MGMT 8525M Week 10 Decision Brief Example

Consolidate the Two Warehouses, With a Range, an Owner and a Trigger for Reversal: A Decision Brief Stating One Choice for an Operations Director, the Savings the Evidence Supports and What Would Bring the Decision Back

Student Name

Walden University

MGMT 8525M: Big Data Decision Making and Management

Instructor Name

Month Day, Year

Consolidate the Two Warehouses, With a Range, an Owner and a Trigger for Reversal: A Decision Brief Stating One Choice for an Operations Director, the Savings the Evidence Supports and What Would Bring the Decision Back

Decision and Recommendation

Decision required by March 31, 2026: whether Tallgrass Home Supply, a composite online home goods retailer, should consolidate its Reno and Sacramento fulfillment centers into a single expanded Sacramento site. Recommendation: consolidate, with the Reno lease ending in September 2026, subject to the reversal conditions below.

Expected Effect

[after]

The range, not a single figure, is what the evidence supports.

Table 1

Expected Annual Effect of Consolidation, With the Assumptions Behind Each End

The Evidence, Graded by Kind

The term's shipping analysis used 2.3 million orders from 2023 through 2025. Parts of the case rest on observed data: current costs at both sites, actual delivery times by ZIP code from each site and carrier invoices. These are strong. Other parts rest on projection: Sacramento labor costs after adding 140 positions, which assumes local wages hold, and future carrier rates, which the company does not control. The cancellation estimate rests on a natural comparison, a three-week period in 2024 when a carrier disruption added about a day to Nevada deliveries, which offers some evidence on how customers respond but in a different season. The brief grades the savings estimate as moderately strong and the cancellation estimate as weak.

Why a Range

Manski (2011) criticized what he called incredible certitude, the practice of presenting policy predictions with more confidence than the data and assumptions can support, and argued that analysts should report ranges that reflect what is actually known. Spiegelhalter et al. (2011) showed that communicating uncertainty clearly, rather than hiding it, helps decision-makers. A single savings figure of $1.8 million would have been easy to present and hard to defend.

Why Not Wait

Waiting a year for more data would mean renewing the Reno lease for three years, the minimum term the landlord offers, which locks in the higher-cost network until 2029. The decision is reversible only at that cost, which makes deciding now with a range better than deciding later with a point.

Reversal Trigger

The decision should be revisited if, by the end of the first full quarter after consolidation, average delivery time to Nevada and Idaho exceeds the current figure by more than 1.5 days, or if cancellations for those customers rise by more than 1 point. Either would fall outside the range above and indicate that a key assumption failed. Reversal would mean leasing a smaller Reno cross-dock. Tetlock and Gardner (2015) found that the most accurate forecasters update their judgments in frequent, modest steps as evidence arrives, and a dated trigger builds that habit into the decision.

Accountability

Owner: Director of Fulfillment Operations. Review date: January 15, 2027. Deliverable: a two-page report of actual savings, delivery times and cancellations against the ranges in this brief.

References

Manski, C. F. (2011). Policy analysis with incredible certitude. Economic Journal, 121(554), F261-F289. https://doi.org/10.1111/j.1468-0297.2011.02457.x

Spiegelhalter, D., Pearson, M., & Short, I. (2011). Visualizing uncertainty about the future. Science, 333(6048), 1393-1400. https://doi.org/10.1126/science.1191181

Tetlock, P. E., & Gardner, D. (2015). Superforecasting: The art and science of prediction. Crown.