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An update from Mike Hichwa (Oracle) on the introduction of the "Always Free" Autonomous Database at Oracle Openworld19. See how to sign up for always free Oracle Cloud Infrastructure (OCI) services. Kind of an illustrated quick start. See how to provision an Autonomous Database. See how to use and access Oracle APEX. Learn Oracle APEX architecture overview including the "RAD stack". Also a quick introduction to new APEX 19.2 and faceted search. #ORCLAPEX, #autonomousDB, #OOW19, @oracleapex. ORDS, Oracle REST Data Services.
The Spare Parts business process at a leading single-point provider of automated handling solutions was built utilizing a custom application that only one person could support. It relied on nightly updates of data from Oracle and had a number of manual processes that could introduce inconsistencies to the data that was then sent to customers. A new tool was built utilizing Oracle APEX that pulls data in real-time from the Oracle Inventory, PIM, Advanced Oracle Pricing and Order Management. APEX out of the box provides analytic tools for pivoting and building reports to help manage the process. The new tool also calls Oracle APIs to update UDAs and Generate Pricing for all parts that are being sent to the Customer. This presentation will show what was built for the company, and features that are inherent within Oracle APEX.
A top U.S.-based manufacturer had item descriptions that were inconsistent, vague, duplicate, and incomplete. They were preparing to launch a new web store using iStore and needed to have parts categorized properly. This session describes the journey to categorize items, generate standard descriptions and integrate the data to iStore by syncing items from ICCs in PIM to iStore sections, and building out a taxonomy that would make sense to both business users, as well as customers. Using the methodical creation of a taxonomy and schema structure of PIM UDAs to generate item descriptions by leveraging the attribute values and functions in PIM resulted in higher customer satisfaction rates and reduced duplication.
An update from Mike Hichwa (Oracle) on the introduction of the "Always Free" Autonomous Database at Oracle Openworld19. See how to sign up for always free Oracle Cloud Infrastructure (OCI) services. Kind of an illustrated quick start. See how to provision an Autonomous Database. See how to use and access Oracle APEX. Learn Oracle APEX architecture overview including the "RAD stack". Also a quick introduction to new APEX 19.2 and faceted search. #ORCLAPEX, #autonomousDB, #OOW19, @oracleapex. ORDS, Oracle REST Data Services.
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Watch this on-demand recording to see an overview of the latest Oracle Business Intelligence Applications architecture as well as a detailed look into each of the components of the new BI Apps. Vikas Agrawal (KPI) and Hari Cherukupally (Oracle) explore:
ODI for BI Apps architecture
Components of the BI Applications
Integration with operational systems: Is this supported ERP/CRM sources or application integration?
Fusion Middleware components: How is this different from OBIA components?
Enabling insight & alignment across business functions with OBIA
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Vikas Agrawal, VP Applications, KPI Partners
Hari Cherukupally, Principal Product Strategy Manager, Oracle
***First Half***
Introduction to Oracle Fusion Middleware and Oracle ADF
Getting started with JDeveloper
Building a Business Model with ADF Business Components
Querying and persisting data
Exposing Data
Declaratively Customizing Data Services
Programmatically Customizing Data Services
Validating User Inputs
***Second Half***
Understanding UI Technology
Binding UI Components to Data
Planning the User Interface
Passing values between UI Elements
Responding to Application Events
Implementing Transactional Capabilities
Session given at Utah Big Mountain Data & Dev on Nov 10, 2017.
Agenda:
Analytic functions
Aggregate functions
Pivoting
Pattern Matching
Fit
Predictive Queries
Regression
Statistical Funcations
About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
Unpacking The New Oracle BI Apps (Now With ODI!)KPI Partners
http://www.kpipartners.com/watch-unpacking-the-new-oracle-bi-apps-now-with-odi ... The new release of the Oracle BI Applications (11.1.1.7.1) now leverages Oracle Data Integrator (ODI). This huge development means that ODI can alternatively be utilized as the primary data integration tool over Informatica. ODI and its Extract-Load-Transform functionality could provide customers a setup that delivers increased performance and reduced data integration costs.
Watch this on-demand recording to see an overview of the latest Oracle Business Intelligence Applications architecture as well as a detailed look into each of the components of the new BI Apps. Vikas Agrawal (KPI) and Hari Cherukupally (Oracle) explore:
ODI for BI Apps architecture
Components of the BI Applications
Integration with operational systems: Is this supported ERP/CRM sources or application integration?
Fusion Middleware components: How is this different from OBIA components?
