What Would You Do With A Million Dollars?

First, you have to get the million dollars.  I can help.

My Customer Value team builds data virtualization business cases across a diverse range of projects and industries every day.

Along the way, we have developed an excellent data virtualization value knowledge base of relevant tools, metrics and return-on-investment approaches.

Recurring Data Virtualization Value Propositions

The typical business case value propositions we see across our customer base include some combination of:

• Sales/Productivity increase in the business
• Risk reduction (either company-wide, or on a project basis), Staff productivity increase (IT and/or business staff)
• Technology cost reduction (especially storage and software costs),
• Time reduction (which translates especially into increased time-to-market… thus gaining the advantages sooner).

 Some business cases are built to span multiple organizations, or even the entire company.  Others might be based on a particular project.

Example Data Virtualization Business Case

Here is an example of how we might approach a data virtualization business case in a labor-intensive data integration development project where ETL has historically been the solution of choice.

• Let’s say we have a team of 10 developers.  These are contractors costing $150K/year.
• How much time do they spend in integration work?  Let’s say 80%.  That is effectively 8 people.
• How much of this work is potential candidate opportunity for Composite?  Let’s just guess 60% (it can be much higher, but let’s be conservative).  This is 60% of 8, which is about 5 FTE’s.
• Composite’s unique data virtualization development capabilities increase productivity in the ranges of 3X to 12X, depending on many factors.  This is demonstrated over and over again by companies who are leaders in their industries.  Let’s say we get a conservative 3X faster from our team of 5 FTE’s on our target project.  This is like freeing up over 3 FTE’s to work on other things!
• Thus, the cost savings (or opportunity cost as some call it) is probably at least 3 * $150K or close to $500K per year.
• Now, if you add up the # of terabytes being replicated for these types of projects and calculate the cost at some reasonable number you get a infrastructure cost savings (many customers use at least $80K/year/TB for the first year; assuming that ROI generally occurs in the first year).

So far we have well over a half million dollars in cost savings alone.  And we haven’t yet considered the business value of the project itself. 

Let’s say the business estimates this project will deliver $1.6M each year in business value as determined by their original project request justification. In this case use of Composite delivers the project in 6 months… 3 months earlier than the best alternative method.  This is $400K in “accelerated business value.”  

Between cost savings and business value acceleration, data virtualization presents a one million dollar opportunity!

Let’s Build Your Business Case For Data Virtualization!

Does your organization have projects in the pipeline where saving time, saving cost, and accelerating business benefits of this magnitude are important?

If so, let’s team up to build your million dollar business case.