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How to Help Clients Define and Prioritize “Critical Data” in Plain Language

by Andrew Gono, IT Technical Writer
How to Help Clients Define and Prioritize “Critical Data” in Plain Language blog banner image
How to Help Clients Define and Prioritize “Critical Data” in Plain Language blog banner image

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Key Points

  • Identify and protect critical business data before backing up files, to prevent bloated recovery plans and wasted resources.
  • Explain critical data in plain language, using information that keeps their business running, ensures compliance, and maintains customer trust.
  • For relevance and efficiency, group data by department and not only by file type; label them as Critical, Important, or Non-essential.
  • Use intuitive prompts like “What would halt operations if lost?” to assess the operational and legal impact of data loss, then tabulate your findings.
  • Use pie charts, bar graphs, and matrices to visualize which data is protected and what’s at risk.
  • Include annual reviews in QBRs to update data mappings, adjust SLAs, and stay aligned with evolving business needs.

Clients often back up their entire file catalog without sorting out which data matters most. This leads to bloated recovery plans and extra overhead. Setting backup priorities improves fallback plans, but non-IT staff often need guidance on figuring out which files to put first.

Standardize critical data classification to streamline backups. This article explains how MSPs can help their clients define critical data for effective backup strategies.

For a quick visual overview, watch our video guide on How to Help Clients Define and Prioritize “Critical Data” in Plain Language.

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Backup critical data first for organized data storage

Backup priority should be tailored to your client’s business needs. Consider these key components to methodically identify and store critical data.

Use a plain-language definition

Critical data includes the essential information that enables day-to-day business operations. Clients rely on these files and documents for ongoing stability, compliance, and consumer trust. Even so, defining critical data can be a challenge for professionals managing a large client base.

Here are common examples of critical data for major industries:

Industry Business-critical data
Healthcare Patient records (Electronic Health Records / Electronic Medical Records), insurance claims, lab results, appointment schedules, and compliance logs
Finance Transaction logs, audit trails, loan records, and account data
Retail Inventory database, order log, supplier contacts, CRM, payment records, and employee payroll
Legal services Client communications, court filings, case files, and billing records
Real estate Listings, client contracts, legal disclosures, and property tax documents

Categorize by business function

Certain businesses value certain data types more than others. This becomes more specific at the department level, so advise clients to interview stakeholders to accurately determine which files are most important.

  1. Interview department heads (for example, Sales, Finance, and Operations).
  2. Group important data types by division.
    1. Customer-facing (CRM records, order history)
    2. Financial (Payroll, invoicing)
    3. Operational (SOPs, internal templates)
    4. Compliance (Tax filings, legal contracts)
  3. Rank each data type as:
    1. Critical: Immediate business impact if lost
    2. Important: Operational inconvenience
    3. Non-essential: Archival or low-risk

This simplifies importance ranking and is also a key step in managing multiple environments. Microsoft recommends building a proper data classification system to set security expectations and optimize data protection for a minimal attack surface.

Use mini business impact analysis (BIA) questions

Focus on keeping data that your client uses every day for operational continuity. To do this, run through data loss scenarios to determine the impact and discuss general compliance needs. This helps you refine your criteria further, putting the right data at the top of your backup list.

Ask clients:

  • “If this data were lost, how disastrous would it be for productivity levels (1-10)?”
  • “Would you face legal repercussions if this data were compromised?”
  • “What do you need for verifying invoices and fulfilling contracts?”

For auditability, tabulate your findings like so:

Business process Data type Operational impact
Invoicing Account data Critical
Customer support Chat records Important
Marketing Old campaign assets Non-essential

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Run lightweight scripting for visibility (optional)

Automate folder checks to know how much storage space you’ll need to back up and restore critical data.

Use Cases: Use this to tabulate critical data file sizes to anticipate cloud storage needs.

Prerequisites: Administrative privileges, Windows 10/11 operating system

  1. Note all file paths that contain critical data.
  2. Press Win + R, type PowerShell, and press Ctrl + Shift + Enter.
  3. Run the following:

Get-ChildItem "<filePath>" -Recurse |

Measure-Object -Property Length -Sum |

Format-Table @{Name="TotalGB";Expression={[math]::Round($_.Sum / 1GB, 2)}}

Replace <filePath> with a directory that stores critical client data (e.g., C:\Client\CriticalData)

Note: This PowerShell script helps calculate the total storage size of folders containing critical data. The result lets you estimate how much backup or cloud storage space will be required, making it easier to plan data protection and recovery strategies.