Enabling insight & alignment across business functions with OBIA
Guests:
Vikas Agrawal, VP Applications, KPI Partners
Hari Cherukupally, Principal Product Strategy Manager, Oracle
***First Half***
Introduction to Oracle Fusion Middleware and Oracle ADF
Getting started with JDeveloper
Building a Business Model with ADF Business Components
Querying and persisting data
Exposing Data
Declaratively Customizing Data Services
Programmatically Customizing Data Services
Validating User Inputs
***Second Half***
Understanding UI Technology
Binding UI Components to Data
Planning the User Interface
Passing values between UI Elements
Responding to Application Events
Implementing Transactional Capabilities
Session given at Utah Big Mountain Data & Dev on Nov 10, 2017.
Agenda:
Analytic functions
Aggregate functions
Pivoting
Pattern Matching
Fit
Predictive Queries
Regression
Statistical Funcations
About us
BISP is an IT Training and Consulting Company. We are Subject Matter Experts for DHW and BI technologies. We provide Live virtual Online global IT support and services like online software training, live virtual online lab services, virtual online job support with highly intellectual professional trainers and skilled resources , predominantly In Oracle BI, Oracle Data Integrator, Hyperion Product stack, Oracle Middleware solution, Oracle SoA, AIA Informatica, IBM Datastage and IBM Cognos .
BISP has footprints virtually across USA, CANADA, UK, SINGAPORE, SAUDI ARABIA, AUSTRALIA and more by providing live virtual support services from India for fresh graduates, opt students, working professionals etc. Being a live virtual online training the support , training and service methodology is just click away considerably reducing your TIME,INFRASTRUCTURE and Cost effective.
Cameron Hawthorne - E Bus Sales analysis with Olap and DiscoInSync Conference
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This presentation will showcase a recent solution that was developed to perform Sales and Purchases data analysis using Discoverer, the OLAP Option, and Oracle Warehouse Builder.
It will provide a detailed look at how to bring such a solution together and help your organisation achieve similar query performance improvements.
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Marvin neemt je in deze presentatie mee in de voordelen van non-endemic advertising op retail media netwerken. Hij brengt ook de uitdagingen in beeld die de markt op dit moment heeft op het gebied van retail media voor niet-leveranciers.
Retail media wordt gezien als het nieuwe advertising-medium en ook mediabureaus richten massaal retail media-afdelingen op. Merken die niet in de betreffende winkel liggen staan ook nog niet in de rij om op de retail media netwerken te adverteren. Marvin belicht de uitdagingen die er zijn om echt aansluiting te vinden op die markt van non-endemic advertising.
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1. Understanding an OLAP Solution
from Oracle
An Oracle White Paper
April 2008
Understanding an OLAP Solution from Oracle
2. NOTE:
The following is intended to outline our general product direction. It is intended
for information purposes only, and may not be incorporated into any contract. It is
not a commitment to deliver any material, code, or functionality, and should not be
relied upon in making purchasing decisions. The development, release, and timing
of any features or functionality described for Oracle’s products remains at the sole
discretion of Oracle.
Understanding an OLAP Solution from Oracle Page 2
3. Table of Contents
Introduction ....................................................................................................... 4
Similarities between the Oracle Database OLAP Option and Oracle’s
Hyperion Essbase ......................................................................................... 5
Commitment to Product Development .................................................... 5
Overview............................................................................................................. 5
Architectural Heritage.................................................................................. 5
Oracle’s Hyperion Essbase: Middle Tier OLAP...................................... 5
Oracle Database OLAP Option: Database-Centric OLAP.................... 6
Architecting the Appropriate Oracle OLAP Solution................................. 6
The Purpose................................................................................................... 7
Oracle’s Hyperion Essbase..................................................................... 7
Oracle Database OLAP Option............................................................. 7
The Buyer....................................................................................................... 8
Oracle’s Hyperion Essbase..................................................................... 8
Oracle Database OLAP Option............................................................. 9
Typical End Users....................................................................................... 10
Oracle’s Hyperion Essbase................................................................... 10
Oracle Database OLAP Option........................................................... 10
Typical Front Ends..................................................................................... 11
Oracle’s Hyperion Essbase................................................................... 11
Oracle Database OLAP Option........................................................... 12
Data Management....................................................................................... 13
Oracle’s Hyperion Essbase................................................................... 13
Oracle Database OLAP Option........................................................... 14
ORACLE OLAP CASE Studies................................................................... 14
Oracle’s Hyperion Essbase Case Studies................................................. 14
Southwest Airlines.................................................................................. 14
Land O’ Frost ......................................................................................... 15
Oracle Database OLAP Option Case Studies........................................ 16
Ford Motor Company ........................................................................... 16
The Gallup Organization ...................................................................... 17
Better Together................................................................................................ 18
Conclusion........................................................................................................ 19
About Oracle Corporation............................................................................. 19
Understanding an OLAP Solution from Oracle Page 3
4. Understanding an OLAP Solution from Oracle
INTRODUCTION
The twin pillars of the Oracle OLAP (Online Analytical Processing) solution are
Oracle’s Hyperion Essbase and Oracle Database 11g OLAP Option. Like twins,
they share similar characteristics; however they are individuals with their
differences.
