This sample calculator shows the levers behind a business case for Cogentric Enterprise Digital Brain. Describe your business, choose the business cases that matter to you, and see a modeled view of the value.
1 · Your business
Rough numbers are fine. They set the size of each business case.
2 · Business cases
Each one is a lever in the business case. Set the improvement you would assume; the starting values are illustrative.
Each business case sizes what the problem costs today, then applies the improvement you assume. Nothing here is a Cogentric benchmark.
Records created or changed each month × minutes of human work per record × loaded hourly cost.
4,000 records/mo* × 10 min × $55/h
Records changed × share that needs fixing after go-live × minutes to rework × hourly cost.
15% reworked × 20 min × $55/h
Margin deferred while new products wait to be channel-ready and new suppliers wait to be onboarded.
21 days × $10/product-day; 30 days × $500/supplier-day; 25% margin
Digital orders × order value × search failure rate × share of failures that become a lost order × margin.
$250 order · 12% failed search · 10% lost · 25% margin
Digital orders × share returned because the item did not match its data × cost per return.
2% data-caused returns × $30
Party records × duplicate or bad-record rate × yearly cost of each one.
8% duplicates × $10 per record per year
Program budget × share that is data work × overrun risk on that work. One time, kept out of the annual value.
30% data work × 25% overrun risk
Value is the cost of the status quo × the improvement you assume. Figures in mono are the illustrative starting values; revenue effects are converted to margin so the value is not overstated. *Volumes scale from your levers: records changed per month ≈ 1 in 30 products; new products per year ≈ 5% of products; new suppliers per year ≈ 1 per 2,000 products. Revenue in scope is used only for the share-of-revenue check.
of respondents spent one or more days per week resolving master data quality issues.
McKinsey & Company, May 2024of benchmarked ecommerce sites fail to adequately support users' search needs.
Baymard Institute, Apr 2026of organizations face duplicate records in their CRM.
Validity, May 2024of surveyed companies already live on their new ERP platform said costs exceeded their original budgets.
ERP user-group survey, Jul 2024Industry research, for context only. None of these figures is used in the calculator or describes what your business will see.
In discovery we replace every illustrative value with your own: volumes, time per record, loaded cost, search and return rates, duplicate rates, program budgets.
Together we agree a conservative, expected, and stretch improvement for each business case. Nothing is assumed for you.
A pilot on your data measures the baseline and the change, so the business case moves from modeled to measured.
Whatever seat you sit in, the conversation starts with your own data.