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Data Sources



Verint Impact 360 - in concert with robust data sources and the interaction center features of SAP CRM - helps improve IC operations as well as the performance of the entire customer service delivery network.
Related to Data Sources: Call Center, Contact Management (CM), Customer Relationship Management (CRM), Help Desk and Call Management, Human Resources, Return on Investment (ROI), ROI and Success Measurement, SAP
Emergence of Multiple, Disparate Data Sources Today, multiple data sources are a fact of life for virtually every organization, large or small. Each business support application includes its own data store. The challenge is compounded when acquisitions are made.
Related to Data Sources: Business Intelligence (BI), Business Performance Management (BPM), Data Management and Analysis, Decision Making, Enterprise Management, Performance Measurement, Software Selection, Statistical Data Analysis, Technology Evaluation Centers
one or more data sources. This solution is called Total Data Quality. The Six Steps to Total Data Quality The primary goal of an MDM or Data Quality solution is to assemble data from one or more data sources.
Related to Data Sources: Data Cleansing, Data Management and Analysis, Data Quality, Server, SQL, Melissa Data
The result: fragmented GRC activities and data sources that increase costs and hinder business agility.
Related to Data Sources: Compliance Management, Compliance Management/Sarbanes-Oxley Compliance, Government and Legal, Management Practices, Regulatory and Compliance, Risk Management, Strategy, SAP
Without a holistic approach to performance management, companies may not be prepared to utilize data from SAP NetWeaver Business Warehouse with other SAP or non-SAP data sources. Issues that commonly come up are: Navigating through the inherent limitations of multiple disparate and disjointed reporting, dash boarding, planning and other tools.
Related to Data Sources: Balanced Scorecard, Budgeting, Financial Planning, and Analysis, Business Intelligence (BI), Data Management and Analysis, Data Warehouse, Decision Making, Forcasting and Planning, Product Data Management (PDM), IBM
name = TEC_WP; Managing the Tidal Wave of Data by IBM --> Email this to a friend View More Related Papers Receive White Paper Updates White Paper Description Despite the slowing economy, data growth continues due to the digitization of infrastructures, the need to keep more copies of data for longer periods, and the rapid increase in distributed data sources.
Related to Data Sources: Electronic Distribution and Storage, Emulation and Virtualization, Storage Area Network (SAN), IBM
name = TEC_WP; Tailoring Sap Data Management for Companies of All Sizes by Bahwan CyberTek Pvt Ltd --> Email this to a friend View More Related Papers Receive White Paper Updates White Paper Description The need for accurate data management such as upload or download of data between a company data sources and SAP systems is more critical than ever.
Related to Data Sources: Data Management and Analysis, Bahwan CyberTek Pvt Ltd
Learn about software-as-a-service (SaaS) BI tools designed to help non-IT people who struggle with the task of mining Microsoft Excel spreadsheets and other unstructured data sources to make sales forecasts, plan for resource utilization, or service customer accounts.
Related to Data Sources: Business Intelligence (BI), Customer Service and Support, Forecasting, Software as a Service (SaaS), SAP
name = TEC_WP; Outlooksoft Case Study: Cingular Wireless by OutlookSoft --> Email this to a friend View More Related Papers Receive White Paper Updates Case Study Description When BellSouth and SBC merged to become Cingular Wireless in 2000, four issues concerned everyone: centralizing the storage of business information; improving access to, and reporting from, performance management processes; streamlining and standardizing analysis tools; and integrating data sources with different systems
Related to Data Sources: Business Intelligence (BI), Business Performance Management (BPM), Data Management and Analysis, OutlookSoft, Management of Companies and Enterprises, Management, Scientific, and Technical Consulting Services
name = TEC_WP; Mashups and Pervasive Bi by LogiXML --> Email this to a friend View More Related Papers Receive White Paper Updates White Paper Description In the world of Web-based business intelligence (BI), mashups combine two or more data sources in a single feature.
Related to Data Sources: Business Intelligence (BI), Data Management and Analysis, Data Mining, End-User Query and Reporting, LogiXML
name = TEC_WP; Case Study: University of Wisconsin Hospital and Clinics by Active Strategy --> Email this to a friend View More Related Papers Receive White Paper Updates Case Study Description University of Wisconsin Hospital and Clinics (UWHC) had never suffered from a shortage of data sources.
Related to Data Sources: Business Intelligence (BI), Business Performance Management (BPM), Data Management and Analysis, Database Management System (DBMS), Enterprise Performance Management (EPM)/Balanced Scorecard, Health Informatics, Networking, Operating System, Performance Management, Performance Measurement, Active Strategy, Health Care and Social Assistance, Hospitals
But efforts to collect data about your organizational processes, financial situation, and business performanceand consolidate and analyze itare hampered by inconsistent data sources, problems with data quality, and a lack of clarity about how to use it.
Related to Data Sources: Business Intelligence (BI), Business Performance Management (BPM), Data Management and Analysis, Data Mining, Data Quality, Data Warehouse, SAP
The next generation of dashboards leverages technology that can not only consume proprietary data sources, but also enable web service and XML standards for a seamless "mash-up" of data from most data sources.
Related to Data Sources: Business Intelligence (BI), Data Management and Analysis, Decision Making, Enterprise Information Portal (EIP), Practices and Business Issues, SAP
" As another example, users must understand Java classes in order to use data sources, which are, like most other objects in the project, instantiations of Java classes (e.g. "org.pentaho.reporting.engine.classic.core. MetaTableModel" is a specific java interface class.) As another example, users must understand Java classes in order to use data sources, which are, like most other objects in the project, instantiations of Java classes (e.
Related to Data Sources: Business Intelligence (BI), Free and Open Source Software (FOSS), Software as a Service (SaaS), Birst
1 delivers a consistent user experience - no matter what the data sources are (see Figure 2).
Related to Data Sources: Business Intelligence (BI), Data Quality, End-User Query and Reporting, Extraction, Transformation, and Loading (ETL), Statistical Data Analysis, SAP
 
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