Your Salesforce forecast is only as clean as the Leads, Contacts, Accounts, Opportunities, and Cases behind it.
ForecastGuard finds the dirty CRM data distorting your pipeline, remediates duplicate clusters in one click, and keeps Sales Cloud clean over time — so a $5M+ revenue sales team can trust the number it takes into the forecast call.
Native Salesforce experience · No data migration, no rip-and-replace · Your data never leaves your firewall
Sales Cloud data quality across your five core objects
Remediate the three lowest-scoring domains to recover weekly CRM reconciliation time.
| Domain | Completeness | Validity | Uniqueness | Accuracy | Score |
|---|---|---|---|---|---|
| Account Steward: A. Rivera |
62.0% |
41.0% |
38.0% |
74.0% |
52 ↓7 |
| Case Steward: Sales Ops |
75.0% |
75.0% |
100% |
75.0% |
79 ↓2 |
| Contact Steward: M. Chen |
50.0% |
83.3% |
46.0% |
98.6% |
59 ↑3 |
| Lead Steward: J. Okafor |
71.9% |
75.0% |
44.0% |
100% |
71 ↓6 |
| Opportunity Steward: Sales Ops |
89.3% |
58.3% |
47.0% |
75.0% |
61 ↓16 |
A clean-looking CRM is the most expensive kind of dirty.
The pipeline looks fine because nobody is checking. Meanwhile duplicate accounts inflate coverage, dead leads pad the funnel, and the same opportunity gets counted twice — until the forecast misses and no one can say why.
Find it. Remediate it. Keep it clean.
ForecastGuard is not a dashboard that tells you your data is bad and leaves you there. It identifies the true golden record inside a duplicate cluster, lets a steward remediate with one click, and gives leadership a reason to keep it clean every week.
See the real Dirty Data Index for your org
A DQ Health Score Card grades each of your five core objects on completeness, validity, consistency, uniqueness, timeliness and accuracy — so "the data is messy" becomes a specific, ranked, ownable number.
Golden-record matching across clusters
PDI's own master-data logic clusters duplicate Leads, Contacts and Accounts and identifies the single surviving golden record — the work an MDM project usually takes months to stand up, run natively against Sales Cloud.
One-click remediation — with a steward's undo
Merge a cluster in one click. Then keep true MDM steward control: unmerge every cluster at once, or unmerge a single cluster if a match was wrong. Remediation you can trust because it is remediation you can reverse.
A leadership dashboard that gamifies hygiene
ForecastGuard ranks each AE on the data quality of the pipeline they own — and surfaces who slipped this week. Clean data stops being an IT chore and becomes part of the Monday forecast-call ritual.
Make "whose data is worst this week?" a question with an answer.
The fastest way to clean a CRM is to put the cleanup back on the reps who own it. ForecastGuard's leadership view ranks each rep by how much of the cleanup queue they're carrying — then nudges the worst offenders with a Salesforce-native prompt and a one-click remediate, before the number goes into the forecast.
2,184 Lead records need cleanup across your team
Your team's Lead DQ is sitting at 57 / 100 composite — well below the org target of 85. Three reps are responsible for 71% of the cleanup queue. Nudge them to remediate their own data.
A native Salesforce experience. Your data stays behind your firewall.
ForecastGuard's interface is built on Salesforce Lightning Web Components, so it lives inside Sales Cloud the way your team already works. The heavy data-quality and master-data processing runs on a Secure Agent inside your own infrastructure — your CRM data is never sent to a PDI-hosted cloud.
Install the package
A managed package deploys the ForecastGuard Lightning experience into your Salesforce org. No data migration. No rip-and-replace.
Stand up the Secure Agent
A Secure Agent (Windows or Linux) runs inside your firewall. It does the matching and remediation compute where your data already lives.
Profile your five objects
Run a profile to produce your DQ Health Score Card and surface duplicate clusters across Leads, Contacts, Accounts, Opportunities and Cases.
Remediate & keep score
Stewards remediate clusters one click at a time, leadership tracks the AE ranking weekly, and the score trends up.
Designed to install in hours, not months
Traditional data-quality and MDM programs mean a multi-month services engagement before anyone sees value. ForecastGuard is built to go from package install to first DQ Health Score Card without a migration project — because the experience is native and the compute runs where your data already is.
Note: install timelines depend on org size, data volume and configuration. "Designed to install in hours, not months" describes the architecture; it is not a guaranteed timeframe for every environment.
Built by the data-quality firm enterprises already rely on.
ForecastGuard is new. The team behind it is not. It is built by Pacific Data Integrators on a data-management engine from a vendor Gartner has named a Magic Quadrant Leader for two decades.
Find out how dirty your pipeline really is.
Start with your own data. Download the benchmark, score your forecast risk, or have PDI walk your team through a live Forecast Integrity Check on your five core objects.
Be among the first Sales Cloud teams to run ForecastGuard.
