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Software Functionality Revealed in Detail
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 centralized data integration


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

centralized data integration  touch points into one centralized data source using an SOA. Using a combination of data quality and identity management technology, the DataFlux CDI Solution creates a master data reference file to consolidate information, and then feed those records and update information within a database or application as needed. Data problems are inspected and analyzed before being migrated to the CDI repository. Also, the results of the analysis are used to build targeted data quality routines to correct, standardize

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Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

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Business Performance Management (BPM) RFI/RFP Template

Data Visualization, Analytics, Workflow, Data Integration, Support, System Requirements 

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Documents related to » centralized data integration

Precision Software Achieves Oracle Validated Integration


Ongoing mergers in the enterprise applications continue to make strange bedfellows of fierce competitors. Most recently, Precision Software, a transportation and global trade management (GTM) division of QAD and a Gold level member of the Oracle Partner Network (OPN), announced that it has achieved Oracle Validated Integration of Precision Software Transportation Management System (TMS) Parcel

centralized data integration  shipments. It also provides centralized control and visibility throughout the shipment execution process, as users can rate, route, produce labels, manifest, and manage levels of service for any mode of shipment from a single place. The offering also allows customers to complete the entire shipment lifecycle by auditing freight invoices against rated shipments and ultimately having all the data regarding a shipment’s footprint for reporting, analysis, and tracking purposes. Precision TMS now offers a co Read More

Integrating All Information Assets Part Three: What Constitutes Integration?


So, whether the need for integration arises from the proliferation of business applications within your own enterprise, the results of mergers and acquisitions, or from the demands of e-business, integration emerges as a significant challenge in responding to the demands of business today. What then constitutes integration and how do you go about meeting these challenges? This is an excerpt from the book ERP Optimization (Subtitle: Using Your Existing System to Support Profitable E-Business Initiatives).

centralized data integration  logic. For example, our centralized order entry function, which has access to multiple sources for inventory, may need to apply certain logic to determine the priority sequence of locations from which to pull inventory. Do you always ship from the closest warehouse? Do you always ship from a certain location unless there is no availability? If so, how do you select the alternate location? These examples require more than simple sharing of data. They require the logic that applies business rules, decisions Read More

Curing the Data Integration Migraine


The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery.

centralized data integration  The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery. 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 company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

centralized data integration  through the use of centralized data warehouses, the integration of data cleansing software, and the use of third-party data with the enterprise application. Overall, some of the available techniques are Data-validating process rules Centralized database Data cleansing technology Data scrubbing Data scrubbing is the process of fixing or eliminating individual pieces of data that are incorrect, incomplete or duplicated before the data is passed to a data warehouse or another application. The aim of data scr Read More

Flexible Customer Data Integration Solution Adapts to Your Business Needs


Siperian's master data management and customer data integration (CDI) solutions allow organizations to consolidate, manage, and customize customer-related data. The type of CDI hub implemented depends on the CDI environment's maturity, requirements, and alignment with an organization's internal processes.

centralized data integration  enable organizations to develop centralized customer data management structures, and to contribute to the ongoing data quality activities required to ensure successful CDI initiatives. Different hub styles, coupled with vendor product offerings, provide organizations with the ability to build and structure their customer information to enhance the customer experience, and to supply employees with the right information when they need it. Siperian offers three products with differing architectural styles, Read More

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

centralized data integration  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and 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 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.

centralized data integration  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

Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses


To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available when you need them.

centralized data integration  Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if managing IT is not your core competence, what are your options? A managed service provider (MSP) can help. Learn about the benefits of outsourcing data center management, and make sure your crucial business applications are always available 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 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 and a discussion of the results.

centralized data integration  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

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

centralized data integration  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More

The eG Integration Console


While many monitoring frameworks support commercial applications and application infrastructures, very few offer organizations the capacity to manage the custom application components that are inevitably a part of their infrastructure. But as these applications tend to be the most critical components of the target infrastructure, a framework that cannot provide insight into these ultra-critical components is offering severely limited value.

centralized data integration   Read More

10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

centralized data integration  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for Read More

Data Management and Analysis


From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As).

For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users to data professionals—must have the most accurate data tools and systems in place to efficiently carry out their daily tasks. Data generation development, data quality, document and content management, and data security management are all examples of data-related functions that provide information in a logical and precise manner.

centralized data integration  Management and Analysis From a business perspective, the role of data management and analysis is crucial. It is not only a resource for gathering new stores of static information; it is also a resource for acquiring knowledge and supporting the decisions companies need to make in all aspects of economic ventures, including mergers and acquisitions (M&As). For organizational growth, all requirements and opportunities must be accurately communicated throughout the value chain. All users—from end users Read More