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
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    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
  • 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

predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
How BI and Data Analytics Professionals Used Twitter in July
Top 10 Root Causes of Data Quality Problems: Part 4
How Artificial Intelligence is Transforming the Corporate World
How to Position Big Data

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

Technical architecture diagram and decision framework for ai-powered logo generation: design.com vs looka
AI-Powered Logo Generation: Design.com vs Looka
Artificial Intelligence Exclusive
Retailers Should Stop Treating Every Stockout as Equal -- AI-generated illustration
Retailers Should Stop Treating Every Stockout as Equal
Business Intelligence Exclusive
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild? -- AI-generated illustration
Best Vibe Coding Cleanup Specialists in the USA: Fix or Rebuild?
Development Exclusive
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity -- AI-generated illustration
Using Warehouse, Transportation and Order Data to Plan Distribution-Center Capacity
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Big Data Proves Mobile Is Where Your Audience Is: Where Are You?
Big DataBusiness IntelligenceData Management

Big Data Proves Mobile Is Where Your Audience Is: Where Are You?

6 Min Read
Need for Speed
Business IntelligenceData Warehousing

Need for Speed

5 Min Read
Data Design Principles
Best PracticesBusiness RulesData QualityData WarehousingOpen SourcePolicy and Governance

Data Design Principles

5 Min Read
ai causing cybersecurity threats
Artificial Intelligence

3 Ways AI Has Led to Horrifying Cybersecurity Threats

7 Min Read

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

The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

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?