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COG-132 exam Dumps Source : IBM Cognos 8 BI Metadata Model Developer
Test Code : COG-132
Test Name : IBM Cognos 8 BI Metadata Model Developer
Vendor Name : Cognos
Q&A : 53 Real Questions
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Cognos IBM Cognos 8 BI
Cognos Consulting services
IBM Cognos new version has already made a major have an effect on on the facts visualization and analytics over the past few years. The corporations who need consistent growth and progression through statistics organization depends heavily on the latest edition of Cognos company intelligence options in 2017.
The previous types of Cognos software were additionally very a success. It supports every kind of working systems and structures, it supports a number of forms of data to help to make selections enhanced sooner or later and gain greater control over your business matters for gigantic and small groups. There are no hard and speedy circumstances for deploying IBM Cognos brand to your firm, the platform gives remarkable stability and facts safety with actual-time studies and evaluation. The managers are capable of use Cognos BI software that Cognos developer replace always on-line. It broadens your domains over massive areas and departments in the corporations. agencies in 2017 count an awful lot on the Cognos heavily.
Why Cognos actual-time records visualization concerns? as a result of from BI management factor of view, the supervision of facts and gathering it in such a straightforward method is not feasible in another an identical company. The easy administration permits managers to manage and entry the software 24/7 across many areas on the earth with cloud-primarily based capabilities.
the only and largest goal for Cognos consultant to book administration about key aspects of Cognos is to aid them manipulate exchange within the corporation. Cognos experts have skills in managing alternate. this is the rationale information studies count number for managing company-huge possibility with Cognos analytics.
It keeps the atmosphere operational and helps in reviewing the records in the a lot quicker means for remodeling it and gaining high-end results from it. all the benefits Cognos statistics evaluation and experiences provide help companies achieve a milestone for growth and confirm the sophisticated productivity of their employees as neatly. There are different utility programs out there which aren't any healthy for the efficiency of Cognos IBM in 2017. It helps many users and including new users is not any big problems for non-IT managers as smartly. With the support of professional Cognos Consulting capabilities, the Cognos expert provides the solutions to firm’s biggest inquiries to help lengthy phrases dreams and company success.
BURLINGTON, Mass.--(business WIRE)--Cognos, an IBM company and world leader in business intelligence and performance management solutions, today announced that Hess organisation has chosen IBM Cognos BI to convey a full range of enterprise intelligence capabilities throughout its marketing and Refining corporation.
a leading international integrated energy business, Hess organisation is engaged within the exploration and construction of crude oil and herbal gasoline, as well because the construction and sale of sophisticated petroleum, herbal gas, and electrical energy items. looking to convey unified access to critical guidance in its downstream operations, Hess executives decided to standardize its performance administration on a single BI answer.
After an extensive evaluate of aggressive offerings, Hess selected Cognos since it provides the comprehensive spectrum of business intelligence functionality on a single platform, simplifying deployment and use. particularly, Hess will use IBM Cognos 8 business Intelligence (BI) inside its retail, refining, finance, energy advertising and company divisions, connecting all assistance into a single, enterprise view to give enhanced visibility into core company drivers comparable to customer profitability, stock ranges, and chance positions. Finance managers and business analysts, for instance, will use the software to analyze efficiency trends and most appropriate model future year boom. In retail, IBM Cognos BI will be used to support its U.S. chain of over 1,300 Hess fuel stations and Hess express comfort stores, assisting managers facilitate analysis and reporting on key save operations metrics – including product, class and segment income, shop performance against plan, and keep-by way of-keep comparisons – to be able to conveniently identify traits and make vital adjustments that pressure customer satisfaction and profitable growth.
Hess operations and advertising and marketing managers will also be capable of use IBM Cognos 8 BI analysis for Microsoft Excel to operate multidimensional evaluation on their statistics the usage of a well-known spreadsheet atmosphere. With IBM Cognos eight Go! cellular, company executives, as well as regional and district managers, might be able to use their instant handheld contraptions to study and securely have interaction with corporate efficiency suggestions and make recommended selections regardless of their place or time.
"IBM Cognos BI offers Hess the most desirable strategy to arming management with self-provider access to their guidance in an effort to finally cause more streamlined operations and enhanced resolution-making,” noted Jeff Steinhorn, Chief information Officer at Hess organization. “we now have a single, intuitive business intelligence solution that moves us to an ambiance the place we can exploit and engage with all of our assistance programs to enhanced identify trends, drill-down into details, and behavior performance evaluation across the downstream company.”
