Technology — Data Storage & Manufacturing

How Western Digital unified Salesforce and ERP forecasting into one view — and finally got forecasts teams trust

Western Digital's sales teams needed to forecast across accounts, opportunities, and products while comparing to actuals stored in a separate ERP system. Salesforce's native UI couldn't bridge the gap. Valorx Fusion gave them a single workspace to forecast, compare, and sync — without switching systems.
Minutes, not hours
Time to adopt — familiar Excel UI
Salesforce + ERP
Unified in a single forecasting view
Weekly, monthly, quarterly
Flexible forecast periods in one workspace
THE PROBLEM

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Salesforce had the forecast. The ERP had the actuals. Nobody had the full picture.

Western Digital is one of the world's largest manufacturers of hard drives and data storage products — a business built on precision forecasting. When you're manufacturing physical hardware at global scale, getting the forecast wrong doesn't just affect pipeline reports. It affects production lines, supply chains, and inventory commitments worth millions.

Their sales teams needed to do something deceptively simple: view multiple accounts, opportunities, and products simultaneously — and forecast for future months while comparing to actuals.

The actuals lived in the ERP. The forecasts lived in Salesforce. And the two systems didn't talk to each other.

Salesforce's standard UI compounded the problem. Native list views displayed only a few fields at a time. There was no way to organize and display forecast information across different time periods— weekly, monthly, quarterly — in a single view. Teams couldn't model the complex forecast patterns their business demanded.

So they worked around it. They exported from Salesforce. They pulled from the ERP. They built spreadsheets that tried to bridge the two systems manually. Every forecast cycle meant hours of data assembly — and every assembled view was a snapshot that started going stale the moment it was finished.

With the standard UI in Salesforce, users were only able to view a list of a few fields — making it difficult to analyze accurate data. Without the ability to display forecast information across different time periods, we couldn't model the complex forecast patterns our business requires.
Sales Operations, Western Digital
WHAT THE FORECAST CYCLE ACTUALLY LOOKED LIKE (Before Valorx)
When
What Happened
Week start
Sales ops exports opportunity and product data from Salesforce
+ 2 hours
Finance exports actuals from the ERP system
+ 4 hours
Analyst manually aligns Salesforce forecasts with ERP actuals in Excel — different schemas, different granularity
+ 1 day
Builds time-phased view (weekly/monthly/quarterly) by manually pivoting data
+ 1.5 days
Distributes compiled forecast to sales managers for review
+ 2 days
Managers send back corrections via email. Analyst updates the spreadsheet.
+ 2.5 days
Analyst manually re-enters approved changes back into Salesforce
+ 3 days
Forecast is 'final' — but the ERP actuals have already moved

THE THREE PROBLEMS THAT MADE FORECASTING IMPOSSIBLE :

1. The Salesforce-ERP Gap

The forecast lived in Salesforce. The actuals — real purchase data, real shipments, real revenue — lived in the ERP. There was no native integration between the two. Every comparison required manual data pulls from both systems and painstaking alignment in spreadsheets.

Sales managers couldn't answer the most basic forecasting question — 'How does our forecast compare to what actually shipped?' — without days of manual work.

2. No Time-Phased Forecasting

Western Digital's business runs on time-phased forecasts: weekly production schedules, monthly revenue targets, quarterly business reviews. Salesforce's standard UI had no way to display forecast data across multiple time periods in a single view. Teams couldn't seethe progression from week to week or compare a monthly forecast to a quarterly aggregate without building custom reports from scratch.

3. Poor User Experience Killed Data Quality

When the forecasting workflow is painful, people avoid it. When people avoid it, data quality suffers. Western Digital' steams were stuck in a cycle: Salesforce was too cumbersome for real forecasting work, so teams did the work in spreadsheets — which meant the data in Salesforce was incomplete, which made Salesforce even less useful for forecasting.

Our ERP and Salesforce were not integrated, making it extremely difficult to analyze actual and future data together. The manual process left room for errors and created a poor user experience.
Forecasting & Planning, Western Digital
THE DECISION
Why Western Digital chose Valorx Fusion

Western Digital needed a solution thatcould bridge two completely separate systems — Salesforce and their ERP —without requiring a full integration project. They needed time-phasedforecasting views that Salesforce's native UI couldn't provide. And they neededa user experience familiar enough that adoption wouldn't be another barrier.

During the Fusion proof-of-concept, aWestern Digital analyst opened Excel, connected to Salesforce and the ERPsimultaneously, pulled opportunity data alongside actual purchase history, andbuilt a time-phased forecast comparing projections to actuals — across weekly,monthly, and quarterly periods.

