read
SHARE

IStock_000006846616XSmall different teams In previous post “People, Process and Politics – We All Hate Data Silos, So Why do They Happen?” we discussed why we have set ourselves up to continually repeat history and build data silos. Like an episode of The Twilight Zone we seem to be hopelessly locked into an endless loop.

Enterprises have fragmented their integration efforts across groups, applications and technologies. The classic split has been between the groups developing data warehouse and business intelligence applications versus the ERP (enterprise resource application) applications. Typically each group uses different technologies: ETL (extract, transform and load) for DW and applications using either data virtualization (formerly EAI Enterprise Application Integration) or EII (Enterprise Information Integration) used. Add in SOA (service oriented architecture) initiatives for application integration and an enterprise integration efforts are spread across multiple projects with different sponsors, funding, resources and objectives that often overlap.

If that is not a big enough problem, our industry has assaulted enterprises with a barrage of “emerging” technologies that are supposed to solve various integration . …

More Read

big data improves

3 Ways Big Data Improves Leadership Within Companies

IT Is Not Analytics. Here’s Why.
Romney Invokes Analytics in Rebuke of Trump
WEF Davos 2016: Top 100 CEO bloggers
In Memoriam: Robin Fray Carey

IStock_000006846616XSmall different teams In previous post “People, Process and Politics – We All Hate Data Silos, So Why do They Happen?” we discussed why we have set ourselves up to continually repeat history and build data silos. Like an episode of The Twilight Zone we seem to be hopelessly locked into an endless loop.

Enterprises have fragmented their integration efforts across groups, applications and technologies. The classic split has been between the groups developing data warehouse and business intelligence applications versus the ERP (enterprise resource application) applications. Typically each group uses different technologies: ETL (extract, transform and load) for DW and applications using either data virtualization (formerly EAI Enterprise Application Integration) or EII (Enterprise Information Integration) used. Add in SOA (service oriented architecture) initiatives for application integration and an enterprise integration efforts are spread across multiple projects with different sponsors, funding, resources and objectives that often overlap.

If that is not a big enough problem, our industry has assaulted enterprises with a barrage of “emerging” technologies that are supposed to solve various integration problems. These solutions include Corporate Performance Management (CPM), Master Data Management (MDM), Customer Data Integration (CDI), Product Information Management (PIM), Enterprise Information Management (EIM) and many others. Each of these solves problems in specific domains but at their core they involve integration. Vendors selling solutions bundle integration technologies (the same as described above) with their solutions. The result is integration silos that create new data silos.

Admit It, You’ve Got a Problem

You must admit you have a problem before you can solve it. Many enterprises are blind to their integration silos. All they see is their investments in ERP, DW, BI, CPM, MDM, CDI, SOA and PIM applications and the resulting databases with terabytes of data stored in them. Smug with the knowledge that they have all the data that the business needs, they’re not even aware of the data silos surrounding them created by their integration silos.

At some point, they start noticing inconsistent data, which is a symptom of an integration silo problem. However, because they don’t understand the cause, they focus on relieving the symptoms with quick-hit solutions. For example, they may try to consolidate business intelligent (BI) tools. While this is a worthy goal unto itself, using a single BI tool will do nothing about the fact that the underlying data is coming from many disparate systems ERP, CRM, SCM, data warehouses, data marts) and is inconsistent. The business is not getting different numbers because it is using different BI tools, but rather because each tool is associated with a different database where the data had been transformed differently than the other databases. The BI tool used is the tip of the iceberg; the data integration issue is what is below the waterline.

Once you recognize an integration silo problem, you can think out-of-the-box on how to define, approach and attack it.

Next post on “People, Process & Politics” we will begin to discuss how to stop the integration madness.


Link to original post

RickSherman June 18, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

smart home data
7 Mind-Blowing Ways Smart Homes Use Data to Save Your Money
Big Data
ai low code frameworks
AI Can Help Accelerate Development with Low-Code Frameworks
Artificial Intelligence
data Analytics instagram stories
Data Analytics Helps Marketers Make the Most of Instagram Stories
Analytics
data breaches
How Hospital Security Breaches Devastate Local Communities
Policy and Governance

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

big data improves
Big DataJobsKnowledge ManagementUncategorized

3 Ways Big Data Improves Leadership Within Companies

6 Min Read
Image
Uncategorized

IT Is Not Analytics. Here’s Why.

7 Min Read

Romney Invokes Analytics in Rebuke of Trump

4 Min Read

WEF Davos 2016: Top 100 CEO bloggers

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

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?