Download - Bi Apps Financial Analytics on Jde

5/21/2018 Bi Apps Financial Analytics on Jde

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Peak Indicators Limited

BI Apps - Financial Analytics on

JD Edwards

Overview, Implementation and Next Steps

Tony Cassidy & Shaun Mullen

June 2012


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Peak Indicators Limited 2

Agenda

Introduction

BI Apps - Overview

BI AppsFinancial Analytics

BI AppsFinancial AnalyticsJD Edwards Specifics

BISC Implementation

Customisation

Security

ETL Statistics

Training

Key Success Factors - General

Key Success Factors - BISC

Next Steps


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Introduction


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Customer: In Ireland

Business Needs:

Ability to report on Non Pay and Open Commitments

Ability to report More Frequently than before

Open to Overall Improvements on Operational Financial Reporting

Deploy in relatively short time frame Budget

Solution Considerations:

OBIEE Existing

JD Edwards Existing

Immediate Operational Financial Reporting Requirement (Non Pay)

TCO on BI Apps - Financial Analytics V OBIEE Custom Product Layers = Schemas, ETL, Adapters & Dashboards

ROI on BI AppsFinancial AnalyticsWider Usage

Decision:

BI AppsFinancial Analytics on JD Edwards

IntroductionBusiness Need & Solution Consideration


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IntroductionDecision = BI Continuum for JD Edwards

Oracle

EPM

F

uture

Oriented

Strategic Dynamic

StaticOperationalPastOrient

ed

JDE E1

JDE E1 Standardized Reporting

JDE E1 UBE, QBE (Query By Example)

Oracle BI Publisher

11

JDE E1 Operational Consoles

Financial Mgmt & Compliance Console Plant Manager Dashboard

2

2

Oracle Predictive Modeling Tools

Hyperion Essbase

Real Time Decisions

5

5Oracle EPM Hyperion Planning and Budgeting

Hyperion Financial Management

more

4

4

Oracle BI Applications Financial Analytics

Supply Chain & Order Mgmt Analytics

Procurement & Spend Analytics

more

3

3


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BI Apps - Overview


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BI Apps - Overview

Oracle BI Applications (BI Apps) is a complete data-warehouse solution basedon the Oracle BI Enterprise Edition product suite

BI Apps enables organisations to rapidly deploy an end-to-end analyticssolution providing a comprehensive and rich set of Business Intelligencedashboards

BI Apps comes with pre-built meta-data to source from various sourcetransactional applications including: Oracle eBusiness Suite

Siebel CRM

Peoplesoft

JD Edwards

BI Apps is designed so that it can be tailored to suit an organisations ownindividual reporting needs



BI Apps - Overview

Faster Delivery, Lower TCO

Build from Scratchwith Traditional BI Tools

Oracle Analytic Applications

Prebuilt Business Adapters for Oracle,PeopleSoft, Siebel, SAP, others

Prebuilt DW design, adapts to your EDW

Role-based dashboards and thousands ofpre-defined metrics

Easy to use, easy to adapt

Weeks or Months

Back-endETL and

Mapping

DW Design

Define Metrics& Dashboards

Back-endETL andMapping

DW Design

Define Metrics& Dashboards

Training / Roll-out

Training / Rollout

Months or Years

Oracle Analytic Applications

solutions approach:

Faster time to value

Lower TCO

Assured business value

Source: Patricia Seybold Research, Gartner, Merrill Lynch, Oracle Analysis



Oracle Business Intelligence Enterprise Edition Plus (OBIEE)

Oracle Business Intelligence Applications (BI Apps)Prebuilt Metadata

BI Apps - OverviewOBIEE V BI AppsWhy?



Extension of DW Schema for

extension columns, additional

tables, external sources,

aggregates, indices, etc.

Extension of ETL for extension

columns, descriptive flex fields,

additional tables, external

sources, etc.

Additional derived metrics, custom drill

paths, exposing extensions in physical,

logical and presentation layer, etc.

Additional dashboards and reports,guided and conditional navigations,

iBots, etc.

