Data Volume Estimation

Data Volume Estimation

Data Volume Estimation

Volume estimation projects collection size from custodian counts, mailbox and file share sizes, date ranges, and expected reduction from deduplication and culling. Estimates are refined as collection proceeds.

It produces the figures underlying cost projections.

Alternative Names:

Volume Estimation, Data Sizing

Why it Matters?

Estimation is the prerequisite to both budgeting and proportionality arguments, and it is frequently skipped in favor of proceeding and discovering the cost later. Sampling a few representative custodians gives a defensible projection quickly. Estimates should include expected reduction ratios from deduplication, threading, and culling, since raw collection volume overstates the review population substantially.

Frequently asked questions

How is data volume estimated?

How is data volume estimated?

From custodian counts and mailbox or file share sizes bounded by date range, with expected reduction ratios applied for deduplication, threading, and culling.

Why estimate before collecting?

Why estimate before collecting?

Because the figures support budgeting and proportionality arguments, both of which are unavailable once collection has already proceeded without them.