Case StudiesMedia Practice
03Media · Currency · Forecasting
Multi-Currency Forecasting & Optimization for a Major Broadcast Media Network
DataInc.ai designed and executed a 4-workstream consulting program to help a major broadcast media network assess, plan, and architect its transition away from Nielsen dependency — delivering a vendor shortlist, GCP architecture blueprint, and 3-month go-forward plan.
Currency AssessmentNielsen MigrationGCP ArchitectureVendor Selection4 Workstreams3-Month Plan
01
MCFO Phase 1 — Work Stream Overview
Design & PlanningWS 1
New Currency Assessment & Planning
Brian & Phil · Nielsen Dependencies
Nielsen AuditProcess MappingFRD Review
WS 2
New Currency Analysis
Roberto
Vendor EvaluationValue CaseShort-list
WS 3
Forecasting & Optimization Vendor Planning
Brian / Sergey
Vendor SelectionDDL / MYFOOnboarding
WS 4
Tech Solution Planning & GCP Architecture
Brian / Sandra
GCP DesignData PipelinesOperationalization
02
Work Stream Deep Dive
WS 01New Currency Assessment & PlanningBrian & Phil
→Nielsen Integration Audit: Document all current points of Nielsen integration with network systems and operational processes
→Process Requirements: Document ad sales and operations process changes required to transition to a new or augmented currency partner
→System Requirements: Evaluate existing FRD document prepared by Univision; identify initial requirements to transition to a new currency partner
→Cost Modeling: Identify cost areas and estimate enablement costs for new-currency partner transition
WS 02New Currency AnalysisRoberto
→Value Case: Confirm new currency value case and define use cases for the network
→Vendor Fit Framework: Develop evaluation framework for currency vendor fit — including representation of Hispanics, variability, and weighting
→Short-list: Collaborate with network and selected forecasting partner to short-list 2–3 currency vendors with highest likelihood of fit
→Data Coverage: Assess data coverage gaps for measurement baseline establishment
WS 03Forecasting & Optimization Vendor PlanningBrian / Sergey
→Business Objectives: Confirm product business objectives across DDL, MYFO Addressable, and Digital Addressable segments
→Vendor Assessment: Evaluate and select forecasting & optimization vendor; determine mapping to new currency partner
→Onboarding Support: Support onboarding of the selected forecasting and optimization vendor
→FRD Augmentation: Collaborate with vendor and network to augment Division FRD requirements for forecasting and optimization
WS 04Tech Solution Planning & GCP ArchitectureBrian / Sandra
→Requirements: Define functional and non-functional requirements for GCP architecture, driven by FRD
→Architecture Design: Collaborative design with selected vendor and Google GCP engineers for near- and long-term GCP architecture
→Pipeline Design: Design data pipelines supporting MCFO and enabling the forecasting/optimization vendor; integrate with downstream systems
→High-Value Use Cases: Near-term design for DDL new currency and initial operationalization recommendations
03
Deliverables Workplan
Work Stream
Month 1 — Assessment & Planning
Month 2 — Analysis & Design
Month 3 — Architecture & Ops
WS 1 · Currency Assessment
Nielsen audit · Process mapping · FRD review
Cost model · System requirements
WS 2 · Currency Analysis
Value case · Vendor framework
Vendor short-list · Data coverage assessment
WS 3 · Vendor Planning
Business objectives · Vendor assessment
Vendor selection · FRD augmentation
Onboarding & integration
WS 4 · GCP Architecture
Requirements gathering
GCP design · Pipeline architecture
Ops recommendations · DDL use case
04
Data Requests & Artifacts
P
Document
Description
Owner
1
Existing Reports
Current Nielsen reporting across campaign lifecycle; list of subscribed Nielsen products; current state documentation for measurement and forecasting
Client / Nielsen
1
Tech Diagrams
Current technical diagrams explaining the data workflow, campaign lifecycle, measurement and forecasting infrastructure end-to-end
Engineering
1
As-Is Process with Measurement
Process documentation for onboarding and running campaigns with measurement partners (Nielsen, Amoebee, etc.)
Ad Sales Ops
2
Architecture (Measurement)
Data architecture clarifying what is received/pushed and how — including data pipelines and data models related to measurement
Data Engineering
3
Data Onboarding
Instructions shared with measurement partners articulating data requirements and ingestion specs
Data Partnerships
3
GCP Access
Read-only GCP access to review existing services and data structures supporting current measurement workflows
IT / GCP Admin
05
Expected Outcomes
4
Concurrent work streams executed across assessment, analysis, vendor planning, and architecture
2–3
Currency vendor shortlist with framework-scored fit for audience representation
1
Unified GCP-native architecture blueprint replacing fragmented Nielsen-dependent infrastructure
Phase 1
Fully aligned go-forward plan with identified follow-ups, owner accountability, and data readiness
About DataInc.ai
DataInc.ai is the marketing data reliability platform built for enterprise teams with $5M+ in annual media spend. We monitor measurement pipelines across connectors, mapping, taxonomy, observability, and alerting — eliminating data risk before it impacts decisions.
Proprietary & Confidential · Media Practice · 2025