Book a Free Call
Service · CRM & ERP Migration

From legacy CRM to Salesforce, without losing a record.

Schema mapping, data cleansing, parallel-running, and a fixed cutover plan — we migrate from SAP, Oracle, NetSuite, Dynamics, and legacy Salesforce orgs without breaking your business.

Book an Integration Audit
Cutover Playbook
[ MIGRATION FLOW ] RUNNING Migration Pipeline Real-time data sync with full audit trail. 1 EXTRACT 2 CLEANSE 3 TRANSFORM 4 LOAD 5 VERIFY 1 EXTRACT 2 CLEANSE 3 TRANSFORM 4 LOAD 5 VERIFY STEP 01 Extract Pull records from source systems with full lineage and incremental change capture. SCANNING 2,481,720 rows SOURCE PostgreSQL TABLES 12 THROUGHPUT 12.4k rows/s STEP 02 Cleanse Remove duplicates, normalize formats, and reject invalid rows by validation policy. VALIDATING 360 removed · 99.4% pass user_id · email · phone VALID user_id · email · phone DUPE user_id · email · phone VALID user_id · email · phone NULL DUPLICATES 342 NULLS 18 QUALITY 99.4% STEP 03 Transform Apply schema mappings and business rules with versioned, declarative definitions. MAPPING FIELDS 45 → 38 · v3.2 first_nm last_nm phone_raw name.first name.last phone.e164 FIELDS 45 → 38 RULES 24 SCHEMA v3.2 stable STEP 04 Load Stream cleansed records into the target with idempotent batches and automatic retry. WRITING TO TARGET 68% · 02:14 elapsed TARGET BigQuery BATCH 5,000 THROUGHPUT 4.2k rows/s STEP 05 Verify Cross-check counts, hashes, and referential integrity end-to-end against the source. INTEGRITY CHECKS 4 / 4 passed Row count match Schema fidelity Hash integrity (SHA-256) Referential integrity CHECKS 4 / 4 MATCH 100% STATUS Passed
Anchor Migration - 1 - The Case
The Case

A good CRM cannot save a bad migration.

The Move

The move to Salesforce is worth it. Most migrations do not survive it.

Salesforce has been the world's number one CRM for 13 consecutive years and runs over 90% of the Fortune 500.1 If you are moving your data to it, you are moving to a platform built to run at your scale.

The problem is the move itself. Gartner reports that 83% of data migration projects miss their targets.2 More than half fail because of poor data quality or planning gaps that only surface once the data is in flight.

When a migration goes wrong, you lose more than time. You lose customer records and historical context. You lose the trust of every team that depends on the data to do their work.

Our Answer

That is where we come in.

We built our migration practice around a single principle. Your data is worth more than the platform holding it. Every record and every relationship stays intact from source to destination.

Our six-phase methodology catches these failures at every step. Discovery names the risks before we touch anything. Cleanse fixes data quality issues before they ship into production. Validation confirms the business can run on the new system before we hand it over.

You get to Salesforce with your history intact and your business still running.

Sources
  1. IDC Worldwide Semiannual Software Tracker, April 2026
  2. Gartner data migration research
Anchor Migration - 2 - Anatomy
What migration means

What moves in a migration.

A migration moves six categories of data.

Records

Customers, accounts, opportunities, cases, activity history.

Schema

Objects, fields, picklists, relationships, data types.

Security & Compliance

Sharing rules, profiles, permission sets, audit trails, encryption.

Business Logic

Workflows, approvals, validation rules, triggers, flows.

Integrations

ERP sync, marketing automation, BI feeds, third-party APIs.

Users & Adoption

User accounts, profiles, permissions, training, change management.

Anchor Migration - 3 - Journey (Desktop)
Migration Journey

Every migration follows the same six phases.

Discovery, design, cleanse, migrate, validate and hypercare. Each phase catches problems the next one cannot fix and pushes a migration forward. Our detailed Migration strategy keeps your business running while the data moves.

SOURCE SYSTEMS SAP Oracle Microsoft Dynamics Odoo Custom / Homegrown PIPELINE STEP 01 DISCOVERY STEP 02 DESIGN STEP 03 CLEANSE STEP 04 MIGRATE STEP 05 VALIDATE STEP 06 HYPERCARE DESTINATION Salesforce Records preserved Schema unified Zero data loss
01

Discovery

A full inventory of what exists in the source system before we touch anything.

  • Every table and field in scope documented with sample data
  • Business logic and integration dependencies mapped out
  • Data volume estimates and quality issues surfaced early
  • Migration risks and blockers identified upfront
Anchor Migration - 4 - Mitigation Strategy
How We Mitigate Risk

Where migrations actually go wrong.

Five ways migrations break, and the checks we run to catch each one.

  • 01

    Data loss during the switch

    Migrate
    What breaks

    A crash during the switch leaves the data in a broken state. Some records get lost, others end up disconnected from the rest of your data.

    How we catch it

    We keep the old system running alongside the new one, and check every record to make sure it made it across intact.

  • 02

    Data structure changes

    Design
    What breaks

    The old system keeps changing after we have planned the move. Fields that worked yesterday suddenly fail to transfer.

