Module 05 – Comprehensive Analysis & Insights

Data Governance & Migration Strategy


Summary

Northwest Wealth Partners is entering a pivotal stage where accelerating growth, disconnected systems, and uneven operational practices are putting significant pressure on the firm’s infrastructure. With a client base now at 725 households, $1.8B in assets under management, and sustained double‑digit annual expansion, the organization the organization’s CRM, Orion, eMoney, and spreadsheet‑based processes are no longer sufficient to support scalable onboarding, planning, compliance, and reporting. The Data Governance & Migration Strategy addresses these challenges by establishing a unified framework for data quality, stewardship, validation, and system integration—ensuring the firm can scale without compromising its high‑touch client experience.

The analysis revealed significant data quality issues across all systems, including missing service tiers, inconsistent referral sources, duplicate households, incomplete planning inputs, custodial metadata gaps, and widespread spreadsheet dependency. These issues stem from unclear ownership, manual data entry, workflow bypassing, and inconsistent documentation habits across advisors, CSAs, planners, operations specialists, and compliance reviewers. Without intervention, these gaps create reporting inaccuracies, compliance risk, operational rework, and barriers to future automation.

To resolve these issues, the strategy introduces a comprehensive governance framework defining required fields, naming conventions, validation rules, and update frequency standards across CRM, Orion, and eMoney. A stewardship model assigns clear accountability to data owners and custodians, while a validation program implements automated checks and exception routing to maintain data integrity. The migration roadmap outlines a phased 12‑month plan—beginning with data audit and cleansing, followed by CRM restructuring, system alignment, spreadsheet consolidation, and finally BI deployment—to ensure stability and minimize disruption during transformation.

Together, these components create a scalable, governed data environment that supports accurate reporting, efficient workflows, and audit‑ready documentation. By strengthening data quality and system integration, Northwest Wealth Partners will enhance advisor capacity, reduce operational rework, improve compliance reliability, and position the firm for continued growth at 13–15% annually. This governance strategy lays the foundation for a modernized operating model capable of supporting both current demands and long‑term strategic expansion.


Data & Methodology

1. Data Sources (Provided by Northwest Wealth Partners)

  • For this Module
    • The Data Governance & Migration Strategy leverages a comprehensive set of operational, planning, compliance, and portfolio‑accounting data sources across Northwest Wealth Partners. Because the firm is fictional, these sources represent the types of data a real RIA would use to diagnose governance gaps and design a migration roadmap.
  • CRM (Client & Household Data)
    • Client demographics
    • Household relationships
    • Service tiers
    • Meeting notes and documentation
    • Tasks, workflows, and planning status indicators
    • Referral sources (inconsistently used)
      • Used to evaluate completeness, naming conventions, workflow compliance, and documentation accuracy
  • Orion (Portfolio Accounting & AUM Data)
    • AUM values
    • Account‑level metadata
    • Custodial feeds
    • Billing groups
    • Performance reporting
      • Used to assess reconciliation accuracy, metadata completeness, and cross‑system alignment
  • eMoney (Financial Planning Data)
    • Planning inputs (income, expenses, assets, liabilities)
    • Plan outputs and recommendations
    • Annual review updates
    • Meeting prep materials
      • Used to evaluate planning completeness, template consistency, and planner workload strain
  • Operational Spreadsheets (CSA, Advisors, Operations, Compliance, Marketing)
    • Onboarding trackers
    • NIGO logs
    • Transfer status trackers
    • Compliance documentation checklists
    • Marketing attribution data
    • Advisor planning trackers
    • Capacity calculations
      • Used to identify fragmentation, inconsistent fields, duplicate records, and manual touchpoints
  • Workflow & Process Data
    • Onboarding throughput
    • Custodial rework volume
    • Documentation exception rates
    • Sync error logs
      • Used to map process gaps and quantify operational strain
  • Organizational & Role Structure Data
    • Department responsibilities
    • Workflow ownership
    • Delegation patterns
    • Reporting lines
      • Used to assign stewardship roles and governance accountability

