Data Language
ProductsMaturity ModelsBlogNewsAboutContact
Floating Cubes
Problem

Surprisingly high Total Cost of Ownership (TCO) for Data Platforms

In the world of data platforms, it's not just the initial development cost that matters. The total cost of ownership (TCO) can be much higher, thanks to factors like maintenance, support, overheads, opportunity cost, unforeseen challenges, strategy changes during delivery, and upgrades.
Solved by these Interventions
Use SaaS to lower the Total Cost of Ownership (TCO)
Using SaaS (Software as a Service) products saves you from spending resources re-inventing the wheel, it reduces the cost of management, reduces time-to-market, and enables your team to focus on your core differentiators. If it is available to buy or rent, then don't spend your competitive advantage on rebuilding it.
Technologies used
Large Language Model (LLM) AI
KGaaS - Knowledge Graph as a Service
Enterprise Technical Architecture
Prevented by these Capabilities
Ease of systems integration
Ability to integrate quickly and easily with apps and business systems
Inhibits these Capabilities
Maintain a low cost of incremental innovation
To be competitive, and to have the ability to pivot rapidly, it is essential to keep the cost of innovation low.
Leads to these Problems
Software Development resource spent on non-differentiating features
Slow to capture new revenue opportunities
Slow to launch new products
Seen in these Maturity Models
Artificial Intelligence Engineering Maturity Model
Stage 4: Emerging: AI Data Science and Ops Capabilities - Maturity Stage
At this maturity stage, AI is pervasively used for some business models, and there is an emerging data science and AI ops capability. There are still likely to be pain points around ML training overheads process inefficiencies.
Artificial Intelligence Engineering Maturity Model
FAQs
What should I include in the Total Cost of Ownership (TCO) for a software platform?
  1. Resource costs for initial development - what is the dev team run rate?
  2. Team management costs - what does it cost to oversee the team?
  3. Hosting and commercial software - what licenses do you need to purchase?
  4. Support and maintenance - how do you manage issues and fixes?
  5. Unknown unknowns - what are the issues you will face when doing things for the first time?.