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¶ … analytics professional, with comprehensive experience in delivering high quality Business Intelligence and Analytics solutions, highly knowledgeable in all data and reporting areas as well as leadership and team development, with an excellent sense of teamwork to get results by instilling commitment, trust, fairness, and creativity. I am passionate in the belief that every organization needs innovation and creativity to remain competitive and succeed. I have expertise in the following areas.
Position #1
Leading and managing a staff supporting a wide range of data solutions, dashboard visualizations, business intelligence services, and analytics.
Developing and implementing information systems including business intelligence functions, analytical research and measurement strategies, design, and improving support organization decision-making processes.
Presenting risk and profit statistics through various reporting mechanisms for executive management to support decision-making.
Delivering on-going ad-hoc data analysis to SQ[SHOULD THIS BE SQL?] enterprise business functions in multiple locations, using key performance indicators to evaluate business performance and productivity.
Evaluating and analyzing business processes and formulating applicable improvements. Determining overall priority of requests based on business impact, and aligning them with business priority and goals.
Coaching and directing team members, cherishing talent and hard work, valuing innovation and creativity.
Position #2
Collaborating with business units and technical teams on business solution development...
Ensuring successful closure and completion of all aspects of projects.
Developing information and object-based data warehouse to support Business Intelligence infrastructure and scalability. Advancing BI features to support executive management teams in information gathering and business performance tracking in real time.
Building and managing Information System, Technical Support, Production; supervising staff and managed budgets.
Designing automation processes to improve responsiveness and maintain high level of information systems service to all…
Data Warehousing and Data Mining Executive Overview Analytics, Business Intelligence (BI) and the exponential increase of insight and decision making accuracy and quality in many enterprises today can be directly attributed to the successful implementation of Enterprise Data Warehouse (EDW) and data mining systems. The examples of how Continental Airlines (Watson, Wixom, Hoffer, 2006) and Toyota (Dyer, Nobeoka, 2000) continue to use advanced EDW and data mining systems and processes to streamline
The data load for CRM systems is less significant than those of Accounting and Financial systems and applications. Those specific fields captured by customers are often compressed into measures of activity as well, and as a result the data load is less significant than in the areas of Accounting and Financial Systems and Reservation and Booking Systems. Even when customized reports are created based on CRM data; the data
Growth Aided by Data Warehousing Adaptability of data warehousing to changes Using existing data effectively can lead to growth Uses of data warehouses for Public Service Getting investment through data warehouse Using Data Warehouse for Business Information Ongoing changes in Data Warehousing The Origin of Data Warehousing and its current importance Relationship between new operating system and data warehousing Developing Organizations through Data Warehousing Telephone and Data Warehousing Choose your own partner Data Warehousing for Societal Causes Updating inaccessible data Data warehousing for investors Usefulness
Practice Fusion Strategic Planning Document: A Plan for Conversion, Integration, and Implementation of Electronic Health Records (EHR) in a Residential Care Facility Description of Institute The objective of this study is to examine the implementation of a new information technology data-management plan at a residential care facility for individuals with mental illness/mental retardation. This facility also provides day treatment and respite care. This will include a two-person practice for a Nurse Practitioner and a
HEALTH DATA ANALYSIS Public Health Data Analysis: The HIV ProjectPart One: Descriptive EpidemiologyThe data set selected for analysis is that of HIV. It presents the prevalence of HIV/AIDS among 359 cases by among other things, gender, ethnicity, city of residence, state, age, and sexual orientation.Place: the highest occurrence of HIV/AIDS is reported in the City of Atlanta, which accounts for 47.5 percent of HIV/AIDS cases among the 359 cases. The
solution of the heterogeneous data integration problem is presented with the explanation if the criteria to be employed in the approval of the validity. The tools to be used are also indicated. The proposed solution is to use semantic web technologies (Semantic Data Integration Middleware (SIM) Architecture) for the initial integration process (Cardoso,2007) and then couple it with broker architecture to improve integration and interoperability while solving the problem of