This white paper discusses these two Oracle OLAP solutions.
The term online analytic processing (OLAP) describes a category of business
intelligence (BI) software that supports activities ranging from self-service reporting
and analysis, to comprehensive planning and budgeting systems. The OLAP
category is not monolithic; there are many different types of OLAP products, each
of which seek to provide solutions to certain problems and to service certain user
communities.
What OLAP products have in common is the ability to support business users with
a user experience that is highly interactive. Beyond that, OLAP products can differ
significantly in terms of user experience, performance, analytic capabilities, target
audiences, and architecture. For example, some OLAP products simply provide a
dimensional query model for data stored in relational tables as a means of
presenting data to business users in a way that is easy for users to define their own
queries and navigate data interactively. This OLAP product differs from one that
also provides performance benefits and rich analytical capabilities. It is also very
different from an OLAP product that is designed to support a planning and
budgeting application.
With the acquisition of Hyperion Systems in 2007, Oracle finds itself owning the
two most capable OLAP products on the market—Essbase and the OLAP Option
to the Oracle Database. While both products fall within the OLAP category and
have some similar capabilities, they are different in significant ways. This paper will
help the reader understand where these products are similar and where they differ.
Most importantly, it will help the reader architect the Oracle OLAP product that is
most appropriate for his or her application.
Understanding an OLAP Solution from Oracle Page 4
5. Similarities between the Oracle Database OLAP Option and Oracle’s
Hyperion Essbase
It is useful to begin the discussion with the similarities between the Oracle
Database OLAP Option and Oracle’s Hyperion Essbase. Both are servers (rather
than end user GUI reporting tools) and have the capability of storing data in cubes
and dimensions. As such, they share some similar capabilities, including:
• Excellent query performance for queries that require summary level data.
• Fast, incremental update of data sets that is required to facilitate frequent data
updates.
• Rich calculation models that may be used to enrich cubes with analytic
content.
• A dimensional model that presents data in a form that is easy for business
users to query and define analytic content.
Because Oracle’s Hyperion Essbase and the Oracle Database OLAP Option are
both servers and provide these core capabilities, it might be easy to think of them
as being so similar as to be interchangeable. This is not the case. Each product
focuses on delivering OLAP capabilities into different types of applications and for
different classes of users and buyers.
Commitment to Product Development
Both Oracle’s Hyperion Essbase and the Oracle Database 11g OLAP Option are
strategic, go-forward products for Oracle. What this means is that both products
will continue to have substantial investments made to enhance both the
performance and scalability of the two products. As a result, there should be no
doubt that both Oracle’s Hyperion Essbase and the Oracle Database OLAP
Option are strategic products that will be developed, supported, and used within
the Oracle product line for the foreseeable future.
OVERVIEW
Architectural Heritage
Both Oracle’s Hyperion Essbase and the Oracle OLAP Option were two of the
leading OLAP engines. Both store information in a multidimensional format.
However, given the product strategy of the two companies, the products have
taken two different paths.
Oracle’s Hyperion Essbase: Middle Tier OLAP
Oracle’s Hyperion Essbase comes from a history of OLAP applications based in
the middle tier. The strategy of Hyperion Essbase centers on custom analytics and
BI applications with a focus on enterprise performance management (EPM). This
strategy addresses the what-if, modeling, and future-oriented questions that
companies need answered today in order to see into the future.
Understanding an OLAP Solution from Oracle Page 5
6. Typically, Essbase applications are started and maintained by business analysts. The
buyer is usually in the line of business (LoB). The typical end users are line of
business users who query and create data with the Essbase tools and Hyperion
applications. The line of business typically has a large degree of uncertainty and
needs to understand a dynamic and changing environment;
The data management strategy allows Oracle’s Hyperion Essbase to easily combine
data from a wide variety of data sources, including the Oracle Database. Oracle’s
Hyperion Essbase is part of the Fusion Middleware architecture.
Essbase is the OLAP server that provides an environment for rapidly developing
custom analytic and enterprise performance management applications.
Oracle Database OLAP Option: Database-Centric OLAP
The purpose of Oracle OLAP is to improve the performance and analytic content
of SQL-based BI applications.
The typical end user is a SQL-based BI tool user who queries data in the Oracle
Database. The data management strategy has been optimized for data in the Oracle
Database. Oracle OLAP is part of the Oracle OLAP option in the Oracle RDBMS
architecture.
ARCHITECTING THE APPROPRIATE ORACLE OLAP SOLUTION
This paper suggests five questions one should ask when deciding which Oracle
OLAP solution is correct for a specific application:
• What is the purpose of the application?
• Who is the buyer of the application and who will support it?
• Who is the end user, what needs to they have and what tools will they use?
• How will the application acquire and manage data?
• Is the application best served by a middle tier or database OLAP architecture?
