Personal Data - Regulation, Control, and Removal: A Solution for GDPR Compliance for EBS

Personal Data – Regulation,
Control, and Removal: A Solution
for GDPR Compliance for EBS

2 ©2018 eprentise. All rights reserved.
Safe Harbor Statement
The following is intended to outline our general product direction. It is intended for information
purposes only, and may not be incorporated into any contract. It is not a commitment to deliver any
material, code, or functionality, and should not be relied upon in making purchasing decisions. The
development, release, and timing of any features or functionality described for eprentise’s products
remains at the sole discretion of eprentise.

 Origin
 Founded by industry veteran Helene Abrams who was Oracle’s first Applications consultant
 Who we are
 Product company supporting Oracle E-Business Suite customers’ needs for financial and operational change
 Oracle Gold Partner since 2007
 Patent for Consolidation Methodology, 2012
 Our current target markets
 Large global corporate organizations
 Cross-industry
 Our current product lines
 Four business transformation software product lines:
 Consolidation merges and harmonizes one or more disparate, differently-configured, database instances into a single, fully-
functional application
 Divestiture filters data when a company is carving out or selling off part of their business, to create a stand-alone fully
functional environment for the divested entity with a limited data set
 FlexField changes the financial chart of accounts to support standardization and increase reporting reliability retaining all
transactional history
 Reorganization changes or moves any configurations or set-ups and all related transactions. Reorganization is a broad category
and includes software solutions for merging or separating organization units, ledgers, inventory organizations, or legal entities,
calendar changes, currency changes, etc. Reorganization Software is used to comply with new regulatory or statutory changes,
new organization structures, entry into new markets, and to support mergers, acquisitions, or divestitures.
 New product lines
 Automated External Audit
 C Collection Analytics
 GDPR
 Does not violate Oracle Support Agreement
About eprentise

 Cost Recovery
 Cash Management
 Data Quality (Complete, Consistent, Correct)
 Profit Improvement
Other New Products: C Collection Analytics

Proven Out-of-the-Box Software Products
5

Copy, Change, Filter, and
Merge functionality
identifies and transforms
the required rules into
business functions
eprentise Transformation Solution
Ultimately Generates the Single Source of Truth for the Customer
 Transformation Engine
 Metadata transformation specific to product (documented
& undocumented)
 Knowledge acquired from product and process
 Converts all historical data in every module with 100%
accuracy.
 Process Automation to transform data from source to
target
 Executes rules in the right sequence to maintain relational
integrity
 Metadata Analysis
 Knowledge Repository – intelligent, learning and
building from each successive implementation
 Houses hundreds of thousands of rules
 Rules Engine
 Automated conflict resolution and data mapping
 Rules learned automatically during each
implementation

 One of many laws currently geared towards the overarching
objective of data protection in the European Union (EU) to
provide citizens with control over their personal data
 Relates to individuals in the EU. (It does not apply to data about
companies or other legal entities)
 Does not apply to personal data of deceased persons or legal entities
that are no longer in existence
 Applies only in the context when personal data is being used for
socio-cultural or financial activities. Anyone hosting such data will be
subject to strict requirements
 Consequences of noncompliance include significant financial
penalties
 Applies to a company if it processes personal data in the EU
or if you are formed outside of the EU but offering
goods/services to the EU, or monitor the behavior of
individuals in the EU
Who Does GDPR Affect?

 Any information that relates to an identified or identifiable living individual, as well as
pieces of information that collectively could identify an individual:
 Names
 Home address
 Emails (personal)
 Identification card number
 Location data (e.g., Location services on a phone)
 IP address
 Medical
 Cookie ID
 Of the above examples, the following have been designated by the GDPR as “sensitive”
personal data
 Racial, ethnic origin, political onions, religious or philosophical beliefs
 Trade-union membership
 Genetic data, biometric data
 Health-related data
 Data about one’s sexual life or sexual orientation
***There are additional requirements and levels of consent needed to process sensitive data
 Processors and Controllers of data are subject to the GDPR – entities who by either
manual or automated means collect, record, organize, structure, store, adapt, alter,
retrieve, consult, use disclose by transmission, personal data
 Payroll Administration
 Contact Databases
 Sending Promotional Emails
 Shredding documents with personal data
Definition of Personal Data

