Download Unit 10 Assignment Final Project IT521

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Unit 10 Assignment
Final Project
IT521-01N: Decision Support Systems (P)
Eleisha Barnett
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Table of Contents
Abstract…………………………………………………………………………….3
Vendor Tools and General Features……………………………………………..4
Table 1 Vendor Tools and General Features……………………………4
Embarcadero DB PowerStudio…………………………………………………..5
SAP NetWeaver BI………………………………………………………………..8
Microsoft SQL Server 2008……………………………………………………..11
Oracle Database 11g……………………………………………………………..12
Table 2 Oracle 11g Capabilities………………………………………...15
Implementation Plan…………………………………………………………….16
Table 3 Implementation Plan…………………………………………...16
Conclusion………………………………………………………………………..19
References………………………………………………………………………..21
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Abstract
This paper includes a discussion on tools and applications that support DSS, a success
story of a company that uses these applications, and the strengths and weaknesses of the
applications. Also included in this paper are DSS tools recommended for 7-Eleven to implement.
A detailed DSS implementation plan is included which shows tasks and durations of
assignments.
There are various tools we can use for making 7-Eleven’s decision support system fit the
needs and future needs of the corporation. We shall examine the tools we are considering for 7Eleven. It is recommended that 7-Eleven consider trial ware before making a large purchase in order
to review the applications to see if the applications meet company needs (Turban, et al, 2010). There
are a host of online reviews and trial ware to see before making a decision on any tool/application.
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Vendor Tools and General Features
In making recommendations for tools for 7-Eleven, we looked at the tools scalability,
integration, user-friendliness, modification of and creating 7 Eleven specific business rules and
elements, user interface, cost, ETL automation, can the tool work alone to provide what is needed, if
the application will work with existing software and hardware, and customer service (Barnett, 2011).
Table 1. Vendor Tools and General Features
Tools
General Features
Embarcadero
--Used to create entity relationship models
--A data modeling tool that can be used to
analyze and optimize existing databases
(Embarcadero, 2011)
Oracle Warehouse Builder 11g (Oracle
--Includes ETL automation
Database Enterprise Edition)
--Design time component
--Integration with other vendor tools
--Offer additional DW tools to accommodate
different industries (Oracle, 2011)
Microsoft SQL Server 2008
--User interface
--scalable to tens of terabytes
--integration with other DW tools
--supports: OLAP, BI, queries, advanced
analytical workloads, indexing, partitioning,
compression, caching (BIDW, 2011)
Cost range from free (developer tool) to
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$27K+ (Microsoft, 2011).
SAP Netweaver BI
--Can choose any of the following databases:
(IBM DB2, Oracle Database, Microsoft SQL
Server, and MaxDB)
--Row-based storage supporting capabilities
--Full integration with service oriented
architecture capabilities, application
platforms, BI, middleware, and desktop
software
Developer License Cost: $2300
(SearchSap.com, 2007).
Embarcadero DB PowerStudio
Embarcadero DB PowerStudio for Oracle is a highly-intuitive toolset that complements
Oracle Enterprise Manager with critical capabilities such as database change management and
SQL optimization and tuning (Embarcadero, 2011). Some of the features include:

a full-featured SQL IDE that helps you write quality SQL and PL/SQL faster

visual diagnostics that pinpoint problematic queries and determine best solutions

