Paper DM10 SAS & Clinical Data Repository Karthikeyan Chidambaram

Save this PDF as:
 WORD  PNG  TXT  JPG

Size: px
Start display at page:

Download "Paper DM10 SAS & Clinical Data Repository Karthikeyan Chidambaram"

Transcription

1 Paper DM10 SAS & Clinical Data Repository Karthikeyan Chidambaram Cognizant Technology Solutions, Newbury Park, CA Clinical Data Repository (CDR) Drug development lifecycle consumes a lot of time, money and effort. With increasing competitions and stiff regulations set by regulatory bodies, the pharma companies are forced to have a better handle on the Clinical Trial Data Management, analytics and reporting space. The CDR is an integrated source of clinical data and metadata sourced from various data sources and departments. Effective Management of clinical trials through monitoring the quality and efficiency of the data collected allow medical review decisions based on safety and efficacy of investigational drugs and statistical analysis within and across trials, which are the main business drivers for implementation of CDR. Key issues faced by the industry today in the clinical trial and clinical safety space include: Non-uniform sets of data from EDC, CRO, Purchased Trial. (Patient Data, Metadata, Financial Data) Data not integrated between Clinical Trial & Clinical Safety Performance Metrics delay in getting Safety Signal Detection not effective on insufficient & poor quality of data. Double Data Entry Reporting is mostly manual, time consuming & costly. Manual reconciliation of data High down time & maintenance window. Key Features of CDR: Common Data Repository platform that suits all the industry interchange models - SDTM, ODM, ADAM SDTM standards and XML format ensures data transfer from multiple sources such as CROs, LAB vendors etc. Storage format that facilitates the usage of FDA tools that will be used to analyze the submitted data (compliance to JANUS). Processing only Incremental (Delta) data, Optimizing the network traffic

2 Clinical Data Repository Framework The key features required of the data warehouse architecture are: 1. Provision for a standard format for information collation and representation. A consistent definition and presentation of data can be achieved using a Central Metadata Repository supported by an Exchange Architecture. 2. The data coming from various internal and external source systems need to be verified before consolidation and aggregation. This can be achieved through stage transmitted data, i.e., where the data goes through an intermediate verification stage before consolidation. 3. There is a definite need for storing history data. This requirement will warrant the need for establishing a Data Warehouse that can store time-varied data. Time dimension would need to be implemented or a history needs to be maintained in the staging area. 4. There is a need for generating reports of an analytical nature. This will warrant the use of a best-of-breed OLAP tool running against a dimensionally modeled Data Warehouse. 5. There is a need to provide accelerated response times for the reports. Report using a dimensionally modeled system in which case the data access would be a simple query against the star schema can accelerate responses. 6. Services with reusable functional processes with its integrated subcomponents

3 Data Sources: The CDR system is capable of extracting data from both the structured and unstructured datasets. Structured data sources include the standard data elements such as CRO Data, EDC Data, Safety data, AERS data, Prescription Data, Patient Data, Purchased Trial data, Dictionary Data and Coding Systems. The unstructured datasets include the documents such as IVRS. The Source System Interface Architecture Component manages the extraction, verification and integration of changed data from the Source System into the Interface Design Framework and facilitates its transfer to the eclinical Data Warehouse Data Staging Subcomponent. Staging Layer: The staging layer is a temporary storage area where data extracted from the source systems is stored for further processing. The staging layer helps in overcoming any synchronization issues with data extraction from the source systems. Data in the staging layer is cleaned, integrated and transformed using ETL tool. Data which fails verification is moved to Suspended Processing and a corresponding quality assurance alert is forwarded to the Source System Custodian for resolution The data extraction, cleansing, transformation, and loading perform all of the conversions, summarization, key changes, structural changes and condensation needed to transform in a standard format that can be used by the decision support analytical tools. The key functionalities of this layer are: 1. Discard any unwanted data 2. Convert to common data names and definition 3. Calculate summaries, aggregation and derived data 4. Establish defaults for missing data 5. Accommodate source data definition changes The entire process of ETL follows a layered approach. In the layered approach, the ETL takes place in multiple layers depending on the types of transformation and processing to be carried out on the various data sources. The data transformation and processing rules, common to the various data sources are applied in a common ETL layer. Apart from the common layer, the rules specific to each of the data sources is carried out at source specific layers. DataWarehouse Layer: The data warehouse encompasses the integrated and verified data from the Data Staging Subcomponent for Enterprise-wide reporting. Data from the various Internal and External Sources - 3 -