Level of

Effort

Degree of

Customization

Easy

Moderate

Intermediate

Involved

Dashboards & Reports

OBIEE Metadata

DW Schema

ETL

BI Apps - OverviewEffort & Customization Balance



Adminis

tration

Meta

data

Oracle BI

Presentation

ServicesDashboards by Role

Reports, Analysis / Analytic

Workflows

Metrics / KPIs

Logical Model / Subject Areas

Physical Map

Oracle BI

Server

Direct

Access to

Source

Data

Data Warehouse /Data Model

ETL

Load Process

Staging Area

Extraction Process

DAC

Federated Data Sources

SiebelOracle PSFT EDW Other

Role Based Dashboards

Analytic Workflow Guided Navigation

Security / Visibility

Alerts & Proactive Delivery

Logical to Physical Abstraction Layer

Calculations and Metrics Definition

Visibility & Personalization

Dynamic SQL Generation

Highly Parallel

Multistage and Customizable

Deployment Modularity

Abstracted Data Model

Conformed Dimensions

Heterogeneous Database support

Database specific indexing

BI Apps - OverviewArchitecture



BI Apps - Financial Analytics



Travel

& TransAuto

Comms

& Media

Complex

Mfg

Consumer

SectorEnergy

Financial

Services

High

Tech

Insurance

& Health

Life

Sciences

Public

Sector

Oracle BI Suite Enterprise Edition

Prebuilt adapters:

Sales

Service &

Contact

Center

MarketingOrder

Management

& Fulfillment

Supply Chain FinancialsHuman

Resources

PipelineAnalysis

TriangulatedForecasting

Sales TeamEffectiveness

Up-sell /Cross-sell

Cycle TimeAnalysis

LeadConversion

AbsenceManagement

CompensationAnalysis

HR Performance

WorkforceProfile

LearningManagement

RecruitmentManagement

A/R & A/PAnalysis

GL / Balance

Sheet Analysis

Customer& ProductProfitability

P&L Analysis

ExpenseManagement

Cash FlowAnalysis

SupplierPerformance

SpendAnalysis

ProcurementCycle Times

InventoryAvailability

EmployeeExpenses

BOM Analysis

OrderLinearity

Orders

vs. AvailableInventory

Cycle TimeAnalysis

BacklogAnalysis

FulfillmentStatus

CustomerReceivables

CampaignScorecard

ResponseRates

ProductPropensity

Loyalty andAttrition

Market BasketAnalysis

Campaign ROI

ChurnPropensity

CustomerSatisfaction

ResolutionRates

Service RepEffectiveness

Service CostAnalysis

ServiceTrends

BI AppsFinancial AnalyticsFinancial Subject Areas

l l
http://www.peoplesoft.com/corp/en/public_index.jsphttp://www.sap.com/index.asphttp://www.siebel.com/



Payables AnalyticsProvides visibility into payments due to suppliers and expense line detail so managerscan manage cash outflows and control expenses. When combined with Supply ChainAnalytics, it allows full procurement analysis from Requisition to Check.

Receivables AnalyticsMonitors collections processes to show what customers buy and how they pay,enabling managers to identify overdue balances and other receivables bottlenecks.When combined with Oracle Sales Analytics and Oracle Order Management &Fulfillment Analytics, it enables more efficient management of the entire Lead toCash process.

General Ledger & Profitability Analytics

Incorporates detail-level general ledger transactions and cash flow analysis acrosslocations, customers, products, sales territories, distribution channels, and businessunits.

Identifies the customers and transactions that are providing maximum profits byproduct, location, department, and geographic detail. When combined withMarketing Analytics, it enables analysis of Campaign ROI and assists in customersegmentation.

BI AppsFinancial AnalyticsComprehensive View of Financial Performance

i i l l i



Pre-mapped metadata, including embedded best

practice calculations and metrics for Financial,

Executives and other Business Users.

Presentation Layer

Logical Business

Model

Physical Sources

3

Pre-built ETL to extract data from over 3,000

operational tables and load it into the DW,

sourced from JDE, PSFT, and other sources.