Guiding Principles for Data Protection*
/www.mckinsey.com/business-
functions/risk/our-insights/tackling-gdpr-
compliance-before-time-runs-out

Accessibility of Personal Data
https://www.nytimes.com/interactive/2018/05/20/technology/what-data-companies-have-on-you.html?emc=edit_th_180521&nl=todaysheadlines&nlid=304942070521

 UK vendor Silwood Technology has carried out some initial
research on five popular ERP applications only researching
on variations of Date of Birth, Social Security Number or Tax
ID:
 SAP : 90,000 tables, 900,000 fields, SSN appeared in more than 900
tables and Date of Birth in over 80.
 JDE: 5,000 tables,, 140,000 fields, SSN appeared in more than 170
tables, Date of Birth in more than 210.
 MS Dynamics: 7,000 tables,, 100,000 fields, SSN appeared in more
than 150 tables, Date of Birth in approximately 10.
 Siebel: 5,000 tables, 170,000 fields, SSN appeared in more than 14
tables, Date of Birth in more than 6.
 Oracle E Business Suite: 22,000 tables, 570,000 fields, SSN appeared
in 5 tables, Date of Birth in more than 40.
https://www.enterprisetimes.co.uk/2018/02/20/gdpr-compliance-is-the-task-getting-bigger-for-enterprises/
Why is Finding GDPR Data Hard?

 Personal data be held only so long as needed for the
purpose for which the data was collected
 Personal data may be necessary for future use or reporting
 Data, but not the identity of the individual, needs to be retained for
future use or analysis
 Personal data has no remaining use
 Each type of use requires specific consent
 eprentise GDPR Application
 Entering Retention Policy
 Entering and Tracking Consent Form
 Purging or Pseudonymization of Personal Data to Meet Retention or
Identification Criteria
 Reports to Monitor Activity
 Maintenance of Crosswalk Table
 Tight Integration with EBS Tables
eprentise Solution

eprentise GDPR Overview

Specifications – Usages and Consents

Specifications - Policies

 Required for restoration for legal/tax reasons
 Must be encrypted
 No personal information stored
 System-assigned person ID
 Person attribute ID – table and column system-assigned
number
Crosswalk Report

Filter on any Criteria and on Multiple Criteria
Specify
Retain or
Delete
Retention Policy – Purge by Period
Filter by Person, Customer, Employee, Supplier, etc.
Load Consent Form File

 Assign ownership of GDPR to a cross-functional task
force
 Define the scope of your GDPR program, determine
what needs to be ready first
 Determine data retention policies and develop usages
and consent forms and policies for pseudonymization
 Identify processes for keeping the inventory of personal
data current
 Use GDPR as a starting point to build records of every
personal-data processing activity
 Define data collection policies and determine processes
for monitoring and restoring personal data
Managing the Risk

 Proven technology
 Filter criteria used in divestitures to purge data
 Renaming technology used in consolidation and merges to resolve conflicts
 Software solution not migration or integration
 Full lifecycle from consent to data removal for complete GDPR
compliance
 Data is purged, not kept in an archive that could be compromised
 Rules-based software retains relational and data integrity
 Database rules understand all relationships in Oracle E-Business
Suite so all related personal data is either purged or renamed
 Crosswalk table maintains confidentiality by not containing any
personally identifiable data itself
 Reduced risk
Benefits of the eprentise Solution

 Implementation and Training
 Generally 5 days (remote)
 Custom Tables having PD
 Relationships identified by Customer
 License Fees for eprentise
 Monthly Subscription Fee
 Per user fee based on 0.5% of EBS users
 Minimum 5 users
 (i.e. 1000 EBS users = 5 GDPR users)
 Product Support Fee
 Monthly Subscription Fee
Prices

Thank You!
- One World, One System, A Single Source of Truth -
Helene Abrams
CEO, eprentise
habrams@eprentise.com
407.591.4950
Hosted by eprentise | www.eprentise.com | www.AgilityByDesign.com
For questions, you can also share them on EBS Answers:
http://www.linkedin.com/groups/EBS-Answers-4683349/about

Personal Data - Regulation, Control, and Removal: A Solution for GDPR Compliance for EBS

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