4 Systems are consolidated into common data structures to facilitate plans for the consistent presentation and definition of data. This component also includes the process to support a primary data warehouse technique known as the Slowly Changing Dimension Policy. This technique provides a data warehouse with the flexibility of preserving the representation of data. The Data Warehouse Layer is based on a dimensional data model that functions as the central repository for informational data. Operational data from the source layer is cleansed, aggregated, summarized, organized and stored in this layer to make the entire environment manageable and accessible by end-user query and analysis tools. Data entering the data warehouse has an integrated structure and format. In addition, as the data warehouse contains historical data, it must be capable of holding and managing large volumes of data as well as different data structures. Reporting Layer: The CDR is capable of generating reports in any standard OLAP tool. The OLAP tools view information in the form of cubes, or multiple dimensions and allow the user to drill down to lower levels of detail and slice across different dimensions. They are easy to use for the clinical analysts or the epidemiologists as part of their research to answer questions for the decision making process. While there will be a whole lot of pre-defined reports that are available, the solution also gives the flexibility of highly customized reports. These reports help in visualization of the data in graphical manner that help in easy and quick decision-making. SAS Tools for Clinical Data Repository: The CDR framework can be effectively built using the SAS 9 BI Platform. SAS has a deep commitment to the development of data standards in life sciences. Anticipating the movement of the industry and its governing regulatory bodies toward standards, SAS has developed the technology available today to support the emerging CDISC data models. Globally recognized as the industry leader in analytics, the de facto standard for clinical data analysis, the FDA standard for electronic submissions and the choice of 100% percent of the Fortune 500 life sciences companies, SAS assures accurate, consistent and reliable analysis of pharmaceutical research data

5 Staging Layer: SAS Data Integration Studio (also know as SAS ETL Studio) is an ideal tool for the building the staging area for the CDR. SAS Data Integration Studio is a visual design tool for building, implementing and managing data integration processes regardless of data sources, applications or platforms. Powerful data transformations efficiently meet enterprise data integration requirements. The creation and management of data and metadata are improved with extensive impact analysis of potential changes made throughout the entire data integration process. SAS Data Integration Studio can completely integrate data from anywhere or any source, cleanse it, merge and/or transform it and place it into a target destination. Standardized metadata is shared across the entire SAS Enterprise Intelligence Platform, and multiple designers can capture, manage, organize and exploit data across the enterprise, quickly and repeatedly. Data Warehouse Layer: SAS SPD Server will be a ideal choice for housing the DW Data. The SAS Scalable Performance Data Server is optimized to deliver subsets of information that need to be harvested from large enterprise data mountains, quickly and upon demand. The capabilities of the SAS Scalable Performance Data Server ensure that business intelligence and analytics applications maintain consistent performance and that ETL processes do not exceed the time available as the amount of your enterprise data continues to grow. Reporting Layer: With the SAS 9 BI architecture, there are a band of tools from SAS for effective and efficient reporting. Some of the prominent tools and their utility are: SAS Web report studio: SAS Web Report Studio provides intuitive and efficient access to query and reporting capabilities on the Web. With SAS Web Report Studio, we can empower business users and decision makers across the enterprise with self-sufficient access to high quality data and the predictive power of SAS analytics, while minimizing administrative overhead, maximizing resources and freeing IT staff to focus on strategic projects. SAS OLAP Server: SAS OLAP Server is a multidimensional data store designed from the outset to provide quick access to pre-summarized data, generated from vast amounts of detailed data

6 Decision makers need fast access to accurate information. Instantaneous access to summarized data is expected so timely decisions can be based on knowledge instead of gut feelings. CDR Framework with SAS Components: SAS Add-in for Microsoft Office: The SAS Add-In for Microsoft Office enables business users to transparently leverage the power of SAS analytics, reporting and data access directly from Microsoft Office via integrated menus and toolbars. SAS Add-In for Microsoft Office revolutionizes the world of business intelligence. It provides easy access to SAS broad and deep set of analytic, reporting and data access functionality from within the Microsoft Office environment. SAS Information Map Studio: SAS Information Map Studio creates information maps business metadata that translates your warehouse and data structures into terms that business user can understand, enabling consistency and self-sufficiency in getting the information needed to drive decisions. SAS information maps provide a business metadata layer that enables your business users to ask questions and get answers themselves. This frees IT resources from onetime reporting requests and reduces the need to provide training in programming and database structures. Centralized Metadata Management: SAS Metadata Server provides an open, central repository for all metadata that is created and required by an organization to support its enterprise - 6 -

7 intelligence strategy. Unless organizations operate with a single source of integrated metadata (information about data sources, content, business rules and access authorizations), it is a struggle to deliver consistent information and intelligence. The SAS Metadata Server delivers the power to integrate, share, centrally manage and leverage metadata across entire organizations. Conclusion: Per Gartner By 2007, agility in data integration, management and access will be the single greatest source of competitive advantage for life sciences research organizations. Considering the current life sciences industry dynamics, it is critical for any organization to have a robust and scalable reporting architecture in the clinical space and CDR is an ideal solution for the same. With the use of SAS components, the organizations can develop a powerful CDR application based on a single platform SAS BI architecture. Some of the benefits of using SAS based solution include: SAS is widely used and accepted tool by most of the Life Sciences companies in the world The complete framework can be developed using just one single platform SAS 9 BI platform as opposed to using a suite of products from multiple vendors. Reduced deployment time Low maintenance overheads as only SAS needs to be maintained as opposed to overheads when considering disparate vendor tools REFERENCES Gartner Analysis, SAS Online Help, SAS product descriptions from ACKNOWLEDGMENTS The Author would like to thank his family, friends, peers and supervisors for their encouragement, support and suggestions. CONTACT INFORMATION Karthikeyan Chidambaram - Project Manager with the Life Sciences Practice, Cognizant Technology Solutions, is a SAS certified professional and has over 9 years of experience in SAS in a variety of roles including SAS Administration, Statistical Analysis and ETL programming. Author has worked with multiple Pharmaceutical / Biotechnology Companies as a consultant, - 7 -