a single interface for working with multiple Oracle versions and databases

robust analytics which provide insight into database health (Embarcadero, 2011)
The real strength in Embarcadero is it is a real powerhouse optimizer for Oracle
databases that comes with support and real time solutions. There have been few issues reported.
There are no apparent weaknesses, if anything, Embarcadero exhibits a very strong dedication to
their customers and go above and beyond the usual level of support. In terms of a product
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review, we can look at it from a developer point of view. Developers working on a system that
involves different databases will need to speak several dialects of SQL and work with a variety
of schema. Embarcadero RapidSQL solves this by providing a single interface for coding and
debugging SQL and programmable functions such as stored procedures (Embarcadero, 2011).
Likewise, DB Optimizer will allow you to analyze and tune your SQL code while DB Change
Manager allows you to compare and track changes at schema and data levels across multiple
databases. Each of these tools is included in the Developer edition. A database administrator is
accountable for availability and faces real challenges managing a variety of database brands and
releases in a complex environment. DB Artisan is a prerequisite for this and is included in the
DBA edition of PowerStudio (Embarcadero, 2011). The database administrator also needs
visibility of SQL performance characteristics and remedies where appropriate so it also ships
with DB Optimizer. The Enterprise edition of Change Manager with its added ability to
schedule multiple change management tasks is included too (Embarcadero, 2011).
We might also keep in mind future DSS needs and scalability. In this case, Embarcadero
is well known for providing innovative tools to aid database design, development, deployment
and maintenance. Embarcadero is able to provide functionality and usability that reaches beyond
the scope of tools bundled with a specific vendor’s database. This is particularly relevant in
today’s complex computing environments where it is becoming less common to find architecture
tied to a single platform (Embarcadero, 2011). This is where a tool like Embarcadero DBArtisan
is really good. It allows a database administrator to manage heterogeneous databases from a
single interface which reduces the learning curve, complexity and risk, not to mention the costs
associated with each. In response to the growing requirement to support multiple database
environments, Embarcadero has introduced a more cost effective, multiplatform XE license.
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This negates the need to purchase a license for each flavor of database (Embarcadero, 2011).
More recently, they have bundled together a set of tools for specific database job roles. This is
PowerStudio XE which is available as a Developer or DBA edition. Embarcadero makes a real
effort to understand IT job roles, the people that fill them and issues they encounter. The XE
vision was well underway then to tackle multiplatform requirements and the recent release of
PowerStudio which helps align the various products with certain job roles, is further evidence of
this (Embarcadero, 2011). Another Embarcadero innovation, All-Access, bundles an assortment
of products with a licensing model (Tool Cloud) that provisions the tools to different project
workers on a ‘while I need them’ basis. Embarcadero is making it easier for project workers to
access the tools they need through more cost effective bundles and licensing models
(Embarcadero, 2011).
A few reviews testify to Embarcadero as a leader in the DSS business.:
"ER/Studio is THE software solution that helps me quickly make sense out of today's database
messes. Few software products can get you from overwhelmed to under control in so little time.
ER/Studio does not compromise on technical sophistication either - you can maintain as many
versions as you need and still keep everything at the logical level, well, logical. I LOVE your
product."
- Steve Malley, DBA since 1988, JP Morgan, Pacificorp, Columbia Sportswear, Intel, Fort
James Paper, WebTrends, WebCriteria, Microsoft, and other great companies. (Embarcadero,
2011)
With the onslaught of compliance regulations and the heightened need to understand and
document data sources, the task of effectively tracing data lineages has never been more
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important. With its new Visual Data Lineage functionality, ER/Studio 8.0 simplifies the way we
trace data movement among databases and flat files, which ultimately helps us better understand
the data assets within our government customers' organizations. This benefits us across
numerous domains - facilitating data consolidation, SOA migration, FISMA compliance, and
DIACAP needs.
- Ron Lewis, Senior Security Analyst, CDO Technologies. (Embarcadero, 2011)
Embarcadero clearly offered the best data modeling solution to meet our requirements.
ER/Studio matched our high-priority functional requirements including high-quality HTML,
mapping functions, and good metadata repository capabilities. Embarcadero ER/Studio does
exactly what it says on the tin, and stood up against our high expectations
- Barclays (Embarcadero, 2011)
SAP NetWeaver BI
SAP NetWeaver BI is a good recommendation for a data warehouse. SAP has more than
one product to assist with data warehousing. SAP NetWeaver BI can work with multiple
databases such as IBM DB2, Oracle Database, Microsoft SQL Server, and MaxDB. It has rowbased storage supporting capabilities, full integration with service oriented architecture (SOA)
capabilities, application platforms, BI, middleware, and desktop software (BIDW, 2010). This
tool can easily work as a one stop shop to building a successful data warehouse, especially with
its partnership with HP services. The combined SAP NetWeaver/HP services enable clients to
store increasingly large volumes of data on one system, allowing a single view of data
(Information Management.com, 2010). Netweaver’s Business Intelligence (BI) extends business
intelligence to all user types at all organizational levels. Some key features include:
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
Improved enterprise dashboards