2. Data Cleaning & Preparation

  • Standardization Across Systems
    • Normalized CRM, Orion, and eMoney fields to consistent formats (dates, currency, dropdown values)
    • Standardized household naming conventions and account metadata structures
    • Aligned planning inputs to a unified data gathering template
  • Normalization of Operational Metrics
    • Consolidated onboarding, NIGO, transfer, and compliance logs into unified datasets
    • Standardized status labels across spreadsheets and CRM workflows
    • Removed inconsistent column names and free‑text fields
  • Duplicate & Missing Value Resolution
    • Identified duplicate households, contacts, and accounts across CRM and Orion
    • Flagged missing service tiers, referral sources, planning inputs, and custodial metadata
    • Reconciled conflicting spreadsheet entries maintained by multiple departments
  • Cross‑System Alignment Preparation
    • Mapped CRM households to Orion accounts and eMoney plans
    • Identified mismatches in AUM values, household relationships, and planning status fields
    • Created cross‑system comparison tables for validation rule design
  • Derived Fields Created for Analysis
    • Data completeness indicators (CRM, Orion, eMoney)
    • AUM reconciliation variance
    • Planning input completeness score
    • Documentation compliance score
    • Workflow compliance rate
    • Cross‑system consistency index

3. Analytical Methods

  • Data Quality Analysis
    • Calculated clients per advisor, clients per CSA, and planner workload using current headcount and household totals
    • CompareEvaluated missing values, duplicates, and inconsistent fields across all systems
      Assessed documentation timeliness and workflow adherence
      Measured cross‑system alignment between CRM, Orion, and eMoney
  • Governance Gap Assessment
    • Evaluated reporting lines, leadership span of control, and workflow ownership
    • Identified strucIdentified ownership gaps, process gaps, and documentation gaps using role‑based workflow mapping
      Analyzed manual touchpoints by position to determine where governance controls were weakest
  • System Integration Mapping
    • Analyzed responsibilities across advisors, CSAs, planners, operations specialists, and compliance reviewers
    • IdentMapped automated and manual data flows across CRM, Orion, eMoney, and spreadsheets
      Identified integration failure points (custodial feeds, planning sync, household mapping)
  • Stewardship Modeling
    • Modeled three‑year staffing needs based on capacity thresholds, client growth projections, and operational workload trends
    • Identified required additions across advisors, CSAs, planners, operations, and compliancAssigned data owners and custodians based on workflow responsibility and operational impact
      Built stewardship tiers (ownership → custodianship → operations governance → leadership oversight)
  • Validation Rule Design
    • Assessed workload intensity, capacity strain, and growth pressure across all roles
    • EvaluDeveloped automated checks for completeness, accuracy, and consistency
      Created exception routing logic tied to stewardship roles
      Designed daily, weekly, monthly, and quarterly validation cycles
  • Migration Sequencing & Risk Analysis
    • Compared advisor, CSA, and planner compensation ranges to regional RIA market data
    • Mapped incentive sPrioritized systems based on downstream impact and data fragility
      Designed a six‑phase migration roadmap (audit → cleanse → restructure → align → consolidate → BI deployment)
      Identified risks (advisor resistance, spreadsheet dependency, integration errors) and mitigation strategies

4. Assumptions

  • CRM is the primary system of record and must be stabilized before integration or BI deployment
  • Advisor documentation habits materially affect data quality, planning accuracy, and compliance readiness
  • CSA throughput is constrained by onboarding volume, custodial paperwork, and fragmented workflows
  • Planner workload strain increases with inconsistent data gathering and outdated plan inputs
  • Compliance reviewers maintain ~250–300 files/year before exception rates rise
  • Spreadsheet dependency introduces significant error risk and must be eliminated through workflow redesign
  • Governance enforcement, stewardship accountability, and validation automation will materially improve data quality
  • A phased 12‑month roadmap is required to implement governance without disrupting client service
  • As a fictional firm, NW Wealth Partners does not provide real data values; therefore, the methodology focuses on structure, logic, and governance design rather than numerical outputs


Data Inventory

Data & Data Sources

1. CRM (Client Data)

a. Primary Data Stored

• Client demographics

• Household relationships

• Service tiers

• Meeting notes

• Tasks & workflows

• Planning status indicators

• Referral sources (inconsistently used)

b. Key Issues

• Incomplete fields (service tier, referral source, household size)

• Inconsistent advisor documentation habits

• Manual entry leading to data quality risk

• Fragmented workflows across advisors and CSAs

2. Orion (Portfolio Accounting & Performance Reporting)

a. Primary Data Stored

• AUM values

• Account-level data

• Performance reporting

• Fee billing

• Custodial feeds

b. Key Issues

• Sync errors and manual reconciliation

• AUM discrepancies across advisor books

• Limited integration with CRM workflows

• Data inconsistencies during onboarding

3. eMoney (Financial Planning System)

a. Primary Data Stored

• Planning data (income, expenses, assets, liabilities)

