|
|
We can begin implementation of the environment
required for collecting, modeling and transforming data. This
includes data from line-of-business systems as well as from
outside sources. This data can be integrated for management
information, customer relationship management, straight-through
information, statutory reporting or creating information products
to sell to customers.
|
|
- Develop information architecture
- Develops and implements data integration strategy and
architecture
- Develop Enterprise Data Models and Divisional and Functional
Data Models for business applications systems development
projects
- Develop Data and Technical Architecture to integrate data
for ERP and major Software Package implementation
- Evaluate, recommend, design and implement databases for:
- Collecting data from many different sources
- Storing large data warehouses
- High performance read only use (data marts)
- Evaluate, recommend, design and implement extract, transform
and load (ETL) middleware for use in moving data between
databases
- Evaluate and recommend databases for transactional, batch
and query usage
- Evaluate and recommend standards for the creation and
storage of metadata
- Implement repositories of metadata for managing large
data integration environments
- Create and implement standards for data
- Analyze end user needs for integrated data
- Implement real time integration of data using messaging
and ETL
|
|
 |
|