Formatted reporting

Increased focus on user productivity

Enhanced information broadcasting

MS Outlook integration

More intuitive ad hoc analysis

Advanced Excel integration

Flexible data modeling capabilities

Web-based administration cockpit

Built-in PDF export capability (SAP, 2011)
The following are some of the techniques and tools to choose from with NetWeaver Business
Intelligence:
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Remodeling toolbox for InfoCubes

New archiving methodologies

New data transformation UI

Improved DataSource definition

Improved Business Explorer (BEx)

Query Designer

Exception information broadcasting

New BEx Report Designer and Web Application Designer

Application modeling with Visual Composer (SAP, 2011)
Molson Coors had quite the success story with NetWeaver. For Molson Coors, that
requires a high level of business insight which has been hampered by a complex supply chain
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comprising varied distribution channels spread across multiple geographies and reporting limited
to historical data. What the company needed was comprehensive, real-time visibility into its
global sales, supply chain, and production operations (SAP, 2011). To help it get there, Molson
Coors
undertook a pilot project of the SAP BusinessObjects Explorer software. Installing the SAP
BusinessObjects Explorer operational pilot took the company just one day. Molson Coors
already had in its system landscape the SAP NetWeaver Business Warehouse component where
the data was stored. To achieve accelerated data exploration, the company only needed to add the
SAP BusinessObjects Explorer software, which was installed on blade servers. The result: a
simplified, low-risk implementation (SAP, 2011).
Because it consolidates high volumes of live data from multiple sources, SAP
BusinessObjects Explorer provides the company with accurate, real-time visibility into its
inventory. It helps managers get immediate insight into current business conditions so they can
make better, more proactive decisions (SAP, 2011). With the new user interface, employees
simply type in the information they need to call up a newly generated report. Learning to create
the reports is just as fast as the process itself: users require just 15 minutes of recorded training to
get up to speed. As a result, the company’s IT staff, as well as dedicated “super users” who were
formerly responsible for reporting, no longer have to build and validate reports for business
users. In fact, the company has reduced the time it takes to validate its market share reports from
one day to just 30 minutes (SAP, 2011).
SAP BusinessObjects Explorer can rapidly aggregate high volumes of data, therefore the
company is able to unlock a wealth of information stored throughout its software applications
and identify gaps in data metrics to improve reporting. For example, the software alerts users to
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master data issues with product material codes, enabling the supply chain team to quickly resolve
any discrepancies (SAP, 2011).
Microsoft SQL Server 2008
With upcoming release of the latest version of Microsoft SQL Server, the R2, Microsoft
continues to build on the Information Platform Vision by enabling businesses to deliver near
real-time information through rich applications (Microsoft, 2011). Not only does SQL Server
offers a complete approach to managing, accessing and delivering information across the
organization; but now the power of SQL Server is extending to the Cloud through SQL Azure.
SQL Azure provides a consistent program model and common tools while offering new business
