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
    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
    data driven insights
    How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity
    8 Min Read
    pexels pavel danilyuk 8112119
    Data Analytics Is Revolutionizing Medical Credentialing
    8 Min Read
    data and seo
    Maximize SEO Success with Powerful Data Analytics Insights
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Componentizing Software
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Componentizing Software
Uncategorized

Componentizing Software

mfauscette
mfauscette
8 Min Read
SHARE

There’s a lot of pressure for change in the world of enterprise software, and many would argue that it’s much needed change. The growing availability of everything “as-a-service” is changing the way companies buy and consume software. In fact the Internet has impacted the way almost everything is distributed in some way. The more everything is connected the easier distribution becomes.

There’s a lot of pressure for change in the world of enterprise software, and many would argue that it’s much needed change. The growing availability of everything “as-a-service” is changing the way companies buy and consume software. In fact the Internet has impacted the way almost everything is distributed in some way. The more everything is connected the easier distribution becomes. Underneath this distribution shift though, several other things are also changing about the way software is being implemented or upgraded and the way it is being designed and built. I noticed a trend a few years ago,  just before the great recession. The trend, what I call modular consumption, accelerated during the recession as well.

So what do I mean by modular consumption? In the old days, you know, back in the 1990’s, most companies bought and deployed a full range of software products for running the business, including financials, human resources, supply chain, manufacturing, etc., mostly from a single vendor in a pre-integrated ERP suite.  In some cases best of breed or new and innovative software was added to the ERP suite, and in many cases that software was from a different vendor, but in general, the 1990’s were the days of the one vendor suite deployments. This happened for many reasons, most IT departments had operated in single vendor environments in the pre-client / server days and frankly, integration in the early client / server days was hard (actually I suppose integration is still hard, although much less difficult with the current crop of SOA-based apps). To get the advantages derived from integrated business processes it was necessary to get large, siloed applications to work together, and this was most easily accomplished by a single vendor suite. These full enterprise suites were / are by design behemoths with millions of lines of code and lots of process complexity developed in the waterfall methodology with a release cycle of years at best. They do after all, have to accommodate a broad swath of industries, at least coming reasonably close to providing an operating base for each company. On top of that base of course, most companies added customizations, extensions, and custom apps to meet the specific business needs. The whole mess (and I use that term with the greatest affection) was large, difficult to maintain and even more difficult to change. Flexibility, if attempted at all, was mostly a long and expensive process of modifying / customizing the existing suite and maybe adding / integrating a new application with some new required features and functions.

Software as a service, which is now a dozen or so years mature, has pushed on many of these paradigms, changing release cycles to weeks instead of years and offering pre-packaged integrations that could allow cloud based apps to work with traditional suites. The original SaaS apps were very feature focused around a single business area (sales force automation, talent management, travel and expense management, etc.). To meet these new, faster incremental release cycles many of the SaaS vendors have moved to an agile development model build around collaboration, iteration, process adaptability and team work.

More Read

The Second Coming… Can Time Inc. Save the Magazine Business and Make Magazines Measurable?
Please Don’t Let the Cloud Ruin SaaS
The Soft Costs of Information Quality
First Impressions
Mobile App Development: How to Choose Between Native vs. Web vs. Hybrid

As the economy has remained unpredictable and the depth of the recession combined with many other factors have taught IT organizations new behavior patterns. In the past IT projects were often broad and deep, with long time lines and broad changes. Companies are simply not changing out suites in broad rip and replace projects anymore, it’s not an affordable model. Instead, more and more, we see companies adding modules of functionality around the edges of existing systems to get greater flexibility and add new innovative functionality to meet changing business requirements. This new approach is modular consumption. As a service has spread outside of apps as well, and more and more, companies have the option of adding more granular modules of services as needed, including storage, security, development platforms, and even compute power. Up and down the software stack we see more and more granular modules or components that can be assembled to give greater flexibility while more rapidly addressing changing business needs. Business strategy, once a process that might be adjusted every few years is becoming operationalized and is driving the need for system and organizational flexibility. To meet this new level of nimble business strategy, software must become infinitely more flexible.

This brings me to this idea of componentization of software. Modules of functionality must be more granular and integration more “plug and play” to give businesses the ability to modify business strategies in near real time as competition drives this new level of flexibility. The Internet, global connectivity and changing expectations on the part of customers, partners and employees add fuel to this need. The days of the development project to accomplish what now needs to be ad hoc configuration have to change. Businesses can’t afford this approach and must have the capability to adjust strategy in an ongoing way. Information work is about ad hoc processes and teams, and the flexibility to adjust to this ad hoc approach has to extend to the underlying systems. The platform of the future must accommodate plug and play components that can, in lego-like fashion, be snapped together in a near infinite number of different configurations. We’re starting to see this type of approach, particularly below the apps layer in the stack, but also in application components sitting on an underlying platform that facilitates this new requirement of flexibility. No change in enterprise software will happen overnight, there simply is too much invested in legacy systems that are good enough to see a broad rip and replace approach. The componentization process though, will open up more opportunity to leverage the existing, aging core of functionality in new ways by adding the new capabilities around the edges. Eventually this will lead to new platforms and those new platforms will accelerate the changes, replacing the old suites with a new modular, flexible as a service infrastructure and SaaS process components that allow for the needs of flexible business strategies.

 

TAGGED:changecloudenterpriseerpsaassoftware
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (2)
Monitoring Data Without Turning into Big Brother
Big Data Exclusive
image fx (71)
The Power of AI for Personalization in Email
Artificial Intelligence Exclusive Marketing
image fx (67)
Improving LinkedIn Ad Strategies with Data Analytics
Analytics Big Data Exclusive Software
big data and remote work
Data Helps Speech-Language Pathologists Deliver Better Results
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

‘Ease of Use’ is Number One in Business Intelligence Selection Criteria

5 Min Read

What’s this button do?

4 Min Read

One Software CEO’s View on “Ease” Buyers vs. “Function” Buyers

4 Min Read

Voltaire, Apple, and the Myth of Perfect

4 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
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?