• Plan outputs and recommendations

• Meeting prep materials

• Annual review updates

b. Key Issues

• Inconsistent data gathering inputs from advisors

• Planner backlog causing outdated plan data

• Manual updates leading to version control issues

• Limited alignment with CRM fields

4. Spreadsheets (Operational, Compliance, Advisor, CSA, Marketing)

a. Primary Data Stored

• Onboarding trackers

• NIGO logs

• Compliance documentation checklists

• Marketing attribution data

• Advisor-specific planning trackers

• CSA workflow logs

• Capacity calculations

b. Key Issues

• Siloed data across departments

• No version control

• High risk of errors and duplicates

• Not integrated with CRM or Orion

• Creates reporting inconsistencies and rework

Data Quality: Missing Values, Duplicates & Inconsistent Fields

1. CRM

a. Missing Values

• Missing service tier assignments

• Missing or incomplete referral source fields

• Missing household size and relationship mappings

• Incomplete meeting notes and planning status indicators

• These gaps reduce segmentation accuracy and weaken advisor‑level reporting

b. Duplicates

• Duplicate households created during onboarding when advisors or CSAs bypass workflows

• Duplicate contacts created when household relationships are unclear

• Reporting inflation and workflow confusion

c. Inconsistent Fields

• Referral_Source and Acquisition_Channel used inconsistently across advisors

• Service tier definitions vary by advisor

• Naming conventions differ across households and contacts

• These inconsistencies break segmentation logic and reduce dashboard reliability

2. Orion

a. Missing Values

• Missing account metadata during onboarding

• Occasional missing custodial fields due to sync errors

• These gaps create AUM reconciliation discrepancies

b. Duplicates

• Duplicate accounts when custodial feeds fail or are manually re‑entered

• These duplicates distort AUM totals and billing calculations

c. Inconsistent Fields

• AUM values differ from advisor book snapshots due to timing and manual adjustments

• Account naming conventions vary across custodians

• These inconsistencies require manual reconciliation

3. eMoney

a. Missing Values

• Missing planning inputs (income, expenses, liabilities) due to inconsistent advisor data gathering

• Outdated plan values when planners face backlog

• Missing values here directly affect planning accuracy

b. Duplicates

• Advisory-siloed entry avoids duplicates within eMoney

c. Inconsistent Fields

• Planning fields differ based on advisor input style

• Data gathering templates used inconsistently

• These inconsistencies reduce planning comparability across households

4. Spreadsheets

a. Missing Values

• Missing timestamps

• Missing workflow status fields

• Missing documentation completeness indicators

• These gaps make operational reporting unreliable and inconsistent across departments

b. Duplicates

• Duplicate rows across CSA onboarding trackers

• Duplicate planning logs maintained separately by advisors and planners

• These duplicates create conflicting operational metrics and complicate migration

c. Inconsistent Fields

• Column names differ across departments

• Status fields use inconsistent labels (e.g., “Done,” “Complete,” “Finished”)

• These inconsistencies make consolidation and migration more difficult

Data Governance Gaps

1. Ownership Gaps

a. CRM (Client & Household Data)

• No defined owner for service tier accuracy, referral source completeness, or household relationship mapping

• Advisors and CSAs enter data inconsistently, with no enforcement mechanism

• Operations Specialists act as CRM admins but lack authority to enforce standards

b. Orion (AUM & Account Data)

• AUM reconciliation responsibility is unclear between advisors and operations

• Custodial feed errors are handled ad hoc, with no formal owner for integration accuracy

c. eMoney (Planning Data)

• Planners own plan updates but rely on inconsistent advisor inputs

• No defined owner for ensuring planning data aligns with CRM fields

d. Spreadsheets (Operational & Compliance Data)

• Each department maintains its own trackers with no centralized oversight

• No owner responsible for version control, field consistency, or data consolidation

e. Impact

• Ownership gaps create data drift, inconsistent reporting, and unclear accountability for data quality

2. Process Gaps

a. CRM Workflows

• Advisors bypass workflows, creating duplicate households and missing fields

• No standardized process for updating service tiers or planning status

b. Onboarding & CSA Workflows

• Multiple spreadsheets track onboarding, NIGO, and custodial tasks with inconsistent fields

