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How Biometrics in ERP Can Enable Cost Savings and Increase Operational Efficiencies
One technology that is currently flying under the radar in the manufacturing enterprise resource planning (ERP) space is biometrics. Biometric solutions aren’t

operational data store  reduce costs and improve operational efficiencies. And best of all, a company doesn’t need a huge budget to take advantage of these technologies. In this article, we’ll give you some insight into what biometric capabilities exist and how taking advantage of biometrics can help you manage and track costs in ways that only military thriller writers might think possible. Nov 2013, 9:47 pm PST, San Francisco Bay, CA: Only the brightest street lights are still shining through the fog on this November eveni Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » operational data store


Role of In-memory Analytics in Big Data Analysis
Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be

operational data store  your third-party systems, both operational and nonoperational.   One Technology, Multiple Vendors Vendors currently offer in-memory databases in the form of appliances and/or cloud-based applications. Appliances have the advantage of packaging the combination of software—i.e., the in-memory application and database—within the hardware—i.e., the server—while cloud-based in-memory solutions are associated with a low total cost of ownership (TCO) and low technical requirements for users. The table b Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

operational data store  distributed via analytical and operational activities. Oracle 's Siebel Customer Data Integration is comprised of three solutions: Universal Application Network , Data Quality , and Universal Customer Master . Oracle's Siebel Data Quality identifies duplicate customer records and provides pre-built integration to third-party data cleansing tools. Oracle's matching server functionality allows the organization to search, match, and identify duplicate customer records based on key customer attributes such as Read More...
The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding

operational data store  in their infancy. Most operational data is stored in what is referred to as an OLTP (On-Line Transaction Processing) system. These systems are specifically designed for high levels of transaction volume with many concurrent users. If the database is relational, it has probably been normalized (the process of organizing data in accordance with the rules of a relational database). If the database is non-relational, custom programs have to be written to store and retrieve data from the database. (This is o Read More...
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

operational data store  and publication to other operational systems and trading partners. In today’s business environment, clean and accurate data is an ongoing requirement for collaborating with all points of your supply chain. Ask yourself these questions: Have you ever been involved in a VMI relationship that failed or was less profitable due to lack of synchronized product data between systems? Has the launch of your website been disappointing for customers due to lack of accurate and updated product content? Have EDI pro Read More...
2013 Big Data Opportunities Survey
While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry

operational data store  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More...
Next-generation Data Auditing for Data Breach Protection and Risk Mitigation
Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation

operational data store  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

operational data store  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More...
A One-stop Event for Business Intelligence and Data Warehousing Information
The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and

operational data store  industries. For example, many operational BI efforts are driven by SCM and the need to manage day-to-day decisions from the shop floor. Data Analysis and Design A key focus of the data analysis and design theme centered on the skills needed to identify business needs and to transform those needs into data structures that are adaptable, extensible, and sustainable to the business unit. Course topics included needs analysis, specifications of business metrics, and data modeling. These topics and Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and

operational data store  Quality: Cost or Profit? Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) arena and how applications such as Interaction from Interface Software can Read More...
A Roadmap to Data Migration Success
Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources,

operational data store  Roadmap to Data Migration Success Many large business initiatives and information technology (IT) projects depend upon the successful migration of data—from a legacy source, or multiple sources, to a new target database. Effective planning and scoping can help you address the associated challenges and minimize risk for errors. This paper provides insights into what issues are unique to data migration projects and to offer advice on how to best approach them. Read More...
Sustained Growth through Operational Excellence: Spotlight on Operations
Embarking on an operational excellence strategy should not be undertaken lightly. As with most company-wide initiatives, success requires planning, commitment

operational data store  Growth through Operational Excellence: Spotlight on Operations Sustained Growth through Operational Excellence: Spotlight on Operations If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Frankfurt Stock Read More...
Understanding the PCI Data Security Standard
The payment card industry data security standard (PCI DSS) defines a comprehensive set of requirements to enhance and enforce payment account data security in a

operational data store  the PCI Data Security Standard MessageLabs Hosted Web Security and Content Filtering service operates at the Internet level, intercepting viruses, and spyware. Source : MessageLabs | Now part of Symantec Resources Related to Understanding the PCI Data Security Standard : Payment Card Industry Data Security Standard (PCI DSS) (Wikipedia) Understanding the PCI Data Security Standard Data Security is also known as : Data Security Architecture , Data Security Articles , Data Security Audit , Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

operational data store  PCI DSS Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. Learn more. Read More...
Data Quality Strategy: A Step-by-Step Approach
To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how

operational data store  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More...

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