In order to highlight the differences between Oracle’s Hyperion Essbase and
Oracle OLAP, let us view five aspects of the Oracle OLAP solution: the purpose,
buyer, typical end user, typical front end, and data management.
Understanding an OLAP Solution from Oracle Page 6
7. Oracle’s Hyperion
Essbase
Oracle Database OLAP
Option
Purpose
Custom analytic & BI
applications with a focus on
EPM; built and maintained by
analysts
Improves the performance
and analytic content of
SQL-based BI applications
Buyer Line of business (LoB) IT
Typical End Users
LoB users who query and
create data within Essbase
tools and OLAP applications
Users of SQL-based
business intelligence tools
who query data in the
database
Data Management
Strategy
Easily combine data from a
wide variety of data sources
Optimized for data in the
Oracle Database
Architecture
OLAP in a server, part of
Fusion Middleware
OLAP in the Oracle
Database
Figure 1: Oracle’s Hyperion Essbase and Oracle Database OLAP Option Comparison
The Purpose
Oracle’s Hyperion Essbase
Oracle’s Hyperion Essbase is designed to support custom analytic and business
intelligence applications, with a particular focus on EPM applications. EPM
applications often require complex data calculation models. For example, EPM
applications have a calculation model that solves a chart of accounts, income
statement or balance sheet. The definition of calculation models within an EPM
application is implemented by the line of business. The Essbase Outline Editor, the
primary modeling tool of Oracle’s Hyperion Essbase, is designed allow the line of
business user to create and manage complex calculation models; programming skills
are not required.
As a platform for EPM applications, Oracle’s Hyperion Essbase provides the ability
to easily consolidate data from a wide variety of data sources—relational database,
general ledgers, spreadsheets, and so forth—into a line of business view of the data.
Oracle’s Hyperion Essbase tools are oriented for a business user, rather than a
highly trained technician. Oracle’s Hyperion Essbase also provides the line of
business with capabilities to build custom analytic applications.
Oracle Database OLAP Option
The OLAP Option to the Oracle Database is designed to improve SQL-based
business intelligence tools with improved query performance and enhanced analytic
content. The Oracle Database OLAP Option cubes are most often used within an
Oracle data warehouse and are designed to improve the performance and analytic
content of BI tools such as Oracle Business Intelligence Enterprise Edition, Micro
Strategy, and Business Objects.
Understanding an OLAP Solution from Oracle Page 7
8. Oracle Database OLAP Option cubes efficiently manage summary data for
dimensionally modeled data, such as star and snowflake schemas. The Oracle
Database OLAP Option cube can be introduced transparently to SQL-based BI
tools as a cube-organized, materialized view—in which case the SQL-based BI
application queries relational tables with SQL, and the Oracle Database
automatically rewrites queries requiring summary data to the cube. In this case, the
OLAP Option cube simply acts as a summary management solution.
The Oracle Database OLAP Option cube is also used to enhance the analytic
content of the Oracle data warehouse and SQL-based applications. In this use of
the Oracle Database OLAP Option cube, analytic functions (for example, time
series calculations) are defined within the cube and the data of the cube is presented
in relational views (like a star schema). The SQL-based BI application queries the
relational views of the cube direction (using SQL, of course) and benefits both the
content and query performance of the Oracle Database OLAP Option cube.
The Purpose
Oracle’s Hyperion Essbase Oracle Database OLAP Option
Provides line of business (LoB) with
the capability to build custom analytic
applications with complex calculations
Provides IT with the ability to enhance
the performance and analytic content of
the Oracle Database
Provides a platform for enterprise
performance management (EPM)
applications
Improves SQL-based business
intelligence tools with enhanced query
performance and analytic content
Consolidates a variety of different
data sources in the LoB view of data
Centralizes data, metadata, and business
rules within the Oracle Database
Figure 2: The Purpose
The Buyer
Oracle’s Hyperion Essbase
The typical buyer of Oracle’s Hyperion Essbase, the line of business is the direct
beneficiary of the EPM application and has the business expertise to design and
implement it. As result, it has a critical need to acquire and own the EPM
application and its foundation. The LoB benefits from a solution that is easily
managed by business users and can be deployed without extensive support from
IT.
The line of business that deploys an EPM application has special interest in:
• Performance management applications.
• What-if capabilities such as write-back and allocations.
• Pre-built applications and Microsoft Excel query and data entry.
• Tools appropriate for line of business users.
Understanding an OLAP Solution from Oracle Page 8
9. • The ability to consolidate data from disparate systems, with limited support
from IT.
Essbase is designed from the ground up for use by lines of business. The
administrative tools of Essbase are designed for business users. Data loading
features support a wide range of data sources, including Excel. Packaged
applications and Excel interfaces are also provided.