• No unified workflow across CSAs, leading to inconsistent cycle times and documentation accuracy

c. Planning Processes

• Data gathering varies by advisor, causing inconsistent planning inputs

• No standardized intake process for planners, contributing to backlog and outdated plan data

d. Compliance Processes

• Documentation review lacks integration with CRM workflows

• Exception handling is inconsistent and not logged uniformly

e. Impact

• Process gaps increase rework, reduce throughput, and undermine data reliability across systems

3. Documentation Gaps

a. CRM Field Definitions

• No documented standards for required fields, naming conventions, or update frequency

• Referral_Source and Acquisition_Channel fields are used inconsistently and not documented

b. Operational Workflows

• Onboarding, NIGO, and transfer processes lack formal SOPs

• CSA workflow documentation varies by individual, not department

c. Planning Documentation

• No standardized templates for data gathering or plan update notes

• Version control issues arise due to manual updates and inconsistent storage

d. Compliance Documentation

• Meeting note requirements are not documented clearly for advisors

• Audit exception criteria are not standardized across reviewers

e. Impact

• Documentation gaps prevent consistent execution, reduce training effectiveness, and create migration risk




System Integration

Automating Data Flows

Manual Touchpoints

1. Advisors

a. CRM

• Household creation

• Service tier assignment

• Meeting notes & follow‑up documentation

• Planning status updates

• Referral source entry

• Task creation & workflow updates

• Meeting prep data entry

• Plan update notes

• Follow‑up task creation

• Documentation cleanup

b. eMoney

• Occasional manual plan adjustments

• Uploading documents or meeting prep materials

• Minor plan data adjustments

• Uploading supporting documents

c. Orion

• Manual reconciliation notes when AUM discrepancies appear

• Account labeling corrections (rare but occurs during onboarding issues)

d. Spreadsheet

• Planning prep trackers

• Annual review prep notes

• Personal tracking sheets for client follow‑up

• Meeting prep checklists

• Follow‑up tracking logs

2. Client Service Associates (CSAs)

a. CRM

• Onboarding data entry

• Workflow status updates

• Account metadata fixes

• Documentation completeness checks

b. Orion

• Manual corrections to account metadata

• Notes during reconciliation of custodial feed issues

c. Spreadsheets

• Onboarding trackers

• NIGO logs

• Transfer status trackers

• Custodial paperwork logs

3. Planners

a. CRM

• Planning status updates

• Meeting prep notes

• Documentation accuracy checks

b. eMoney

• Full planning data entry (income, expenses, assets, liabilities)

• Plan updates

• Annual review prep inputs

c. Spreadsheets

• Data gathering templates

• Plan update logs

• Version control tracking for plan drafts

4. Operations Specialist

a. CRM

• Workflow configuration

• Field cleanup

• Data normalization

b. Orion

• AUM reconciliation

• Sync error resolution

• Manual adjustments to account metadata

c. Spreadsheets

• Consolidation of departmental spreadsheets

• Operational trackers

• Integration error logs

5. Compliance Reviewers

a. CRM

• Documentation checks

• Meeting note compliance tagging

• Missing documentation flags

b. Spreadsheets

• Audit exception logs

• Documentation review trackers

• Compliance checklists

6. Marketing

a. CRM

• Referral source cleanup

• Lead attribution updates

b. Spreadsheets

• Campaign tracking

• Lead funnel metrics

• Attribution logs

Data Quality Dashboard

*Current Data Note

Because Northwest Wealth Partners is a fictional firm, real data values for completeness, accuracy, and consistency are not available. Instead, this deliverable focuses on designing the dashboard framework, KPI definitions, and measurement logic that a real RIA would use once its systems were fully governed and integrated. For an actual firm, these KPIs would be populated automatically through CRM, Orion, eMoney, and operational workflow integrations, providing leadership with a live view of data health and governance compliance.

Purpose

The Data Quality Dashboard provides leadership with a unified view of CRM, Orion, eMoney, and spreadsheet data health. It monitors completeness, accuracy, and consistency across all core systems to support governance, migration, and reporting reliability.

