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Information IntegrationCase Study:Information Integration at TelstraClear
Ito StewartManagerBearingPoint, New Zealand
Case Study: Information Integration
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Overview• Introduction• Challenges for the business• The Goal• The Solution• Making it reality• Getting the value• What works (and what doesn’t)• Conclusion
Case Study: Information Integration
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Introduction • BearingPoint – Management & Technology Consultants
in New Zealand• Subject Matter Experts in Enterprise Data Management
– Ito Stewart leads the NZ Enterprise Data Management group– Robert Hillard (MD) is the leader of our regional Enterprise
Data Management practice was also the founding president of The Data Warehousing Institute in Australia
• The Australian Enterprise Data Management practice is the global Centre of Excellence for BearingPoint globally
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Challenges for the business• Difficult to get a whole of customer view• Differences in treatment of key data elements• Data from 2 operational systems
• Rapidly evolving business requirements• Multiple completing initiatives within the business• A huge amount of organisational change occurring
simultaneously
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The Goal
Improved Customer
Sales & Service
Improved Improved Customer Customer
Sales & ServiceSales & Service
Better Insight to our Business
Better Insight to Better Insight to our Businessour Business
Better Understanding of
Customers
Better Better Understanding of Understanding of
CustomersCustomers
Case Study: Information Integration
Information & Analysis Capability
Business Performance
Modelling
Usage
Profiles
Products & Services
Contact ManagementService Campaign
Customer
Revenue
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The Solution • A new data warehouse with the capability of servicing
the entire enterprise
• Using of an industry specific data model
• Extending the use of best-of-breed integration tools
• Deliver information to the business using a web-based reporting tool
Case Study: Information Integration
Making it realityMeta Data Integration Layer
MicroStrategy & Brio
SAS
Enterprise Data Warehouse
Source Systems
C MDW
M S
I PM
ABP G
AOMSpread sheets
DataStage
Extract, Transform, Load (ETL)
DataStage
Extract, Transform, Load (ETL)
Data Marts
Data Marts
Data Marts
AdvancedAnalytics
Business Intelligence
Information Delivery
ExecutiveDashboard
DecisionSupport Analysis "What If"
Integrated Reporting
IBM Telecommunications Data Model
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Telco Data Warehouse Model • IBM Telecommunications Data Warehouse Model.• Pre-build data model supporting:
– Staging– Enterprise 3NF data model– Summary tables– Business Solution Templates (data marts)
• Several existing variants for other industries – Banking DWM used in Australian financial institutions
• Delivered 80% of the EDW and 30% of the data marts
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Getting the value • It’s not about the technology – although when it gets
tough it’s very easy to make it so.• Aggressively manage the scope – start small and
implement fast (30 to 90 day increments).
• It’s not just reporting - focus on the business outcomes!• Establish the business benefits and link them to
outcomes.• Address data quality upfront.
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What works (and what doesn’t) • Understand the business outcomes.
• Establish strong business sponsorship and ownership.• Agree a set of guiding principles.
• Manage business expectations upfront – discuss data quality and agree scope at the onset.
• Focus on developing end user capability – not product training.
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Conclusion
• Many companies experience the same information integration challenges.
• Seek out sound advice.• Take a structured approach.• Focus on the business
outcomes.• Address data quality from the
start.
7301 North, Highway 161Irving, TX 75039www.bearingpoint.com
Richard LarrabeeGlobal Account Manager
Tel: +1. 972.373.7308E-mail: [email protected]
10 Viaduct Harbour Avenue PO Box 2038Auckland, New Zealandwww.bearingpoint.com
Ito StewartManager
Enterprise Data Management
Tel: +64 21 443 292
E-mail: [email protected]
Thank You
