Business Intelligence - Week09

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Business Intelligence (0641611)Lecture Week-9:Penggunaan dan Karir

Beban: 2 SKS

SEMESTER: VI (Enam)/GenapDOSEN: Djadja Achmad Sardjana,S.T., M.M.

[email protected]

0818-658980 & 0858-61625868

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IT-enabled business decision making based onsimple to complex data analysis processes

Database development and administration

Data mining

Data queries and report writing

Data analytics and simulations

Benchmarking of business performance

Dashboards

Decision support systems

What is Business Intelligence(BI)?

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Make more informed business decisions:

Competitive and location analysis

Customer behavior analysis

Targeted marketing and sales strategies

Business scenarios and forecasting

Business service management

Business planning and operationoptimization

Financial management and compliance

Why BI?

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` Through 2012, more than 35 % of the top 5,000 global companies willregularly fail to make insightful decisions about significant changes intheir business and markets

` By 2012, business units will control at least 40% of the total budgetfor BI

` By 2010, 20% of organizations will have an industry-specific analyticapplication delivered via software as a service (SaaS) as a standardcomponent of their BI portfolio

` In 2009, collaborative decision making will emerge as a new productcategory that combines social software with BI Platform capabilities

` By 2012, one-third of analytic applications applied to businessprocesses will be delivered through coarse-grained applicationmashups

Gartner Research, Jan 2009, http://www.gartner.com/it/page.jsp?id=856714

Business Intelligence Predictions for2009 and Beyond

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Database systems and database integration

Data warehousing, data stores and datamarts

Enterprise resource planning (ERP) systems

Query and report writing technologies

Data mining and analytics tools

Decision support systems

Customer relation management software

Product lifecycle and supply chainmanagement systems

Technologies Supporting BI

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Leveraging new Web 2.0 technologiesto:

Enhance the presentation layer and

data visualizationProvide information on-demand and

greater customization

Increase ability to create corporate

and public data mashups

Allow interactive user-directedanalysis and report writing

Moving the Control of BI into theHands of the Users: BI 2.0

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BI careers cross over all industries:

BI solution architects and integrationspecialists

Business and BI analystsBI application developers and testers

Data warehouse specialists

Database analysts, developers andtesters

Database support specialists

Examples of BI Careers

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` Database theory and practice` Data mining and relational report writing` Enterprise data and information flow` Information management and regulatory

compliance` Analytical processing and decision making` Data presentation and visualization` BI technologies and systems` Value chain and customer service

management` Business process analysis and design` Transaction processing systems` Management information systems

BI Skill and KnowledgeClusters

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` Understanding of the flow of informationthroughout the organization

` Ability to effectively communicate with andget support from technology and businessspecialists

` Ability to understand the use of data andinformation in each organizational units

` Ability to present data in a user-centricframework

` Ability to understand the decision makingprocess and to focus on business objectives

` Ability to train business users in informationmanagement and interpretation

Critical Business and CustomerSkills and Knowledge

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For rapid analysis and display of largeamounts of data:

On-Line Analytical Processing (OLAP)

Multidimensional/ hyper cubesOLAP operations: Slice, Dice, Drill

Down/Up, Roll-up, Pivot

OLAP vendors and products

Multidimensional Analysis

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`Basics of data warehousing designand management

`Data warehouse architectures

`Data marts and data stores

`Data structures and data flow

`Dimensional modeling

`Extract, clean, conform and deliver

`Server management tools to package,backup and restore

`Database server activity monitoringand performance optimization

Data Warehousing

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Data mining: the extraction ofpredictive information from largedatabases.

Data trend, connection and behaviorpattern analysis

Data quality

Data mining tools

Predictive and business analytics

Descriptive and decision models

Statistical techniques and algorithms

Data Mining

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` Data representations

` Information graphics

` Data representation techniques andtools

` Visual representation trends and bestpractices

` Interactivity in data representation

` Tools and applications

` The user perspective on informationpresentation

http://www.smashingmagazine.com/2007/08/02/data-visualization-modern-approaches/

Data Visualization

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`Capturing and documenting thebusiness requirements for BI solution

`Translating business requirementsinto technical requirements

`BI project lifecycle and management

`Key Performance Indicators (KPIs),actions, and stored procedures

`User education and training

`Data-based decision making

`Effective communication andconsultation with business users

Working with Business and UserRequirements

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` Business Intelligence (BI) Specialistworks with business users to obtain datarequirements for new analyticapplications, design conceptual andlogical models for the data warehouseand/or data mart and communicatephysical designs to the database group.