Data Completeness KPIs

KPIDefinitionSource
Service Tier Completeness% of households with service tier populatedCRM
Referral Source Completeness% of households with referral source populatedCRM
Onboarding Field Completeness% of onboarding records with all required fieldsCRM + CSA spreadsheets
Plan Input Completeness% of plans with full data gathering inputseMoney
Documentation Completeness% of client files with required documentsCompliance logs

Data Accuracy KPIs

KPIDefinitionSource
AUM Reconciliation Rate% of households where CRM AUM matches OrionCRM + Orion
NIGO Rate% of onboarding paperwork submitted with errorsCSA spreadsheets
Transfer Rework Rate% of transfers requiring correctionCSA spreadsheets
Plan Documentation Accuracy% of plans with complete and correct documentationeMoney
Compliance Exception Countof documentation exceptions per periodCompliance logs

Consistency KPIs

KPIDefinitionSource
Naming Convention Compliance% of households following naming standardsCRM
Referral Source Standardization% of referral sources using approved valuesCRM
Workflow Compliance% of onboarding workflows completed in correct sequenceCRM
Data Gathering Template Usage% of plans using standardized templateseMoney
Cross-System Alignment% of households with matching fields across CRM, Orion, eMoneyAll systems

Dashboard Layout

Section 1 – Completeness

  • Gauges: Service Tier Completeness, Referral Source Completeness
  • Bar Chart: Onboarding Field Completion
  • Table: Missing Required Fields by System

Section 2 – Accuracy

  • Line Chart: AUM Reconciliation Rate
  • KPI Tiles: NIGO Rate, Transfer Rework Rate
  • Table: Compliance Exceptions by Category

Section 3 – Consistency

  • Bar Chart: Naming Convention Compliance
  • KPI Tile: Workflow Compliance
  • Heatmap: Cross‑System Alignment (CRM ↔ Orion ↔ eMoney)

Data Governance & Stewardship

Data Governance Framework

1. Data Standards

a. CRM Required Fields – All client and household records must contain the following fields before onboarding is considered complete:

• Household Name

• Primary Contact

• Service Tier

• Referral Source

• Household Relationship Mapping

• Planning Status

• Advisor Assignment

• Custodian & Account Metadata

b. eMoney Required Fields

• Income, expenses, assets, liabilities

• Planning assumptions (inflation, return expectations)

• Annual review date

• Plan completeness indicator

c. Orion Required Fields

• Account type

• Custodian

• Billing group

• Household mapping

• AUM values (synced and reconciled)

d. Data Type Standards

• Dates: YYYY‑MM‑DD

• Currency: USD, no commas, two decimal places

• Percentages: stored as decimals (0.15 = 15%)

• Boolean fields: Yes/No only

• Dropdown fields: must use approved values

d. Update Frequency Standards

• CRM household fields: updated at onboarding + annual review

• Planning data: updated at every plan delivery or annual review

• AUM data: reconciled weekly

• Compliance documentation: updated within 48 hours of meeting

2. Naming Conventions

a. CRM Household Naming

Format: LastName1–LastName2 Household

• Examples:

Smith–Johnson Household

Lee Household (single client)

b. Orion Account Naming

Format: Custodian – Account Type – LastName

• Examples:

Schwann – IRA – Patel

Fitelidy – Joint – Ramirez

c. Compliance & Planning Document Naming

Format: YYYYMMDD – Document Type – LastName

• Examples:

20240615 – Annual Review Notes – Chen

20240501 – Planning Update – Alvarez

d. CRM Workflow Naming

Format: Process – Subprocess – Version

• Examples:

Onboarding – Custodial Setup – v2.0

Annual Review – Prep – v1.3

e. Status Labels Standardization (All Systems)

• Approved values only:

Not Started

In Progress

Pending Client

Pending Custodian

Complete

• This eliminates inconsistent labels like “Done,” “Finished,” “Ready,” etc.

3. Validation Rules

a. CRM Validation Rules

• Service Tier Required: Cannot save a household record without a tier

• Referral Source Required: Must use approved dropdown values

• Duplicate Household Check: System must flag identical last names + address combinations

• Meeting Note Compliance: Notes must be entered within 48 hours or flagged

b. Orion Validation Rules

• AUM Reconciliation: CRM AUM must match Orion within ±0.5% or flagged

• Custodial Metadata Required: Accounts missing custodian or type cannot be billed

• Duplicate Account Detection: Flag accounts with identical account numbers

c. eMoney Validation Rules

• Plan Input Completeness: Plans missing income, expenses, assets, or liabilities cannot be marked “Ready”