8 providing consulting solutions in the SAS domain, right from Drug Discovery to Post-Marketing analysis. Author has presented at the WUSS 12, Pasadena CA,PharmaSUG 2005, Phoenix, AZ and PharmaSUG 2006, Bonita Springs, FL. Contact the author at: Karthikeyan Chidambaram Cognizant Technology Solutions 1710, W Hillcrest Dr, 224 Newbury Park, CA SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. Indicates USA registration. Other brand and product names are trademarks of their respective companies

Gregory S. Nelson ThotWave Technologies, Cary, North Carolina

Gregory S. Nelson ThotWave Technologies, Cary, North Carolina Using SAS 9 in Clinical Research Gregory S. Nelson ThotWave Technologies, Cary, North Carolina Abstract For 30 years SAS has been used in pharmaceutical research settings for data management, analytics

More information

Next Generation Business Performance Management Solution

Next Generation Business Performance Management Solution Next Generation Business Performance Management Solution Why Existing Business Intelligence (BI) Products are Inadequate Changing Business Environment In the face of increased competition, complex customer

More information

SAS Business Intelligence Online Training

SAS Business Intelligence Online Training SAS Business Intelligence Online Training IQ Training facility offers best online SAS Business Intelligence training. Our SAS Business Intelligence online training is regarded as the best training in Hyderabad

More information

Using SAS in Clinical Research. Greg Nelson, ThotWave Technologies, LLC.

Using SAS in Clinical Research. Greg Nelson, ThotWave Technologies, LLC. Using SAS in Clinical Research Greg Nelson, ThotWave Technologies, LLC. Outline Introduction and Overview SAS 30 years of evolution The SAS 9 Platform Clinical Research Imperatives Summary and Conclusions

More information

SQL Server 2012 Business Intelligence Boot Camp

SQL Server 2012 Business Intelligence Boot Camp SQL Server 2012 Business Intelligence Boot Camp Length: 5 Days Technology: Microsoft SQL Server 2012 Delivery Method: Instructor-led (classroom) About this Course Data warehousing is a solution organizations

More information

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya

Chapter 6 Basics of Data Integration. Fundamentals of Business Analytics RN Prasad and Seema Acharya Chapter 6 Basics of Data Integration Fundamentals of Business Analytics Learning Objectives and Learning Outcomes Learning Objectives 1. Concepts of data integration 2. Needs and advantages of using data

More information

MDM and Data Warehousing Complement Each Other

MDM and Data Warehousing Complement Each Other Master Management MDM and Warehousing Complement Each Other Greater business value from both 2011 IBM Corporation Executive Summary Master Management (MDM) and Warehousing (DW) complement each other There

More information

Transforming CliniCal Trials: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions

Transforming CliniCal Trials: The ability to aggregate and Visualize Data Efficiently to make impactful Decisions : The ability to aggregate and Visualize Data Efficiently to make impactful Decisions www.eclinicalsol.com White Paper Table of Contents Maximizing Your EDC Investment... 3 Emerging Trends in Data Collection...

More information

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS

SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS SAP BusinessObjects SOLUTIONS FOR ORACLE ENVIRONMENTS BUSINESS INTELLIGENCE FOR ORACLE APPLICATIONS AND TECHNOLOGY SAP Solution Brief SAP BusinessObjects Business Intelligence Solutions 1 SAP BUSINESSOBJECTS

More information

The IBM Cognos Platform

The IBM Cognos Platform The IBM Cognos Platform Deliver complete, consistent, timely information to all your users, with cost-effective scale Highlights Reach all your information reliably and quickly Deliver a complete, consistent

More information

End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM

End-to-End E-Clinical Coverage with Oracle Health Sciences InForm GTM End-to-End E-Clinical Coverage with InForm GTM A Complete Solution for Global Clinical Trials The broad market acceptance of electronic data capture (EDC) technology, coupled with an industry moving toward

More information

Integrate and Deliver Trusted Data and Enable Deep Insights

Integrate and Deliver Trusted Data and Enable Deep Insights SAP Technical Brief SAP s for Enterprise Information Management SAP Data Services Objectives Integrate and Deliver Trusted Data and Enable Deep Insights Provide a wide-ranging view of enterprise information

More information

Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole

Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole Paper BB-01 Lost in Space? Methodology for a Guided Drill-Through Analysis Out of the Wormhole ABSTRACT Stephen Overton, Overton Technologies, LLC, Raleigh, NC Business information can be consumed many

More information

SimCorp Solution Guide

SimCorp Solution Guide SimCorp Solution Guide Data Warehouse Manager For all your reporting and analytics tasks, you need a central data repository regardless of source. SimCorp s Data Warehouse Manager gives you a comprehensive,

More information

Integrating SAP and non-sap data for comprehensive Business Intelligence

Integrating SAP and non-sap data for comprehensive Business Intelligence WHITE PAPER Integrating SAP and non-sap data for comprehensive Business Intelligence www.barc.de/en Business Application Research Center 2 Integrating SAP and non-sap data Authors Timm Grosser Senior Analyst