IBM Cognos eight company Intelligence provides determination makers in any respect degrees of the business with groundbreaking capabilities to more desirable manipulate efficiency by using offering a constant, correct view of all company counsel. As a complete, flexible product, IBM Cognos eight BI easily integrates into existing infrastructures with varied systems and facts sources. Its simplified BI environment improves user adoption, permits more advantageous resolution-making, and offers a sturdy groundwork for departmental BI, commercial enterprise BI and efficiency management.
“efficiency administration is all about empowering the correct clients with the appropriate guidance to make the type of choices that can positively affect customer service, operations and usual organizational increase,” stated Susan Gold, vp of business advertising & solutions at Cognos. “we are proud to look such a reputable corporation as Hess enterprise make investments their have confidence in our options, recognizing the vital function IBM Cognos options play in helping them pressure visibility into corporate efficiency and enable a true on-demand enterprise.”
Hess business enterprise, with headquarters in manhattan, is a world built-in energy company engaged in the exploration, production, purchase, transportation and sale of crude oil and natural fuel, as well as the production and sale of refined petroleum, natural gasoline and electricity items. greater advice on Hess enterprise is purchasable at www.hess.com.
About Cognos, an IBM business:
Cognos, an IBM company, is the world leader in business intelligence and performance management solutions. It offers world-classification enterprise planning and BI application and services to assist businesses plan, have in mind and control economic and operational performance. Cognos became acquired by means of IBM in January 2008. For greater guidance, talk over with http://www.ibm.com/utility/records/ and http://www.cognos.com.
Cognos and the Cognos brand are trademarks of Cognos ULC (previously Cognos included) in the united states and/or different nations. IBM and the IBM emblem are emblems of international company Machines employer in the u.s., or other countries, or each. different business, product, or carrier names could be logos or provider marks of others.
observe to Editors: Copies of outdated Cognos press releases and company and product suggestions can be found on Cognos' net web page at http://www.cognos.com
Cognos recently introduced that TELUS has dependent IBM Cognos eight company Intelligence software as its commercial enterprise-broad normal for efficiency reporting, evaluation, event and metrics management.
TELUS these days set out to simplify its business intelligence tools into a single corporate-broad commonplace giving key group contributors a complete and consistent view. It sought a single BI answer that may with no trouble pull and document on information from a wide selection of heterogeneous techniques and transform what was disparate data into consumable efficiency suggestions for more suitable company insight and proactive company management.
Cognos’ reporting, analysis, event management and scorecarding capabilities had been chosen to serve as a holistic efficiency management layer working in concert with the strategic investments TELUS has already made in distinct key company statistics sources. These statistics sources blanketed SAP BW, IBM DB2 records server and other methods with client tips. With Cognos’ BI capabilities because the normal reporting and analysis front-conclusion, TELUS executives and business managers will subsequently have a single, integrated view of financial, income, consumer supply chain and advertising and marketing advice.
“We in the beginning went looking for a dealer to create a self-service reporting environment giving us a picture view of all our strategic sources of suggestions. We essential the device to accumulate enterprise advice from anyplace, at any time, with out inserting a tremendous burden on IT for report creation and guide analysis. In cooperation with TELUS’ company Intelligence core of Excellence, Cognos’ created a solution featuring us with enterprise tips in a consumable format via multi-faceted, customizable dashboards that replicate the important thing efficiency indicators of our business,” referred to Simon Gratton, TELUS Director of enterprise Transformation. “This enhancement will make sure key choices are made based on consistent and latest business guidance.”
This BeyeNETWORK information merchandise consists of counsel from a recent press liberate by means of the company outlined.
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IBM Cognos 8 BI Metadata Model Developer
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No result found, try new keyword!The much-discussed marriage of business intelligence [BI] and business process management [BPM] may be a step closer to the altar with last week's announcement by Software AG that it will embed Cognos ...
Posted October 12, 2010 By Drew Robb Feedback
The enterprise BI market may be dominated by the likes of SAP, Oracle and IBM, but smaller names like Information Builders also have much to offer.
Which business intelligence (BI) product is right for you?
Info-Tech Research analyst Gareth Doherty cautions users that the BI field has so many tools and sub-categories that evaluation can be confusing.
This buyer's guide to enterprise business intelligence, therefore, takes a rather narrow view of the market for the sake of simplicity. It focuses on the big six (SAP, IBM, Microsoft, Oracle, SAS and MicroStrategy), which per Gartner, account for 72 percent of the market. Information Builders is also included, as Forrester named it along with the other six as leaders in a recent Magic Quadrant.
