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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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 automated data collection in michigan


How DaimlerChrysler Gained 30 Percent in Productivity with a Time and Attendance Solution
DaimlerChrysler Research & Technology North America (DCRTNA) focuses on developing new technologies for the next generation of cars. It desperately needed an

automated data collection in michigan  needed to find an automated integrated solution that was easy for our employees to use and easier for me to manage. In addition, we were looking for a system that could be implemented with no additional software or hardware purchases. Our challenge was simply to find a cost effective way of maximizing payroll-processing time while streamlining administrative tasks. Luckily we found a provider to accomplish this goal” After reviewing several vendors, DCRTNA chose iEmployee, an Application Service

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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

Time and Attendance for the Health Care Industry

Time and attendance software collects, tracks, and reports employee hours worked through automated time clocks or other means.  

Evaluate Now

Documents related to » automated data collection in michigan

Navigating Global Trade Waters


Vastera has gradually migrated to become more of a services company than a mere enterprise software provider. Over the last few years it has grown its global trade know-how, consulting practice, and managed services division.

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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.

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In-memory Analytics: Leveraging Emerging Technologies for Business Intelligence


Traditional analytic tools run queries against a data warehouse (DW) with user queries being processed against the data stored on relatively slow hard drives. In-memory analytics leverages a significantly more efficient approach where all the data is loaded into memory. This results in dramatic improvements in query response time and end-user experience. Find out how in-memory analytics can help your organization.

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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.

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Best Practices for Managing Just-in-time (JIT) Production


Just-in-time (JIT) manufacturing “is not procrastination, but making a commitment once the scales are tipped in the favor of certainty.” How do you keep your company from falling prey to the “deer-in-the-headlights” syndrome and suffering from decision failures? In this guide, experts share their top seven best practices for deftly managing JIT manufacturing.

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Why Price Shouldn't Be the Final Factor When Investing in Manufacturing ERP Software: The Hidden Expenses Often Found in Low-cost ERP Systems


When it is time to invest in a new enterprise resource planning (ERP) system, a low entry price could be concealing an expensive total cost of ownership. Price should not be the deciding factor. Rather, best fit for your company should be the number one consideration. Download this white paper to learn more about the hidden costs.

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Microsoft Throws in the Towel in the Instant Messaging Wars


REDMOND, Wash. (Bloomberg) - Microsoft Corp., the world's largest software maker, has stopped linking its instant messaging system with America Online Inc.'s instant electronic-mail program, the companies said.

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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, 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.

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Governance from the Ground Up: Launching Your Data Governance Initiative


Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

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The Operational Data Lake: Your On Ramp to Big Data


Companies recognize the need to integrate big data into their real-time analytics and operations, but this poses a lot of technical and resource challenges. Meanwhile, those organizations that have operational data stores (ODSs) in place find that, while useful, they are expensive to scale. The ODS gives real-time visibility into operational data. While more cost-effective than a data warehouse, it uses outdated scaling technology, and performance upgrades require very specialized hardware. Plus, ODSs just can't handle the volume of data that has become a matter of fact for businesses today.

This white paper discusses the concept of the operational data lake, and its potential as an on-ramp to big data by upgrading outdated ODSs. Companies that are building a use case for big data, or those considering an upgrade to their ODS, may benefit from this stepping stone. With a Hadoop relational database management system (RDBMS), companies can expand their big data practices at their own pace.

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