Satyam
Satyam
Training Schedule
• Product Profile
• Impromptu
• Transformer
• Powerplay
• Visualizer
• Impromptu Web Reports
• DecisionStream
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Cognos Product Profile
• Cognos Impromptu, for enterprise query and reporting.
• Cognos Impromptu Web Reports, for easy distribution and navigation of standard reports via the Web.
• Cognos PowerPlay, for powerful OLAP reporting and analysis across the enterprise in a centrally managed, single-application-server environment.
• Cognos PowerPlay Web, for instant deployment of multidimensional analysis capabilities via the Web.
• Cognos 4Thought, for the power of predictive modelling to business planners.
• Cognos Scenario, for uncovering hidden patterns and relationships in corporate data.
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Cognos Product Profile
• Cognos Visualizer, for interactive, multi-metric, data visualization
• Cognos DecisionStream, for building and deploying enterprise BI-ready data marts.
• Cognos Accelerator, for unleashing the Business Intelligence stored in SAP applications.
• Cognos HeadStart Solutions, for predefined analysis and reporting modules for delivering immediate value from corporate data stores.
• Cognos NovaView, for Microsoft SQL Server 7.0 OLAP Services
• Cognos Axiant 4GL for graphical client/server application development environment.
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Cognos Product Profile
• Cognos PowerHouse for building server-based minicomputer production systems.
• PowerHouse Web for building and deploying Web-based applications in conjunction with PowerHouse 4GL.
• APL 2000 for a rapid application development language often used in financial applications.
• Cognos Finance, for financial reporting, consolidation, budgeting and forecasting
• Cognos Upfront, for portal service that provides end users with a single, Web-based point of personalised access to Cognos BI information and non-BI content
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Supported Platforms
•Microsoft Windows NT Server (Intel)
•Hewlett-Packard MPE/iX
•Compaq OpenVMS (Alpha and VAX)
•IBM OS/400
•Various UNIX platforms, including:
•Hewlett-Packard HP-UX
•Sun Solaris
•IBM AIX
•Compaq Tru64 UNIX (formerly Digital UNIX)
•Data General DG/UX (Intel)
•SCO OpenServer
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Supported Gateways
• MDI Database Gateway• Net-Gateway• OmniSQL Server• Oracle Transparent Gateway
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Supported Databases
• DB2• dBASE• HotFile• Informix• InterBase• Microsoft SQL Server• OpenIngres• Oracle• SQLBase• Sybase SQL Server
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Impromptu
• User Edition– Scheduler– Script editor– Portfolio– User defined Functions (UDFs)– Access Manager Configuration Wizard– Windows Common Logon Server– Powerprompts Developer Studio
• Administrative Edition (all user edition components +)– Auditing Tools– Access Manager– Architect– Cognos Distribution Shuttle builder
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Supported Databases
• Teradata
• DB2
• dBASE
• HotFile
• Informix
• InterBase
• Microsoft SQL Server
• OpenIngres
• Oracle
• SQLBase
• Sybase Adaptive Server and Sybase System 11
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Impromptu - Administrator’s Overview
Creating catalogsMaking joinsOrganizing foldersSetting up user classes and securityCreating calculations, conditions and promptsAutomating tasksOptimizing performance Integrating with Cognos Bi
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Creating Catalogs
What is a catalog?• A file (with the extension .cat) that contains all the
information necessary for Impromptu to access and retrieve information from a relational database.
• Catalogs store metadata associated with the database structure including the– name and location of the database– names of the columns in the selected tables– join relationships between tables
• A catalog does not store data, but it does provide Impromptu with a business view of the data.
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What are the Benefits of a Catalog?
Administrator’s Perspective• Different user communities can be served without
modifying database• It specifies what information is available to Users
and how it can be accessed• It provides single point of maintenance for entire
Impromptu environment
User’s Perspective• Insulates users from database, making database
training unnecessary• Presents them with intuitive business view of their
data
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What does a Catalog contain?