"Choosing a BI suite involves a long-term commitment to a product and vendor that could result in an expensive divorce if the relationship sours," said Doherty. "BI tool selection requires understanding all facets of your information architecture and business processes in order to choose a tool that is genuinely compatible with your needs."
Boris Evelson, an analyst at Forrester, recommends sticking to the tried and true evaluation steps:
Define factors such as geographic scope, technology needs, and the type of third-party support you need (consulting, implementation, hosting/outsourcing);
Send an RFI/RFP to potential candidates and check reference customers;
Subject the best couple of candidates to product evaluation before making a final decision.
"BI projects are never short, and, alas, many of them don't end, since a fast-paced business environment often introduces new requirements, enhancements and updates before you're even done with your first implementation," said Evelson. "Therefore, we typically recommend doing sufficient due diligence upfront when selecting a BI services provider, as you may be stuck with them for a long time."
Without further ado, here are some of the major candidates. But don't limit your search to these seven vendors; see our small business and midmarket business intelligence buying guides too.
IBM Cognos 8 Business Intelligence provides a broad view of system activity and the ability to streamline environment changes. Harriet Fryman, business unit executive at IBM Business Analytics, lists the benefits as:
Delivers information that the business understands, owns and trusts. Based upon a common business model, IBM Cognos 8 BI provides users with a consistent view of information.
Increases the reach of business intelligence by attracting more business users and engaging them with an interactive experience.
Improves alignment between strategy and operations with visibility from business operations and enterprise applications, to advanced analytics and strategic plans.
IBM Cognos 8 remains much better integrated than competing offerings, with shared metadata across the platform, enabling ease of transfer from report to query to analysis, said Rita Sallam, an analyst at Gartner. "However, customers reported a much diminished customer experience than in 2008, with support rated amongst the lowest in the Magic Quadrant," she added.
SAP Business Intelligence
SAP has a couple of BI products: Business Objects and NetWeaver. When SAP acquired Business Objects in 2008, Business Objects didn't possess a data warehouse product, so its compatibility with NetWeaver Business Warehouse (BW) has been leveraged to create a broader offering. So which one is king?
"Our principal BI product is SAP BusinessObjects Business Intelligence Suite, which includes Crystal Reports, SAP BusinessObjects Web Intelligence, SAP BusinessObjects Explorer, SAP BusinessObjects Voyager and SAP BusinessObjects Xcelsius Enterprise," said Jason Rose, senior director for BI solution marketing at SAP BusinessObjects. "Through these solutions, our customers are able to access, navigate, analyze and share information across the enterprise via reporting, interactive analysis, dashboards and visualization tools, data exploration and information infrastructure. While we cannot discuss pricing, I will say that we [are] competitive in our market and work with each customer to meet their needs."
SAP records some of the largest deployments in terms of data volumes and end users, according to Gartner. Its vast global reach amounts to 46,000 customers in all corners of the world. However, support grades having been declining for three years in a row.
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Data Warehouse Concepts
What is a Data Warehouse?
A warehouse in general terms is a repository where we store our information. Coming to the data warehouse, it is a collection of data organized in a specific manner and categorized information.
A data warehouse stores historical data of an organization so that they can analyze their performance over the past years and plan for the future.
The popular definition of the data warehouse by WH Inmon:
A data warehouse is:
Subject oriented: Data in the warehouse is categorized in different subject areas. For example, consider a KFC store. It has many branches all over the world. If we have to analyze “sales” for India, this is termed as “subject”.
Integrated: A data warehouse has data coming from multiple sources which are integrated into the warehouse. For example, consider the same KFC store, stores in India may store date field as “dd/mm/yyyy” whereas the same data in another country will be stored as “MM/DD/YYYY”. The data warehouse will have only one format fixed to say “MM/DD/YYYY”.
Time-Variant: A data warehouse stores historical data with which we can identify patterns of sales over a time period of 3 months,6 months or 2 years of any organization which has a warehouse.
Non-Volatile: Data in the warehouse will not change once it is entered.
Another definition from Ralph Kimball is more precise:
A data warehouse is a copy of transaction data specifically structured for query and analysis.
What is a Data mart?
A data mart is a subset of a data warehouse. Suppose we have an organization established in many different locations and each location maintains a data warehouse which we call it as data mart because a warehouse will have all the data integrated and as far as data mart is considered it will be a part of the data warehouse.
What are uses of having a Data Warehouse?