Oracle Database OLAP Option
The IT organization is the typical buyer of the OLAP Option. Enhancing the
Oracle data warehouse and improving the BI tools that query the data warehouse
are the primary interests of the information technology (IT) department. While end
users certainly benefit from improved query performance and analytic content, it is
the IT group that is responsible for managing the data warehouse and benefits most
from a solution that is embedded in the data warehouse. As an embedded
component of the Oracle data warehouse, the IT department has special interest in:
• Using the cube as a summary management solution for dimensionally
modeled data.
• Extending the data warehouse with enhanced analytic content.
• Consolidating the management of data, metadata and calculations within the
database.
• Having the ability to query OLAP cubes with SQL-based BI tools and Excel.
• Leveraging existing infrastructure for an incremental, cost-effective solution.
The Oracle Database OLAP Option, as an embedded component of the Oracle
Database, is designed to meet the requirements of IT. Cube-organized, materialized
views allow the cube to be used as a summary management solution. The SQL
interface to cubes supports SQL-based BI tools. IT organizations simply use a
feature of the Oracle Database they already own, thus leveraging the investment in
the Oracle Database and the database administrators (DBAs) who already manage
it.
Understanding an OLAP Solution from Oracle Page 9
10. The Buyer
Oracle’s Hyperion Essbase Oracle Database OLAP Option
Primarily LoB (Occasionally IT) Primarily IT (Occasionally LoB)
Special Interest in:
• Performance management
applications
• Advanced write-back
capabilities and allocations
• All available via Excel or
pre-built applications
• Designed and built by the LoB
with limited IT Support
• Using data from disparate
systems
Special Interest in:
• Summary management solution
for database
• Extending the database with
analytic content
• Centralized management of data
• Querying analytic content using
Excel and SQL-based BI tools
• Leveraging existing infrastructure
• Incremental, cost-effective
solutions
Figure 3: The Buyer
Typical End Users
Oracle’s Hyperion Essbase
The typical end user of Oracle’s Hyperion Essbase comes from the business side,
such as a business analyst, financial analyst, quantitative end user, or professional in
business or executive management. The implementer of a Hyperion Essbase-based
solution is typically the same LoB user that uses the EPM applications and end-user
query and reporting tools. This user is likely to be a skilled financial analyst or other
business-oriented user with strong quantitative and analytical skills. For example,
the implementer of Oracle’s Hyperion Essbase solution might be financial analysts
that need to grown beyond Excel’s ability to support a scalable and collaborative
analysis or planning system. IT might be involved in hosting the Essbase-based
application, but usually does not manage the content of the system.
The end users of Oracle’s Hyperion Essbase applications and business intelligence
tools can include anyone in the organization ranging from operations to executive
management.
Oracle Database OLAP Option
The implementer of an Oracle Database OLAP Option-based solution is typically
an IT professional—most often a data warehouse designer, application developer,
or database administrator. This user typically has database and SQL skills. Often,
but not always, the Oracle Database OLAP Option implementer will have
programming skills. The Oracle Database OLAP Option implementer might be the
Understanding an OLAP Solution from Oracle Page 10
11. same professional that deploys and manages middle tier BI tools such as Oracle
Business Intelligence Enterprise Edition, Business Objects, Cognos, or
MicroStrategy. A line of business user might be involved in the design of the
business model on which the cube will be based.
The end users of Oracle Database OLAP Option applications and BI tools can
include anyone in the organization ranging from operations to executive
management.
Typical End Users
Oracle’s Hyperion Essbase Oracle Database OLAP Option
LoB analyst
End users of SQL-based query and
reporting tools and applications
Financial analyst SQL application developer
Quantitative end user Oracle Database administrator (DBA)
LoB management Some LoB users for cube design
Executive management
Figure 4: Typical End Users
Typical Front Ends
Oracle’s Hyperion Essbase
The typical front end of Oracle’s Hyperion Essbase is Microsoft Office, including
Excel, OBIEE+ (Oracle’s Hyperion Reporting tools) and/or search engines such
as Google OneBox or Oracle Secure Enterprise Search.
When it comes to the business intelligence tools market, it is likely that the tools
that will be used in the BI solution will influence the selection of the OLAP
solution. The end-user community may have a preference for a specific tool. It is
important that the OLAP solution support tools that the end-user community
already has in place. The ability to use Microsoft Excel as a front end is a near
universal requirement. Oracle’s Hyperion Essbase was designed with Microsoft
Excel has its fundamental access tool.
Oracle’s Hyperion Essbase utilizes open platforms that support industry standard
query languages and APIs. As a result, a wide variety of BI tools can be used to
query Oracle’s Hyperion Essbase solution.
Oracle’s Hyperion Essbase has long been a key component of the Hyperion
business intelligence tools stack. Front end tools utilized are:
• Microsoft Excel
• Hyperion Web Analyzer
Understanding an OLAP Solution from Oracle Page 11
12. • Hyperion Interactive Reporting
• Hyperion Visual Explorer
• Hyperion Smart Space
• Google OneBox and Oracle Secure Enterprise Search
Oracle Database OLAP Option
Oracle Database OLAP Option utilizes open platforms that support industry
standard query languages and APIs. Oracle Database OLAP Option cubes can be
queried with SQL. As a result, a wide variety of BI tools can be used to query each
OLAP product.