The BI specialist also develops processesfor capturing and maintaining metadatafrom all data warehousing components.

Sample Role:Business Intelligence (BI) Specialist

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` Business Intelligence Developer is responsible fordesigning and developing Business Intelligence solutionsfor the enterprise. The Developer works on-site at thecorporate head quarters. Key functions include designing,developing, testing, debugging, and documenting extract,transform, load (ETL) data processes and data analysisreporting for enterprise-wide data warehouse

implementations. Responsibilities include: working closelywith business and technical teams to understand,document, design and code ETL processes; working closelywith business teams to understand, document and designand code data analysis and reporting needs; translatingsource mapping documents and reporting requirementsinto dimensional data models; designing, developing,testing, optimizing and deploying server integration

packages and stored procedures to perform all ETL relatedfunctions; develop data cubes, reports, data extracts,dashboards or scorecards based on business requirements.

Sample Role:Business Intelligence Developer

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` The Business Intelligence Report Developer isresponsible for developing, deploying and supportingreports, report applications, data warehouses andbusiness intelligence systems. Primaryresponsibilities include creating and automatingquality control processes and methods, providingmaintenance and enhancement of data warehousereports, creating ad hoc data warehouse queries,solving data related reporting issues anddocumenting all reports created. The reportdeveloper must have experience in user facing roles(e.g. gathering requirements, establishing projectobjectives, leading meetings) and in developing,selecting and conducting user training as needed.The Developer also participates in all aspects of datawarehouse projects including conceptualization,design, construction, testing, selection, deploymentand post-support implementation.

Sample Role:Business Intelligence Report Developer

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http://www.spscc.ctc.edu/academics/programs/business-intelligence/class-description.html

http://bellevuecollege.edu/business/info_bus_intelligence.html

http://www.austincc.edu/techcert/microsoftbusintell.php

http://www.sju-online.com/programs/business-intelligence-curriculum.asp

http://www.setfocus.com/MastersProgram/curriculum_businessintelligence.aspx

Top 5 On-Premise CRM Software Systemshttp://www.crmsoftware360.com/crmsoftware.htm

Resources

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` Data mining is the process of extracting hidden patterns from data. As more data isgathered, with the amount of data doubling every three years data mining isbecoming an increasingly important tool to transform this data into information. Itis commonly used in a wide range of profiling practices, such as marketing,surveillance, fraud detection and scientific discovery.

` Dashboards: Typically, information is presented to the manager via a graphicsdisplay called a Dashboard. A BIS (Business Intelligence System) Dashboard servesthe same function as a cars dashboard. Specifically, it reports key organizationalperformance data and options on a near real time and integrated basis. Dashboardbased business intelligence systems do provide managers with access to powerfulanalytical systems and tools in a user friendly environment.

` Enterprise resource planning (ERP) is a company-wide computer software systemused to manage and coordinate all the resources, information, and functions of abusiness from shared data stores.

` Online analytical processing, or OLAP is an approach to quickly answer multi-dimensional analytical queries. OLAP is part of the broader category of businessintelligence, which also encompasses relational reporting and data mining. Thetypical applications of OLAP are in business reporting for sales, marketing,management reporting, business process management (BPM), budgeting andforecasting, financial reporting and similar areas. The term OLAPwas created as aslight modification of the traditional database term OLTP (Online TransactionProcessing)

` Multidimensional/ hyper cubes: A group of data cells arranged by the dimensions ofthe data. For example, a spreadsheet exemplifies a two-dimensional array with thedata cells arranged in rows and columns, each being a dimension. A three-dimensional array can be visualized as a cube with each dimension forming a sideof the cube, including any slice parallel with that side. Higher dimensional arrayshave no physical metaphor, but they organize the data in the way users think oftheir enterprise. Typical enterprise dimensions are time, measures, products,geographical regions, sales channels, etc. Synonyms: Multi-dimensional Structure,Cube, Hypercube

` OLAP operations: Slice, Dice, Drill Down/Up, Roll-up, Pivot` See this site for all these definitions:

http://altaplana.com/olap/glossary.html#SLICE AND DICE

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Business Intelligence - Week09

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