2 A best practice library of over 360 pre-built

metrics, Intelligent Dashboards, 200+ Reports and

alerts for CFO, Finance Controller, FinancialAnalyst, AR/AP Managers and

Executive

4

Pre-built warehouse with more than 15 star-

schemas designed for analysis and reporting on

Financial Analytics

1

BI AppsFinancial AnalyticsProduct Layers



BI AppsFinancial Analytics

JD Edwards Specifics



JDE Approach

Created new Data Source Num IDs

ETL (Informatica)

Map from JDE E1 tables to the existing staging tables (SDE)

Configuration (.csv) files, domain values

DAC parms (new and existing), DAC execution plan

No OBIA data model changes except:

Added 20 additional attributes to 4 dimensions to support JDE E1

Category Codes

Data Source Name Data Source Number

JDE_8.11 SP1 15

JDE_8.12 15

JDE_9.0 25



Financial AnalyticsDimensions

Dimension Primary JDE E1 Source Table

W_MCAL_PERIOD_D F0008Fiscal Date Patterns

W_MCAL_CAL_D F0008Fiscal Date Patterns

W_MCAL_CONTEXT_G F0010Company Master

W_INT_ORG_DF0010Company Master

F0006Business Unit MasterW_LEDGER_D F0010Company Master

W_PROFIT_CENTER_D F0010Company Master

W_COST_CENTER_D F0006Business Unit Master

W_INT_ORG_DH F0050Organizational Structure Master

W_GL_ACCOUNT_D F0901Account Master

W_HIERARCHY_D F0901Account Master

W_GL_SEGMENT_D F0901Account Master





W_PARTY_ORG_D

F0101Address Book Master

F03012Customer Master by Line of Business

F0401Supplier Master

W_CUSTOMER_LOC_D F0101Address Book Master

W_USER_D F0101Address Book Master

W_CUSTOMER_FIN_PROFL_D F03012Customer Master by Line of Business

W_CUSTOMER_ACCOUNT_D F03012Customer Master by Line of Business

W_SUPPLIER_ACCOUNT_D F0401Supplier Master

W_PRODUCT_D F4101Item Master

W_EMPLOYEE_D F060116Employee Master





W_AP_TERMS_D F0014Payment Terms

W_PAYMENT_TERMS_D F0014Payment Terms

W_CODE_D F0005User Defined Code Values

W_STATUS_D F0005User Defined Code Values

W_XACT_TYPE_D F0005User Defined Code Values

W_PAYMENT_METHOD_D F0005User Defined Code Values

W_EXCH_RATE_GS F0015Currency Exchange Rates

W_JDEE1_DECIMALSHIFT_G F9210Data Dictionary



Financial AnalyticsFacts


W_AP_XACT_F

F0411Accounts Payable Ledger

F0413Accounts Payable Matching Document Header

F0414Accounts Payable Matching Document Detail

W_AR_XACT_F

F03B11Customer Ledger

F03B13Receipts HeaderF03B14Receipts Detail

W_GL_REVN_F F0911Account Ledger

W_GL_COGS_F F0911Account Ledger

W_GL_OTHER_F F0911Account Ledger

W_GL_BALANCE_F F0902Account Balances

W_ACCT_BUDGET_F F0902Account Balances



Other JDE E1 Adapter Notes

Rely on Universal Adapter for:

W_BUDGET_D

W_CUSTOMER_COST_LINE_F

W_PRODUCT_COST_LINE_F

JDE E1 Adapter does not support the following:

W_BANK_D

W_TAX_TYPE_D

W_PARTY_PER_D

W_TAX_XACT_F



DataModel

AP

AR

GL

Custom Tables


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Many JDE E1 Modules Feed Accounts Payable


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JDE E1 Accounts Payable - Process Flow


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Financial Analytics Data Model

Base Fact Primary JDE E1 Source Tables

W_AP_XACT_F

F0411Accounts Payable Ledger

F0413Accounts Payable Matching Document Header

F0414Accounts Payable Matching Document Detail

Only mapping transactions that have been posted


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Many JDE E1 Modules Feed Accounts Receivable

