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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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Visit the TEC store to compare leading software solutions by funtionality, so that you can make accurate and informed software purchasing decisions.
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 three vs of big data


In-memory Computing: Lifting the Burden of Big Data
Business data is growing at an unprecedented speed, and organizations of all sizes, across all industries, have to face the challenge of scaling up their data

three vs of big data  address two of the three Vs of big data.

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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

Field Service Management (FSM)

Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter reading for industries relying heaviling on equipment. FSM workers require functionality for customer engagement management, service and asset management as well as workforce management. Since most activities in FSM take place outside of the office, mobility is a big component of the a FSM software solutions. Typically, FSM software is not used as a stand-alone solution, as it needs to integrate with Financials, ERP, CRM and EAM to ensure accurate data exchange. Even if its main purpose is to maintain and repair equipment, it can also be used to gather customer satisfaction and equipment performance feedback. To allocate human resources efficiently, workforce management is an integral part of an FSM system. 

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Documents related to » three vs of big data

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 to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

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Compaq's 8-CPU Intel Servers: the New "Big Iron"


Compaq started shipping its eight-CPU Intel servers, the ProLiant 8000 and 8500, in late August. These are the first true eight-way Intel servers to ship.

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Resurrection, Vitality And Perseverance Of Former ERP 'Goners' Part Three: Market Impact


By being back from edge of the cliff, on a comeback trail under rejuvenated management, and with pruned but also more viable product sets, these vendors have become de facto trend setters as once high-flying and almost deceased and then again rebounding mid-market ERP vendors.

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Will A Big Fish's Splash Cause Minnows' Flush Out Of The CRM Pond? Part Two: Challenges and User Recommendations


The ultimate success of Microsoft CRM will be judged by its follow-up releases. While Applix’ decision to abandon the CRM space and suddenly re-focus on BPM may be regarded as a not quite deliberate move, but rather as a sudden act of taking another plunge. Is the Applix move a harbinger of the future for smaller CRM vendors?

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Making Big Data Actionable: How Data Visualization and Other Tools Change the Game


To make big data actionable and profitable, firms must find ways to leverage their data. One option is to adopt powerful visualization tools. Through visualization, organizations can find and communicate new insights more easily. Learn how to make big data more actionable by using compelling data visualization tools and techniques.

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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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Soaring across the Regions: A View of the Impact of the Internet on Business


The Internet offers companies the opportunity to present a commercial image independent of size and location. With this and the Internet’s ability to extend a business’s reach, it is valuable to know precisely what various Internet service providers (ISPs) offer before buying. This includes evaluating service level and support capabilities and understanding how these vary throughout the United Kingdom (UK). Find out more.

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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.

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Big ERP vs. Tier 2 ERP - Is the Gap in Functionality as Big as it Appears?


Recently, we have witnessed Infor’s aggressive advertising campaign against its bigger rivals that are conjointly called “Big ERP,” where it is blaming them for inflexibility, neglecting customers’ interests, and charging enormous amounts of money for their software and service. As an alternative, Infor and its competitors offer a variety of tier 2 systems that can supposedly satisfy rigorous

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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 changing requirements, support high and variable power density, and reduce power consumption and other operating costs. Find out how row- and rack-oriented cooling architectures reduce total cost of ownership (TCO), and address the needs of next-generations data centers.

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