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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.
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 outsource data entry


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

outsource data entry  , Data Scrubbing , Outsource Data Cleansing , Data Bureau Services , Data Cleansing Software , Data Transformation , Consumer Database Cleaning , Cleansing Data Warehouse , Data Cleansing Services , Data Discovery , Data Profiling , Data Analysis , Data Processing , Financials Research Data Cleaning , Master Data Management , Data Integration , Data Sets , Data Integrity , Data Cleansing Projects , After presenting a case study “Supply Chain Data- Dont let it be your weakest link!'” with Alcon

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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.

Compare Now

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 types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Sunny Malta as an Nearshore IT Outsourcing Location


Enterprises, largely based in the US, UK, Japan, and Austraila, are turning to offshoring as a way to minimize costs. The biggest offshoring region is currently India; however, the logistics and costs of outsourcing to this region has caused enterprises to look to other areas, such as Malta. Malta is a promising nearshore IT outsourcing location because of its geography, investment in IT, and capability.

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Top 10 Considerations When Changing Payroll Software


When choosing a payroll software vendor, there are numerous considerations that must be taken into account when narrowing down the choices. Obviously, you have to decide on a software that meets your needs within budget. However, it’s just as important to consider the other factors that can make a huge impact on the overall success of your payroll software selection.

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The Many Flavors of Application Software Outsourcing


Many companies are looking to outsource development and maintenance of their application software. Common reasons that companies outsource application software are to reduce their costs, improve quality, obtain flexible staffing levels, and obtain improved service and support so they can focus on their core competence such as, designing clothes, managing equity portfolios, or running hospitals. Choosing whether to outsource or not is a strategic decision for a company. Once a company has decided to outsource, however, it must still choose an outsourcing approach that best fits it needs. This paper will describe the many different options for application software outsourcing, including the advantages and disadvantages of each alternative.

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Five HR Technologies You Should Know


Almost everything you know about human resources (HR) outsourcing is about to change. The future is about single-source integration, and there are key new technologies that herald this era: unified service for HR, time, payroll, and expense tracking; management dashboards; streamlined employee interfaces; synchronous data with a single database; and empowered reporting.

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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.

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Data Blending for Dummies


Data analysts support their organization’s decision makers by providing timely key information and answers to key business questions. Data analysts strive to use the best and most complete information possible, but as data increases over time, so does the time required to identify and combine all data sources that might be relevant.

Data blending allows data analysts a way to access data from all data sources, including big data, the cloud, social media sources, third-party data providers, department data stores, in-house databases, and more, and become faster at delivering better information and results to their organizations. In the past, the challenge for data analysts has been accessing this data and cleansing and preparing the data for analysis. The access, cleansing, and preparing data stages are complex and time intensive. These days, however, software tools can help reduce the burden of data preparation, and turn data blending into an asset.

Read this e-book to understand why data blending is important, and learn how combining data means that you can get answers to your business questions and better meet your business needs. Also learn how to identify what features to look for in data blending software solutions, and how to successfully deploy these tools within your business. Data Blending for Dummies breaks the subject down into digestible sections, from understanding data blending to using data blending in the real world. Read on to discover how data blending can help your organization use its data sources to the utmost.

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Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

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Data Center Projects: Advantages of Using a Reference Design


It is no longer practical or cost-effective to completely engineer all aspects of a unique data center. Re-use of proven, documented subsystems or complete designs is a best practice for both new data centers and for upgrades to existing data centers. Adopting a well-conceived reference design can have a positive impact on both the project itself, as well as on the operation of the data center over its lifetime. Reference designs simplify and shorten the planning and implementation process and reduce downtime risks once up and running. In this paper reference designs are defined and their benefits are explained.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

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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.

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