W. P. Carey School of Business ISACA Scholarship · W. P. Carey School of Business ... Key issues...

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W. P. Carey School of Business ISACA Scholarship

Transcript of W. P. Carey School of Business ISACA Scholarship · W. P. Carey School of Business ... Key issues...

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W. P. Carey School of Business

ISACA Scholarship

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ISACA Scholarship Spirit and Intent

The scholarship is being awarded to a student in theInformation Systems program, at the W. P. CareySchool of Business, with a strong interest in ITAudit or Information Security.

The Information Systems academic programcurriculum aligns with the goals and mission ofISACA Phoenix.

21/26/2015

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ISACA Scholarship Criteria

• Recipient shall be enrolled in the W. P. Carey School ofBusiness.

• Recipient must be pursing an academic degree in InformationSystems (minors and certificate programs are not eligible).

• Recipient shall demonstrate documented financial need asdefined by the ASU Office of Student Financial Assistance.

• Recipient must have a minimum 3.0 GPA.

• Recipient must be a junior or senior level student, as defined bythe University.

• Recipient must be an in-state student.

• Preference will be given to student pursuing an interest in ITAudit or Information Security.

31/26/2015

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ISACA Scholarship Gift

The scholarship fund was established in full with anoutright gift of $25,000.

The scholarship will be awarded annually. Each studentmust apply though WPC’s general scholarship applicationprocess; the IS Department Scholarship committee willmake the final decision on the applicant each year.

41/26/2015

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Overall Emphasis 2014-2015• Major efforts to shift programs’ emphasis to the “I” in IT

• Opting to lead our peer universities in an era where the traditional IT shopmust respond to organizations growing appetite for big data and analyticssolutions

• Embracing our scale by offering a robust mix of programs, dual major options,a variety of courses and teaching methods

• Increasing our connections across the University to position for improved ‘one-stop-shopping’ for IT talent in order to attract more industry partners

• Recruited over 10 new professors to reposition for the future; achieve top 10research ranking in IS

• Expanded our Industry Partnership model

• Now significantly support the recruiting of new companies to the Phoenixmetro area

• On the constant lookout for new industry needs and what we can do toaddress them (e.g., cybercrime)

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W. P. Carey Information SystemsDepartment Undergraduate Programs

Information SystemsSystemsInformation SystemsSystemsInformation SystemsSystems

CISBDA

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Technology AdvancesBut what’s valuable is not always soobvious…

Decisions Can Be Easy to MakeBut unless there is evidence, theymight not be very good ones….

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Informa( on)Systems)

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Informa( on)Systems)

!!

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Informa( on)Systems)

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COMPUTER INFORMATIONSYSTEMS

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With computer technology,change is relentless

From the first computer to today…

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The search for value is constant!

Trained CIS professionals learn a way of examining technology’s value

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But, when we think we’vefigured it out, then…

…… Along comes a new technology!

From the first mobile phone to iPhone,And on to a new set of elephants in the room…

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• Work with all of the people involved toaccurately capture the ‘as is’ state

• Think about how a database, a web-enabled interface, multi-mediacapabilities and other computer-basedapproaches might improve the process

• Collaborate to BRING ABOUT CHANGE!

• Old process:

New Process:

What do CIS Graduates do?They reinvent business processes!

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BUSINESS DATA ANALYTICS

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With decision making, evidence is keyThe search is on for the best evidenceto support business decision making inmarketing, finance, accounting, supplychain, economics and management – datacan provide that evidence

But, the right evidence needs tobe available at the right time – supportingtimely insight to action

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What do Business Data Analytics Grads Do?

• They provide evidence to support decision making

• They discover the best evidence by finding out what leads tobusiness value

• They deploy business rules based on their discoveries inapplication systems so all employees can make better decisions

• They do experiments to see if innovation ideas pan out

• The transform data to separate the message from the noise

• They teach employees how to make better decisions

• They change business processes in ALL

areas of business

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UNDERGRADUATE PLACEMENT PROFILE

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Department of Information SystemsW. P. Carey School of BusinessArizona State University

Class Profile Data

2011-2012 2012-2013 2013-2014Total Students Enrolled 441 462 430

AZ Resident 80.7% 85.1% 83.6%Non-Resident 19.3% 14.9% 16.4%

Male 77.6% 77.7% 81.5%Female 22.4% 22.3% 18.5%

Average GPA 3.27 3.28 3.28

EthnicityAmerican Indian 0.6% 0.9% 0.3%Asian American 10.8% 12.0% 14.2%

African American 4.0% 3.2% 2.8%Hispanic 14.5% 14.9% 14.8%

Pacific Islander 0.0% 0.3% 0.3%White 63.9% 63.0% 58.6%

Two or More Races 0.6% 1.1% 2.5%Unknown 0.9% 0.9% 0.0%

International 4.8% 3.7% 6.5%

Students also pursuing aconcurrent degree (FIN, ACC,

SCM, MKT, MGT, etc) 26 49 55

Bachelor of Science in Computer Information Systems

Current # ofBDA Majors:

92

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MS in Information Management(on-site and online) – Most graduates stay with their current employer

• High Potential (HiPo) IT employees need to learn to:– Engage in business strategy setting and execution– Manage an integral cost/revenue center that is highly

complex and replete with internal and externalrelationship management challenges

– Embrace new technologies to support strategy, enablecost efficiencies, improve decision outcomes and providefor information assurance

– Serve as leader of an incubator for technology- and data-driven innovation across the business

– Bridge consumerization of IT trends (e.g., app storedeployment model) with traditional (SDLC) and emergingdeployment approaches (agile)