Contact and Service

Billing

Accounts Receivable

General Accounting

Address Book

Sales Order

Management

Service & Warranty

Management

Real Estate

Management


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JDE E1 Accounts Receivable - Process Flow


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W_AR_XACT_F

F03B11Customer Ledger

F03B13Receipts Header

F03B14Receipts Detail



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W_GL_REVN_F F0911Account Ledger

W_GL_COGS_F F0911Account Ledger

W_GL_OTHER_F F0911Account Ledger

W_GL_BALANCE_F F0902Account Balances


Only mapping actual ledger types

The Financial Statement Item Code associated with the Account on the GL transaction

(F0911) determines if a GL Transaction is mapped to W_GL_REVN_F, W_GL_COGS_F, or

W_GL_OTHER_F

Other JDE E1 Adapter Notes:

Dont support Reconciliation process that exists with EBS Adapter

Dont support drill back from GL to AP or AR


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W_ACCT_BUDGET_F F0902Account Balances


Only mapping budget ledger type


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Category Codes

20 new attribute columns were added to the following dimension tables and their

associated _DS tables:

W_INT_ORG_DAttribute columns were added to support Business Unit (F0006)

category codes.

W_CUSTOMER_ACCOUNT_DAttribute columns were added to

support Customer Master by Line of Business (F03012) category

codes.W_PARTY_ORG_DAttribute columns were added to support

Address Book Master (F0101) and Customer Master by Line of

Business (F03012) category codes.

W_PRODUCT_DAttribute columns were added to support Item

Master (F4101) category codes.

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Additional Tables for Category Codes

Table ColumnW_INT_ORG_DS STATE_REGION

W_INT_ORG_DS COUNTRY_REGIONW_INT_ORG_DS CONFIG_CAT_CODE

W_PRODUCT_DS INDUSTRY_CODE

W_PRODUCT_DS BRAND

W_PRODUCT_DS COLOR

W_PRODUCT_DS UNIV_PROD_CODE

W_CUSTOMER_ACCOUNT_DS ACCOUNT_TYPE_CODEW_CUSTOMER_ACCOUNT_DS ACCOUNT_CLASS_CODE

W_PARTY_ORG_DS LINE_OF_BUSINESS

W_PARTY_ORG_DS REGION

W_PARTY_ORG_DS ACCNT_AHA_NUM

W_PARTY_ORG_DS ACCNT_CLASS

W_PARTY_ORG_DS ACCNT_HIN_NUMW_PARTY_ORG_DS ACCNT_REGION

W_PARTY_ORG_DS ACCNT_VALUE

W_PARTY_ORG_DS CUST_CAT_CODE

fi d d


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User Defined Codes

The file_udc_category_mapping_jde.csv file loads JDE E1 user defined codes (UDCs) into

the Code (W_CODE_D) dimension. Use the flat file to specify a particular set of

UDCs that you want to load.

There are three columns in the CSV file. The first two columns are used to identify the

system codes and user defined codes. Together, these columns are used to identify

the UDCs that will be loaded into W_CODE_D. The third column is the category into

which you want to load the codes in W_CODE_D.

Categories in W_CODE_D are used to group together codes intended for a similar

purpose. For example, UDC 00||CN stores the country code and description. To

store this under the COUNTRY category in W_CODE_D, enter the following row in

the CSV file: 00 CN COUNTRY

U D fi d C d


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User Defined Codes

In the CSV file, you specify the system code and user defined code and associate

it with the category to which you want the UDCs loaded. This data is

loaded into UDC_CATEGORY_MAP_TMP table, which leverages the data

and loads the relevant codes into the Code dimension.

Example..

System Code User Defined Code Category

00 PY SUPPLIER_PAYMENT_METHOD

00 CN COUNTRY

01 GD GENDER01 LP LANGUAGE

G A N b


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Group Account Numbers

Group Account numbers are configured in the same way as EBS through the file

file_group_account_codes_jde.csv The file has an additional column of company

required for JDE.

