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Transcript of Business and IT Working Together to Streamline Corporate Reporting Stephen Hord, Director of Product...
Business and IT Working Together to Streamline Corporate Reporting
Stephen Hord, Director of Product Development – UBmatrix
Slide 2
About Me - Steve Director Of Product Development – UBMatrix
12 + years in the Technology Industry Adobe – Print Publishing and PDF teams Online Travel Solutions Travelport -> Orbitz
XML and Rules Engines
2 + years at UBmatrix Managed UBMatrix FFIEC Solution Oversee Development of Corporate Solutions
Slide 5
The Goal
Streamline Corporate Reporting
Meet Regulatory Requirements SEC, SOX, Others
Provide a Single Interface to all Corporate Information Systems
Eliminate Spreadsheet Problems Self-Service Data Access Audit and Traceability
Slide 6
Introduction To EII
What is Enterprise Information Integration
Enterprise Information Integration (EII) is the integration of data from multiple systems into a unified, consistent and accurate representation geared toward the viewing and manipulation of the data
Slide 7
Introduction To EII
EII Benefits to the end user
Reduce time finding and accessing data Eliminate hack reporting tasks that email spreadsheets or
access databases to end users Maintain connections to source data (Traceability) Eliminate Spreadsheet copy/paste errors and reduce
regularity risk from spreadsheet macros
Slide 8
Introduction to EII
Benefits to the IT Administrator
Creates a Global Map of all information including Relationships, Validation Rules, Documentation, and Source
Enables simplified infrastructure management via a metadata abstraction layer over BI, CRM, DW, ETL, ERP, enterprise portals
Control and report on data access patterns, Control access to data based on LDAP. Generate data usage reports
Slide 9
Introduction to EII
Benefits to the Developer
Provides a single interface and extensible metadata that can encompass all data sources, speeding the development of applications such as enterprise portals
Developers can simplify the front-end of the application by making it a Web service, and the back-end, by simplifying data access
Development is faster programmers code for access to a single virtual data source regardless of data storage
Slide 11
How Do I Do IT
Enterprise Wide Architecture for Publishing Data Analyst – Builds a Corporate Wide Taxonomy
Use XBRL Layer to Normalize Data Data Descriptions Describe where Data is Stored Use the XBRL Extensibility Model
Remove Duplicates Create Validation Rules
Slide 12
Application SilosApplication Silos
SAPInventory
AccountingSystem
WebServices
MessageQueuing
OracleCRM
XMLTransactions
Corporate XBRL TaxonomyCorporate XBRL TaxonomySAP
InventoryAccounting
SystemWeb
ServicesMessageQueuing
OracleCRM
XMLTransactions
InternalReporting
ExternalReporting
XBRL Enabled Enterprise Integration XBRL taxonomy layer normalizes and
provides easy access to fine-grain data located in disparate data-stores
Data is easily accessed and incorporated into custom business reports
Slide 13
Introduction To EII
Corporate HQ
EuropeDivision 1
Corporate XBRL Taxonomy
EU Division 1Ext. Taxonomy 1
US Division 1Ext. Taxonomy 3
EU Division 2Ext. Taxonomy 2
US Division 2Ext. Taxonomy 4
IFRS Taxonomy US GAAP Taxonomy
EuropeDivision 2
USADivision 1
USADivision 2
Slide 14
How Do I Do IT
Enterprise Wide Architecture for Publishing Data IT Professional –
Corporate Information Messaging System Metadata driven Message across silos – XBRL-GL
Publish Taxonomy –Corporate Data Portal Metadata driven Queries Track All Requests from one location Manage Access from one location
Self-Serve Dash boards
Slide 15
Maximize and Enhance ExistingIT Investments
BusinessAnalytics/Reporting
DataWarehouse
ETL
EAI
ProcessIntegration
Data Data
Real-time Batch SAP IBM
DataStorageLayer
DataProcessLayer
XBRLMetadataLayer
PresentationLayer Enterprise PortalDashboard
DataNon
Structured
DataSemi
Structured
Universal Business ServerData Validation, Normalization, Audit control
BPM
Workflowand
Processing
SAP IBM
HRSalesOrder Desk
Slide 17
Conclusions
Focus on Data Publishing
Create a Composite View of all Data Metadata driven Queries Abstract storage details Maintain Connectivity to Source Data