• Folders - Meaningful groups of information representing columns from one or more tables
• Columns - Individual data elements that can appear in one or more folders
• Calculations - Expressions used to compute required values from existing data
• Conditions - Used to filter information so that only a certain type of information us displayed
• Prompts - Pre-defined selection criteria prompts that users can include in reports
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Types of Catalogs
• Personal Catalog
• Shared Catalog
• Distributed Catalog
• Secured Catalog
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Personal Catalog
• Can be used by only one person and not accessible to other Impromptu users.
• Begin catalog creation process with Personal Catalog
• After testing, can be converted to any other type for use by other users.
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Shared Catalog
• Shared catalog is generally stored on a LAN to provide access for all users.
• Users can create their own reports but cannot change the catalog
• All the users will work with the same catalog• By default, Users cannot add to the catalog
but this ability can be assigned using Governor settings
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Distributed Catalog
• A Personal Distributed Catalog is made from Master for each User.
• Users can create reports and make changes to their copies of catalog within limits of User classes assigned
• When Master Catalog is changed, the changes are automatically applied to each Users Personal Catalog
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Secured Catalog
• A secured catalog is a read-only catalog that only the Creator can change.
• Users cannot change the contents of the Catalog or Reports created from the Catalog and they cannot create new reports.
• Users can only run reports already created, convert report to different file formats and print reports.
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Limitations of Catalog
• The size of the Catalog is determined by tables, folders and security restrictions
• With Distributed Catalog, larger the master Catalog, longer it takes to copy the personal catalog to the user machine.
• Catalogs approaching 1 MB in size can be inefficient.
• When Catalog size increases• Maintenance time increases• It takes longer time to load• Organizing Folders become difficult• User class security becomes more involved• join definition becomes more complex
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Making Joins..
Joins• Joins define the relational links between
tables in the physical database.• Joins relate the data in one table to the data
in another table in the same database, enabling you to retrieve data from more than one table at a time.
• Once joins are are defined they are available to Users and do not have to be redefined unless the database structure changes
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Types of Joins
Equi join - retrieve all of the rows from one table and the rows in another table when values in the linked columns are equal
Non Equi join - retrieve all of the rows from one table that meet certain criteria in another table using operators <>, <, >,<=, >=
Self join (Reflexive) - required to join a table to itself. Can be used only by defining alias table
Outer join - retrieve rows from one table even if there are no matching rows in another table.
Compound join - useful where two columns will generate a unique key to join to another table
Complex join - Uses an expression created with the expression editor to join tables.
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Organizing folders
• A folder is a container used to present data in an Impromptu catalog
• A folder is created automatically for each table in a Catalog• Folders contain data items, calculated data items, filter
conditions and report prompts• Organize folders in a way that presents Users with one or
more business views of the Organization• Organizing folders into a business view ensures the Users to
easily locate the data based on a business oriented view• Organizing involve
– renaming folders and items– adding folders– balancing the levels and items in folders– including calculations, filters and prompts in folders
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Setting up User classes and Security
User classes
To maintain a single catalog for different user communities
without compromising security
Users can be grouped– by data requirements– by departments or divisions– by function
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Security
Ways to employ Security
• Assign passwords to User classes• Limit table access by User class(field-level
security)• Limit folder access and restrict select values by
User class(folder-level security)• Filter values by User class(security by value)• Set Governor values by User class• Set database tab values by user class
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Creating Conditions, Calculations and Prompts
What is a Condition?
A condition is a true-false expression you can include in a report to filter data.
Country in (‘US’, ‘Canada’, ‘Mexico’)
What is a Calculation?
A calculation is an expression using existing data items to calculate a new data item.
If (Price - Cost) <= 0.50 * Price then (‘Low Margin’) else Null
What is a Prompt?
A prompt is an expression that you set up so users can filter the data in a report by typing or picking a filter value when the report opens.
