Download Data Warehouse for SUPRA solution overview

Cincom Business Intelligence
SOLUTION OVERVIEW
Problem
Transforming SUPRA PDM data into
a data warehouse in order to perform
decision-support analysis can be
complex and labor-intensive. Thirdparty tools cannot do this effectively,
and custom applications may need
to be written. Most data warehouses,
with their specialized platforms,
software and programming
techniques, have typically required
large capital and operating expenses
and could be afforded only by the
largest companies and government
agencies.
Data Warehouse
for SUPRA®
Your Warehouse Solution for Business Intelligence
Challenge
More affordable and easy-tosupport, enterprise-wide views of
a company’s operational data for
decision support are quite a
challenge for most organizations.
For business intelligence processing,
data must be “re-shaped” into a
form that is suitable for analysis. For
SUPRA PDM users, the transactional
data must be extracted, conformed,
reorganized and then loaded into a
warehouse database that is
optimized for analytic processing.
Solution
Provide the SUPRA PDM community
with a cost-effective data warehouse
solution that understands the
SUPRA PDM data structures and
how to optimize the extraction of
host data – a solution that knows
the platform-specific data types and
how to convert them to forms
suitable for multi-dimensional
analysis.
Data Warehouse for SUPRA collects, integrates and stores an
organization’s data with the aim of producing accurate and timely
management information and supporting data analysis.
With its knowledge of SUPRA PDM structures, Data Warehouse for
SUPRA provides the technology needed to help you develop and
automate the construction and updating of your warehouse data,
allowing you to re-shape your SUPRA data for analytic processing.
S I M P L I F I C AT I O N T H R O U G H I N N O VAT I O N ®
Business Intelligence for SUPRA is a set of integrated data
access, ETL/data warehouse and analytics solutions,
specialized for SUPRA PDM database implementations.
The Data Warehouse for SUPRA layer enables you to
develop and then automate the construction and updating
of your warehouse data. Data can be directly extracted
using Data Access for SUPRA or it can be extracted using
other SUPRA utilities. Data Warehouse for SUPRA, supplies
a relational database with support for developing J2EE
and .Net applications. Its reporting framework allows you
to design and deploy reports without the need for
programming. This is shown in the following image.
J2EE and
.Net
Apps
Jasper
Reports
Optimized for SUPRA
Data Warehouse for SUPRA has been optimized
specifically for SUPRA, but it also provides the capability
to include data from other systems. It enables you to
structure all of the data toward your business intelligence
objectives and includes the Extract/Transform/Load (ETL)
technology needed to load the data warehouse.
Building a data warehouse allows you to structure the data
toward your business intelligence objectives. This provides
a number of advantages over direct access to data.
• Data structures optimized for operational systems can
be complex. A data warehouse allows you to restructure
data into a schema that is easier for analysts to
understand.
• Data can be combined from several sources into a
unified relational schema.
Data Warehouse for SUPRA
• The warehouse data can be built incrementally to
provide a historical basis for analysis.
Data
Warehouse
• There may be less resource usage on operational
systems as data is migrated to the data warehouse.
ETL
Extract/Transform/Load
Data
Access for
SUPRA
SUPRA
• Data can be cleansed to meet the needs of analysis or
changing standards.
Data Warehouse for SUPRA provides the right technology
to efficiently extract SUPRA PDM data and transform it to
the shapes needed by analytics. Extract/Transform/Load
(ETL) technology is provided to help you automate the
transformation of data and load the warehouse database.
Host
Data
Facilities are provided to:
• Reshape your host data into the physical schema you
design for the warehouse database.
• Conform heterogeneous data from multiple sources into
a standardized form.
• Cleanse data to enforce your business rules.
• Handle large-volume initial loads and incremental
updates.
A graphical tool helps you construct and test transformation
processes so you don’t need to write complex ETL
programs. For example, the following chart is used to
show the loading of a client dimension table from two
data sources.
Client Applications and Reports
As with Data Access for SUPRA, you can use JDBC to
enable support for J2EE applications and tools, and
ODBC and OLEDB to enable support for .Net applications
and tools.
You can use the JasperReports framework (including
iReportDesigner) to produce reports from your warehouse
data without programming. This report framework
supports multiple output formats, such as PDF and HTML,
as well as importing to Excel. It allows runtime input of
user selection values and automated scheduling.
Extract Options
A variety of options are available to extract host data for
the warehouse. The Data Warehouse for the SUPRA ETL
component integrates with Data Access for SUPRA to
allow you to directly extract data, as shown in the
following figure.
Direct SUPRA Extract
ETL Tool
Data
Warehouse
Data
Access
for
SUPRA
SUPRA
Additional benefits of iReportDesigner include:
• GUI design of reports rather than code-based
• Run and preview while designing
Data Warehouse for SUPRA also provides a mainframe
extract utility to unload SUPRA PDM data into flat files.
This can be useful for very large extracts where direct
access to SUPRA PDM across the network may not be
practical.
Extracting Data with SUPRA Utilities
Mainframe
Data
Warehouse
SUPRA
Text files
ETL Tool
(Transform
and load)
SUPRA
Utilities
(Extract)
• Graphs, Crosstab reports and sub-report, grouping and
sorting features
• MDX and SQL wizards to assist in structuring queries to
produce exactly the desired results
• Variables can be added to the report for totals, averages
and counts to supplement the results from the query
Supported Platforms
Data Warehouse for SUPRA
Host Database
Operating System
z/OS
OpenVMS
HP-UX (Unix)
Database
SUPRA 2.7.00
SUPRA 2.5.00
SUPRA 1.3.10
Data Warehouse
Operating System
Windows
Added Value
• Efficient extraction using knowledge of PDM
structures
• Rich toolset for re-shaping the data into analytic
forms
• Cost effective, incremental packaging – install and
deploy just the components that you need
• Cincom Professional Services helps you “get it
right” the first time
Business Intelligence for SUPRA
Business Intelligence for SUPRA is a set of integrated data
access, ETL/data warehouse and analytics solutions. This
paper describes the features and functionality of the Data
Warehouse for SUPRA solution. For information on the
other solutions, ask your Cincom representative for the
following documents:
• Data Access for SUPRA Solution Overview (DB060822-2)
• Analytics for SUPRA Solution Overview (DB060822-4)
About Cincom
For nearly 40 years, Cincom’s software and services have
helped thousands of clients worldwide simplify the
management of complex business processes. Cincom
specializes in the areas of business where simplification
brings the greatest value to managers who want to grow
revenue, control costs, minimize risk and achieve rapid
ROI better than their competitors.
Cincom, the Quadrant Logo, SUPRA and Simplification Through Innovation are
registered trademarks of Cincom Systems, Inc. All other trademarks belong to
their respective companies.
© 2007 Cincom Systems, Inc.
FORM DB060822-3 2/07
Printed in U.S.A.
All Rights Reserved
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Fax 1-513-612-2000 • International 1-513-612-2769
E-mail [email protected] • http://www.cincom.com
Cincom serves clients on six continents including BMW,
Citibank, Boeing, Federal Express, Ericsson, Penn State
University, Milacron, Siemens, Rockwell Automation and
Trane.