opportunities, high availability, and massive scale through distributed data services. Microsoft
offers a high level of scalability, performance, availability, and security at a much lower cost of
ownership. A comprehensive interoperable platform highly productive and agile is a feature of
this server. There are several tools within this family to develop a dynamic IT platform, and a
complete business intelligence platform (Microsoft, 2011).
Some success stories include: Energizer Holdings manufactures batteries, flashlights, and
other consumer products that are sold in more than 160 countries. Operating in diverse types of
markets, Energizer needed a low-cost, localized, easy-to-use enterprise resource planning (ERP)
solution for some of its global locations. It chose a solution from Epicor, a Microsoft Gold
Certified Partner (Microsoft, 2011). Energizer implemented the Epicor solution for one-third to
one-half the cost of a typical ERP system. The solution came ready to handle country-specific
languages, regulations, and controls. It is tightly integrated with Microsoft products, which
means that Energizer employees can access its information in the Microsoft tools they use every
day. Energizer also gained a productive partnership with the Epicor product development group
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and has used the Epicor solution’s enhancements to improve its decision making (Microsoft,
2011).
Samsung Electronics, a leading Korean company as well as a symbol of the IT industry,
carried out an innovative project to strengthen its global Supply Chain Management (SCM)
execution ability, gaining the industry’s interest. Samsung Electronics decided to implement an
action-oriented BI solution that enables on-demand changes of business management plans and
reflects these adjustments (Microsoft, 2011). As such, it decided to deploy SQL Server 2008,
which can satisfy all three major requirements of BI solution, including ‘performance and
reliability’, ‘cube write-back’ and ‘user convenience’, and the company is thoroughly
experiencing the benefits of this IT innovation. With this system implementation, Samsung
Electronics expects to increase its forecast accuracy for product demands by more than 20
percent (Microsoft, 2011)
On a plus side, Microsoft SQL Server 2008 provides a data platform with many
advantages and business benefits including better security, performance and scalability,
developer productivity, and Business Intelligence tools (BI), all at a lower total cost of
ownership. On the minus side, custom systems cannot be built as easily because Microsoft does
not integrate into some systems very well.
Oracle Database 11g
This is why my recommendation should be Oracle Database 11g. Microsoft SQL Server
2008 would seem like the ultimate end product, the only tool you will ever need but we must
keep an open mind for future scalability here. Oracle 11g, as well as other related Oracle
products, integrates seamlessly with other corporation’s products as well requiring very little
debugging with other systems. Let’s face it, ten years down the road, you may need to upgrade
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and you may require more than your system’s maker may be able to provide, but it’s still good of
a system to just replace altogether and why would you want to? Also, while cost is not an issue
now, it might be an issue later on and you certainly do not want to spend a lot of money on total
replacement when upgrade parts might do. Therefore, it’s my reasoning that you should use a
system that can integrate with other manufacturer’s systems (Barnett, 2011). These other features
also make Oracle 11g an attractive deal:

Get extreme performance and scalability for data warehouses

Manage integration and loading of quality data with Oracle Data Integrator
Enterprise Edition

Improve data warehouse performance, availability, and manageability by partitioning
large tables

Find hidden patterns and insights in your data warehouse with Oracle Data Mining

Execute analytics faster with cube-organized materialized views (Oracle, 2011)
Two success stories show how quickly and inexpensively Oracle 11g can be implemented
and with low risk.
Retail distributor Metcash, owner of IGA distribution and IGA Fresh, this week revealed
it had migrated to Oracle's Database 11g from 10.2g earlier this year (Oracle, 2011). The
migration to 11g took a total of 12 weeks, while testing in Metcash's production environment
with the systems running in parallel took six weeks. Metcash's 11g went into production in
February this year. Metcash's use of Oracle's programming tool Warehouse Builder, which
automatically regenerated code from the source 10.2g database to the target 11g database, meant
programmers weren't required for the task. Benefits to Metcash included reducing batch report
production time, cutting out the use of Excel spreadsheets, and the ability to store more data
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online. Other performance benefits came from query caching, which helped avoid duplicating
retrieval as well as the ability to make structural changes to the database without having to
rebuild the "materialized database view aggregate”, a process that used to take 24 hours (Oracle,
2011). The takeaway from all this is OWB made it easy to build a faster, more flexible data
warehouse that leveraged the 11g database on a short schedule, with minimal development costs,
low overall migration costs, and low project risk.
Now on the international front: Allegro Group, one of the world’s largest internet auction
sites and the largest e-commerce company in Eastern Europe, selected the HP Oracle Database
Machine and its revolutionary data warehouse architecture for one primary reason: to obtain
precise information to make precise business decisions (Oracle, 2011).
In December 2008, Allegro Group deployed the HP Oracle Database Machine and began
generating operational and statistical reports using Oracle Business Intelligence Suite, Enterprise
Edition Plus. Allegro Group also created an interface to its existing systems using Oracle
Warehouse Builder, a core component of Oracle Database 11g. Each day, Oracle Warehouse
Builder automatically loads production data into Allegro Group’s Oracle data warehouse, which
already holds more than 7TB of data on the HP Oracle Database Machine. Allegro Group saw a
significant performance boost from the new data warehouse. The results: a query that used to
take 24 hours to complete now runs in less than 30 minutes on the HP Oracle Database Machine
without any manual query tuning (Oracle, 2011).
Oracle 11g includes ETL automation, has design time components, can be integrated with
other vendor tools such as SAP and DB2, and has other modules that can be purchased. Oracle
Warehouse Builder 11g is a data warehousing-centered data modeling and data integration solution,
built into every Oracle 11g database (Oracle, 2011.). Table 2, below, from Oracle’s website, is a list
of OWB’s capabilities (Oracle, 2011.).
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Table 2 Oracle 11g Capabilities
Data Warehousing and BI
Data Integration and ETL
Relational and dimensional modeling
In-database EL-T processing (Oracle
and non-Oracle)
Support for OLAP and cube organized
Connectivity and data movement
MVs
choices, including gateways, JDBC,
and bulk data loads
Maximum exploitation of Oracle data
CDC and real-time data movement
warehousing features
options (including Oracle GoldenGate
integration)
Data warehousing-specific operators
Native data type support for non-Oracle
for loading cubes and dimensions
database platforms
SCD type 2 and 3 modeling and
Best-for-Oracle code generation,
loading support
including row-based PL/SQL and setbased SQL options
Oracle Spatial transformations
Native SQL code generation for nonOracle data bases
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Oracle BI tool integration (Discoverer
Oracle and SAP ERP application
and OBI-EE)
sources
Metadata management, data lineage,
One ETL mapping paradigm for all
impact analysis and change propagation data movement/loading modes
for complex designs
Fuzzy matching and merging
Flexible flat file and XML loading and
unloading options
Integration with third-party name and
Basic Web Services
address cleansing products
Implementation Plan
