Why archive JD Edwards data?

AI Readiness Starts with Trusted Data

Before organizations can take advantage of AI, they need confidence in their data.

Years of duplicate, obsolete and low-value information can make it harder to identify which data is relevant, accurate and trustworthy.

AI requires more than data — it requires trusted data

Data archiving helps create a cleaner, more manageable data landscape.

Data Governance – understanding the risks

For many years, organizations have taken the approach of retaining as much data as possible. While data can be valuable, retaining information indefinitely can increase complexity, cost and risk.

Data that no longer has operational value and is not required for legal, regulatory or business purposes should be reviewed as part of a structured data retention strategy.

Reducing your organization's data footprint can:

• Lower compliance risk
• Reduce exposure in the event of a security breach
• Improve agility and recoverability
• Simplify data management

A leaner JD Edwards environment is often easier to secure, maintain and restore.

What's the cost of inaction?

As data volumes continue to grow, so does the potential impact of a data breach.

The larger the quantity of personal, financial and transactional data an organization holds, the greater its potential exposure to regulatory penalties, compensation claims and reputational damage.

Effective data archiving and retention policies help organizations reduce both the volume of data they manage and the risks associated with retaining data longer than necessary.

Are you ready to understand your data?

Discover the volume, distribution and age of the data in your JD Edwards system.

Identify Archiving Opportunities with a Free Data Analysis

• Request a Data Analysis
  
  
• Talk to an Archiving Expert

How much data should you keep?

Three key points to discuss and agree with your Business Data Owners and IT department:

1.       The amount of data to keep in your live JD Edwards system

2.       The amount of data to keep in your archive JD Edwards system

3.       How old that data has to be before it is destroyed (purged) from your JD Edwards system.

How long should you retain the data?

The business utility of most records diminishes rapidly after their creation and use, and commonly drops to zero within a few years.

The majority of legally mandated retention periods are under 10 years.

Many organizations adopt a common retention approach across the business, although retention periods can vary depending on business requirements and applicable regulations.

Remember the archive data is accessible.

Retention dates can vary according to industry.

Many companies keep two years plus the current year.

Can you completely remove the data?

Organizations aren't required to keep all records and information indefinitely.

Once an organization no longer needs a record to meet operational or legal requirements, then that record or piece of information can be disposed of.

To completely remove the data, a second date for purging the data from the archive can be agreed.

For example, this could be data that is between seven and ten years old.

It’s important to note that country and industry specific legislation will apply to organizations.

A meaningful Data Retention Policy helps define:

• The amount of data that's kept in the live system
  
  
• The amount of data that's kept in the archive system
  
  
• How old that data has to be before it's destroyed.

What to look for in an Archive Product

Ease of Use

• Is the solution easy to use?
• Does it require extensive training?
• Is the interface intuitive?

Functionality

• Does it support the complete archiving lifecycle?
• Is the archive process auditable?
• Are rollback and recovery options available?

Integration

• Is it built into JD Edwards or a separate application?
• Do users need to leave JD Edwards to access archived information?

Deployment

• How much disruption should be expected during implementation?