COMPANY FROM ACCT TO ACCT GROUP_ACCT_NUM

00000 4100 4190 AP

00000 1200 1299 AR

00000 2120 2195 ACC DEPCN

00000 4200 4211 ACC LIAB

00000 1100 1121 CASH

00000 4900 4910 CMMN STOCK

GL Hi h


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GL Hierarchy

The JDE E1 account dimension mapping generates hierarchies for each AID (Account ID)

based on the LDA (Level of Detail). This is a relative hierarchy dependant on the

order of incoming records.

Check the results with JDE functional consultant & Config guide to confirm. The ETL

generates a hierarchy as below:

R t T


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Rate Type

The concept of Rate Type in JDE is different than how it is defined in the Warehouse. In

JDE, the rate type is an optional key; it is not used during exchange ratecalculations.

DAC uses the $$JDE_RATE_TYPE source system parameter to populate the Rate_Type

field in the W_EXCH_RATE_GS table. By default, the $$JDE_RATE_TYPE source

system parameter in DAC has a value of "Actual."

The query and lookup on W_EXCH_RATE_G will fail if the RATE_TYPE field in the

W_EXCH_RATE_G table does not contain the same value as the

GLOBAL1_RATE_TYPE, GLOBAL2_RATE_TYPE 2 and GLOBAL3_RATE_TYPE fields in

the W_GLOBAL_CURR_G table.

I t t d S it


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Integrated Security

Elements of

Security

JDE E1 OBIEE/OBIA Integrated Security

Option

User Security - Validate username/pw - Validate username/pw - Maintain JDE E1 credentials

in LDAP so OBIEE can

leverage it

Object

Security

- Based on User ID and Role

Note: Roles are not based on

job function orresponsibility

- Based on Security Groups

- Security Groups based on

users job function. Usersjob function can be derived

from the roles/resp. in the

OLTP system ifthe OLTP

roles/resp. are job-function

based.

- LDAP schema supported by

JDE E1 could contain Security

Group, so both JDE E1 and

OBIEE object security can beset up in LDAP

Data Security -Based on User ID and

Role, defined at the

table/row/column level

Note: User ID (Profile) is not

associated with an

organization

- Based on Organization/Job

function , applies to all

tables

- Can be derived from the

OLTP system ifthe OLTPs

user profile contains the

users organization

Dual Maintenance Required

- JDE E1 User ID (Profile) is

not associated with an

organization yet an

organization is required for

Integrated data security


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BISC Implementation

BISC Implementation


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BISC Implementation

Week15

Weeks5-12

Weeks2-4

Weeks13-14

Week1

Install &Populate BIApplication

Unit Testing

System Testing

Development

ReviewContents

PrioritiseRequirements

User Training

UAT Migration

UAT

Deploy toPROD

Post-LiveSupport (BISC)

Project Plan

Workshops

Questionnaire

Expert Services

(BISC)

BISC Implementation


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BISC Implementation

BISC Project Team

Business Business Sponsor

Business Analysts

Users

BISCTeam

0.5 - BISC Project Manager

0.5 - BI Architect

1 - BI Specialist

1 - BISC Consultant

BISC Implementation


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BISC Implementation

Installation

Financial Analytics 7.9.6.3 configured for the following build: Microsoft Windows Server 2003 Standard Edition

OBIEE 10g

OBIA 7.9.6.2

DAC 10.1.3.4.1

Informatica 8.6.1

3.5 days for complete installation and a full ETL run.

Produced an install guide running over 70 pages for installation and

configuration of all software components.

Peak installed on DEV and then the Internal BISC team were able to

follow the install guide and install both UAT and PROD with minimum

fuss.

BISC Implementation


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p

Requirements Capture

Every customer is different when it comes to their requirements

leading into an entirely different extension to BI Apps.

A series of demos and workshops and questionnaire driven requirements

capture.