• Annual Review Currency: Plans older than 12 months must be flagged

• Template Enforcement: Data gathering must use standardized templates

d. Spreadsheet Validation Rules (Transition Period Only)

• No Missing Timestamps: Rows without dates are flagged

• No Free‑Text Status Fields: Must use approved labels

• Duplicate Row Detection: Flag identical household + task combinations

Data Stewardship

Data Ownership

1. Advisors

a. Data

• Household relationships

• Service tier assignments

• Planning status indicators

• Meeting documentation quality

b. Data Assignment Purpose

• Advisors manage client relationships and planning delivery; their inputs drive segmentation, planning workflows, and compliance readiness

2. Client Service Associates (CSAs)

a. Data

• Onboarding data completeness

• Custodial paperwork accuracy

• Transfer and NIGO data

b. Data Assignment Purpose

• CSAs execute onboarding and custodial workflows and their data determines operational throughput and error rates

3. Planners

a. Data

• Planning data accuracy (income, expenses, assets, liabilities)

• Plan update completeness

• Annual review data currency

b. Data Assignment Purpose

• Planners maintain the planning system and their data drives plan quality and advisor meeting readiness

4. Operations

a. Data

• CRM workflow standards

• Field definitions and naming conventions

• Integration accuracy (CRM ↔ Orion ↔ eMoney)

b. Data Assignment Purpose

• Planners manage systems and workflows and they ensure governance rules are enforced across departments

5. Compliance Reviewers

a. Data

• Documentation completeness

• Meeting note compliance

• Audit exception criteria

b. Data Assignment Purpose

• Compliance reviewers ensure regulatory alignment and their data ownership protects the firm from audit risk

6. Marketing

a. Data

• Lead attribution

• Referral source standardization

b. Data Assignment Purpose

• Marketing manages acquisition channels and their data drives funnel reporting and growth strategy

Data Custody

1. Advisors

a. Data

• Meeting notes

• Planning status updates

• Referral source entry

• Household updates

b. Role

• Ensure timely and accurate CRM documentation

2. Client Service Associates (CSAs)

a. Data

• Onboarding fields

• Custodial metadata

• Workflow status updates

• NIGO logs

b. Role

• Maintain operational accuracy and reduce rework

3. Planners

a. Data

• Planning inputs

• Plan updates

• Data gathering templates

b. Role

• Ensure planning data is complete and standardized

4. Operations

a. Data

• CRM workflow standards

• Field definitions and naming conventions

• Integration accuracy (CRM ↔ Orion ↔ eMoney)

b. Data Assignment Purpose

• Planners manage systems and workflows and they ensure governance rules are enforced across departments

5. Compliance Reviewers

a. Data

• Documentation completeness

• Meeting note compliance

• Audit exception criteria

b. Data Assignment Purpose

• Compliance reviewers ensure regulatory alignment and their data ownership protects the firm from audit risk

6. Marketing

a. Data

• Lead attribution

• Referral source standardization

b. Data Assignment Purpose

• Marketing manages acquisition channels and their data drives funnel reporting and growth strategy

Data Stewardship Model


Data Migration

Purpose

Northwest Wealth Partners’ data environment is fragmented across CRM, Orion, eMoney, and dozens of spreadsheets. A structured migration strategy is required to move the firm toward a unified, governed, and scalable data model.

Data Migration Strategy

System Prioritization

1. CRM (Client & Household Data) – Priority 1

a. CRM is the foundation for:

• Household relationships

• Service tiers

• Planning status

• Meeting documentation

• Workflows

• Referral attribution

b. Reason for Priority

• CRM inconsistencies cascade into planning, onboarding, compliance, and reporting

• Fixing CRM first stabilizes the entire data ecosystem

2. Orion (AUM & Account Data) – Priority 2

a. Orion drives:

• AUM reporting

• Billing

• Performance

• Custodial feeds

b. Reason for Priority

• AUM discrepancies and sync errors undermine revenue accuracy and executive reporting

3. eMoney (Planning Data) – Priority 3

a. eMoney Contains:

• Planning inputs

• Plan outputs

• Annual review data

b. Reason for Priority

• Planning data is inconsistent due to advisor variability and

planner backlog

• Standardization is required before integration

4. Spreadsheets (Operational, Compliance, Marketing) – Priority 4

a. Spreadsheets store:

• Onboarding trackers

• NIGO logs

• Compliance checklists

• Marketing attribution

• Capacity calculations

b. Reason for Priority

• Spreadsheets introduce the highest error risk and must be consolidated or eliminated