As mentioned above, when it comes to the business intelligence tools market, it is
likely that tools used in the BI solution will influence the selection of the OLAP
solution. The ability to use Microsoft Excel as a front end is a near universal
requirement and Oracle Database OLAP Option cubes can be queried with it.
The OLAP Option, as a component of the Oracle Database, has been designed be
used by the business intelligence tools that are used to query the data warehouse
using SQL and the Oracle OLAP API. These include:
• Microsoft Excel
• Oracle Business Intelligence Enterprise Edition
• BusinessObjects
• Cognos
• MicroStrategy
• Custom SQL-based application, such as those built with Oracle Application
Express
These SQL-based tools might query the cube directly or indirectly as a cube-
organized materialized view.
Understanding an OLAP Solution from Oracle Page 12
13. Typical Front Ends
Oracle’s Hyperion Essbase Oracle Database OLAP Option
MS Office: Excel, Word, PowerPoint Oracle BI EE
Hyperion Planning Hyperion (OBI EE +)
Hyperion Financial Reporting Business Objects
Hyperion Web Analyzer Cognos
Hyperion Interactive Reporting MicroStrategy
Hyperion Visual Explorer Other SQL-based BI tools
Hyperion Smart Space Custom SQL-based applications
Custom Development via API Oracle OLAP Excel add-in
Google OneBox, Oracle Secure
Enterprise Search
Oracle Discoverer Plus OLAP
Figure 5: Typical Front Ends
Data Management
Oracle’s Hyperion Essbase
The data management of Oracle’s Hyperion Essbase allows for the consolidation of
data from multiple data sources including many different databases, flat file, Excel
and other financial sources.
As a solution that is database independent, Oracle’s Hyperion Essbase is a middle
tier server. Oracle’s Hyperion Essbase cubes are stored in Oracle’s Hyperion
Essbase data files independently of the Oracle Database.
The line of business user of Oracle’s Hyperion Essbase requires the ability to
source the cube with data from multiple data sources, including relational
databases, flat files, Excel, financial ERP applications, SAP BW, etc. Essbase
facilitates this process by providing LoB user-friendly tools that load data directly
from these sources into the Oracle Hyperion Essbase cube.
Oracle’s Hyperion Essbase users very often create new data within the Essbase
cube using calculation scripts and by writing back directly to the cube, often using
Excel as the user interface.
Oracle’s Hyperion Essbase cubes are designed using the Essbase Outline Editor, a
tool that is easily used by the LoB cube designer. Using the Outline Editor, the user
defines both the structure and content of the Essbase cube. Essbase metadata is
embedded in the Essbase cube and discovered using Essbase APIs.
Understanding an OLAP Solution from Oracle Page 13
14. Oracle Database OLAP Option
The Oracle Database OLAP Option, as part of the Oracle Database, populates
cubes by selecting from relational sources that are available in the Oracle Database
instance. This relational source can include tables, view, flat files (as external tables),
DB links, gateways, etc. Data that can be presented more or less as a star or
snowflake schema can be used as a data source to the OLAP Option cube.
Oracle Database OLAP Option cubes are often enhanced with additional data
using calculation scripts defined by IT. Write-back to the Oracle Database OLAP
Option cube is accomplished using SQL to update a table and then invoking a
process to cause the cube to select data from that table.
Oracle Database OLAP Option cubes are designed and managed using Analytic
Workspace Manager. This tool is designed to be utilized by the Oracle DBA or
cube-savvy LoB user. Metadata describing OLAP Option cubes can be queried
from the Oracle data dictionary using SQL.
Data
Management
Oracle’s Hyperion
Essbase
Oracle Database OLAP
Option
Data Store
Essbase cubes in the middle
tier
Oracle cubes in the Oracle
Database
Data Acquisition
Allows LoB to consolidate data
from multiple data sources
including RDBMS, flat files,
Excel, financial ERP
applications, SAP BW, etc.
Allows IT to populate
cubes from any relational
source in the Oracle
Database (tables, external
tables, gateways, etc.)
Data Creation
LOB users often create new
data via calculation scripts and
user write-back
IT users often create new
data via calculation scripts
to extend the data
warehouse
Metadata
Managed in Essbase via
analyst-friendly tools
Managed in Oracle Data
Dictionary
Figure 6: Data Management
ORACLE OLAP CASE STUDIES
After reviewing the theoretical differences, let us take a more pragmatic view. In
this section, we will examine four Oracle OLAP case studies—two from each side.
