EPM, ERP, Cloud, and On-Premise: All Integration Options Explained

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
EPM, ERP, Cloud, and On-Premise
All Integration Options Explained (CON6754)
Kumaresh Sankar
Senior Director, Oracle EPM Product Development
James Clark
Group Manager of FP&A, Sims Metal Management Limited
October 2, 2017
Confidential – Oracle Internal

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 Oracle’s products remains at the sole discretion of Oracle.
Confidential – Oracle Internal 3

Program Agenda
Integration Overview
Cloud Integration
Hybrid Integration
Customer Story – Sims Metal Management
Q&A
1
2
3
4
5

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | Confidential – Oracle Internal 5
Integration Overview

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Cloud and Hybrid Integration Overview
Oracle EBS,
PeopleSoft, JDE, Fusion
APPs, SAP R/3
File
Excel
Other
Systems
Data Warehouse
Data Mart
EPM Cloud
As customers incrementally migrate to the
cloud, integration between on-premise,
EPM Cloud and other branded cloud
services becomes critical
Oracle and
Non-Oracle
Cloud

FDMEE for On-Premise & Hybrid
• Open Source - File, Open Interface, Universal data
Adpater
• Packaged Integration – EBS, Peoplesoft, JDE, SAP
• Integration with Oracle Cloud
• Extensible and Customizable
Data Management for the Cloud
• Open Source - File
• Packaged Integration – Oracle Cloud ERP, HCM,
NetSuite
• Integration between Oracle EPM Cloud Services
EPM Integration Solutions

EPM Cloud Integration Use Cases

• Specific format for each EPM cloud service
• Import/Export Data and Metadata
• Execute manually, schedule with UI or EPMAutomate/REST
• Drill-through not supported
Generate Data in Pre-defined format from Source
Provided by each EPM Cloud Service

• Any format
• Delimited, fixed width, multi-column, text, etc.
• Map data to transform from source
• Robust features provided to manage the data loading
workflow process
• Drill-through to source possible if HTTP:// landing page
available
• Use log files available from Process Details to investigate
issues
Generate data in Source format
Transform and load from any source use Data Management

• Includes GL Balances and Budgetary Control
• Write back as Standard Budget or Control Budget
• Drill-through automatically configured
• Oracle GL Cloud also available in Hybrid mode with FDMEE
• User/Password and WSDL for connection setup
Oracle GL Cloud to EPM
Pre-built Integration

• Predefined content for EPBCS – Workforce Planning
• Standard HCM Extract
• Pre-built mapping in Data Management
• Data only – user responsible for metadata
• Supports WFP and SWFP
• Customize pre-built integration if needed
• Framework for custom user defined HCM extracts
Oracle HCM Cloud to EPM

• Netsuite “Saved Search” available as integration source
• Any saved search - GL, AR, AP, etc.
• Production and sandbox environments
• Drill Through Supported
• Available now
• Netsuite early adopter approval required
Oracle Netsuite to EPM Cloud

• Synch data between EPM Cloud service instances
• Supported sources – PBCS, EPBCS, FCCS, PCMCS, TRCS
• Setup consistent with loading from a file
• Pick source, target, mapping, data load rule
• Drill available to Data Management
• Direct page links for PBCS and EPBCS
• Form or Dashboard with POV
Integrate data between EPM Cloud Services
Using Data Management

• Command line access for EPM Cloud applications
• Available for Windows and Linux
• Easily schedule .bat or .sh files
• Integrate with other scripts for end-to-end processes
• See documentation for full list of commands
Automate integration using EPM Automate
Standalone Utility installed in on-premise

Data Management and EPM Cloud Services
Release Highlights – October 2017
Oracle Confidential
Data Management
Included?
On-Prem to Cloud
Hybrid Support?
Export from cloud
or source for pod
to pod?
Load Text and
Multi -Col
Load Journals Integrate with
Fusion GL Cloud
PBCS Yes Yes Yes Yes NA Yes
EPBCS Yes Yes Yes Yes NA Yes
FCCS Yes Yes Yes Yes Yes Yes
ARCS Yes TBD TBD NA NA Yes
PCMCS Yes Yes Yes Yes NA Yes
TRCS (Tax) Yes TBD Yes Yes TBD Yes

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Hybrid Integration

Hybrid Implementation Support
• Financial Data Quality
Management, Enterprise
Edition (FDMEE)
– Recommended approach for
Hybrid Integration
• Easily integrate cloud and on-
premise applications
• Virtually any source or target
• Lift and shift your on-premise
Planning apps to the cloud
Oracle Confidential

• Register EPM Cloud application in FDMEE
• Looks and acts like on-prem application
• Drill-through from cloud natively supported
• 2-Way integration for PBCS, EPBCS and FCCS
• Extract from TRCS, ARCS and journals from FCCS on
roadmap
• Use scripting to extend to other services as needed
• Important tool to facilitate incremental move to cloud
On-Premise to EPM Cloud
Using On-Premise FDMEE

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |Copyright © 2017, Oracle and/or its affiliates. All rights reserved. |
Roadmap

