Ocean Productivity and Export Flux Data derived from satellite: Biomass (concentration, type)
Data Flux
-
Upload
ark-group-australia -
Category
Documents
-
view
835 -
download
1
Transcript of Data Flux
“The Journey to Trusted Data”
Saul CunninghamDataFlux ANZ General Manager
10 March 2011
Welcome
2
Saul CunninghamManaging Director, DataFlux ANZ
Where are you on your data journey?
3
Planning is the Key
4
The Evolution of Data Awareness
5
The Current State of Data ManagementThe top four potential barriers to coordinating data management initiatives
6
The Data Disconnect
7
Understanding the Gap
IT Drivers for Data Management•Back Office Applications•IT Infrastructure•Operational Efficiency•Proven Technologies•Methodical in Approach
Business Drivers for Data Management•Front Office Applications•Customer Oriented•Revenue Generation•Leading Edge Technologies•Process Oriented
8
Closing the Gap
It’s a question of ownership•Business owns the processes•IT owns the systems
It’s a question of sponsorship•Organisations can place a value on almost all assets (buildings, machinery, employees, bandwidth)•Data is, at its core, viewed by the business as a by-product of IT assets
It’s a question of technology adoption•Traditional data management capabilities are lacking•Right technology at the right time
Sales ForceAutomation
Database Marketing
IT-driven projects
Duplicate,inconsistent data
Inability to adapt tobusiness changes
Data Warehouse
ERP
CRM
Line of businessinfluences IT projects
Little cross-functional collaboration
High cost to maintain multiple applications
IT and businessgroups collaborate
Enterprise view of certain domains
Data is a corporate asset
Customer MDMProduct MDM
Materials MDMEmployee MDM
Asset MDM
Businessrequirements drive
IT projectsRepeatable, automated
business processesPersonalized customer
relationships and optimized operations
MDM
Business ProcessAutomation
The Data Governance Maturity Model
Establish Repeatable Processes
Your Data. Your Business. One Solution.
DataFlux enables business agility and IT efficiency by providing innovative data management technology and services that transform data into a strategic asset.
Our Mission
• Recognised as a leading provider of data quality, data integration and MDM solutions
• Over 2300 customers worldwide• Been in the leadership position
within the Gartner DQ MQ since 2006
• Single home grown platform providing DQ, DI and MDM capabilities
• Wholly owned subsidiary of SAS
DataFlux - Proven Market Leader in Data Management
DataFlux – one solution with broad application across your business
14
“It’s like having a “Swiss Army knife” suite of tools to characterise, clean, integrate and monitor the quality of BP’s data.”Ken Dunn (BP Data Architecture Manager)
Scenario 1: Business Reporting
The “classic” use of Data Quality Access and integrate data in batch & real-time for
analytics Apply Data Quality business rules to ensure trusted
data for reporting - improve User confidence in the data
Business Intelligence
LegacySystems
LegacySystems
Application Systems
DataMart
DataMart
DW /DM
DW /DM
Data Warehouse
Batch DQ
Real-time DQ
DataFlux DQPlatform
Scenario 2: Business Process Improvement
Improve data quality at the “Point of data entry” into your Enterprise Applications
Eliminates duplicate data entering the system Data quality management over the life of an ERP/CRM
system
Ensuring quality information at User interface
EnterpriseApplications
EnterpriseApplications
Business Users DataFlux DQPlatform
DataFlux Quality Firewall
DataFlux Quality Firewall
Scenario 3: Reduce Risk in Data Migrations
LegacySystems
LegacySystems
ERP/CRM
ERP/CRM
New Enterprise Application
Migrate cleansed and standardised legacy application data into new or upgraded Enterprise Application
Reduce risk and ensure timely delivery of application go-live
Monitor DQ issues during Data Migration process to increase confidence for key stakeholders
Data Migrations
Legacy Systems
DataFlux DQPlatform
Scenario 4: Data Governance process
Meet compliance requirements with ability to trace and audit data
Consolidate enterprise data to establish a single version of customer, product or employee
Data Governance
LegacySystems
LegacySystems
MDMApplication Systems
Enterprise Apps
Business Users
DataFlux DQPlatform
Questions?