More information

SAS BI Course Content; Introduction to DWH / BI Concepts

SAS BI Course Content; Introduction to DWH / BI Concepts SAS BI Course Content; Introduction to DWH / BI Concepts SAS Web Report Studio 4.2 SAS EG 4.2 SAS Information Delivery Portal 4.2 SAS Data Integration Studio 4.2 SAS BI Dashboard 4.2 SAS Management Console

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777

Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777 Implementing a Data Warehouse with Microsoft SQL Server 2012 MOC 10777 Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components of a data warehousing

More information

Make the right decisions with Distribution Intelligence

Make the right decisions with Distribution Intelligence Make the right decisions with Distribution Intelligence Bengt Jensfelt, Business Product Manager, Distribution Intelligence, April 2010 Introduction It is not so very long ago that most companies made

More information

Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners

Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners Managing and Integrating Clinical Trial Data: A Challenge for Pharma and their CRO Partners Within the Pharmaceutical Industry, nothing is more fundamental to business success than bringing drugs and medical

More information

1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing

1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 1. OLAP is an acronym for a. Online Analytical Processing b. Online Analysis Process c. Online Arithmetic Processing d. Object Linking and Processing 2. What is a Data warehouse a. A database application

More information

Tableau Metadata Model

Tableau Metadata Model Tableau Metadata Model Author: Marc Reuter Senior Director, Strategic Solutions, Tableau Software March 2012 p2 Most Business Intelligence platforms fall into one of two metadata camps: either model the

More information

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success

Knowledgent White Paper Series. Developing an MDM Strategy WHITE PAPER. Key Components for Success Developing an MDM Strategy Key Components for Success WHITE PAPER Table of Contents Introduction... 2 Process Considerations... 3 Architecture Considerations... 5 Conclusion... 9 About Knowledgent... 10

More information

Business Intelligence Solutions for Gaming and Hospitality

Business Intelligence Solutions for Gaming and Hospitality Business Intelligence Solutions for Gaming and Hospitality Prepared by: Mario Perkins Qualex Consulting Services, Inc. Suzanne Fiero SAS Objective Summary 2 Objective Summary The rise in popularity and

More information

BUSINESSOBJECTS DATA INTEGRATOR

BUSINESSOBJECTS DATA INTEGRATOR PRODUCTS BUSINESSOBJECTS DATA INTEGRATOR IT Benefits Correlate and integrate data from any source Efficiently design a bulletproof data integration process Improve data quality Move data in real time and

More information

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning

Course Outline: Course: Implementing a Data Warehouse with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Course Outline: Course: Implementing a Data with Microsoft SQL Server 2012 Learning Method: Instructor-led Classroom Learning Duration: 5.00 Day(s)/ 40 hrs Overview: This 5-day instructor-led course describes

More information

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement

Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Creating a Business Intelligence Competency Center to Accelerate Healthcare Performance Improvement Bruce Eckert, National Practice Director, Advisory Group Ramesh Sakiri, Executive Consultant, Healthcare

More information

ClinPlus. Clinical Trial Management System (CTMS) Technology Consulting Outsourcing. Expedite trial design and study set-up

ClinPlus. Clinical Trial Management System (CTMS) Technology Consulting Outsourcing. Expedite trial design and study set-up Technology Consulting Outsourcing ClinPlus Clinical Trial Management System (CTMS) Expedite trial design and study set-up Efficiently collect and manage patient and trial administration data Benefit from

More information

Practical meta data solutions for the large data warehouse

Practical meta data solutions for the large data warehouse K N I G H T S B R I D G E Practical meta data solutions for the large data warehouse PERFORMANCE that empowers August 21, 2002 ACS Boston National Meeting Chemical Information Division www.knightsbridge.com

More information

A Knowledge Management Framework Using Business Intelligence Solutions

A Knowledge Management Framework Using Business Intelligence Solutions www.ijcsi.org 102 A Knowledge Management Framework Using Business Intelligence Solutions Marwa Gadu 1 and Prof. Dr. Nashaat El-Khameesy 2 1 Computer and Information Systems Department, Sadat Academy For

More information

Statistical Operations: The Other Half of Good Statistical Practice

Statistical Operations: The Other Half of Good Statistical Practice Integrating science, technology and experienced implementation Statistical Operations: The Other Half of Good Statistical Practice Alan Hopkins, Ph.D. Theravance, Inc. Presented at FDA/Industry Statistics

More information

The Role of the BI Competency Center in Maximizing Organizational Performance

The Role of the BI Competency Center in Maximizing Organizational Performance The Role of the BI Competency Center in Maximizing Organizational Performance Gloria J. Miller Dr. Andreas Eckert MaxMetrics GmbH October 16, 2008 Topics The Role of the BI Competency Center Responsibilites

More information

Automate Data Integration Processes for Pharmaceutical Data Warehouse

Automate Data Integration Processes for Pharmaceutical Data Warehouse Paper AD01 Automate Data Integration Processes for Pharmaceutical Data Warehouse Sandy Lei, Johnson & Johnson Pharmaceutical Research and Development, L.L.C, Titusville, NJ Kwang-Shi Shu, Johnson & Johnson

