Hybrid Approach to Integration On-Prem Consolidation and Cloud EPBCS

Transcription

1 Business Analytics Solutions Provider Using Oracle EPM, BI, and BD Technologies NASDAQ: EDGW Hybrid Approach to Integration On-Prem Consolidation and Cloud EPBCS Seema Shah, Integration Manager Ankit Shrivastava, Senior Consultant

2 Agenda About Edgewater Ranzal and Integration team FDMEE - A Brief history FDMEE - Hybrid Approach Case Study Manufacturing Organization Lessons Learned and Next Steps Questions 2

3 Who Are We? Edgewater Ranzal is a full-service Oracle Platinum Consulting Partner with premier services in North America We deliver Business Analytics solutions that include Oracle Hyperion Enterprise Performance Management (EPM), Business Intelligence (BI) and Big Data technology Our multiproduct focus offers domain expertise and technical leadership using the Oracle Business Analytics Product Suite We have industry expertise and specializations to help us deliver end-to-end solutions for each client s business needs 3

4 Our Services Business Intelligence/Big Data Scorecards & Dashboards; Mobile Delivery Prepackaged Analytic Applications (OBIA) BI Foundation (OBIEE / Essbase) Financial & Operational Analytics Reporting & Publishing Big Data Information Discovery (Endeca) Business Intelligence Cloud Service (BICS) Financial Close & Consolidations Legal, Segment, & Mgmt Reporting Financial Performance & Close Optimization & Performance Lab Tax Provisioning Regulatory Requirements Data Integration Services Financial Close & Consolidations Business Intelligence/Big Data Enterprise Planning & Analytics Costing & Profitability Mgmt Enterprise Planning & Analytics Strategic Planning (HSF) & Modeling Planning, Budgeting & Forecasting Workforce, Capital, & Project Financial Planning Public Sector Planning Cloud Services Costing & Profitability Management HPCM Standard & Detail Models Waterfall Allocations Shared Service Charges Activity Based Costing Customer, Product, Segment & LOB Profitability Data Integration Services ERP Integration Financial Data Management Data Warehousing MDM & DRM ETL Services and Automation Infrastructure Hardware Sizing, Installation, & Configuration Exalytics Benchmarking System Monitoring, Backup, & Disaster Recovery Upgrade & Migrations Infrastructure Training & Support Services Advisory Services Advisory Services Project/Program Management & Process Change EPM & BI Road Maps Training & Support Services Standard & Custom Training Virtual Classroom Multimedia and UPK Service Level Agreements Managed Services & Hosting Performance Engineering 4

5 About Integration team Seema Shah Integration Manager More than 12 years of experience in Oracle Hyperion Suite Team of 18 Integration specialist focusing primarily on FDMEE, ODI, and DRM Ankit Shrivastava Senior Consultant Technical Expertise in FDMEE and DRM Functional Expertise in Financial Close Process 5

6 Agenda About Edgewater Ranzal and Integration team FDMEE - A Brief history FDMEE - Hybrid Approach Case Study Manufacturing Organization Lessons Learned and Next Steps Questions 6

7 What is FDMEE? Oracle introduced Financial Data Quality Management, Enterprise Edition (FDMEE) in version Functionality of ERPi and FDM merged FDM rebranded as FDM classic With version , FDM classic not available Provides integration capabilities within Oracle EPM suite Web based tool Extract, Load and Transformation logic Provides guided workflow for loading data Audit Capabilities with Drill Through 7

8 Agenda About Edgewater Ranzal and Integration team FDMEE - A Brief history FDMEE - Hybrid Approach Case Study Manufacturing Organization Lessons Learned and Next Steps Questions 8

9 FDMEE Hybrid Approach -What? Think On-Premise vs Cloud Data Load using Data Management available(fdmee in cloud) Hybrid support available starting with On-Prem FDMEE

10 FDMEE Hybrid Approach Why? Companies don t want all EPM products on cloud Incremental approach/waiting for products to mature Cost/Investment Reduce complexity/maintenance On-Premise FDMEE : Integration with Source ERP Systems Prebuilt Adapters Open Interface Adapters Universal Data Adapter Data movement across EPM applications(source/target) On-Premise to Cloud Cloud to Cloud Custom Scripting and Automation Integration with DRM(Data Relationship Management) 10