A Data Warehouse, in general, is used to analyze trends over a period of time and enhances the decision making of an organization. Once the data is loaded into the warehouse will be creating an OLAP cube or directly use the data to analyze trends. Basing on which the top level management will approach their future business strategies.
Data warehouse Architecture
We will multiple sources there all the operational data will be stored. Some may store them in flat files and some in databases. We will have to read all the sources and perform ETL (Extract, Transform and Load operations) which will be used to integrate data from these sources and transform them into one unique structure and then load into our target data warehouse.
Data Warehouse Architecture
There are 2 approaches in designing your data warehouse. First one is “Top-Down approach” and second is “Bottom-up approach”.
Top — Down Approach: The above image shows the top-down approach, where we are reading data from multiple sources and transforming the data and loading into your warehouse, then on top of that we are creating our data marts.
Bottom-up Approach: The opposite of the above approach is this. Here we will be creating data marts first and then we will create our data ware house on top of all the data marts.
Data Warehouse Terms
Dimension: A Dimension is a categorical information which is stored in a data warehouse.
Fact: Fact is a measurable quantity by which we can actually figure out what the dimension does.
Attribute: Attributes are the elements in a dimension Ex: Suppose we have product information classified in a dimension. The attributes of the “Product dimension” are: “Product_ID, Product_Name, Product_Color” etc. Sales is a fact table where you store numeric values associated with the dimension attributes.For instance, we have to calculate the number of sales of each product for the current month.In this case, Product is the dimension and Month is a dimension and numbers of product sold is the fact.
OLAP: Online Analytical Processing is a multidimensional model using which users can view data in multiple dimensions at a single glance.
Types of OLAP’s:
OLTP: Online transactional processing is a transaction based model where the main aim will be to retrieve data faster and update transactions quickly.
Schemas in Datawarehouse
The schema is a logical arrangement of tables in a data warehouse. We have schemas in relational databases. Very much like same Data warehouse has schema’s namely Star schema, Snowflake schema, and Fact-Constellation.
In this logical arrangement of tables, the fact table will be at the center of the schema surrounded by multiple dimension tables. Fact and dimension tables are linked via a Primary — Foreign Key relationship. Fact table will be having foreign keys of all the Dimension tables along with the facts whereas a Dimension table will be having attributes which describe the Dimension.
In this logical arrangement of tables, we have dimension tables connected to other dimension tables which in turn are connected to fact table via a primary-foreign key relationship. Else we can say that the Dimension tables in Snowflake schema are normalized. Because of the normalization, the data redundancy will be reduced and a lot of storage space is saved.
Fact Constellation Schema:
A fact constellation schema, unlike the start or snowflake, will have multiple fact tables. It is also called as Galaxy Schema.
Star Schema Example
In this schema shown, a fact table (sales) is connected to multiple dimension tables item, location, time and branch. Each dimension table has attributes describing the dimension and fact table has the foreign key of all dimension tables along with facts like dollars_sold and units sold.
Snowflake Schema Example:
In this schema, a fact table (sales) is connected to multiple dimensions, whereas the dimensions item and location are again connected to City and Supplier dimension respectively.
Fact Constellation schema Example:
In this schema, we can find two fact table Sales and Shipping connecting with each other and are again connected to multiple dimension tables individually.
Now we are jumping into the actual topic “Cognos Business Intelligence”.
Overall DWH architecture
We will be dealing with Cognos reporting tool and Cognos Metadata managing tool and other useful tools that Cognos BI has.
Let’s go through where BI will actually come into picture
The below image shows overall Data warehouse Architecture. From data load to using the data loaded into the tables for enhancing the business of your organization. From all the data sources (may it be Operational databases, Flat files etc.) we load the data into data warehouse through different ETL process and creating cubes and using the data for mining purpose.
The below figure will describe the Business Intelligence flow how the data will be used for Business optimization. Business intelligence is a process from where you will be able to derive methods to enhance your business with the data that you have. Using BI one will be able to look at their data at different levels and will be able to make decisions to make their business better.
Cognos BI will be used to generate reports (list, crosstab, and charts). The below figure will show you the entire flow that happens with Cognos.
The first step in using Cognos BI is to gather requirements. This is possible when you understand your business structure and the data that drives your business. Once the requirement is finalized the next step is to create your framework metadata model. You can choose either to you star schema or snowflake schema or you can use the existing relational model.
After this step is done with we have to publish the model that we have created. Publishing the model will make your metadata model available for reporting purpose. Once your model is published, we can use the model to create different types of reports as per your requirement and we will schedule the reports basing your requirement.
