By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    football analytics
    The Role of Data Analytics in Football Performance
    9 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: People, Process & Politics: Business & Integration
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: Business & Integration
Uncategorized

People, Process & Politics: Business & Integration

RickSherman
Last updated: 2009/06/24 at 1:04 PM
RickSherman
6 Min Read
SHARE

People_process_politics In our previous post People, Process & Politics: Stop the (Integration) Madness we discussed how we have promoted integration silos by  fragmenting those efforts across organizations, applications and projects.

Ending the integration silo cycle requires a fundamental change – viewing data integration holistically. From an architecture level, we need to view all the pieces: information, data, technology and product. More importantly, we need to view data integration from political and organizational perspectives. Most IT projects fail due to people problems, not because of technology.

To establish data integration as a business asset, you need to create the following:

  • Business and IT case for viewing data integration as a fundamental business problem that needs to be addressed
  • Integration investment portfolio with data integration as an infrastructure project across all business and IT groups
  • Integration Competency Center (ICC)

Creating the Business and IT Case for Data 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

The business is investing in projects and applications that require data integration, but historically these are disjointed projects that have created data silos …

People_process_politics In our previous post People, Process & Politics: Stop the (Integration) Madness we discussed how we have promoted integration silos by  fragmenting those efforts across organizations, applications and projects.

Ending the integration silo cycle requires a fundamental change – viewing data integration holistically. From an architecture level, we need to view all the pieces: information, data, technology and product. More importantly, we need to view data integration from political and organizational perspectives. Most IT projects fail due to people problems, not because of technology.

To establish data integration as a business asset, you need to create the following:

  • Business and IT case for viewing data integration as a fundamental business problem that needs to be addressed
  • Integration investment portfolio with data integration as an infrastructure project across all business and IT groups
  • Integration Competency Center (ICC)

Creating the Business and IT Case for Data Integration

The business is investing in projects and applications that require data integration, but historically these are disjointed projects that have created data silos scattered across the enterprise. Someone needs to recognize that this is a systemic problem that needs to be addressed in order to better use IT investments and, more importantly, get the information needed by the business to manage the enterprise. The data integration problem needs an out-of-the-box approach that looks at the problem in a holistic manner.

There are two key justifications for taking a new approach towards integration:

  • From a cost perspective, disjointed efforts will be more expensive and time consuming than a coordinated enterprise integration strategy
  • From a benefit perspective, disjointed efforts are not likely to deliver the information an enterprise needs (the proof is in the current data silos scattered in an enterprise)

There are three steps to enlisting the business support to move forward.

1. Get an evangelist to see the big picture – The first step in this journey is getting help from someone who sees the forest, not just the trees – someone who recognizes the need for change. This is usually an IT person involved in existing data integration efforts who sees the redundancy in data integration projects and understands the business benefit of eliminating it. This person becomes the data integration evangelist who preaches that there is a problem and that something must be done about it. Not having significant budgetary authority and being located deep in the IT organization means that the evangelist generally cannot single-handedly change the momentum of the company.

2. Get a champion to move it up the chain – The next person in the chain to keep the fire going is a champion – someone higher in the organization visible to and respected by either the CIO or CFO. The evangelist enlists the champion to continue selling the vision further up the organizational hierarchy. The champion also may lack significant budgetary authority, but is often the person who creates the business and IT case for budget submissions to the CIO or CFO. The champion needs to justify the solid business case of establishing data integration as an infrastructure program, just as e-mail and networks are treated in most enterprises today.

3. Get sponsors involved – Finally, the crucial link to success is getting the sponsors, with both the CIO and CFO signed on, to treat data integration as an investment portfolio. There is a wide range of organizational approaches to this – from actually having a single data integration budget to a more realistic approach of budgetary reviews of all projects with data integration components. The budgetary reviews would eliminate redundant or conflicting efforts and, possibly, combine the data integration of multiple projects to enable more expansive and complete coverage.

Next Steps

Armed with the business case, sponsorship and funding you now need to organize your enterprise integration efforts. In our next People, Process & Politics post we will discuss organizational best practices.


Link to original post

RickSherman June 24, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Shutterstock Licensed Photo - 1051059293 | Rawpixel.com
QR Codes Leverage the Benefits of Big Data in Education
Big Data
football analytics
The Role of Data Analytics in Football Performance
Analytics Big Data Exclusive
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

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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?