Migration Phases

Phase 1

a. Data Audit & Mapping

• Inventory all fields across CRM, Orion, eMoney, spreadsheets

• Map required fields to governance standards

• Identify duplicates, missing values, inconsistent fields

• Document manual touchpoints by role

b. Outcome

• A complete understanding of the current data landscape

Phase 2

a. Cleansing & Normalization

• Standardize service tiers, referral sources, naming conventions

• Clean household relationships

• Normalize account metadata

• Remove duplicates across systems

• Correct missing fields

b. Outcome

• A clean, governed dataset ready for migration

Phase 3

a. CRM Restructuring

• Implement required fields

• Enforce naming conventions

• Rebuild workflows

• Apply validation rules

• Assign stewardship responsibilities

b. Outcome

• CRM becomes the authoritative source of truth

Phase 4

a. System Integration Alignment

• Reconcile CRM ↔ Orion household mappings

• Align CRM ↔ eMoney planning fields

• Fix custodial feed issues

• Implement cross‑system validation rules

b. Outcome

• Systems begin syncing cleanly and consistently

Phase 5

a. Spreadsheet Consolidation

• Replace departmental spreadsheets with CRM workflows

• Move operational trackers into CRM or Orion

• Centralize compliance logs

• Standardize marketing attribution

b. Outcome

• Eliminates manual errors and improves reporting reliability

Phase 6

a. BI Model & Dashboard Deployment

• Build unified data model

• Deploy Data Quality Dashboard

• Implement executive, advisor, operations, and compliance dashboards

• Establish monthly validation cycles

b. Outcome

• Leadership receives accurate, governed, audit ready reporting

Migration Risks & Mitigation

Risk 1

a. Advisor Resistance to Standardization

• Advisors may resist workflow changes or documentation requirements

b. Mitigation

• Training

• Clear expectations

• Demonstrate time savings

• Leadership enforcement

Risk 2

a. Incomplete CRM Adoption

• If advisors or CSAs bypass CRM workflows, data quality will decay again

b. Mitigation

• Required fields

• Validation rules

• Stewardship accountability

• Monthly data quality scorecards

Risk 3

a. Integration Errors (CRM ↔ Orion ↔ eMoney)

• Sync issues can cause AUM discrepancies and planning misalignment

b. Mitigation

• Weekly reconciliation

• Integration error logs

• Operations ownership

Risk 4

a. Spreadsheet Dependency

• Departments may continue using spreadsheets out of habit

b. Mitigation

• Replace spreadsheets with CRM workflows

• Enforce version control

• Remove redundant trackers

Risk 5

a. Compliance Gaps During Migration

• Documentation may fall behind during system changes

b. Mitigation

• Compliance reviewer oversight

• Required meeting note fields

• Automated documentation checks


Validation Programs

Purpose

Validation Program ensures that data entering CRM, Orion, eMoney, and operational workflows is accurate, complete, and compliant before it is used for reporting or migration. For Northwest Wealth Partners, validation is essential because rapid growth, inconsistent workflows, and heavy manual entry have created data drift across systems. This program establishes automated checks to prevent errors and exception reporting to surface issues for remediation.

Automated Validation Checks

Automated checks run continuously or on a scheduled basis to detect missing fields, mismatches, and data anomalies across systems.

System Validations

1. CRM Automated Checks

a. Required Field Enforcement

• Household cannot be saved without: service tier, referral source, advisor assignment, relationship mapping

b. Duplicate Detection

• Flag identical last name + address combinations

c. Meeting Note Timeliness

• Flag meetings without notes after 48 hours

d. Workflow Compliance

• Flag skipped steps or incomplete onboarding workflows

2. Orion Automated Checks

a. AUM Reconciliation

• Compare CRM AUM vs Orion AUM, flag discrepancies >0.5%

b. Custodial Feed Integrity

• Flag missing account numbers, missing custodians, or failed feed imports

c. Duplicate Account Detection

• Flag identical account numbers across households

3. eMoney Automated Checks

a. Plan Input Completeness

• Flag plans missing income, expenses, assets, or liabilities

b. Annual Review Currency

• Flag plans older than 12 months

c. Template Enforcement

• Flag plans not using standardized data gathering templates

4. Spreadsheet Transition Checks (Used only during migration period)

a. Timestamp Enforcement

• Flag rows missing dates

b. Status Label Standardization

• Flag non‑approved status labels

c. Duplicate Row Detection

• Flag identical household + task combinations

Exception Reporting

Exception reporting surfaces issues detected by automated checks and routes them to the correct data steward for remediation.