Different Versions of Cognos
Cognos ReportNet (CRN) is a web-based software product for creating and managing ad-hoc and custom-made reports. ReportNet is developed by the Ottawa-based company Cognos (formerly Cognos Incorporated), an IBM company. The web-based reporting tool was launched in September 2003. Since IBM’s acquisition of Cognos, ReportNet has been renamed IBM Cognos ReportNet like all other Cognos products.
Cognos Report Studio — A Web-based product for creating complex professional looking reports
Cognos Query Studio — A Web-based product for creating ad-hoc reports.
Cognos Framework Manager — A metadata modeling tool to create BI metadata for reporting and dashboard applications.
Cognos Connection — the Main portal used to access reports, schedule reports and perform administrator activities.
IBM Cognos 8 BI, initially launched in September 2005, combined the features of several previous products, including ReportNet, PowerPlay, Metrics Manager. There are also Express and Extended versions of Cognos 8 BI. Full features:
Report Studio (Professional report authoring tool formatted for the web)
Query Studio (Ad hoc report authoring tool with instant data preview)
Analysis Studio (Explore multi-dimensional cube data to answer business questions)
Metric Studio (Monitor, analyze, and report on KPIs)
Metric Designer (Define, load, and maintain metrics to be available in Metric Studio)
Event Studio (Action based agents to notify decision makers as events happen)
Framework Manager (Semantic metadata layer tool which creates models or packages)
PowerPlay Studio (formerly PowerPlay Web)
Analytic Applications (Packaged BI Applications, built on an adaptable platform and extensible into Business Analytics)
We can see different components and how they are fitting in. The top most layer, where we can see Cognos Connection, Administrator, Business Insight and different studios. They all are web-based and end-user needs not to install any client side software if he has the latest web browser installed.
The bottom layer is basically data layer where you may have homogeneous or heterogeneous database systems. Data may be relational or multi-dimensional. On top of it, we can see three modeling tools there — Framework Manager, Transformer, and Metric Designer. All of them are client based installation.
We’ll maintain the flow of components from top to bottom as shown in below BI components figure.
Before getting into the actual topics about how you create the model, deploy it and use it to create reports we have to first know the architecture of Cognos.
Cognos Business Intelligence framework is 3- tier architecture. The first tier of the architecture will be having the Web server which is responsible for the accessing the user interfaces. The second tier will be having IBM Cognos BI Server which will be having gateways and dispatchers to route requests from different UI’s to Database and communicate back to the server.
The Third Tier will have the data sources. You can have multiple data sources and they will connect to the Cognos server using JDBC or API’s.
The Below figure shows the architecture of Cognos BI:
In the data tier, you can see one more component called the “Content Store” which is a repository for the Cognos server. Whenever you save any objects reports, models everything the data is stored in Content Store database which once you reopen or reuse the existing object created will fetch the data from the Content Store. All this work will be performed by the “Content Manager”.
Content Manager: The content manager is responsible for connecting with the Content Store database and saving any report or model back to the Content Store.
Dispatcher: The job of dispatchers is to route requests sent from and to the Web UI/Windows based components.
Web-based and Windows Based components of Cognos
Cognos BI has two types of components,
1. Web-Based components.
2. Window based components.
Web-based components includes
Cognos Connection: This is the portal from where you can access all the web-based components of IBM Cognos BI.
Cognos Administration: Using this web-based UI you can perform administrative tasks like granting access, revoking access, creating users, groups and defining roles etc.,
Cognos Report Studio: Using Report studio tool we can create reports and format the reports. We can create multiple types of reports like list report, crosstab reports, graph’s etc.,
Cognos Query Studio: Here we create ad-hoc reports. Ad-hoc reports are useful when a user wants to see the report without any prompts and less formatting. Using query studio we can create a report instantly.
Cognos Metric Studio: This studio is used to build customized scorecards reports to monitor and analyze metrics.
Cognos Analysis studio: This studio is used to analyze data from different dimensions and also compare trends.
Cognos Business Insight: This tool is used to build dashboards. A dashboard allows a user to quickly look into the data and enhance the decision making.
Cognos Business Insight Advanced: With this tool, we can build more powerful dashboards and as well as simple reports.
Cognos Framework Manager: Cognos framework manager is a tool used to create metadata models which we can use in Report studio or analysis studio.
Cognos Map Manager: Using this tool we can create maps which will allow you to create a new region by using the existing regions.
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