Jaros Jaros Overview
Dec 15, 2015
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
oard
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