Enter From Date:
Enter To Date:
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Automating Tasks
• Create Standard Reports and Templates• Take advantage of Inheritance feature• Distribute revised Impromptu.ini file• Automate tasks with Impromptu Macros
• Cognos Script Editor• Cognos Script Dialog Editor• Cognos scheduler
• Impromptu Type library
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Optimizing Performance
• Client / database-server balancing - to perform query processing by Database, Limited local processing or flexible processing
• Table weighting - specifies the order in which tables will be retrieved
• Qualifications - in more than one database the table name is same
• Governors - make settings that affect processing variables. Sorting of Non-Indexed columns, Outer joins
• Alternative Data Sources - Snapshots, Thumbnails, Hotfiles
• User- defined functions - Custom functions for use within SQL statements
• Bulk fetch - retrieves 100 rows of data by default in one fetch
• Stored Procedures - can access stored procedures of data base
• Auditing - record information about tasks performed in a log file
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Integrating with other Cognos Products
• Use Architect as an alternative way to create catalogs
• Web enable through Web Reports
• Drill through Cognos query
• Create PowerCubes for Powerplay
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Cognos Lab - Impromptu
• Create Catalogs and Folders, Calculations and Prompts
• Create User Classes• Create List Report• Create Grouped List Report• Create Summary Report• Create Cross tab Report• Create Mailing Labels (optional)• Create a Form letter (optional)• Create a Chart• Create Free style Report
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Transformer
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Transformer
• A modeling tool used to build multidimensional model from Source data
• These models are distributed as a Power Cube to view in Powerplay for Windows/ Excel / Web or Visualiser
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Transformer
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Dimension MapThe dimension map shows the dimensions and levels added to a model.
Dimensions• Dimensions are broad groupings of data that represent major segments of
your business information• Dimensions consist of a hierarchy of categories, organized by level.
Levels• Levels are positions within the dimensional hierarchy that contain
categories at the same order of detail, with a common set of attributes.• Source levels contain categories from a data source column
Data Sources List• The Data Sources list contains all data sources that you have imported
into Transformer.
Measures List• The Measures list contains all available measures for your model.• Measures are numerical data used to gauge performance within the
organization.
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Transformer Interface
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Dimensions Pane and Category Viewer
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Transformer Lab
Build a Model using Auto design
• Reorganize the levels• Rename Dimensions and Levels• Add Descriptions to columns• Use short Names• Generate Categories
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Transformer Lab
Refine Model
• Show Counts• Create a Manual Level• Create a Calculated Measure• Create a Measure that counts Categories
Create Power cubes
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Transformer Lab
Build a Model using Multiple Data Sources• Import Data Sources• Define Dimensions, Levels and Measures• Declare Level Uniqueness• Add a Time Dimension manually• Specify a Level Label• Generate Categories• Create alternative drill down path• Create special Categories• Setup Currency conversion
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Powerplay
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Powerplay at a Glance
• Drill Down• Slice & Dice• Filter• Rank • Calculate• Highlight• Change Display• Determine Percent of business
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Supported Data Sources
Relational Databases• Oracle• Sybase• Microsoft SQL Server• Informix• IBM DB2
OLAP Servers• Hyperion Essbase• IBM DB2 OLAP• Oracle Express• Microsoft OLAP Services, including local cubes (.cub files)• SAP Business Intelligence Warehouse (SAP BW)
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Essential Skills
• Explore Dimension Folders• Explore Dimension Viewer• Access Cubes - Remote / Local• Change Performance Indicators• Drill into Information• Isolate a Category• Drill up by Resetting Dimensions• Drag, Choose, Swap• Add Nested Categories
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Powerplay Lab
Reports
• Business Mix Report• Top Ten Report• Trend Over Time Report• Variance Report• Exception Report• Quarterly Revenue Statement
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Visualizer
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What is a Visualization?
• Used as an alternate to graphical representation of text or numeric data.
• Use of Visualizations for presentation of data include:– Flow Charts– Gauges– Maps
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Visualizer
Helps to create visualizations that includes:
• Several Types of Charts, including Scorecard style charts
• Data from multiple metrics• Two-dimensional and three-dimensional layouts• Navigation options such as custom viewpoints• Maps
Multiple data sources can be used can be used in a
single visualization.
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Supported Data SourcesCubes
• Hyperion Essbase• DB2 • Express• MS SQL Server OLAP Services• SAP BW• Impromptu Query Definition Files
Remote (In-database) Cubes• Oracle• Sybase SQL Server, Adaptive Server and Sybase
Adaptive Server• Informix Dynamic Server• Informix XPS• Microsoft SQL Server• IBM DB2 Common Server
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Planning a Visualization
• Identify the goal• Identify the audience• Identify the main points• Select a presentation type for each main
point• Select data sources• Prepare a preliminary layout
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Visualization Layers
A visualization contains:
Sheets• The support layer for all other layers. A visualization
can have more than one sheet.
