Admission Essays at 2 pages each. Order Instructions has details and resume.

Please address each of these questions in essay format. No essay should exceed two pages.

1. Why do you want to earn an Executive Doctorate in Business? What are your long-term goals?



2. What are your goals and expectations for participating in the program?



3. In order to excel, doctoral students will need to commit 25-30 hours per week to their studies. What is your strategy for successful participation in the Executive Doctorate in Business program?



Resume Info:

Summary:

Successful business intelligence experience in small, medium, and large-scale organizations. Progressive experience in software and hardware solution deployments from business case development to full implementation including sales engagement. An innovative, goal-oriented leader with proven abilities in developing BI business process area solutions in enterprise reporting / dashboards / scorecards, data warehousing / data marts, customer / supplier relationship management, supply chain management, product lifecycle management including quantitative and qualitative analytical modeling. Developed and managed project engagements, business relationships, and staff members.

BI Roles, Skills and Training:

i · Business Intelligence Manager/Architect/Sales Engineer

i · Data Warehouse/Mart/Cube Modeling

i · ETL Development

i · BI Project Management

i · Business Analysis / Data Analysis / Data Integration

i · BI Report / Dashboard / Scorecard Developer

i · Advanced Workshop for Experienced Data Warehouse Designers Ralph Kimball

i · Corporate Meta Data & Corporate Information Factory a Bill Inmon

i · Various Pre-Built BI data models in Commercial and Retail Environments

i · Accenture, IBM, Bearing Point, and Hitachi Project Delivery Methodologies

i · Utilized (TDWI) The Data Warehouse Institute Project Quality Approaches

i · Utilized (PMI) Project Management Institute Delivery Approaches

Professional Overview:

i § Over 15 Years of BI Business Case development and Master Data Management (MDM) knowledge specializing in solving complex data situations using data warehouse implementation methodologies and solution frameworks from Ralph Kimball and Bill Inmon

i § Highly proficient in Enterprise Data Architecture, Governance, Stewardship. Specialize in Data Integration, Change Data Capture (CDC) and Data Warehouse/BI Architecture. Proficient in large-scale database using Oracle / DB2 / Teradata / Microsoft enterprise database technologies.

i § Highly Proficient in Enterprise Data Warehouse Capacity Planning, Infrastructure Design, Tools Evaluation Processes (ETL, OLAP, Data Quality and Metadata, Enterprise Information Portals) and developing SLA guidelines.

i § Outstanding JAD workshop facilitation skills. Outstanding interpersonal and strategic communication skills that align with CxO level directives.

i § Provided navigation of enterprise data management strategies and solutions to drive simplification, scalability, reusability, and integration of legacy applications, data warehousing, and business intelligence tools.

i § Provided leadership and support for business analysis, design, development, and implementation of conceptual, logical, and physical models to optimize existing data architectures to enhanced reporting and analytical data for operational and strategic data users.

i § Coordinated with Enterprise Data Governance to establish policies on Metadata, Reference, Master, Transaction, and Historical data categories of reuse, granularity, modularity, encapsulation, componentization, standards, identification, provisioning, and monitoring.

i § Coordinated with ETL development on business rules on data extraction, translation, transformation, loading, replication, and unification techniques in the enterprise data warehouse.

i § Provided coordination on data standards for cleansing master data used in operations to improve data quality and consistency in the enterprise.

i § Developed data marts, data stores, and divisional data warehouses for departmental reporting.

i § Developed financial workflows, data models, and Enterprise ERP/CRM/Disparate Applications including system/data interface, functionality configuration, and enterprise analysis/reporting.

i § Developed data warehouse integration strategies with DB2, Oracle, SQL Server, and MS Access databases using ETL tools including Ab Initio, DataStage, Informatica, DataFlux, and DTS.

i § Utilized BI tools for project deployments including Cognos, Business Objects/Crystal, SAS/Data Flux, Oracle DW, Siebel Analytics, and Microsoft(SSRS, SSAS,SSIS). Data analysis using Toad, MS Access, and SQL Scripts.

i § Developed and trained users on multiple enterprise systems including ERP, CRM, and BI tools.

i § Developed Dimensional Modeling techniques to determine business indicators on unified data.

i § Developed strong project relationships between business leaders, units, technology, and vendors.

i § Develop Business Intelligence Dashboards and Scorecards from Key Performance Metrics.

i § Extensive Project Management IT development exposure including strategy development, request for proposal, statement of work, and project scope/scheduling/cost.

i § Developed and utilized Microsoft SharePoint Services for project collaboration and integration services associated with BI projects and continuous development activities.

BI Experience Skills:

i § Business Case translation skills into information architecture solution including Strategy Planning, Performance Mgmt, Process Optimization, Data Governance, and Risk Management.

i § Information Delivery: Reports/Dashboards/Scorecards/Predictive Analytics.

i § MDM in Customer/Product/Services Unification and Hierarchy/Dimension Coordination.

i § BI exposure in Customer, Strategic, Financial, Risk, Operations, and Location Intelligence Areas.

i § Participated in developing many data warehouse blueprints using various BI software platforms.

i § Data Integration rules based on Semantics, Business, Structural, and Processing Standards.

i § Metadata Mgmt planning in discovery, repository, integration, and reference strategies.

i § Data Quality Planning using Profiling, Cleansing, Auditing, and Reconciliation techniques.

i § ETL integration tools (Data Integrator, Microsoft SSIS/DTS, Informatica, Data Stage, Ab Initio).

i § OLAP tools (OBIEE/Siebel, SSAS, Cognos, Business Objects, Microstrategy).

i § Reporting Tools (Business Objects, Microstrategy , Oracle Reports, SSRS).

i § Data Quality, Information Quality, MDM, Data Governance, and Data Stewardship.

i § Enterprise Business Systems deployments (ERP, CRM, SCM, BPM, SRM, PLM).

i § Leading RDMS technologies (Teradata, Oracle, IBM/DB2, Microsoft).

i § Data architecture (Data Warehousing, ODS, Data Marts, Data Staging).

i § Data Modeling tools (Erwin, Oracle Designer 2000, Visio, Rational Rose).

i § Various Software Development Life Cycle (SDLC) techniques across multiple industries including Agile and Traditional approaches.

i § Enterprise Architecture Designs, Processes, Standards and Guiding Principles.

Technical & Functional Training:

i § Advanced Workshop for Experienced Data Warehouse Designers Ralph Kimball

i § Corporate Meta Data & Corporate Information Factory a Bill Inmon

i § Various Pre-Built BI data models in Commercial and Retail Environments

i § Accenture, IBM, Bearing Point, Hitachi, MCI/WorldCom, and Bechtel Project Delivery Methodologies

i § Attending CFA (Chartered Financial Analyst) courses to improve data awareness in asset valuation and portfolio management based on financial theory, probability/statistics, microeconomics/macroeconomics, accounting/financial statement analysis, corporate finance, debt valuation, derivative analysis, and alternative investments.

Industry Sectors associated with Software Development:

Manufacturing, Commercial/Mortgage Banking, Insurance, Academia, Telecom, Design/Construction Engineering, Public/Govt Sector, Public Utilities, Pharmaceuticals, and Nuclear.

Completed Education:

Keller Graduate School of Management / Georgia Stat