Jaros

Jaros Overview

Jaros Overview - History

• Founded 1999 as consulting company• GE Medical Systems IT• Sigma Aldrich• Smurfit-Stone Container

• Transitioned to Software Company in 2001• focus on Oracle E-Business Suite

• Jaros Analytics General Availability in early 2004

• Signed 1st Customer in 2004

• Venture Funding

• Reputation and Growth : 2004 through present

Jaros Design Goals

Integration of many data sources Operational ease of use

Easy to restart Easy to administer Synchronized Data Loading Flexible scheduling

Performance ODS : Get data in as fast as possible Data Marts : Query Performance and Ease of Use Incremental loading

Front-end agnostic (Any Reporting Tool) – Pre-Built Reporting Near Real Time access to data Operational Reporting and Dashboards (ODS) Strategic Reporting and Dashboards (Data Marts)

Meta Data Driven Fully Defined Solution Help system Generation of reporting meta data layers Extensible to customers expectations Report Integration

Oracle E-Business Suite Support

• General Ledger• Accounts Payable• Accounts Receivable• Order Management• Shipments• Inventory• Purchasing• Working Capital• Project Accounting• Projects• Commissions• Advanced Pricing

• Human Resources• Payroll• Benefits• Services and Contracts • Discrete and Flow Manufacturing• BOM, Routings, WIP, Costing• WMS• Process Manufacturing• Quality• iProcurement• Fixed Assets

Jaros Architecture

OperationalData Store

IntegratedData Marts

Jaros Active Meta Data Repository ?

Reporting Layer

FinancialsOrderMgmt Inventory Purchasing

DiscreteMFG

ProcessMFG Service

HRPayrollBenefits

Near Real Time Strategic

PowerCenter

Simple per Module Pricing

Oracle Applications

MFG Pro

Legacy Systems

Non-Supported ERP

IntegrationInterface

Table

JarosData

Model

Supported Platforms

Non-Supported Platforms

Data Model: Integration

Data Integration

Reporting / Dashboards / KPI’s / Strategy

Drill Path

FSG’s

Transa

ctio

ns

Sub-Led

gers

Gener

al L

edger

KPI Data Model

FSG Data Model

General Ledger / Sub Ledger Data Model

Transactional Data Model

Rep

ortin

g / D

ashb

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s

Jaros Architecture : 5 Major Components

1. ETL - Informatica PowerCenter2. Operational Framework3. Data Model

• Operational Data Store• Data Marts

4. Active Meta Data Repository5. Reporting Layers

• Business Objects• Cognos• Oracle• Pre-Built reports

ETL – Informatica PowerCenter

Support Informatica 7 and 8

ETL – Informatica PowerCenter

• Extremely Scalable• Operational Friendly• Powerful Workflow Execution Engine• Graphical Programming• Robust for Operational and Strategic BI• Consistently Rated as Leader in

• ETL• Data Quality• Data Integration

Operational Data Store

Reference TablesMaster TablesDetail Tables

Reference tables are lookup tablessuch as country codes, terms codes, etc

Master Tables represent customers,products, sales reps, etc.

Detail Tables represent order lines,invoice lines, journal entries, AP invoices, etc.

Operational Reporting

Near Real Time

TransactionTables

Dimension

Hybrid Star Schema

TransactionTables

Dimension

DimensionDimension

Data Model: Operational Data Store

Country Codes

Order Types

Order Lines

Reference/Lookup Tables

Item

Ora

cle

App

lica

tion

s

Operational Data Store

Customer

Detail Tables Master Tables

• Operational Data• Dimensionalized• Near Real Time

• Extraction• Light Transformation• LoadingAP – 1 hour

Rest Nightly

OM – 10 minutesOrder

HeadersOperating

Unit Sales Rep

Lookups

Functional Groups

Data Model: Operational Data Store

Contains Fact tables and Dimensiontables. Conformed Type I & II Dimensions.

Many ODS detail tables make one fact table.

Dimension tables are sourced fromMaster tables in ODS.

Reference tables are used in this schemafor lookups such as terms and countrycodes.

Exclusively Star Schema

ROLAP or MOLAP

FactTable

DimensionTable

DimensionTable

DimensionTable

StrategicAnalysis

Contains Low Level Detail (user friendly, structured data)

DimensionTable

Data Model: Data Marts

60+ Dimensions150+ Fact Tables

GL and Sub-ledger Analysis

Bookings, Billings, Backlog

Customer Profitability

Product Margins

COA Margins

AR Aging

Credit Risk Analysis

Customer On Time Performance

Vendor Ratings

Vendor Reject Analysis

List Price Analysis

AP Cost Analysis

Vendor On Time Performance

IPV Analysis

PPV Analysis

Obsolete Inventory

Inventory Turns

Inventory Value

WIP Analysis

Item Cost Analysis

Sales Analysis

Working Capital

Fixed Asset Reporting

PA – Projects, Tasks, Events, Budgets, Agreements, Expenditures, Fundings

PA – AR / AP / PO Drill

PA – Revenue Analysis PA – Cost Analysis

Quality Reporting

Financial Reporting

Process Manufacturing Reporting

Open AP Aging

Discrete Manufacturing Reporting

Reporting Categories (Over 180 Reporting Areas):

Prebuilt Analytics

Jaros Architecture : Reporting Layer

Reporting ToolCognos, Business Objects

Reporting Meta Data Layer

Jaros Active Meta Data Repository

Jaros Help System

Consistent Framework for Reporting150+ Starter Reports today

Synchronized

Synchronized

Partnerships

• Teradata• Oracle• Microsoft• Cognos• Microstrategy• Informatica

On the Horizon

TCS Relationship

Teradata Support - Platform Independence

iGate Relationship

Hosting Service Oracle E-Business SuiteJaros AnalyticsComplete Transactional and Reporting Solution

Why Jaros?

Value to Customer – GE Case Study- Navilyst Medica Case Study

Multiple Platform SupportCognos, Business ObjectsOracle, Teradata, MS SQL Server

Real Time Information

Industry Specific Data Models

Thank you