More information

ABSTRACT INTRODUCTION THE MAPPING FILE GENERAL INFORMATION

ABSTRACT INTRODUCTION THE MAPPING FILE GENERAL INFORMATION An Excel Framework to Convert Clinical Data to CDISC SDTM Leveraging SAS Technology Ale Gicqueau, Clinovo, Sunnyvale, CA Marc Desgrousilliers, Clinovo, Sunnyvale, CA ABSTRACT CDISC SDTM data is the standard

More information

www.ducenit.com Analance Data Integration Technical Whitepaper

www.ducenit.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA

Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA Using SAS Data Integration Studio to Convert Clinical Trials Data to the CDISC SDTM Standard Barry R. Cohen, Octagon Research Solutions, Wayne, PA ABSTRACT A new industry standard for clinical trials data,

More information

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework

Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework Turnkey Hardware, Software and Cash Flow / Operational Analytics Framework With relevant, up to date cash flow and operations optimization reporting at your fingertips, you re positioned to take advantage

More information

East Asia Network Sdn Bhd

East Asia Network Sdn Bhd Course: Analyzing, Designing, and Implementing a Data Warehouse with Microsoft SQL Server 2014 Elements of this syllabus may be change to cater to the participants background & knowledge. This course describes

More information

Using The Best Tools For Your Business Intelligence Implementation

Using The Best Tools For Your Business Intelligence Implementation Using The Best Tools For Your Business Intelligence Implementation The Probing Question Why is it so hard to get data out of the Dynamics ERP? A common question among users of Microsoft Dynamics ERP systems

More information

BUSINESSOBJECTS DATA INTEGRATOR

BUSINESSOBJECTS DATA INTEGRATOR PRODUCTS BUSINESSOBJECTS DATA INTEGRATOR IT Benefits Correlate and integrate data from any source Efficiently design a bulletproof data integration process Accelerate time to market Move data in real time

More information

Clinical Data Management BPaaS Approach HCL Technologies

Clinical Data Management BPaaS Approach HCL Technologies Leading pharmaceutical companies are estimating new business models including alternative Clinical data management platforms to reduce costs, shorten timelines, and maintain quality and compliance. HCL

More information

Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software

Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP Sybase PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies

More information

Outperform Financial Objectives and Enable Regulatory Compliance

Outperform Financial Objectives and Enable Regulatory Compliance SAP Brief Analytics s from SAP SAP s for Enterprise Performance Management Objectives Outperform Financial Objectives and Enable Regulatory Compliance Drive better decisions and streamline the close-to-disclose

More information

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining

BUSINESS INTELLIGENCE. Keywords: business intelligence, architecture, concepts, dashboards, ETL, data mining BUSINESS INTELLIGENCE Bogdan Mohor Dumitrita 1 Abstract A Business Intelligence (BI)-driven approach can be very effective in implementing business transformation programs within an enterprise framework.

More information

Practical application of SAS Clinical Data Integration Server for conversion to SDTM data

Practical application of SAS Clinical Data Integration Server for conversion to SDTM data Paper DM03 Practical application of SAS Clinical Data Integration Server for conversion to SDTM data Peter Van Reusel, Business & Decision Life Sciences, Brussels, Belgium Mark Lambrecht, SAS, Tervuren,

More information

Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software

Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software SAP Technology Enabling Better Business Intelligence and Information Architecture With SAP PowerDesigner Software Table of Contents 4 Seeing the Big Picture with a 360-Degree View Gaining Efficiencies

More information

DATA VALIDATION AND CLEANSING

DATA VALIDATION AND CLEANSING AP12 Data Warehouse Implementation: Where We Are 1 Year Later Evangeline Collado, University of Central Florida, Orlando, FL Linda S. Sullivan, University of Central Florida, Orlando, FL ABSTRACT There

More information

ORACLE OLAP. Oracle OLAP is embedded in the Oracle Database kernel and runs in the same database process

ORACLE OLAP. Oracle OLAP is embedded in the Oracle Database kernel and runs in the same database process ORACLE OLAP KEY FEATURES AND BENEFITS FAST ANSWERS TO TOUGH QUESTIONS EASILY KEY FEATURES & BENEFITS World class analytic engine Superior query performance Simple SQL access to advanced analytics Enhanced

More information

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 29-1

Copyright 2007 Ramez Elmasri and Shamkant B. Navathe. Slide 29-1 Slide 29-1 Chapter 29 Overview of Data Warehousing and OLAP Chapter 29 Outline Purpose of Data Warehousing Introduction, Definitions, and Terminology Comparison with Traditional Databases Characteristics

More information

www.sryas.com Analance Data Integration Technical Whitepaper

www.sryas.com Analance Data Integration Technical Whitepaper Analance Data Integration Technical Whitepaper Executive Summary Business Intelligence is a thriving discipline in the marvelous era of computing in which we live. It s the process of analyzing and exploring

More information

Implementing Data Models and Reports with Microsoft SQL Server

Implementing Data Models and Reports with Microsoft SQL Server Course 20466C: Implementing Data Models and Reports with Microsoft SQL Server Course Details Course Outline Module 1: Introduction to Business Intelligence and Data Modeling As a SQL Server database professional,

