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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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 big kids winrunner


The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

big kids winrunner  Value of Big Data As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

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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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Information Management in the Big Data Environment


With the volume of data exploding and the form of data becoming more unstructured, a good analytics system is vital to help an organization do business better. The “big data” environment not only encompasses large volumes of unstructured data, it also calls for real-time analysis of data. In this white paper, Wipro’s K R Sanjiv suggests a three-tier form of architecture to manage the big data environment.

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IBM’s Big Data Strategy: Will the “Big Blue” Become the “Big Data” Company?


In a recent analyst briefing with IBM, the software and hardware provider revealed the details of its continued efforts to expand its big “big data” offerings. The three major announcements revealed by IBM are key to the company's efforts to consolidate its big data offerings and become the biggest player in the so-called big data space, but having to compete for the “big”gest piece of the pie

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Analytics: The Real-World Use of Big Data


Big data inspires new ways to transform processes, organizations, entire industries—and even society itself. Yet extensive media coverage and diverse opinions make it easy to perceive that big data is only for “big” organizations. So what is really happening? Our newest research finds that midsize organizations are just as likely to be using big data technologies to tap into existing data sources and get closer to their customers as any other company. Find out how.

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Big ERP Players Courting Government Agencies


There has been significant activity in the public sector, with all major players winning important new federal contracts for Enterprise Resource Planning (ERP). This strong government interest in ERP applications means that ERP seems to be getting some infusion from this sector at least.

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TDWI Checklist Report: Analytic Databases for Big Data


Many organizations in today's “big data” world are contemplating a replacement of their analytic databases and data warehouses to keep pace with new requirements for advanced analytics, and they are turning more and more to specialized analytic database management systems (DBMSs). Within the DBMS arena, there’s a slow trend away from practicing analytics with relational DBMSs that were originally designed for OLTP and towards analytic databases that provide computing architectures designed for complex queries, analytic algorithms, high performance, and terabyte-size scalability. This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data, and defines the many techniques and tool types involved.

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A Business Report on Big Data Gets Personal


Big data and personal data are converging to shape the Internet’s most surprising consumer products. They’ll predict your needs and store your memories—if you let them. Find out how.

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IBM Expands PureSystems Family to Address Big Data


With the introduction of PureData, IBM’s PureSystems family has a new way of dealing with large amounts of data with speed and intelligence to provide insights and support specific business goals. These computing offerings, called “expert integrated systems” by IBM, have built-in expertise to reduce the cost and complexity of deployment and maintenance, so customers can expect to have an IBM

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CMOs Thriving in the Age of Big Data


CRM analyst Raluca Druta interviews TEC’s marketing specialist.Recently, the task of selecting customer relationship management (CRM) software tools appears to reside in the front yard of the chief marketing officer (CMO). Is this a natural evolution of the CMO’s job responsibilities?It makes sense. The CMO is responsible for making the most of the data that passes through the CRM system. But to

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The Three "V"s of Big Data


Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines how the financial planning function is impacted by volume, velocity, and variety of data.

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CRM: Big is Not Always the Best


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