– Challenge status quo where disruptive technology forcesprovide means for radical transformation

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The Courses• Strategic Value of Information Technology

The mission-critical role of IT in today’s and tomorrow’sbusiness world

• Business Process & Workflow AnalysisA comprehensive understanding of business processes andworkflows as a foundation for technology-driven efficienciesand improvement

• Data and Information ManagementA comprehensive study of data and document managementas a foundation for improved enterprise decision making andperformance

• Business IntelligenceA comprehensive understanding of business intelligence, itstechnological and managerial aspects and its strategic use togain a sustainable competitive advantage

• Enterprise SystemsA survey of ERP, CRM, SCM, Enterprise eCommerce, andvertical industry enterprise applications, with an emphasison best practices for integration and architectural integrity

Information Security and Controls

What management can (and should) do to optimize the

effectiveness of information security and internal controls

for effective governance of IT

IT Services and Project Management

A broad survey of the project management discipline, from

best practices for detailed project work plans to

establishing a high-functioning PMO

Information-Enabled Business Modeling

Using spreadsheet models to analyze complex,

unstructured business problems in order to make better

decisions

Emerging Technologies in IT

Introducing students to a framework of evaluating and

managing emerging technologies in IT from both

technological and business perspectives

Applied Project

The program capstone course in which students, working in

teams, gain real-world experience by developing an IT-

enabled transformation plan for a business and present

their findings and deliverables

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The MSIM Evening Program

Summer Fall (1) Fall (2) Spring (1) Spring (2)

StrategicValue of IT

BusinessProcess &WorkflowAnalysis

Data andInformation

Mgt.

BusinessIntelligence

EnterpriseSystems

InformationSecurity &Controls

IT Services &Project Mgt.

Information-EnabledBusinessModeling

EmergingTechnolo-gies in IT

AppliedProject

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The MSIM Online Program

Class #6 Class #7 Class #8 Class #9 Class #10

InformationSecurity &Controls

IT Services &Project Mgt.

Information-EnabledBusinessModeling

EmergingTechnolo-gies in IT

BusinessIntelligence

AppliedProject

Class #1 Class #2 Class #3 Class #4 Class #5

StrategicValue of IT

BusinessProcess &WorkflowAnalysis

Data andInformation

Mgt.

EnterpriseSystems

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MS in Business Analytics• Business data scientists (but we don’t subscribe to

what I call the ‘Unicorn Hypothesis’) – charter classgraduated May, 2014. Increasing hands-on toolexperience with real datasets; our ExecutiveAdvisory Board was the driving force behindcurriculum. Next up: the Internet of Things, “smart”solutions, the “Industrial Internet”, assetoptimization, etc. will reshape what is expected oftoday’s data science teams

• The IS and Supply Chain Management Departmentsin the W. P. Carey School partner in delivering theMSBA from this forward looking perspective

• Online platform version starting January 2015

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The Courses• Intro to Enterprise Analytics

Analytics architecture, database, ER modeling, data warehousing,dimensional modeling (SQL, Tableau, IBM Cognos)

• Intro to Applied AnalyticsPivot tables, Descriptive stats, linear models, Regression, Forecasting,

Simulation, Decision analysis, Trees, Sensitivity, Optimization

• Data Mining IData mining, classification systems, cluster analysis, recommendation

systems, market basket analysis (association rules). (SPSS Modeler/SAS

Enterprise Miner)

• Analytical Decision Making ISpreadsheet modeling, Optimal allocation of scarce resources, Linear,

nonlinear and integer problems, Sensitivity analysis, Genetic algorithms,

Fixed-charge problems, Cluster analysis, Discriminant analysis

• Applied Regression ModelsSimple and multiple linear regression, quantitative/qualitativepredictors, analysis of residuals (classical assumptions), logisticregression, time-series and forecasting.

Data-Driven Quality ManagementPrincipals of Quality Management and Six Sigma, Six Sigma DMAIC, Design

for Six Sigma, Six Sigma Implementation

Data Mining IIMap reduce, Data stream mining, Link analysis, Frequent item sets,

Clustering, Web advertising, Mining social networks, Dimensionality

reduction, Large scale machine learning

Analytical Decision Making IIAnalytical models of uncertainty, Decision trees, Monte Carlo simulation,

Stochastic optimization

Marketing Analytics

Models for predicting probability, magnitude, timing of product purchase

and market share. Key issues in marketing mix (pricing,

advertising, product attributes), conjoint analysis, perceptual mapping.

Business Analytics Strategy

Analytics applications in operations, sales and marketing, supply chain,

finance and banking, real –time BI and predictive analytics,

Experimentation, Organizing for analytics

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Fall Spring

Intro toEnterpriseAnalytics

Intro toApplied

Analytics

Data MiningI

AppliedRegression

Models

AnalyticalDecision

Making ToolsI

MarketingAnalytics

Data MiningII

Data DrivenQualityMgmt

BusinessAnalyticsStrategy

AnalyticalDecision

Making ToolsII

The Full-Time MSBA Program

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The MSBA Online Program

Class #6 Class #7 Class #8 Class #9 Class #10

Data DrivenQualityMgmt

Data MiningII

AnalyticalDecisionMaking II

MarketingAnalytics

AnalyticalDecisionMaking I

BusinessAnalyticsStrategy

Class #1 Class #2 Class #3 Class #4 Class #5

Intro toApplied

Analytics

AppliedRegression

Models

Data MiningI

Intro toEnterpriseAnalytics

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ISACA Scholarship Gift

Thank you for your support ofour students!

261/26/2015