We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: SaaS aggregation and experimentation
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Mining > SaaS aggregation and experimentation
Business IntelligenceData MiningData WarehousingPredictive Analytics

SaaS aggregation and experimentation

TheodoreOmtzigt
TheodoreOmtzigt
4 Min Read
SaaS aggregation and experimentation
Photo by JeromeNicolas on Pixabay (https://pixabay.com/photos/dna-extraction-tuba-experimentation-5387059/)
SHARE

In his guest column, How Not to End Up as an Anachronism, Greg Olson, the founder and CTO of Coghead describes the SaaS dynamics and particularly the new SaaS startup-up dynamics. It is a wonderful read, in particular, if you like analogies. Here is a quick excerpt of his column:

“We are now at point where implementors of SaaS capabilities are being disrupted by newer SaaS capabilities. Services that are built largely from other services are a reality, and offer many clear advantages. The types of services that could be used in the creation of new services span the spectrum, from base infrastructure services to complementary high-level application services that can be composed or mashed up. Example services include: compute and storage services; DB and message-based queuing services; identity management services; log analysis and analytic services; monitoring and health management services, payment processing services; e-commerce services like storefronts or catalogs; mapping services; advertisement services; in addition to the more well-known business application services like CRM and accounting.

The move to SaaS applications built on SaaS is a much more profound shift than the move from on-premise applications to SaaS applications. The software industry is beginning to display characteristics that mimic the supply chains and service layering that are commonplace in other industries like transportation, financial services, insurance, food processing, etc. A simple set of categories like applications, middleware and infrastructure no longer represents the reality of software products or vendors. Instead of a small number of very large, vertically integrated vendors, we are seeing an explosion of smaller, more focused software services and vendors. The reasons for this transition are simple: It takes less capital and other resources to create, integrate, assemble and distribute useful software capabilities.”

In essence, with BIG companies like IBM, Google, and Amazon committing billions of dollars in infrastructure, SaaS start-ups and their financial backers can experiment very quickly with new business offerings and see what sticks. This is a dream for a venture capitalist: they don’t need to be experts in understanding the business, they simply need to apply a portfolio approach to have their basis covered: this is typical MBA fare and thus very easily understood by today’s VCs.

More Read

RightNow to acquire Social Software Platform Vendor HiveLive
RightNow to acquire Social Software Platform Vendor HiveLive
Predictive Analytics Makes DasCoin And Other Currencies Mainstream
Introduction to Data Mining
Actionable Information Management Principles: People
AI Developments Which Will Shape Our Future

The reason these big companies are investing so heavily is because they believe that the future is SaaS and Cloud Computing. When infrastructure investments are taking place by multiple, large and international players, you know that the business dynamics are about to change.
<–URL–>

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is that reliable eCommerce attribution depends on a unified, well-st
How eCommerce Data Teams Can Build Attribution That Holds Up
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the contrast between fragmented inherited data infrastructure (wh
Data Stack Consolidation as a Data Quality and Governance Strategy for Mid-Market Teams
Big Data Exclusive
Emergency responder and nurse reviewing tablet with data dashboards
Evaluating Workforce Assessment Tools: Looking Beneath the Dashboard at Psychometric Data
Exclusive Software
Flat editorial illustration: The article's core relationship is the brand protection response workflow: detection of a phishing o
Data & AI Architecture Focus: 6 Best Brand Protection Tools for Phishing and Impersonation
IT Security

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data, Big Payoff? Why Your Company Needs Data Literate Employees, Now
Best PracticesBig DataBusiness IntelligenceCulture/LeadershipData Management

Big Data, Big Payoff? Why Your Company Needs Data Literate Employees, Now

5 Min Read
Team Obama Mastered the Science of Mass Persuasion -- and Won
Predictive Analytics

Team Obama Mastered the Science of Mass Persuasion — and Won

6 Min Read
Silicon Valley: From Electronic Warfare to Big Data
Big DataBusiness IntelligenceCloud ComputingInside CompaniesITMarket ResearchMobilitySocial Data

Silicon Valley: From Electronic Warfare to Big Data

3 Min Read
Like Big Data, Operational Intelligence is Evolving to Deliver Right Time Value
Business Intelligence

Like Big Data, Operational Intelligence is Evolving to Deliver Right Time Value

5 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
How To Get An Award Winning Giveaway Bot
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?