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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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 gis data integration


3 Big Trends in Data Visualization
The greatest value of a picture is when it forces usto notice what we never expected to see.—John W. Tukey. Exploratory Data Analysis. 1977.Data

gis data integration  intelligence services—or have incorporated GIS into their product stack, such as SAS with SAS/GIS , have easy-to-use features for organizations to be able to benefit from this sort of functionality right from the start. Web mapping services—Services such as Google Maps and Bing Maps provide mapping visualizations and services using tools that are readily available. In a quiet but steady way, mapping and geolocation analysis is being adopted by almost all BI providers and is becoming standard.

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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

ERP for the Utilities Industry

Utilities (gas, water, electricity, and energy) software is typically built off customer billing systems encompassing a suite of modules covering fleet management, maintenance management, GIS, AMR, financials, and human resources, among others. 

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Magic Quadrant for B2B Gateway Providers


Business-to-business (B2B) gateway solutions have matured to the point where they can support a wide range of projects. However, there are still functional differences—including product maturity, service-oriented architecture (SOA) enablement, architectural coherence, and community management—among competing solutions. Find out who the leaders, challengers, visionaries, and niche players are in the B2B gateway market.

gis data integration  message onto SOA, its GIS solution still doesn t offer an SOA governance technology or a user-accessible ESB. Although Sterling Commerce still benefits from B2B mind share and market share, particularly regarding large-scale B2B consolidation projects involving high-performance EDI, its strength relative to other vendors has slipped, due to its perception as a traditional B2B vendor (partly because of its sluggish response to SOA), its inconsistent quality in account management and the sometimesonerous Read More

TEC Industry Watch: Enterprise Software News for the Week of July 23, 2012


SOFTWARE SELECTIONS @ IMPLEMENTATIONSSeaspan selects IFS Applications to support its shipbuilding projectsIndustry tags: manufacturing “Seaspan is an association of companies primarily involved in multiple sea transportation businesses. Many such activities are project-based, which is IFS’ focus. No wonder that IFS was selected to provide an ERP system for Seaspan’s shipbuilding and repair

gis data integration  other engineer-to-order ERP solutions GIS Federal chooses Deltek First GovCon Essentials Industry tags: US government contractors (GovCon) “This win is yet another proof that Deltek really has hardly any competition in this space. Deltek is differentiated by its deep GovCon functionality that hardly anyone can match combined with an easy-to-implement, easy-to-use software-as-a-service (SaaS) delivery model. The vendor is reportedly selling its Deltek First GovCon Essentials solution like gangbusters Read More

Facilities Management is Moving Forward with Technology


Information is one of the most valuable resources for facilities management departments, so it’s essential to have a process that lets you achieve full value from it, and to urge your company on from weak paper-prone processes. Facilities management systems can now integrate with other systems. Find out the points you should consider when choosing and implementing a computer-aided facilities management (CAFM) solution.

gis data integration  inefficiencies of working with GIS and CAD rapidly evolves, new opportunities emerge for facility and property managers: Expand visibility and oversight into all aspects of building operations and asset management Allocate space efficiently Prepare for emergency or preventive maintenance measures Forecast and budget for maintenance Manage & Track Assets Plan for relocations   Just there & be Prepared for more... Facility Management folks are entering an era where practically everything is converging in Read More

What’s New in the World of Design Components and Kernels?


Those folks that follow the 3D and 2D computer aided design (CAD) space are aware that all major design, manufacturing, and engineering software products are based on geometry modeling kernels and a variety of other development components. Spatial Corp., a Dassault Systèmes subsidiary, is one prominent provider of 3D development software components for technical applications across a broad range

gis data integration  from Textual input) are registered trademarks of Spatial Corp. Other brand and product names are trademarks of their respective owners. Autodesk Inventor uses ACIS as a matter of speaking, although Autodesk has bought the code to develop ShapeManager , so the company no longer depends on the commercial version of ACIS. There are also many other smaller 3D app vendors leveraging ACIS. CGM Kernel CGM (Convergence Geometric Modeler) is the core geometry and topology modeler for Dassault CATIA and SIMULIA as Read More

Data Quality Trends and Adoption


While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers.

gis data integration  Quality Trends and Adoption While much of the interest in data quality (DQ) solutions had focused on avoiding failure of data management-related initiatives, organizations now look to DQ efforts to improve operational efficiencies, reduce wasted costs, optimize critical business processes, provide data transparency, and improve customer experiences. Read what DQ purchase and usage trends across UK and US companies reveal about DQ goals and drivers. Read More

Deploying High-density Zones in a Low-density Data Center


New power and cooling technology allows for a simple and rapid deployment of self-contained high-density zones within an existing or new low-density data center. The independence of these high-density zones allows for reliable high-density equipment operation without a negative impact on existing power and cooling infrastructure—and with more electrical efficiency than conventional designs. Learn more now.

gis data integration  High-density Zones in a Low-density Data Center Deploying High-Density Zones in a Low-Density Data Center If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Together, APC’s global teams work to fulfill their mission of creating delighted customers. To do this, the Company focuses its efforts on four primary application areas: Home/Small Office; Business Networks; Data Centers and Facilities; and Access Provider Networks. Source Read More

Types of Prefabricated Modular Data Centers


Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and compares their key attributes, and provides a framework for choosing the best approach(es) based on business requirements.

gis data integration  of Prefabricated Modular Data Centers Data center systems or subsystems that are pre-assembled in a factory are often described with terms like prefabricated, containerized, modular, skid-based, pod-based, mobile, portable, self-contained, all-in-one, and more. There are, however, important distinctions between the various types of factory-built building blocks on the market. This paper proposes standard terminology for categorizing the types of prefabricated modular data centers, defines and Read More

Enterprise Data Management: Migration without Migraines


Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more.

gis data integration  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More

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.

gis data integration  Master Identity uses a registry-style approach to match and link records from different systems across the organization to create a golden record. This record creates references based on attributes such as customer number, a combination of phone number and name, and other unique identifiers to link the various records across the organization, creating a central reference area to pool data. The registry stores data that can be cross-referenced back to the source systems. This hub style may be accessed Read More

Curing the Data Integration Migraine


The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery.

gis data integration  the Data Integration Migraine The potential value of centralized data integration is enormous. Once implemented, integration systems promise to deliver more accurate and higher quality data. However, for those who venture into the world of implementation, the promise rarely matches the reality. Avoiding the “data integration migraine” requires careful planning to reduce the risks associated with data relationship, transformation, and map discovery. Read More

Transactional Data: Driving Real-Time Business


A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more.

gis data integration  Data: Driving Real-Time Business A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More

Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio


Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the

gis data integration  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the emergen Read More

10 Errors to Avoid When Building a Data Center


In the white paper ten errors to avoid when commissioning a data center, find out which mistakes to avoid when you're going through the data center...

gis data integration  Errors to Avoid When Building a Data Center Proper data center commissioning can help ensure the success of your data center design and build project. But it's also a process that can go wrong in a number of different ways. In the white paper Ten Errors to Avoid when Commissioning a Data Center , find out which mistakes to avoid when you're going through the data center commissioning process. From bringing in the commissioning agent too late into the process, to not identifying clear roles for 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.

gis data integration  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