Visualize and communicate priority

Visualize critical data to make your client-facing reports more comprehensible and easier to understand. Consider using Remote Monitoring and Management (RMM) tools such as NinjaOne to generate QBR-ready visuals directly from dashboards.

Use these popular visual tools:

  • Pie charts: Show the distribution of data categories or device types, depending on your reporting setup..
  • Bar graphs: Compare data volumes across different departments.
  • Color-coded matrices: Visualize protection levels for each data type to manage risk levels effectively.
  • QBR summaries: Measure performance and find service gaps.

Revisit annually

Close your client presentation on critical data with a review checklist that tracks:

  • Yearly data mappings
  • Evolving business priorities that reclassify data types
  • Adjusted SLAs for backup and recovery
  • Accountability reviews

Annual updates align expectations, prepare clients for the next assessment, and build trust.

Best practices for retaining critical data with clients

Component Purpose and value
Plain-language explanation Defines business-critical data without confusing the client with IT jargon
Functional categorization Determines data importance based on how each department or function uses it daily
BIA-style prompting Digs deeper and refines backup priority criteria
Optional scripting Avoids manual labor and helps your team estimate backup size and costs
Visual summaries Use charts or dashboards to present data importance at a glance.
Recurring review Keeps data classification up-to-date and relevant to current business goals

Critical data mapping workflow, simplified

Use this summarized workflow to streamline backup prioritization:

  1. Meet with the client to match business types to essential documents and files.
  2. Use plain language to define data impact and assign labels.
  3. Run PowerShell scripts to estimate the needed storage space.
  4. Set critical backup cadence using defined schedules and recovery goals.
  5. Store findings and data tables in versatile documentation platforms.
  6. Review data types annually to align with changing business priorities.

Turn your clients’ data classification insights into clear IT decisions.

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Enhance backup priority with customizable storage options

Defining critical data with clients aligns protective security measures with business goals. Agree on what data counts as “critical”, probe deeper for comprehensive lists, automate storage forecasts, and regularly report on data classifications to keep strategies robust.

Related topics:

Quick-Start Guide

NinjaOne can assist with defining and prioritizing critical data for clients. Here’s some insights:

1. Vulnerability Management Approach:

NinjaOne offers strong vulnerability management tools that help clients identify and prioritize critical data:

The Vulnerability Importer allows clients to:

  • Import vulnerability data from various scanning vendors
  • Map device IDs and CVE IDs
  • Assess vulnerabilities across their IT infrastructure

2. Risk Prioritization:

NinjaOne uses CVSS (Common Vulnerability Scoring System) to help prioritize vulnerabilities:

Vulnerabilities are categorized by severity:

  • High: CVSS score ≥ 7
  • Medium: CVSS score between 4-7
  • Low: CVSS score between 0-4

3. Data Classification Support:

The platform helps identify different types of critical data, including:

  • Personally Identifiable Information (PII)
  • Controlled Unclassified Information (CUI)
  • Business-sensitive information
  • Regulatory compliance data (e.g., HIPAA, PCI-DSS)

4. Compliance and Security Features:

  • Vulnerability scanning and reporting
  • Patch management
  • Integration with security tools
  • Advanced search and insights capabilities

5. Recommendation:

Clients should use NinjaOne’s tools to:

  • Systematically identify critical data
  • Assess potential vulnerabilities
  • Prioritize remediation based on risk scores
  • Maintain ongoing vulnerability management

FAQs

Critical business data refers to files and records essential for daily operations, compliance, and customer trust. Prioritizing this data in backups helps MSPs avoid bloated recovery plans and ensures fast, reliable restores when it matters most.

MSPs can guide clients by using plain-language definitions, business function categorization, and impact-based questions. Interviewing department heads and ranking data by operational importance helps tailor backup strategies to real business needs.

Examples include:

  • Healthcare: Patient records, lab results
  • Finance: Transaction logs, audit trails
  • Retail: Inventory databases, CRM data
  • Legal: Case files, court filings
  • Real Estate: Listings, contracts, disclosures

These data types are vital for continuity and compliance.

MSPs can use a simple PowerShell script to calculate the size of folders containing critical data. This helps forecast cloud storage requirements, optimize backup schedules, and reduce unnecessary overhead.

Annual reviews ensure that backup priorities stay aligned with evolving business goals, compliance requirements, and system changes. This keeps data protection strategies relevant and effective.

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