1. Exception Categories

a. Completeness Exceptions

• Missing service tier

• Missing referral source

• Missing planning inputs

• Missing custodial metadata

b. Accuracy Exceptions

• AUM mismatches

• NIGO errors

• Transfer rework

• Compliance documentation gaps

c. Consistency Exceptions

• Naming convention violations

• Workflow sequence errors

• Cross‑system field mismatches

2. Exception Routing (Who Fixes What)

a. Advisors

• Missing meeting notes

• Incorrect referral sources

• Incorrect planning status fields

b. Client Service Associates

• Missing onboarding fields

• Custodial metadata errors

• NIGO exceptions

c. Planners

• Missing planning inputs

• Outdated plan values

• Incorrect data gathering templates

d. Operations Specialists

• AUM reconciliation errors

• Integration mismatches

• Workflow configuration issues

e. Compliance Reviewers

• Documentation gaps

• Meeting note compliance failures

• Audit exceptions

3. Validation Cycle

a. Daily

• CRM required fields

• Meeting note timeliness

• Custodial feed integrity

• Duplicate detection

b. Weekly

• AUM reconciliation

• Workflow compliance

• Planning input completeness

c. Monthly

• Cross‑system alignment (CRM ↔ Orion ↔ eMoney)

• Compliance documentation audit

• Data quality dashboard refresh

d. Quarterly

• Full governance review

• Stewardship accountability review

• Audit readiness assessment


Data Governance 12-Month Roadmap

12-Month Implementation Timeline

1. Quarter 1 — Foundation & Standards (Months 1–3)

a. Objectives

• Establish governance rules

• Define ownership

• Stabilize CRM

b. Key Activities

• Finalize data standards (required fields, update frequency, data types)

• Publish naming conventions across CRM, Orion, eMoney, and documentation

• Implement CRM required fields and validation rules

• Assign Data Owners and Data Custodians

• Launch monthly Data Quality Scorecard

• Begin cleansing of service tiers, referral sources, household relationships

c. Primary Owners

• Operations Specialists (CRM configuration, standards enforcement)

• Advisor Services Leadership (documentation discipline)

• Compliance (meeting note standards)

2. Quarter 2 — Cleansing & Alignment (Months 4–6)

a. Objectives

• Normalize data across systems

• Eliminate major inconsistencies

b. Key Activities

• Clean and normalize CRM household records

• Reconcile CRM ↔ Orion household mappings

• Standardize planning inputs and templates in eMoney

• Remove duplicates across CRM, Orion, and spreadsheets

• Implement automated validation checks (completeness, accuracy, consistency)

• Begin spreadsheet consolidation (onboarding, NIGO, compliance logs)

c. Primary Owners

• Operations Specialists (cross‑system reconciliation)

• CSAs (onboarding data cleanup)

• Planners (planning input standardization)

3. Quarter 3 — Integration & Workflow Redesign (Months 7–9)

a. Objectives

• Strengthen system integrations

• Replace spreadsheet workflows

b. Key Activities

• Align CRM ↔ eMoney planning fields

• Resolve custodial feed issues in Orion

• Rebuild onboarding workflows in CRM

• Replace CSA spreadsheets with CRM workflows

• Implement workflow compliance validation

• Launch cross‑system consistency checks (CRM ↔ Orion ↔ eMoney)

c. Primary Owners

• Operations Specialists (workflow rebuild, integration fixes)

• CSAs (workflow adoption)

• Compliance (documentation integration)

4. Quarter 4 — BI Deployment & Governance Maturity (Months 10–12)

a. Objectives

• Deploy dashboards

• Finalize governance processes

• Finalize institutionalize stewardship

b. Key Activities

• Deploy Data Quality Dashboard

• Deploy Advisor, Operations, and Compliance dashboards

• Finalize Data Stewardship Model

• Launch quarterly governance review cycle

• Implement annual audit readiness process

• Document governance SOPs for all departments

• Transition governance responsibilities into BAU (business‑as‑usual)

c. Primary Owners

• Operations Specialists (dashboard data model, governance enforcement)

• Leadership COO (governance oversight)

• Compliance (audit readiness)