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Documents related to » sap data model


Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to Four Critical Success Factors to Cleansing Data. Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

SAP DATA MODEL: Four Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data Source: PM ATLAS Business Group, LLC Document Type: White Paper Description: Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology. Four Critical Success Factors to
1/14/2006 9:29:00 AM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for Achieving a Successful Data Migration. The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

SAP DATA MODEL: as additional migrations to SAP and data warehousing. Leverage an Iterative, Flexible Project Management Methodology A data migration process is often doomed from the outset by one flawed assumption that migration is a one-time event that follows a sequential waterfall process of examining source data, examining the target, designing the transforms, and then building, testing, and executing the code. Because the source and target are never what they are expected to be, this sequential process leads to
10/27/2006 4:30:00 PM

Meeting the Challenges of Product Traceability with Automated Data Collection
With a minimum of effort, learn all about Meeting the Challenges of Product Traceability with Automated Data Collection.Download our Free whitepaper and find the Software Information You're Looking for. An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at inspection, at assembly, at shipping? Explore the many facets of meeting product traceability challenges using automated data collection.

SAP DATA MODEL: Meeting the Challenges of Product Traceability with Automated Data Collection Meeting the Challenges of Product Traceability with Automated Data Collection Source: Radley Corporation Document Type: White Paper Description: An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at
7/21/2009 12:59:00 PM

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

SAP DATA MODEL: IQ Sybase , an SAP company Vectorwise Actian (formerly Ingres) Vertica Advanced In-Database Analytics Vertica , an HP company WX2 Kognitio Big data has had a rapid uptake by traditional BI vendors. Some of them offer connectors to big data applications in order to be able to analyze the data. A few of these vendors are Pentaho , Tableau Software , Endeca (acquired by Oracle), Jaspersoft , and MicroStrategy . Getting Started Here’s a summary of some basic things to take into account when selecting a big
11/18/2011 2:08:00 PM

Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

SAP DATA MODEL: Guide for Marketing Source: SAP Document Type: White Paper Description: Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Data
3/16/2011 1:15:00 PM

Enabling Growth through Business Model Innovation
Organizations increasingly see business model innovation—not new products and services—as the basis of their competitive advantage. Common approaches to innovation include improvements to customer experience and supply chain management, and implementation of a service-oriented architecture (SOA). Learn how these innovations can help create new opportunities for companies and their customers, partners, and suppliers.

SAP DATA MODEL: Business Model Innovation Source: SAP Document Type: White Paper Description: Organizations increasingly see business model innovation—not new products and services—as the basis of their competitive advantage. Common approaches to innovation include improvements to customer experience and supply chain management, and implementation of a service-oriented architecture (SOA). Learn how these innovations can help create new opportunities for companies and their customers, partners, and suppliers.
9/29/2008 2:45:00 PM

Enabling Growth Through Business Model Innovation
As organizations seek to grow beyond their current markets and activities, executives look beyond the existing business model to expand their business. This paper looks at most common areas of business model innovation, describes how organizations are leveraging innovation in different parts of their business, and shows how to implement a solid and adaptive foundation that is flexible enough to support rapid innovation.

SAP DATA MODEL: Business Model Innovation Source: SAP Document Type: White Paper Description: As organizations seek to grow beyond their current markets and activities, executives look beyond the existing business model to expand their business. This paper looks at most common areas of business model innovation, describes how organizations are leveraging innovation in different parts of their business, and shows how to implement a solid and adaptive foundation that is flexible enough to support rapid innovation.
1/14/2011 3:58:00 PM

The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

SAP DATA MODEL: Data: Trends, Strategies, and SAP Technology Achieving a Successful Data Migration Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
8/8/2013 5:27:00 PM

Data Storage in the Cloud—Can you Afford Not To?
Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or avoided by using the cloud for backup and archive storage.

SAP DATA MODEL: Data Storage in the Cloud—Can you Afford Not To? Data Storage in the Cloud—Can you Afford Not To? Source: Riverbed Technology Document Type: White Paper Description: Storing data in the cloud using Riverbed Technology’s Whitewater cloud storage gateway overcomes a serious challenge for IT departments: how to manage the vast, and ever-growing, amount of data that must be protected. This paper makes the business case for cloud storage, outlining where capital and operational costs can be eliminated or
7/12/2011 2:19:00 PM

Data Quality Trends and Adoptions


SAP DATA MODEL: Data Quality Trends and Adoptions Data Quality Trends and Adoptions In today s highly competitive and volatile business climate, data quality (DQ) software is no longer perceived as a nice-to-have. As business pressures increase, more and more midsized and large organizations are looking to DQ solutions to improve operational efficiencies reduce costs and risks improve customer experience and loyalty increase revenue provide data transparency and audit ability achieve greater regulatory compliance In
8/23/2011 11:02:00 AM

Jaspersoft 4 Goes Big Data » The TEC Blog
management retail SaaS salesforce.com SAP SCM Software Selection talent management Categories Ask the Experts (12) BI and Performance Management (182) Business Process Matters (67) Customer Relationship Matters (161) FOSS Ecosystem (24) From the Project Manager s Desk (32) Humor (43) Industry Observation (1140) Information Management and Collaboration (39) Inside TEC (92) Manufacturing Operations (100) Product Lifecycle Matters (81) Risk and Compliance (27) Software 101 (66) Software Selection (255)

SAP DATA MODEL: bi, Business Intelligence, cassandra, couchdb, Greenplum, hadoop, hbase, Jaspersoft, Jaspersoft 4.0, mongodb, neteeza, nosql, open source, vertica, voltdb, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
27-01-2011


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