The Experts below are selected from a list of 24 Experts worldwide ranked by ideXlab platform
Sanjay Mamani - One of the best experts on this subject based on the ideXlab platform.
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Do Users Go Both Ways?
Organizational Applications of Business Intelligence Management, 2020Co-Authors: Hamid R. Nemati, Brad Earle, Satya Arekapudi, Sanjay MamaniAbstract:A challenging task for a Data Warehouse Team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the Data Warehouse project Team in BI tool selection.
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Do Users Go Both Ways?: BI User Profiles Fit BI Tools
International Journal of Business Intelligence Research, 2010Co-Authors: Hamid R. Nemati, Brad Earle, Satya Arekapudi, Sanjay MamaniAbstract:A challenging task for a Data Warehouse Team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the Data Warehouse project Team in BI tool selection.
Katherine L. Glassey - One of the best experts on this subject based on the ideXlab platform.
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Managing the Data Warehouse
1996Co-Authors: William H. Inmon, J. D. Welch, Katherine L. GlasseyAbstract:Monitoring Data Warehouse Activity. Monitoring Data Warehouse Data. Managing Security in the Data Warehouse. Administering the Data Warehouse Data Model. Managing MetaData in the Data Warehouse. The User-Centric Data Warehouse. Selecting End-User Access Tools. Managing the Integration and Transformation Interface. OLAP and the Data Warehouse Environment. Managing OLAP in the Data Warehouse Environment. Managed Redundancy in the Data Warehouse Environment. Data Warehouse Team Roles and Responsibilities. Data Warehouse Staffing Requirements. Data Warehouse End-User Roles and Responsibilities. Data Warehouse Project Principles. Appendix. Recommended Reading. Glossary. Index.
Rita King - One of the best experts on this subject based on the ideXlab platform.
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Performance Improvement Utilizing Multidisciplinary Collaborations and Analytics Are the Key Drivers in Paradigm Shift From Volume to Value in Improving Test Utilization, Patient Safety, and Quality of Care
American Journal of Clinical Pathology, 2019Co-Authors: Sachin Gupta, Jo Bean, Maura Pieretti, Larry Bischof, Victor Hruszczyk, Suzanne Chandler, Rita KingAbstract:Abstract Objectives The objective of this session is to understand the value of performance improvement, Teamwork, and laboratory analytics to improve test utilization, quality, and patient safety. This presentation will highlight BayCare Health System’s journey to achieve clinical excellence. Methods Laboratory performance improvement Team collaborated with the Enterprise Data Warehouse Team to build in-house Laboratory Analytics dashboards. The dashboard reports were used to identify opportunities and to implement best practices in collaboration with multidisciplinary Teams. The improvements were achieved by using performance improvement tools and were measured by various process and outcome metrics. Results: ( 1) Lab collaborated with the infection prevention Team and standardized the admission screening policies for rapid PCR testing. This has resulted in 50% and 85% reduction in MRSA and VRE testing, respectively, which led to annual savings of over $1 million/year. (2) Collaborating with the antibiotic stewardship Team and introducing new urinalysis reflex criteria resulted in an about 18,000 fewer urines reflexed to culture per year. This change led to about $190,000 per year reduction in expense of reagents and labor. (3) Collaborating with the Team of nursing, as well as monitoring and implementing best practices to reduce the blood contamination rates, has resulted in <1.4% blood contamination rates. (4) Multidisciplinary Teams were able to reduce transfusion rates for various blood products in our hospitals to less than 7%, which brings us to top-decile performers in Premier Database. (5) Collaboration with nursing and lab, by using lab analytics, was able to reduce emergency department lab orders result time by 21% and improve patient throughput. (6) The analytics reports also improved staff planning and efficiencies in specimen collection. Conclusion Performance improvement utilizing multidisciplinary collaborations and Lab Analytics are the key players in shifting the paradigm from volume to value, which eventually helps in appropriate test utilization and better patient care.
Hamid R. Nemati - One of the best experts on this subject based on the ideXlab platform.
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Do Users Go Both Ways?
Organizational Applications of Business Intelligence Management, 2020Co-Authors: Hamid R. Nemati, Brad Earle, Satya Arekapudi, Sanjay MamaniAbstract:A challenging task for a Data Warehouse Team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the Data Warehouse project Team in BI tool selection.
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Do Users Go Both Ways?: BI User Profiles Fit BI Tools
International Journal of Business Intelligence Research, 2010Co-Authors: Hamid R. Nemati, Brad Earle, Satya Arekapudi, Sanjay MamaniAbstract:A challenging task for a Data Warehouse Team is identifying users by their information needs and skills, and then providing the BI (Business Intelligence) tools that support each group to do their job effectively and efficiently. Recent studies have shown that the BI market place is saturated with a bewildering array of capabilities, functions and software suites. The current lack of consistent interpretation of Business Intelligence has created some confusion in the market place. This paper defines a framework to identify different user groups in an organization and map their needs and requirements to the different functionalities offered by different BI tool vendors. Through literature review, clear definitions of users were created and a set of BI tools that identifies functional needs was established. From that information, a questionnaire was developed that probed for the relationships between user types, tools, functions and other perceived values. Responses from 154 professionals were then used to develop a road map for the Data Warehouse project Team in BI tool selection.
Michael Abbey - One of the best experts on this subject based on the ideXlab platform.
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Oracle8 Data Warehousing
1998Co-Authors: Michael Abbey, Ian Abramson, Ben TaubAbstract:From the Publisher: A practical guide to successful Data Warehouse analysis,build,and roll-out. Your Expert Guide to Building and Launching Your Data Warehouse Data warehousing large-scale Data storage and analysis is among the most important areas of enterprise computing today. Master Data warehousing with the book officially authorized by Oracle Corporation,the leading provider of Data warehousing solutions to Fortune 1000 companies. Written by a solid Team of Oracle and Data warehousing experts Oracle8 Data Warehousing is your tactical guide to every important facet of Data warehousing with Oracle8. Whether you are a Database administrator,an information technology manager,or a Data Warehouse Team member,you'll find this book loaded with valuable advice on planning,building,rolling out,and maintaining your Data Warehouse for optimal performance. This book will help you to: Understand the Oracle Express Server Data warehousing solution. Investigate the physical components of a Data Warehouse including table size,expansion,disk stripping,and table partitioningBuild an effective warehousing Team and gain real-world insight into the business rationale that secures essential management buy-inOptimize the Oracle8 server for decision support. Make critical technical decisions such as choosing RAID technology,running the cost-based optimizer,as well as using read-only table space and Warehouse refresh mechanismsConvert a legacy Database system into an Oracle DataWarehouse. Gain a complete overview of Data extraction,transformation,and loading into the Oracle8 repositoryLearn the basics of ROLAP,MOLAP,and OLAP From general concepts to Oracle8's specific warehousing capabilities,Oracle8 Data Warehousing is all you need.
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Oracle Data warehousing
1996Co-Authors: Michael J. Corey, Michael AbbeyAbstract:From the Publisher: Oracle Data Warehousing is your tactical guide to every important facet of Data warehousing with Oracle7 and 7.3. Whether you're a Database administrator, an information technology manager, a Data Warehouse Team member, or an end user, you'll find valuable advice on how a Data Warehouse can benefit your operations, how to gain management's support, how to bring the Data Warehouse into fruition, and finally, how to maintain it at a supreme performance level. To address the full scope of warehousing your Data - from the general concepts through the finer points of Oracle7's warehousing capabilities - Oracle Data Warehousing is the only resource available that covers all bases.
