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Discrete Manufacturing (ERP)
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...
 

 data integration projects


Global Software Integration: Why Do So Many Projects Fail?
The IT field is littered with failed global software integration sagas. The many reasons for these failures include mismatched capabilities, geographical

data integration projects  Continuous Integration Software | Data Integration Software | Database Integration Software | Embedded Software Integration | Enterprise Software Integration | Faster Software Integration | Hardware Software Integration | Open Source Integration Software | Other Software Integration | Performance Software Integration | Scalable Integration Software | Source Integration Software | System Software Integration | Third Party Software Integration | Web Software Integration | Global Access Software | Global

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Business Performance Management (BPM) RFI/RFP Template

Data Visualization, Analytics, Workflow, Data Integration, Support, System Requirements Get this template

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Discrete Manufacturing (ERP)
Discrete Manufacturing (ERP)
The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as or...

Documents related to » data integration projects

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.

data integration projects  Customer Data Integration Solution Adapts to Your Business Needs Customer data integration (CDI) has become one of the buzzwords within the master data management (MDM) industry. Although the concept of creating a single organizational view of the customer is noble and desirable, its value should also be justified by organizations. To implement a customer data hub that only creates a centralized view of an organization's customer-related data does not affect a company's bottom line, unless Read More

Serving up EAM Integration


Integrating systems has created major havoc within enterprises, and gluing together disparate mission-critical business systems from multiple vendors that were never designed to work together is definitely a cause for IT concern.

data integration projects  handle the movement of data from one system to the next in a secure and timely fashion. As business processes change or new applications are introduced, Web services ensures that they can be easily plugged in to support the business process. Conclusion SOA and Web services are poised to fundamentally change asset management. Pressured by today's reality of a retiring maintenance workforce and demand for increased productivity improvements, organizations must begin to fully utilize their EAM applications. Read More

The Importance of a Single Platform for Data Integration and Quality Management


Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help.

data integration projects  a Single Platform for Data Integration and Quality Management Rising data volume is not the only reason companies are concerned with issues of data integration and data quality. The growing numbers of disparate systems that produce and distribute data add to the complexity. But in many companies, data quality management has not kept pace with the growth of data integration projects, and its use is immature. Find out how moving toward a single data services architecture can help. Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

data integration projects  ' whereas for smaller data center expansion projects, project management may not need to start until later, after the purchase order is executed at the end of the Design phase. The size, complexity, and criticality of the project will determine when project management needs to become a structured, dedicated role. Regardless of how and when project management is configured, there will always be some project management activity in the customer organization from the very beginning, if only to make the Read More

Fundamentals of Managing the Data Center Life Cycle for Owners


Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.

data integration projects  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and o 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.

data integration projects  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

Big Data Comes of Age: Shifting to a Real-time Data Platform


New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support big data and the real-time needs of innovative companies.

data integration projects  Data Comes of Age: Shifting to a Real-time Data Platform New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose-built platforms more capable of meeting the real-time needs of more demanding end users and the opportunities presented by big data. Read this white paper to learn more about the significant strategy shifts underway to transform traditional data ecosystems by creating a unified Read More

Demystifying Data Science as a Service (DaaS)


With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white paper to find out more about how data SaaS is set to become a vital part of business intelligence and analytics, and how India will play a role in this trend.

data integration projects  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More

Backing up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices


This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information technology (IT) infrastructure.

data integration projects  up Data in the Private Cloud: Meeting the Challenges of Remote Data Protection - Requirements and Best Practices This white paper describes some of the common challenges associated with protecting data on laptops and at home and remote offices and portrays proven solutions to the challenges of protecting distributed business data by establishing a private cloud/enterprise cloud. Learn which best practices can ensure business continuity throughout an organization with a distributed information Read More

Garbage in, Garbage out: Getting Good Data out of Your BI Systems


Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems.

data integration projects  Garbage out: Getting Good Data out of Your BI Systems Garbage in, garbage out. Poor quality data leads to bad business decisions. You need high quality data in your business intelligence (BI) system to facilitate effective analysis—to make the right decisions at the right time. But how do you achieve this? Find out in Garbage In, Garbage Out: Getting Good Data Out of Your BI Systems . In this Focus Brief , you'll learn about the steps in the data delivery cycle, the problems can occur at each step, 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.

data integration projects  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. Read More

Software Integration


Most financial offices run at least three separate industry-specific software packages—often from different vendors. The problem with having all of these different solutions is that most of them require their own databases and do not integrate very well with each other. Document management systems (DMSs) are becoming popular with financial advisors, as they help organize the office and provide risk management. Learn more.

data integration projects  them require their own databases and do not integrate very well with each other. Document management systems (DMSs) are becoming popular with financial advisors, as they help organize the office and provide risk management. Learn more. Read More

Enterprise Application Integration - Where Is It Now (And What Is It Now)? Part 2: Where Is It Now?


Enterprise Application Integration has changed massively in the past two years. Where is the market, and what vendors are left in the game?

data integration projects  separate systems. Whether the data is internal, inter-divisional, customer or supplier facing is irrelevant. Vendors can give it whatever term they choose, or sub-divide it into separate applications, but to us, integration is integration. Plain and simple. IT programmers have been doing it for over 20 years. This is a two-part note on EAI trends. Part One discussed the basic components to achieve EAI. This part covers the Market Impact of the recent changes and makes User Recommendations. Market Impact Read More

Overall Approach to Data Quality ROI


Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

data integration projects  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More