More information

Business Intelligence: Using Data for More Than Analytics

Business Intelligence: Using Data for More Than Analytics Business Intelligence: Using Data for More Than Analytics Session 672 Session Overview Business Intelligence: Using Data for More Than Analytics What is Business Intelligence? Business Intelligence Solution

More information

Bringing Order to Your Clinical Data Making it Manageable and Meaningful

Bringing Order to Your Clinical Data Making it Manageable and Meaningful CLINICAL DATA MANAGEMENT Bringing Order to Your Clinical Data Making it Manageable and Meaningful eclinicalsol.com DATA IS SIMPLY BEAUTIFUL DATA STACKS IN STANDARD FORMATION This imaginative visual suggests

More information

INFORMATION TECHNOLOGY STANDARD

INFORMATION TECHNOLOGY STANDARD COMMONWEALTH OF PENNSYLVANIA DEPARTMENT OF PUBLIC WELFARE INFORMATION TECHNOLOGY STANDARD Name Of Standard: Data Warehouse Standards Domain: Enterprise Knowledge Management Number: Category: STD-EKMS001

More information

USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE

USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE USE CDISC SDTM AS A DATA MIDDLE-TIER TO STREAMLINE YOUR SAS INFRASTRUCTURE Kalyani Chilukuri, Clinovo, Sunnyvale CA WUSS 2011 Annual Conference October 2011 TABLE OF CONTENTS 1. ABSTRACT... 3 2. INTRODUCTION...

More information

Business Intelligence

Business Intelligence 1 3 Business Intelligence Support Services Service Definition BUSINESS INTELLIGENCE SUPPORT SERVICES Service Description The Business Intelligence Support Services are part of the Cognizant Information

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server Course Code: M20463 Vendor: Microsoft Course Overview Duration: 5 RRP: 2,025 Implementing a Data Warehouse with Microsoft SQL Server Overview This course describes how to implement a data warehouse platform

More information

Business Intelligence & Product Analytics

Business Intelligence & Product Analytics 2010 International Conference Business Intelligence & Product Analytics Rob McAveney www. 300 Brickstone Square Suite 904 Andover, MA 01810 [978] 691 8900 www. Copyright 2010 Aras All Rights Reserved.

More information

QlikView Business Discovery Platform. Algol Consulting Srl

QlikView Business Discovery Platform. Algol Consulting Srl QlikView Business Discovery Platform Algol Consulting Srl Business Discovery Applications Application vs. Platform Application Designed to help people perform an activity Platform Provides infrastructure

More information

CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University

CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University CONCEPTUALIZING BUSINESS INTELLIGENCE ARCHITECTURE MOHAMMAD SHARIAT, Florida A&M University ROSCOE HIGHTOWER, JR., Florida A&M University Given today s business environment, at times a corporate executive

More information

Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment

Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment Business Analytics Clinical Utilizing the SAS Business Intelligence Platform in a Clinical Trial Environment Brian Varney & Mindy Kiss, Experis IT Portage, Michigan An Experis IT Technical Brief Abstract

More information

Jet Enterprise Frequently Asked Questions Pg. 1 03/18/2011 JEFAQ - 02/13/2013 - Copyright 2013 - Jet Reports International, Inc.

Jet Enterprise Frequently Asked Questions Pg. 1 03/18/2011 JEFAQ - 02/13/2013 - Copyright 2013 - Jet Reports International, Inc. Pg. 1 03/18/2011 JEFAQ - 02/13/2013 - Copyright 2013 - Jet Reports International, Inc. Regarding Jet Enterprise What are the software requirements for Jet Enterprise? The following components must be installed

More information

COURSE 20463C: IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER

COURSE 20463C: IMPLEMENTING A DATA WAREHOUSE WITH MICROSOFT SQL SERVER Page 1 of 8 ABOUT THIS COURSE This 5 day course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL Server

More information

Course: SAS BI(business intelligence) and DI(Data integration)training - Training Duration: 30 + Days. Take Away:

Course: SAS BI(business intelligence) and DI(Data integration)training - Training Duration: 30 + Days. Take Away: Course: SAS BI(business intelligence) and DI(Data integration)training - Training Duration: 30 + Days Take Away: Class notes and Books, Data warehousing concept Assignments for practice Interview questions,

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server Page 1 of 7 Overview This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse with Microsoft SQL 2014, implement ETL

More information

Course Outline. Module 1: Introduction to Data Warehousing

Course Outline. Module 1: Introduction to Data Warehousing Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components of a data warehousing solution and the highlevel considerations you must take into account

More information

Buyer s Guide to Big Data Integration

Buyer s Guide to Big Data Integration SEPTEMBER 2013 Buyer s Guide to Big Data Integration Sponsored by Contents Introduction 1 Challenges of Big Data Integration: New and Old 1 What You Need for Big Data Integration 3 Preferred Technology

More information

BUILDING BLOCKS OF DATAWAREHOUSE. G.Lakshmi Priya & Razia Sultana.A Assistant Professor/IT

BUILDING BLOCKS OF DATAWAREHOUSE. G.Lakshmi Priya & Razia Sultana.A Assistant Professor/IT BUILDING BLOCKS OF DATAWAREHOUSE G.Lakshmi Priya & Razia Sultana.A Assistant Professor/IT 1 Data Warehouse Subject Oriented Organized around major subjects, such as customer, product, sales. Focusing on