    How we catch it

    We lock the plan before building starts. Any changes after that need approval from your team.

  • 03

    Business downtime

    Migrate
    What breaks

    The switch takes longer than planned. Your teams cannot work, and revenue stops until the new system comes online.

    How we catch it

    We copy the latest data across before the switch, so the final changeover takes minutes. Your team sees a short pause instead of a lost day.

  • 04

    Compliance breach

    Every Phase
    What breaks

    Sensitive data like patient records or personal information gets moved without proper protection. When a regulator asks how it was handled, there is no clear answer.

    How we catch it

    Compliance sign off required at every step. We encrypt sensitive data with Salesforce Shield, and log every person who accesses it.

  • 05

    User adoption stall

    Hypercare
    What breaks

    Once fields get renamed and workflows change, your team quietly goes back to the spreadsheets they know how to use.

    How we catch it

    Extra support for the first thirty days after launch, plus training that shows your team the new system does what the old one did.

Data Quality

Clean data is half the migration.

A live scorecard of completeness, uniqueness, validity and timeliness — measured per source table, before and after we touch it.

  • Completeness 99.2%
    was 64% +35.2
  • Uniqueness 100%
    was 71% +29.0
  • Validity 99.7%
    was 82% +17.7
  • Timeliness 98.4%
    was 58% +40.4
Table
Rows
Dupes
Nulls
Validation
Status
Account sap · KNA1
12,408
0
0
99%
Ready
Contact sap · KNVK
23,769
0
0
100%
Ready
Opportunity oracle · OE.HEADER
5,802
0
0
98%
Ready
Order sap · VBAK
18,210
0
0
99%
Ready
Product netsuite · ITEM
4,140
0
0
100%
Ready
Cutover Playbook

Go-live, hour by hour.

A 48-hour cutover schedule executed to the minute — coordinated across data, ops, and clinical teams.

Cutover · Alpha Run

Friday 22:00 → Monday 06:00

In progress · 48h
  1. T−24h Thu 22:00
    OPS 2h

    Final delta extract from source systems

    Lock writes upstream; capture last-mile changes from SAP/Oracle since last sync.

  2. T−12h Fri 10:00
    DATA 4h

    Schema validation & freeze gate

    Rerun all DQ rules; sign-off from data steward and product owner.

  3. T−0h Fri 22:00
    CUTOVER 12h

    Bulk load to Salesforce production

    44k+ rows loaded via Bulk API 2.0 with checkpointing; Apex triggers temporarily disabled.

  4. T+12h Sat 10:00
    QA 6h

    Reconciliation & smoke test

    Row-count match, checksum verification, sample queries, end-to-end happy path on UAT.

  5. T+24h Sat 22:00
    OPS 2h

    DNS switch & user notification

    Email + SSO redirect; legacy CRM made read-only; staff guided to new login.

  6. T+48h Mon 06:00
    HYPERCARE 30 days

    Hypercare begins

    On-call Anchor engineer, daily reconciliation runs, and bug-fix SLA at 2 hours.

Reconciliation Report

Every record. Counted. Twice.

Post-migration sign-off pack — row counts, checksums, sample-record audits, and a clean auditor signature.

Sign-Off Pack · v1.0

Generated Mon 06:14 · 48h post-cutover

44,317 Total Rows
100% Match
0 Deltas
Object
Source
Target
Checksum
Δ
Account
12,408
12,408
a8f3…91c4
0
Contact
23,769
23,769
b1e2…44ff
0
Opportunity
5,802
5,802
7c12…0a99
0
Order
18,210
18,210
4e8b…d2a1
0
Product
4,140
4,140
9a3d…77e8
0
Auditor sign-off
Signed off Mon 06:14 · 2026-05-08
Mohammed Al-Rashid CIO · Client
Signed off Mon 06:14 · 2026-05-08
Sara Al-Otaibi Head of Migration · Anchor
FAQs

Questions, answered.

The things teams ask us most when scoping a Salesforce implementation.

KSA Priority
Can Salesforce integrate with legacy systems and local health exchanges?
Yes. Modern healthcare architectures rely on HL7 and FHIR standards to ensure data liquidity. Salesforce can act as a unified interface that sits on top of your existing Hospital Information System (HIS), allowing data to flow seamlessly between the clinical back-end and the patient-facing front-end.
How do you ensure data security and regional compliance?
Every deployment is aligned with KSA NCA ECC controls, SDAIA guidelines, and international standards including ISO 27001 and SOC 2. Data residency is maintained in-region, with encryption at rest and in transit, role-based access, and continuous audit logging.
What is the typical timeline for a digital transformation project?
Most mid-scope rollouts land between 8 and 16 weeks — discovery and design in weeks 1–3, iterative build and integration in weeks 4–12, and UAT plus go-live in the final phase. Enterprise programs with multi-cloud footprints typically run 4–6 months.
How do you support staff adoption and training?
We embed change management from day one — persona-based training tracks, in-app guidance via Salesforce In-App Guidance, Arabic and English documentation, and a 30-day hypercare window post go-live. Adoption metrics are reviewed weekly against baseline KPIs.
Scroll to Top