Recent Highlights R&D Underway Looking Forward
For Event Use Only. The above 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 Oracle’s
products remains at the sole discretion of Oracle Corporation.
 Data Management
• Included in all services except EPRCS
 Text, Smartlist, Date support
 GL Cloud Integration
• Data, Drill, Writeback
• Budget and budgetary writeback only
 Netsuite
• Saved search and drill
 HCM Cloud
 Cloud Features Backported
• Available in 11.1.2.4.210
 Full Hybrid Support
• Including GL Cloud
 Convert to Simplified UI
 Metadata from a file
 HCM Cloud Metadata
 On-Premise release 11.1.2.4.220
 Additional Integrations
• Sales Cloud
• Projects Cloud
• Integration Cloud Service
• Database Cloud Service
• Integration with EDMCS
 Journal Extract from FCCS
 “Actuals” write-back to Oracle GL Cloud
 Export non numeric data
 Scripting
 Direct load – no map, no drill
Oracle EPM: Data Management
06/2017
Copyright © 2017 Oracle and/or its
affiliates. All rights reserved

Sims Metal Management Limited
Hybrid Approach to Integration –
On-Prem Consolidation and Cloud EPBCS
October 2, 2017

Copyright © 2017, Oracle and/or its affiliates. All rights reserved. | 23
IntroductionsJim Clark - Group Manager of FP&A, Sims Metal Management Limited
7+ years at Sims in a variety of accounting & finance functions
Experience with HFM/FDM for consolidations and reporting
Project lead for global implementation of ePBCS
Sims Metal Management Limited
World’s leading publicly listed Metal Recycler (SMM)
World’s leading Electronics Recycler (SRS)
Municipal Curbside Recycling (SMR)
Operations on 5 Continents

Sims ePBCS TransitionManufacturing organization
Source Systems
Multiple instances of 4 GL systems
Flat Files
EPM Current State
FDM Classic
On Prem – Hyperion Financial Management (HFM)
EPM Future State
On-Prem FDMEE 11.1.2.4.210
On-Prem HFM 11.1.2.4
Enterprise Planning and Budgeting Cloud Services(EPBCS)
Reconciliation Application

Integration Design
GL 1 GL 2 GL 3 GL 4

Application RegistrationTarget Applications in FDMEE
On-Premise - HFM Consolidation Application
Cloud - Enterprise Planning and Budgeting Cloud Services
Target App Type – Cloud
Enter Connection Details

Inbound Integrations
Multiple Source GL systems
4 GL systems
Flat Files
Source Integrations
Open Interface Adapter
Open interface adapter is essentially a generic staging table in the FDMEE repository
you can push or pull data to using any technology you like.
Universal Data Adapters
Register any database table or database view as a data source in FDMEE.

Inbound Integrations
EPBCS Data
Same 5 sources for Actuals
Another feed of Inventory data
Data for EPBCS at different level
Make use of Attribute Dimension
Leverage data in FDMEE staging tables

Open Interface Adapter
Allows execution of SQL against any relational data repository

Metadata Build
Locations and Import Formats
FDM Classic: 46 Locations, 46 Import Formats, 46 Import Scripts
FDMEE: 46 Locations, 9 Import Formats, 0 Import Scripts
Different SQL code for different entities
Deployed a flexible framework for execution of scripts
Custom class scripts for
corresponding source
system called
Function executed for
the entity for which
data load was
executed based on
location name
BefImport Event script
SQL code executed for
called entity and data
imported in FDMEE

Data Load Mappings/Transformations
Reviewed old mappings
Found patterns in the maps
1000’s of Explicit maps converted to LIKE maps
Manipulation of Segment values in Import Scripts
varValues in FDM Classic converted to Multi-dimension Maps
Maps based on Target Values
Opportunity for making maps efficient
Improves Performance in Data Loads
Less Maintenance
More Finance users driven

EXPLICITS maps with a pattern converted
to LIKE Map using wildcard

If/Else conditions in Import Script
converted into A Multidimensional map in
FDMEE

SQL Mapping based on the TARGET values

Data Synchronization – Hybrid
Support
Requirement
Move Budget and Forecast data into HFM application from EPBCS
Move Stats data into EPBCS from HFM
Build Import Format
Select Source & Target EPM Application
Create Location
Build Data Load Rule
Select Source Plan Type
Define source Filters in the web interface

• Challenges – Data Validation
– The process of comparing 2 (or more) sets of numbers to identify
discrepancies in order to ensure accuracy and data quality
• When Should Data Validation Be Performed?
– System Upgrades
– System Changes
• Redesigns
• Hierarchies
– Application Migrations
– New System Implementations
– Intersystem Reconciliations
• HFMEssbase
Data Reconciliation Approach - When?

• Traditional way of Validating data
– Printed reports
– Access database
– Excel workbooks
• Challenges
– Lacks Granularity
– Inefficient
• Manual end user execution
• Application performance
– Lacks auditability and version control
• When was the process run
• When were formulas changed
Data Reconciliation Approach – Why
?

• Bring data into a common interface (Import)
• Align data between the different sources (Map)
• Check variances (Report)
Data Reconciliation – How?

Questions and Answers

Safe Harbor Statement
The preceding 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 Oracle’s products remains at the sole discretion of Oracle.

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