Requirements specification document created and signed-off

BISC Implementation


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p

Configuration

Financial LedgersActual & Commitment ledgers

Mapping Account Segment codes to columns in F0901 account master table

Accounting Aggregateswhich account segments to produce aggregates for

Date patterns to support fiscal quarters

BISC Implementation


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p

Configuration

Set DAC parameters determining volume of historical data in Data Warehouse: Initial Extract Date - date from which to extract data

Analysis Start- date from which to extract data

Analysis End - date to which data should be extracted

Other DAC parameters Currencies

$$GLOBAL1_CURR_CODE

Rate Types $$GLOBAL1_RATE_TYPE

Calendar

$$GBL_CALENDAR_ID

$$GBL_DATASOURCE_NUM_ID


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Customisation

Customisation


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Requirements

Extensions

to Out-of-Box with

additional 120+ fieldsrelated to...

Non-Pay Subject Area

Ability to report on Non-Pay data in OBI since last three years.

Ability to report on Non-Pay data for different time periods weekly, monthly, annually.

Ability to replicate current reporting on JDE.

Ability to report more accurately on Non-Pay Transactions.

Ability to report more accurately on changes between any twodates.

Ability to report on Transactions between any two dates.

Ad-hoc reporting of Orders and Suppliers with specific filters.


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Security

Security


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y

Application Roles

ETLInformatica

JD EdwardsData Warehouse

StagingStar Schemas

Oracle Business Intelligence BI Presentation Services

BI Server BI Scheduler

Oracle BI Application Roles

Core finance team have high visibility

Cost Centre managers have restricted visibility based on

application role

ETL Statistics


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ETL Statistics

Full Load

10 Hours (DEV)6 Hours (UAT & PROD)

Incremental

5.5 Hours (DEV)

3.5 Hours (UAT & PROD)

Training


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Training

Client specific Training Manual

Delivered training on Reports and Dashboard

A further BI Apps Bootcamp training is planned

Parallel Support period ensures additional detailed Knowledge Transfer



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Proven BI Apps implementation experience Peak Indicators has a combined total of over 20 years in-depth experience

implementing various modules of BI Apps

Utilising Peaks Quick-Start approach

Extended OOTB subject areas utilising 90% of OOTB contents rather than

building new subject areas from scratch.

Controlled Project scope within the Quick Start approach

System and UAT testing

Strong BI Project Management

Executive level sponsorship



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Use of the Peak Indicators BISC Approach.

What is BISC?

BISC is the New Improved Generation of BICC or BICoE!

Forrester and the BISC:

Forrester firmly believes that tried and true best practices for enterprise software development and support just dont

work for business intelligence (BI). Earlier-generation BI support centers organized along the same lines as support

centers for all other enterprise software fall short when it comes to taking BIs peculiarities into account. These unique

BI requirements include less reliance on the traditional software development life cycle (SDLC) and project planning andmore emphasis on reacting to the constant change of business requirements.

Forrester recommends structuring your BISC along somewhat different lines than traditional technical support

organizations.

...

A permanent, cross-functional, virtual or physical organizational structure, loosely coupled for flexibility and agility,

responsible for the governance and processes necessary to deliver or facilitate the delivery of successful BI solutions, as

well as being an institutional steward of, protector of, and forum for BI best practices.

REF: http://blogs.forrester.com/category/bisc

Parallel Support and Knowledge Integration to internal BISC

Detailed Requirements Definition completed by internal BISC

Conformity to Internal Governance and development standards by internal BISC

Next Steps
http://blogs.forrester.com/category/bischttp://blogs.forrester.com/category/bischttp://blogs.forrester.com/category/bisc


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Next Steps

Current implementationNon-Pay Transactions (20 Named Users)

On Site Support in Internal BISC

Remote Advanced Support in BISC

Future PhasesWider Rollout (20+ Users)

Roll out additional dashboards and reports (20+ Named Users)

TrainingBI Apps Bootcamp - http://www.peakindicators.com/index.php/obiee-training
http://www.peakindicators.com/index.php/obiee-traininghttp://www.peakindicators.com/index.php/obiee-traininghttp://www.peakindicators.com/index.php/obiee-traininghttp://www.peakindicators.com/index.php/obiee-training


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Peak Indicators Limited

Questions?


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Helping Your Business Intelligence Journey

Download - Bi Apps Financial Analytics on Jde

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