More information

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise

Common Situations. Departments choosing best in class solutions for their specific needs. Lack of coordinated BI strategy across the enterprise Common Situations Lack of coordinated BI strategy across the enterprise Departments choosing best in class solutions for their specific needs Acquisitions of companies using different BI tools 2 3-5 BI

More information

Contents. Introduction... 1

Contents. Introduction... 1 Managed SQL Server 2005 Deployments with CA ERwin Data Modeler and Microsoft Visual Studio Team Edition for Database Professionals Helping to Develop, Model, and Maintain Complex Database Architectures

More information

SAS Drug Development User Connections Conference 23-24Jan08

SAS Drug Development User Connections Conference 23-24Jan08 SAS Drug Development User Connections Conference 23-24Jan08 Bernd Doetzkies David Ramage Daiichi Sankyo Pharma Development DSPD Clinical Data Repository System Business Drivers System Overview People and

More information

Needs, Providing Solutions

Needs, Providing Solutions Identifying Needs, Providing Solutions 1 I n d u s t r y The growth of medical research and the countless innovations coming from the pharmaceutical, biotechnology and medical device industry, has improved

More information

Oracle Warehouse Builder 10g

Oracle Warehouse Builder 10g Oracle Warehouse Builder 10g Architectural White paper February 2004 Table of contents INTRODUCTION... 3 OVERVIEW... 4 THE DESIGN COMPONENT... 4 THE RUNTIME COMPONENT... 5 THE DESIGN ARCHITECTURE... 6

More information

Data warehouse and Business Intelligence Collateral

Data warehouse and Business Intelligence Collateral Data warehouse and Business Intelligence Collateral Page 1 of 12 DATA WAREHOUSE AND BUSINESS INTELLIGENCE COLLATERAL Brains for the corporate brawn: In the current scenario of the business world, the competition

More information

Electronic Submission of Regulatory Information, and Creating an Electronic Platform for Enhanced Information Management

Electronic Submission of Regulatory Information, and Creating an Electronic Platform for Enhanced Information Management Written Notice of Participation by the Clinical Data Interchange Standards Consortium (CDISC) and Written Statement for Discussion Topics to be Addressed In the FDA Public Hearing: Electronic Submission

More information

Microsoft 20466 - Implementing Data Models and Reports with Microsoft SQL Server

Microsoft 20466 - Implementing Data Models and Reports with Microsoft SQL Server 1800 ULEARN (853 276) www.ddls.com.au Microsoft 20466 - Implementing Data Models and Reports with Microsoft SQL Server Length 5 days Price $4070.00 (inc GST) Version C Overview The focus of this five-day

More information

Implementing Data Models and Reports with Microsoft SQL Server 2012

Implementing Data Models and Reports with Microsoft SQL Server 2012 10778 - Implementing Data Models and Reports with Microsoft SQL Server 2012 Duration: 5 days Course Price: $2,695 Software Assurance Eligible Course Description 10778 - Implementing Data Models and Reports

More information

RRF Reply Reporting Framework

RRF Reply Reporting Framework RRF Reply Reporting Framework Introduction The increase in the services provided in the telco market requires to carry out short and long-term analyses aimed at monitoring the use of resources and timely

More information

Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5 Days

Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5 Days Lincoln Land Community College Capital City Training Center 130 West Mason Springfield, IL 62702 217-782-7436 www.llcc.edu/cctc Implementing Data Models and Reports with Microsoft SQL Server 20466C; 5

More information

Integrated Clinical Data with Oracle Life Sciences Applications. An Oracle White Paper October 2006

Integrated Clinical Data with Oracle Life Sciences Applications. An Oracle White Paper October 2006 Integrated Clinical Data with Oracle Life Sciences Applications An Oracle White Paper October 2006 Integrated Clinical Data with Oracle Life Sciences Applications EXECUTIVE OVERVIEW Even the largest pharmaceutical

More information

Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012

Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012 CÔNG TY CỔ PHẦN TRƯỜNG CNTT TÂN ĐỨC TAN DUC INFORMATION TECHNOLOGY SCHOOL JSC LEARN MORE WITH LESS! Course 10777: Beta: Implementing a Data Warehouse with Microsoft SQL Server 2012 Length: 5 Days Audience:

More information

OLAP Theory-English version

OLAP Theory-English version OLAP Theory-English version On-Line Analytical processing (Business Intelligence) [Ing.J.Skorkovský,CSc.] Department of corporate economy Agenda The Market Why OLAP (On-Line-Analytic-Processing Introduction

More information

Implementing a Data Warehouse with Microsoft SQL Server 2012

Implementing a Data Warehouse with Microsoft SQL Server 2012 Course 10777A: Implementing a Data Warehouse with Microsoft SQL Server 2012 Course Details Course Outline Module 1: Introduction to Data Warehousing This module provides an introduction to the key components

More information

The Ultimate Guide to Buying Business Analytics

The Ultimate Guide to Buying Business Analytics The Ultimate Guide to Buying Business Analytics How to Evaluate a BI Solution for Your Small or Medium Sized Business: What Questions to Ask and What to Look For Copyright 2012 Pentaho Corporation. Redistribution