Oracle’s Hyperion Essbase Case Studies
For the Oracle’s Hyperion Essbase case studies, we will examine Southwest Airlines
and Land O’ Frost.
Southwest Airlines
Southwest Airlines faced a major crisis. They needed to project cash flows in the
face of extraordinary uncertainty about customer travel plans, fuel prices, new
security regulations and other variables in the wake of September 11th. The
Understanding an OLAP Solution from Oracle Page 14
15. solution was implemented with alternative cash flow scenario models, capital
spending plans, 15-month rolling forecasts and “business cockpits”
(multidimensional dashboards). The buyer was the VP of finance, and the user
community consisted of business users in finance, reservations, and ground
operations.
Key to survival and success was determining how long cash balances of $1 billion
(based on immediately deferred capital spending, halted discretionary spending, and
borrowing $400M on a line of credit) on 9/11 would last, which depended on
return in revenues.
On September 11th, Oracle’s Hyperion Essbase enabled Southwest to model many
scenarios that provided the moral support, comfort level, and confidence for the
many departments working hard to make it through that fateful day. Within five
days, Southwest was able to setup all scenario models. Southwest Airlines was able
to forecast with two percent of outcome entirely in Essbase, providing top to
bottom and bottom to top analysis capabilities.
Essbase performed very well. Queries that would have taken at least four hours to
write, run, gather data for, then enter on a spreadsheet and analyze, are instead
accomplished in one minute with Essbase. Finance was spending 75 percent of its
time accumulating data and 25 percent of its time analyzing. With Essbase, those
ratios are now 10 percent and 90 percent, respectively.
Southwest Airlines
Business Problem
Needed to project cash flow in the face of
extraordinary uncertainty about customer travel
plans, fuel prices, new security regulations, and
other variables after 9/11
Solution
Alternative cash flow scenario models, capital
spending plans, 15-month rolling forecasts, and
“business cockpits” (multidimensional
dashboards)
Buyer VP of finance
User Community
Business users in finance, reservations, ground
operations
Figure 7: Southwest Airlines Case Study
Land O’ Frost
Land O’ Frost is one of the world’s largest providers of luncheon and deli meats.
Incorporated in the late 1940’s by founder Antoon van Eeekeren, the original
business began in Chicago with frozen food storage and distribution, including
meats, which is where the company name was derived. In 1958, the business was
reorganized to focus on the manufacture and sale of thinly sliced packaged meat
products. In the 1980’s, the company pioneered retort packaging—a technology
that provided longer shelf life at room temperatures without chemical additives.
Understanding an OLAP Solution from Oracle Page 15
16. Today, the company employs over 1,000 people and distributes its products across
all 50 states, as well as exporting to Mexico and Puerto Rico. It has three
distribution centers in the US and sells its products through the largest grocery and
mass merchandizing chains in the country. Its brands include Deli-Shaved,
Dagwoods, and Premium One Pound.
Land O’ Frost had a requirement to do marketing lift analysis. For example, if the
company launched a coupon campaign, they needed to determine what the sales lift
was by product. They wanted to know how the campaign affected sales over the
life of the campaign, in addition to calculating the ROI of the campaign. They also
needed to integrate data from a number of sources including third-party data, data
from legacy systems, ERP data from JD Edwards, as well as data stored in multiple
SQL server databases. They evaluated a number of pre-packaged solutions for
marketing analysis and determined that their requirements were unique enough that
a custom solution was required.
They implemented a custom solution of Oracle’s Hyperion Essbase in less than
two months and are now able to effectively analyze their campaign performance.
Land O’ Frost
Business Problem Visibility into marketing campaign effectiveness
Solution
Marketing analysis application that integrates
internal data from JDE, SQL Server, with
external demographic feeds. Calculates
percentage lift of marketing promotions and
identifies advertising ROI by campaign
Buyer Marketing (also used in Finance)
User Community
Business users in finance, reservations, and
ground operations
Managed by marketing analysts, accessed by
marketing and advertising managers
Figure 8: Land O’Frost Case Study
Oracle Database OLAP Option Case Studies
For the Oracle Database OLAP Option case studies, we will present Ford Motor
Company and The Gallup Organization.
Ford Motor Company
Ford Motor Company’s challenge was to analyze energy consumption patterns
within an automotive assembly plant with the goal of rescheduling peak usage to
coincide with times of day and with lower per unit costs. The solution was to
consolidate energy meter readings in an Oracle Data Warehouse, including OLAP
cubes utilized for time series analysis. The buyer of the Oracle OLAP solution was
IT. The user community was the line of business users at product unit and cost
Understanding an OLAP Solution from Oracle Page 16
17. center levels. They queried the Oracle Data Warehouse with the OLAP cube
utilizing Business Objects Web Intelligence and Spreadsheet Add-in.
Ford faced the following challenges when approaching this problem:
• Enable automated and manual collection of detailed transactional data from
the factory’s many energy meters.
