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On the contrary, causal analysis is a data saving approach.
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From a top-of-mind standpoint, it was a capital savings approach.
Those savers who make active decisions with their retirement savings approach 6% to 7%, on average.
This amount of savings approach the targets set by some MNOs.
Second, using dynamic parameters may be considered as a cost-saving approach.
The aim of negotiations after that would be to come up with new savings approaching $200 billion.
Add in the $9 billion savings mentioned above in automating benefits eligibility checking, and that's annual cost savings approaching $100 billion.
He developed a data-driven approach.
It's a data-hungry approach.
We might even return to a health savings account approach on the noncatastrophic side.
Tolerance to false positives provides large data space savings.
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