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Education·Research · ANYSUPPORT · Internal support
National Institute of Forest Science
· ANYSUPPORT Customer Stories / National Institute of Forest Science

CUSTOMER STORY

Stable remote support for the research-information system and data work

Errors that researchers hit while registering project information, results and large files or querying statistics in the research information system are diagnosed remotely. Even across dispersed sites such as labs and regional experimental forests, checking PC settings and upload conditions keeps research administration on schedule.

ClientNational Institute of Forest Science
ProductANYSUPPORT · PC
Use TypeEducation·Research · Internal support

BACKGROUND

Background

UsersResearchersResearch administration staffInformation system operators

Challenge

Research data varies widely in file format and size, and research sites are geographically dispersed.

Key Objective

Diagnosis must cover data entry conditions and the user environment, not just plain system errors.

After

  • Less delay in research administration
  • Support for distributed research environments
  • Consultation, resolution and completion records are kept as standard history and used to improve operations

SCENARIO

Remote Scenario

Researchers

Researcher inquiries

Inquiry ID and consent record

Research administration staff

Inspect the remote environment

Session ID and agent record

Research administration staff

Verify upload and lookup conditions

Issue classification and resolution log

Information system operators

System usage support

Approval, handoff and change records

Detailed Scenario

Errors that researchers hit while registering project information, results and large files or querying statistics in the research information system are diagnosed remotely. Even across dispersed sites such as labs and regional experimental forests, checking PC settings and upload conditions keeps research administration on schedule. Diagnosis must cover data entry conditions and the user environment, not just plain system errors.

OPERATION

Security Controls

Security Controls

  • Distinguishing student and faculty users
  • Minimal viewing of academic and research information screens
  • File transfer policy controls
  • Retention of consultation history and outcomes

Operational Risks

  • The habit of connecting without user approval
  • The risk of agents viewing more of the screen than necessary
  • Quick remote fixes that leave no record of root cause or knowledge

PERFORMANCE

Recommended KPIs

Average incident handling timeBaselines and targets to be set from real operational data
First-contact remote resolution rateBaselines and targets to be set from real operational data
On-site visit replacement rateBaselines and targets to be set from real operational data
Time for users to resume workBaselines and targets to be set from real operational data

Rollout Phases

1. Design

The internal support scope, consultation coverage, connection paths and agent groups are defined.

2. Rollout

AnySupport is deployed for PC environments and the operating scenario is validated against the most common inquiry types.

3. Optimization

Consultation data is analyzed around average incident handling time and first-contact remote resolution rate, and the standard resolution playbook is expanded.

Is It Right for Your Company?

We'll propose a remote support model tailored to your industry, users, and security policy.

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