Scenes• Contain an arrangement of panels. A sheet can
contain more than one than one scene.
Panels• Containers for the content of the visualization. A
scene can contain more than one panel.
Charts • Contains graphical display of data. Panel can
contain one or more charts and maps.
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Balanced Scorecard
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Decision Hierarchy
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Visualizer Lab
• Create Layers• Organize Layers• Add Content• Work with Standard Elements• Update a Scorecard• Add Viewpoint• Make a Visualization Interactive
• Add Panel Action• Add filters
• Synchronize Charts• Combine Maps and Charts
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DecisionStream
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What DecisionStream can do?
DecisionStream can acquire transaction data
• From multiple data sources• From different computers and operating systems• At different levels of granularity
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Catalogs
• Consist of a number of data tables that can reside in any database
• Provides a central repository for the information that defines how DecisionStream extracts, transforms, and delivers data.
• DecisionStream catalog can be stored in either a dedicated database or target data mart database
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Top Level Objects
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Connections
• Identifies the particular database
• Specifies the connection method that DecisionStream must use to connect to the data
• Provides information that the database management system (DBMS) requires when DecisionStream connects to the data,
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Data Sources
• Can extract data from a variety of relational sources via native interfaces and ODBC.
• In addition to normalized, operational data, it can extract data from de-normalized data marts and from text files.
• Where the source data contains hierarchical information, DecisionStream can be configured to accept data only at specified hierarchy levels.
• Can be configured to interact with data sources by creating connections that establish the database objects and the connection methods to use.
• DecisionStream supports DBMSs from many manufacturers, including ORACLE, Informix, Sybase, Microsoft, and IBM.
• DecisionStream can connect to delimited text (ASCII or EBCDIC) data sources via the SQLTXT driver.
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Dimensional Framework
• Consists of reference dimensions, each of which models one dimension of business.
• Each reference dimension can contain multiple hierarchies to represent the structure of the data independently of any source database.
• DecisionStream supports an unlimited number of reference dimensions and therefore unlimited dimensionality.
• Hierarchies can be built from the most appropriate source– Master Tables– Transaction Data– Static Elements
• Hierarchy Wizard can be used to create hierarchies.
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Fact Builds
Each fact build can• Acquire data from many data sources• Merge and clean the source data• Perform aggregation• Deliver the fact and dimension data to one or more
data marts• Deliver metadata to OLAP systems and Cognos e-
BI applications
Fact Build wizard can be used to create builds.
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Transformation Model
• Dimension elements provide the link to the Dimensional Framework.
• Measures contain additive or semi-additive facts from the transaction data.
• Attributes contain non-additive facts.• Derivation elements contain Calculation information other
elements.
When DecisionStream performs aggregation, it consolidates
measures, attributes, and derivation elements along dimension
elements.
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Data Transformation
• Data may come from multiple data sources, each of which has its own naming and storage conventions.
• DecisionStream can transform such data so that it exists in standard format within the target data marts.
• DecisionStream derivation elements give you a powerful way to specify data transformations that meet the purposes of the target data marts.
• User-defined functions help ensure consistency of calculations across many fact builds.
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Dimension Build
• Dimension build acquires data from a hierarchy specified and delivers data to the target data mart.
• Delivers the dimension data to a single table (star schema) or to one table for each level of the hierarchy (snowflake schema), partitioned by custom criteria, or as a 'parent-child' structure.
• To create dimension builds, you can use the Dimension Build wizard,
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Metadata
• Metadata is data about the delivered relational structures.
• It provides context for the fact data and describes the semantics of the dimension data.
• It defines the underlying structure of the data; enabling reporting tools to process user requests rapidly.
• It also provides aliases; enabling reporting tools to caption data more meaningfully.
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Data Delivery
• Fact data – values that represent facts. (the number of a product sold at a particular store on a particular day)
• Dimension data – data that defines the core business components. (the range of products that the company produces)
• Metadata – data that defines the structure of the fact data, the dimension data, and the relationships between them.
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Thank You..