Setting up a schedule for task durations is important in trying to stay within budget and to
ensure the data warehouse is built in a timely manner. Keep in mind that the schedule will
change due to unforeseen constraints and that some tasks can be completed simultaneously.
Table 3, shows general task durations created in MS Project (Global Data Consulting, 2011)
Table 3 Implementation Plan
Task Name
Duration
Start
Finish
7Eleven Project Plan
272 days
04/25/11
01/24/12
Solution Outline
26 days
04/25/11
05/16/11
Business Discovery
5 days
04/25/11
04/30/11
Business Analysis
5 days
04/25/11
04/30/11
Technical Environmental Analysis
5 days
04/25/11
04/30/11
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Project Outline
15 days
04/25/11
05/10/11
Project Organization
3 days
05/02/11
05/04/11
Roles and Responsibilities
1 day
05/05/11
05/05/11
Project Plan Definition
3 days
05/06/11
05/08/11
Technical Architecture Specification
2 days
05/11/11
05/12/11
Business Scope Definition
10 days
05/11/11
05/24/11
Reports Specification
5 days
05/11/11
05/17/11
Analytical Tool Specification
2 days
05/18/11
05/19/11
Dashboard Specification
2 days
05/20/11
05/21/11
Other Functional Specification
1 day
05/24/11
05/24/11
Technical Environment Deployment
14 days
05/11/11
05/25/11
Platform Software Installation
5 days
05/11/11
05/17/11
Platform Software Configuration
2 days
05/18/11
05/19/11
Technical Environment Testing and
1 day
05/20/11
05/20/11
Business Requirements Analysis
17 days
05/20/11
06/13/11
Detail Report Functional Analysis
15 days
05/20/11
06/09/11
Detail Analytical Application
5 days
05/20/11
05/24/11
Detail Dashboard Functional Analysis
2 days
05/16/11
05/17/11
Detail Other Functional Analysis
5 days
05/20/11
05/24/11
Data Source Analysis
33 days
05/11/11
06/24/11
Basic Information (platform, purpose)
2 days
05/11/11
05/12/11
Acceptance
Functional Analysis
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Static Characteristics
2 days
05/13/11
05/16/11
Dynamic Characteristics
2 days
05/17/11
05/18/11
Entity Level Analysis
17 days
05/19/11
06/10/11
Domain Specific Analysis
10 days
06/13/11
06/26/11
Data Warehouse Model Design
32 days
05/16/11
06/28/11
Logical Design
27 days
05/16/11
06/22/11
Metadata Design
0 days
05/16/11
05/16/11
Fundamental Entities Design
5 days
05/16/11
05/20/11
Profile Entities Design
2 days
05/23/11
05/24/11
Mappings to the Data Warehouse Model 50 days
05/25/11
08/02/11
Mappings Requirements to DW Model
10 days
05/23/11
06/03/11
Mapping of Fundamental Entities
10 days
05/23/11
06/03/11
Mapping of Profile Entities
2 days
06/06/11
06/07/11
Mapping of Associations
10 days
06/06/11
06/17/11
Mapping of Classifications
50 days
06/20/11
08/26/11
Build Cycle
128 days
08/10/11
12/14/11
Making Functional Specification
40 days
08/11/11
10/06/11
Infrastructure Development
0 days
08/10/11
08/10/11
ETL Development
80 days
08/05/11
08/28/11
OLAP Development
30 days
10/25/11
12/06/11
Front End Development
30 days
11/14/11
12/26/11
Other Application Development
30 days
10/05/11
11/15/11
of Software
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QA Approval
8 days
11/16/11
11/28/11
Technical Deployment
23 days
11/28/11
11/28/11
Software Modules Deployment
5 days
11/26/11
11/30/11
QA Test
1 day
12/03/11
12/03/11
Initial Load of Data Warehouse
15 days
12/06/11
12/26/11
Solution Presentation
2 days
12/27/11
12/28/11
End User Training
8 days
12/29/11
01/09/12
Training Environment Deployment
1 day
12/29/11
12/29/11
Training
5 days
12/30/11
01/05/12
Stabilization
15 days
12/29/11
01/18/12
Testing
15 days
12/29/11
01/18/12
Bug Testing
10 days
12/29/11
01/11/12
Functional Testing
10 days
12/29/11
01/11/12
Data Quality and Accuracy Testing
15 days
12/29/11
01/18/12
Final Acceptance
2 days
01/19/12
01/20/12
Official Presentation
1 day
01/21/12
01/21/12
Project Closure
1 day
01/24/12
01/24/12
Conclusion
Planning a data warehouse or other DSS support application is a difficult task, but can be
accomplished successfully when the right information and tools are available and used. There are
hundreds of tools available to assist with DSS; it’s a matter of building the right system for 7
Eleven’s current and future needs. I am sure that once the system is in place and your personnel
are properly trained in its usage, you will find your personnel using the DSS for just about
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everything and very likely find new and better uses for your DSS. This is all dependent on proper
training and usage and proper entry and maintenance of quality data. DSS, implemented and
used properly, will help 7 Eleven increase both in productivity and profits (Barnett, 2011).
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