Allin a single spreadsheet. All syncing back to Salesforce in real time.

The same view that previously took days toassemble manually was built in minutes. And because it used Excel — a toolevery team member already knew — there was no adoption curve to climb.

Valorx uses a familiar UI, so it doesn't take long for users to adopt. This enables users to focus on their projects rather than spending time learning a new program.
Sales Operations, Western Digital
THE SOLUTION
How Fusion bridges Salesforce and ERP for forecasting

Valorx Fusion connects Excel directly toSalesforce — and serves as the middleware layer that also pulls actuals fromthe ERP. Teams get a single Excel workspace where forecasts and actuals liveside by side, with real-time sync back to Salesforce. No manual exports. Nostale snapshots. No system-switching.

Key Capabilities

Forecast across any time period in one view

Build weekly, monthly, or quarterlyforecasts with aggregate customer and product data — all in a single Excelview. Compare time periods side by side, spot trends, and adjust projectionswithout switching between systems or rebuilding reports.

Compare forecasts to actuals — instantly

View Salesforce opportunity and productdata alongside actual purchase data from the ERP. No manual exports. No schemaalignment. The data is live, linked, and always current.

See multiple accounts, opportunities, and productssimultaneously

View and manage forecast data across dozensof accounts and hundreds of products in a single grid. Filter, sort, group, andpivot — the way you already work in Excel, but powered by live Salesforce andERP data.

Update forecasts in bulk, sync in one click

Adjust forecast numbers across multipleaccounts, products, or time periods simultaneously. Every change syncs back toSalesforce — no manual re-entry, no copy-paste errors, no version conflicts.

Data stays in Salesforce. Always.

Every forecast update syncs to Salesforcein real time. Validation rules, field dependencies, and security permissionsremain enforced. Fusion doesn't bypass governance — it works within it, whilegiving teams the flexibility they need.

THE RESULT
Before Valorx
After Valorx
Salesforce and ERP data manually merged in spreadsheets
Salesforce and ERP data unified in a single Fusion view
Forecast cycle took days of manual assembly
Forecast views built in minutes
Time-phased views required custom reports built from scratch
Weekly, monthly, quarterly views available instantly
Only a few Salesforce fields visible at a time
Multiple accounts, opportunities, and products visible simultaneously
Forecasts compared to actuals only after days of manual work
Real-time forecast-vs-actual comparisons
Teams avoided Salesforce — data quality suffered
Familiar Excel UI drove adoption and data accuracy
Errors from manual data entry between systems
Direct sync eliminated manual re-entry

WHAT THE TEAM SAYS

Users didn't need to learn a new program. They opened Excel, connected to Salesforce,and started working. Adoption wasn't a challenge — it was immediate.

Sales Operations, Western Digital

Valorxserved as the middleware solution for analysis — and then synced updated datato Salesforce. We finally had one place to do all the forecasting work.

Sales Operations, Western Digital

WesternDigital's forecasting capabilities were no longer limited thanks to Valorx.Users are now willing to invest the necessary time to ensure data accuracy andtimeliness

Forecasting & Planning, Western Digital
SEAMLESS INTEGRATION

Fusion connected Western Digital's existingsystems without requiring changes to either:

Salesforce (Sales Cloud): Allopportunity, account, product, and forecast data preserved. Standard and customobjects fully supported.

ERP System: Actual purchase andshipment data pulled into Fusion for side-by-side comparison with Salesforceforecasts. No changes to the ERP required.

Security & Permissions: Salesforce sharing rules, field-level security, and profile permissions fullyenforced within Fusion.

Reports & Dashboards: Existing Salesforce reports and dashboards now reflected more accurate, more current forecast data — because teams were actually updating Salesforce.

Downstream Processes: Supplychain planning, production scheduling, and inventory management all benefitedfrom improved forecast accuracy flowing through Salesforce.

No custom development. No complexintegration project. Fusion served as the middleware layer that bridged thegap.

KEY TAKEAWAYS

Forecasting requires the full picture. When forecasts live in Salesforce and actuals live in the ERP, you need a unified workspace — not manual merges.

Time-phased views aren't optional in manufacturing. Weekly, monthly, quarterly — if your forecasting tool can't display data across time periods, teams will build spreadsheets that can.

Adoption follows familiarity. Western Digital's teams adopted Fusion immediately because it uses Excel — the tool they already knew. No retraining. No resistance.

Data quality is a workflow problem. When forecasting is painful, people avoid it. Make it easy, and teams willingly invest in accuracy.