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
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Power of the Stack
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 > Power of the Stack
Business Intelligence

Power of the Stack

DougLautzenheiser
DougLautzenheiser
4 Min Read
SHARE

This week, I saw the power of the stack. Talking to local business people, I learned their business intelligence (BI) software decisions were influenced by earlier choices of stacks.

By “stack,” I mean that a single mega-vendor provides an integrated product group that meets all or most of a customer’s technology needs. If you went with the IBM stack, for example, you would have various hardware and operating system choices, the DB2 database, Cog…

This week, I saw the power of the stack. Talking to local business people, I learned their business intelligence (BI) software decisions were influenced by earlier choices of stacks.

More Read

The Low-Down on Analytical Data Integration
New IBM study on business analytics and optimization
What Enterprises Can Learn from Major Events and Surprises in 2011
Happy Data Privacy Day!
Stay At Home Servers (MSFT viral marketing attempt)

By “stack,” I mean that a single mega-vendor provides an integrated product group that meets all or most of a customer’s technology needs. If you went with the IBM stack, for example, you would have various hardware and operating system choices, the DB2 database, Cognos BI, WebSphere for the web tier components, and so forth. If you wanted the Microsoft stack, you would get the Windows operating system, SQL Server database, BI in the form of Reporting and Analytic Services, Internet Information Services for web, etc.

If your organization built custom applications, you might choose your stack based on the underlying operating system or databases — IBM, Microsoft, or Oracle. If you implemented a packaged solution, however, you would probably go with that ERP vendor’s stack — SAP or Oracle (more of a heap of applications than a stack: Oracle, Peoplesoft, JDEdwards, Hyperion, Siebel).

Automobile manufacturers have always offered these “mega-vendor” choices. Buy an Accord and Honda selects the components for you. While you can configure some options, you do not worry about the brand of radio, carburetor, cruise control, or security system. Your real decision is to decide upon a specific vendor — Honda, Toyota, Ford, Chevy, Porsche, and so forth — and then pick their specific product that best meets your needs — Accord, Civic, Element, Pilot, etc.

One of my enlightening conversations this week was with a company using the Oracle ERP and database products. When ready to start a new BI initiative, their strategic decision was easy: use whatever BI tools are provided by Oracle. The next day, I met with an organization ready to swap out their BI product. They decided to go with a purely Microsoft platform, which meant their existing “best-of-breed” reporting tool was no longer welcome.

These examples show an advantage to having a standard, single technology stack. When you want a BI product, you no longer research all of the available products, process RFI/RFP documents, watch vendor presentations and demos, do a competitive bake-off, work with the top vendor on a proof-of-concept, and then put together legal agreements. Instead, your incumbent mega-vendor just tells you which BI product you will use.

It also points out that making your initial stack decision is important. Buying the wrong car is a relatively painless mistake; deal with it for a few years and then replace it. Implement the wrong enterprise technology, however, and you might experience pain. In fact, if you picked the stack, you might be what is traded in for something different.

While some companies may still decide to use “best-of-breed” BI products that fall outside of the stack, most will go with mega-vendor choices — IBM, Microsoft, Oracle, or SAP.

http://BI-Software.blogspot.com (2008 November 14)

TAGGED:bibusiness intelligencecognosibmmicrosofttechnology stack
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

microsoft 365 data migration
Why Data-Driven Businesses Consider Microsoft 365 Migration
Big Data Exclusive
real time data activation
How to Choose a CDP for Real-Time Data Activation
Big Data Exclusive
street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

The World is Addicted to Data (and that’s good for us)

8 Min Read
business intelligence use in enterprises
Artificial IntelligenceBusiness IntelligenceCRMDecision ManagementKnowledge Management

Embracing Business Intelligence for a Better Tomorrow

5 Min Read

Request to Complete Howard Dresner’s BI Market Survey

3 Min Read
interpersonal skills in the age of AI
Artificial IntelligenceExclusive

Peak Irony: Interpersonal Skills In The Age of AI Are More Vital Than Ever

6 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
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
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?