11 FDMEE Other Features With onset of.210 patch Text-Based Data Loads (All Data Types) in Planning Numbers Text Smart lists Date Multi-Column Numeric Data Multi-Period in Single File Hybrid Support for FCCS and Fusion GL Cloud balances Integration SAP HANA Based Data warehouse 11

12 FDMEE vs Cloud Data Management On Premises (FDMEE) Cloud (Data Management/Integrations) Flat file Processing Pre Built Connection to Oracle branded Ledgers Pre Built Connection to Oracle Fusion GL Pre Built Connection to SAP ERP & DW Direct Connection to relational data sources Mapping Multi-period Processing Data Synchronization (Hybrid Mode) Data Synchronization (Full Cloud Mode) Automation Import, Custom & Event Scripting Custom Reports Drill Through Textual data 12

13 Agenda About Edgewater Ranzal and Integration team FDMEE - A Brief history FDMEE - Hybrid Approach Case Study Manufacturing Organization Lessons Learned and Next Steps Questions 13

14 Case Study Manufacturing 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 On-Prem HFM Enterprise Planning and Budgeting Cloud Services(EPBCS) Reconciliation Application 14

15 Case Study - Integration Design 15

16 Application Registration Target Applications in FDMEE On-Premise - HFM Consolidation Application Cloud - Enterprise Planning and Budgeting Cloud Services Target App Type Cloud Enter Connection Details 16

17 Inbound Integrations Source GL systems SAI MS Dynamics AX MS Navision Great Plains 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. 17

18 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 18

19 Open Interface Adapter Allows execution of SQL against any relational data repository 19

20 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 BefImport Event script Custom class scripts for corresponding source system called Function executed for the entity for which data load was executed based on location name SQL code executed for called entity and data imported in FDMEE 20

21 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 21

22 Data Load Mappings/Transformations EXPLICITS maps with a pattern converted to LIKE Map using wildcard 22

23 Data Load Mappings/Transformations If/Else conditions in Import Script converted into A Multidimensional map in FDMEE 23

24 Data Load Mappings/Transformations varvalues script converted to Multi- Dimension maps in FDMEE 24

25 Data Load Mappings/Transformations SQL Mapping based on the TARGET values 25

26 EPBCS Data Clear/Aggregate - Challenge Calc Script execution not available out of the box for EPBCS How do we clear and aggregate data in EPBCS? Manual clearing and aggregating in the cube Dynamic execution in EPBCS EPMAutomate.bat 26

27 EPBCS Data Clear/Aggregation - Solution Command line utility for Cloud services applications Features Login, Logout, upload/download files, import/export data, Import/export metadata Run business rules, list files, delete files Set up Business Rules to clear/agg data in EPBCS Call Business Rules from Befload/AftLoad event script from FDMEE Data gets cleared in the cube based on the passed POV values Data gets loaded into the cube Data gets aggregated in the cube based on the passed POV values 27

28 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 28

29 Data Reconciliation Approach When? 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 29

30 Data Reconciliation Approach Why? 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 30

31 Data Reconciliation Approach How? Ranzal developed framework to compare data in FDM classic to FDMEE Prepackaged using out of the box functionality Configurable to your needs Owned by you Short implementation time Benefits Auditable When was a mapping added/modified When was the data from the systems loaded When was the variance report generated Efficient Lights out automation brings together data sets & generates variance reporting without end user intervention Leverages the power of the application & database Centralized 31

32 Data Reconciliation How? Bring data into a common interface (Import) Align data between the different sources (Map) Check variances (Report) 32

33 Agenda About Edgewater Ranzal and Integration team FDMEE - A Brief history FDMEE - Hybrid Approach Case Study Manufacturing Organization Lessons Learned and Next Steps Questions 33

34 Lessons Learned and Next Steps Understand the Paradigm Shift Mark extended configurations and customizations for implementation cycle Goal is to leverage the best mix of out of the box configuration and customer specific customizations Do not underestimate data validation effort Keep track of passwords for expiring cloud services(3 Months) What s Next Automation Feedback Process Read more at Data Relationship Management Centralized change management repository 34

35 Questions

36 Contact Information Company Contact Seema Shah: Ankit Shrivastava: Edgewater Ranzal 108 Corporate Park Drive, Suite 105 White Plains, NY Tel (914) Beech Street, Suite 109 London EC2Y 8AD United Kingdom Tel +44 (0) Harvard Mill Square Suite 210 Wakefield, MA Tel (781) North Michigan Ave. Suite 2800 Chicago, IL Tel (312)