More information

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage

Moving Large Data at a Blinding Speed for Critical Business Intelligence. A competitive advantage Moving Large Data at a Blinding Speed for Critical Business Intelligence A competitive advantage Intelligent Data In Real Time How do you detect and stop a Money Laundering transaction just about to take

More information

9.4 Intelligence. SAS Platform. Overview Second Edition. SAS Documentation

9.4 Intelligence. SAS Platform. Overview Second Edition. SAS Documentation SAS Platform Overview Second Edition 9.4 Intelligence SAS Documentation The correct bibliographic citation for this manual is as follows: SAS Institute Inc. 2016. SAS 9.4 Intelligence Platform: Overview,

More information

Effecting Data Quality Improvement through Data Virtualization

Effecting Data Quality Improvement through Data Virtualization Effecting Data Quality Improvement through Data Virtualization Prepared for Composite Software by: David Loshin Knowledge Integrity, Inc. June, 2010 2010 Knowledge Integrity, Inc. Page 1 Introduction The

More information

eclinical Services Predictable Pricing Full Service EDC Phase I-IV Sophisticated Edit Checks Drug Supply Chain Forms Library Data Collection Services

eclinical Services Predictable Pricing Full Service EDC Phase I-IV Sophisticated Edit Checks Drug Supply Chain Forms Library Data Collection Services eclinical Services Predictable Pricing Full Service EDC Phase I-IV Sophisticated Edit Checks Data Collection Services Drug Supply Chain Forms Library Real-time Data Access Clinical Data Management Electronic

More information

When to consider OLAP?

When to consider OLAP? When to consider OLAP? Author: Prakash Kewalramani Organization: Evaltech, Inc. Evaltech Research Group, Data Warehousing Practice. Date: 03/10/08 Email: erg@evaltech.com Abstract: Do you need an OLAP

More information

Implementing Data Models and Reports with Microsoft SQL Server 2012 MOC 10778

Implementing Data Models and Reports with Microsoft SQL Server 2012 MOC 10778 Implementing Data Models and Reports with Microsoft SQL Server 2012 MOC 10778 Course Outline Module 1: Introduction to Business Intelligence and Data Modeling This module provides an introduction to Business

More information

STEP BY STEP DATA TRANSFORMATION

STEP BY STEP DATA TRANSFORMATION STEP BY STEP DATA TRANSFORMATION Step-by-step explanation of what BI4Dynamics does in a process of delivering business intelligence content to End-users 1 ST. STEP: CREATING A STAGING DATABASE A staging

More information

SQL SERVER BUSINESS INTELLIGENCE (BI) - INTRODUCTION

SQL SERVER BUSINESS INTELLIGENCE (BI) - INTRODUCTION 1 SQL SERVER BUSINESS INTELLIGENCE (BI) - INTRODUCTION What is BI? Microsoft SQL Server 2008 provides a scalable Business Intelligence platform optimized for data integration, reporting, and analysis,

More information

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff

Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff Whitepaper Data Governance Roadmap for IT Executives Valeh Nazemoff The Challenge IT Executives are challenged with issues around data, compliancy, regulation and making confident decisions on their business

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server This course describes how to implement a data warehouse platform to support a BI solution. Students will learn how to create a data warehouse 2014, implement ETL with SQL Server Integration Services, and

More information

Business Value Reporting and Analytics

Business Value Reporting and Analytics IP Telephony Contact Centers Mobility Services WHITE PAPER Business Value Reporting and Analytics Avaya Operational Analyst April 2005 avaya.com Table of Contents Section 1: Introduction... 1 Section 2:

More information

datalabs edc REvolutionizing clinical data management

datalabs edc REvolutionizing clinical data management datalabs edc REvolutionizing clinical data management Since 2002, the DataLabs EDC solution has been helping many biopharmaceutical sponsors, clinical research organizations (CROs) and medical device manufacturers

More information

PharmaSUG 2016 Paper IB10

PharmaSUG 2016 Paper IB10 ABSTRACT PharmaSUG 2016 Paper IB10 Moving from Data Collection to Data Visualization and Analytics: Leveraging CDISC SDTM Standards to Support Data Marts Steve Kirby, JD, MS, Chiltern, King of Prussia,

More information

OLAP and OLTP. AMIT KUMAR BINDAL Associate Professor M M U MULLANA

OLAP and OLTP. AMIT KUMAR BINDAL Associate Professor M M U MULLANA OLAP and OLTP AMIT KUMAR BINDAL Associate Professor Databases Databases are developed on the IDEA that DATA is one of the critical materials of the Information Age Information, which is created by data,

More information

Implementing a Data Warehouse with Microsoft SQL Server

Implementing a Data Warehouse with Microsoft SQL Server 20463 - Implementing a Data Warehouse with Microsoft SQL Server Duration: 5 Days Course Price: $2,975 Software Assurance Eligible Course Description Note: This course is designed for customers who are

More information

Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data

Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data SAP Brief SAP BusinessObjects Business Intelligence s SAP BusinessObjects Design Studio Objectives Create Mobile, Compelling Dashboards with Trusted Business Warehouse Data Increase the value of data with

More information