• Enable near real-time analysis of energy consumption, requiring frequent and
rapid update of the data warehouse.
• Enable detailed analysis of past energy consumption.
The Oracle Database OLAP Option solution:
• Was implemented by the IT department, in consultation with line of business.
• Consolidated and centralized data sources using Oracle Database 10g and
Oracle Warehouse Builder, enabling rapid data aggregation and near real-time
analysis of energy usage.
• Allowed line of business at the production unit and cost center levels to
rapidly analyze data using Oracle OLAP, Business Objects Web Intelligence
and the Oracle Business Intelligence Spreadsheet Add-In.
Ford Motor Company
Business Problem
Analyze energy consumption patterns within an
automotive assembly plant with the goal of
rescheduling peak usage to coincide with times
of day and with lower per unit costs
Solution
Consolidate energy meter readings in Oracle
Data Warehouse, including OLAP cubes used
for time series analysis
Buyer IT
User Community
Line of business users at product unit and cost
center levels who query Oracle Data
Warehouse with OLAP cube using Business
Objects Web Intelligence and Spreadsheet
Add-in
Figure 9: Ford Motor Company Case Study
The Gallup Organization
The Gallup Organization provides healthcare satisfaction metrics to thousands of
healthcare providers based on survey data from tens of thousands of patients per
year. Because of the volume of data and privacy issues, Gallop requires a data
infrastructure that is highly scalable, reliable, and secure. The data must be
accessible to a wide variety of applications, including SQL-based business
intelligence applications.
Understanding an OLAP Solution from Oracle Page 17
18. The Gallup IT organization implemented an infrastructure that uses the Oracle
Database Warehouse, including Oracle OLAP, to achieve a highly scalable and
secure solution with deep time series and other analytic features. The goal was to
gain the ability to support business intelligence applications without replicating large
amounts of data in specialized analytical databases. The Oracle-based data
infrastructure supports more than 1,000 concurrent users without compromising
performance, reliability, or security. The solution supports rapid response time for a
custom SQL-based application, even for large documents that contain more than
20 thumbnail graphs and 20 cross tabs per page (as many as 40 queries per page
view).
The Gallup Organization
Business Problem
Allows a large user community of third-party
health providers to analyze healthcare
satisfaction polling data
Solution
Consolidate healthcare satisfaction survey data
in an Oracle Data Warehouse, including Oracle
OLAP cubes. A custom SQL-based reporting
application relies on the cube for required
analytics and fast query response
Buyer IT
User Community
1,000+ concurrent third-party healthcare
providers querying OLAP cubes
Figure 10: The Gallup Organization Case Study
BETTER TOGETHER
Both Oracle’s Hyperion Essbase and the Oracle Database OLAP Option provide
powerful MOLAP solutions. However, implemented together, they can provide a
complete MOLAP solution.
Both Oracle’s Hyperion Essbase and the
Oracle Database OLAP Option provide
powerful MOLAP solutions. However,
implemented together, they can provide a
complete MOLAP solution. Oracle’s Hyperion Essbase and Oracle Database OLAP Option are not mutually
exclusive. They work better together. Oracle’s Hyperion Essbase provides a
platform for performance management and pervasive BI. Oracle Database OLAP
Option is a powerful enhancement to a data warehousing environment. Better
together, the two MOLAP solutions provide complementary benefits for a
complete MOLAP solution.
Oracle
Hyperion
Essbase
Oracle Database
OLAP Option
Performance
Management
Enhanced Data
Warehousing
Figure 11: Better Together
Understanding an OLAP Solution from Oracle Page 18
19. Understanding an OLAP Solution from Oracle Page 19
CONCLUSION
In conclusion, both Oracle’s Hyperion Essbase and the Oracle Database OLAP
Option share common characteristics such as excellent query performance, fast
update, rich analytic content and a dimensional model. Oracle’s Hyperion Essbase
is designed for LoB-managed EPM applications. Oracle Database OLAP Option is
designed for IT-managed database summary. Implemented together, their
capabilities provide a complete MOLAP solution.
ABOUT ORACLE CORPORATION
Oracle is the leader in Enterprise Performance Management (EPM), unifying
Performance Management and Business Intelligence (BI), supporting a broad range
of strategic, financial and operational management processes. Oracle provides a
complete and integrated system for managing and optimizing enterprise-wide
performance. This allows organizations to achieve a state of management
excellence – being smart, agile and aligned – which provides competitive advantage
and leverages their operational investments.
• Smart – Leverage market-leading products and technologies that address
enterprise-wide requirements and drive new insights into your business
• Agile – Enable advanced integration that improves agility and lowers costs of
ownership
• Aligned – Drive pervasive intelligence across the enterprise by linking
strategic, financial and operational management processes
For more information, go to http://www.oracle.com/epm. Contact us with any
comments or questions at epmgbu_ww@oracle.com.