DataFrameworks
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Structuring
Your
Data
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© 2008 DataFrameworks. All Rights Reserved.                     
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Solution
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Beneficial proof !
Here is the proof that by using DataFrameworks our customers have been able to increase production capacity and reduce costs by making it easier to find, manage and structure data.

Increase production capacity
Less time wasted on trying find and manipulate data means a more efficient work flow which simply results in the potential for increased production capacity without additional costs.

See opposite what our customers have achieved.

Reduced Capital Expenditure
In almost every organization the demand for data storage significantly increases faster than the corresponding reduction in the capital cost per Terabyte.  Couple this with the increasing complexity of the administration, management and facilities needed to cope with vast data storage banks, then any potential to reduce costs must be considered.

See opposite what our customers have achieved.


Reduced operating costs
Operating costs constantly increase. Any reduction is a must. DataFrameworks simplifies the administration and management allowing the redeployment of tasks thus reducing operating costs.

See opposite what our customers have achieved.
 

“DataFrameworks is both the catalyst and the tool to help put more on the bottom line...”




Click here to request more information to put more on the bottom line.
Structuring Data
Reduced Capital Expenditures
“Using DataFrameworks we've reduced our future storage needs by 40% or around $540K.  This is a direct result of providing the end users with more information about their disk consumption and empowering them to manage it.”
“Projections indicated that we would need at least 97TB at this point in time based on our workflow back in January 2005. We are now able to maintain production using only 58TB.”
Solution Benefits
- put more on your bottom line.
Increase production capacity
“Have we got storage capacity for this urgent new project ?”
Reduced operating costs
“On previous projects of this scale I've had 4-6 people doing data management. With DataFrameworks we are managing over 60TB with only 2 people.
“Visibility reduces engineering effort required to answer silly questions.”
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