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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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 big data analytics appliance


Teradata Launches Big Analytics Appliance
Teradata, a provider of data warehouse and analytics solutions, has released a new appliance designed specifically to manage big-data projects by integrating

big data analytics appliance  faster path from diverse big data acquisition to big insights, and seamlessly delivers these insights to the business owners. Unmatched by any other stack in the industry, it enables organizations to overcome the barriers to big data analytics and provides a high-definition view of the business to optimize operations. Users will have transparent access to Hadoop and ready-to-run analytical functions for different verticals such as social network analysis, digital marketing, and so on. And it is designed

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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 » big data analytics appliance

Massive Data Requires Massive Measures


One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

big data analytics appliance  enough to solve their big data analysis problems, they turned their attention to different and more advanced solutions that would help them improve all their analytical processes. Currently the data warehouse and “big data” data analysis spaces are changing their composition because some business software companies addressing this space are trying to reposition their market presence in the field. Directly or indirectly, almost all major software companies made expensive adjustments during the last Read More

Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

big data analytics appliance  mailing lists ' a big boon when per-piece production and shipping costs often exceed US$1.00. Master data management also enables product content management, which involves the requirements of rich product content management and cross-media catalog publishing. By leveraging product content management, you can consolidate, centrally manage, and publish disparate product data across your enterprise and among trading partners. With master data management, you can reduce marketing execution costs by flowing 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

big data analytics appliance  to face in doing big data management and analysis? Hadoop seems to becoming the de facto technology for “Big Data” processing. While the advantages may be clear (no license fees, open source, etc.), the barriers to entry can be large. Organizations considering Hadoop must realize that to implement a Hadoop environment and maintain its operation calls for a considerable engineering skill set and resource. Despite the need for this large engineering investment, many organizations are still willing to Read More

One Offering to Watch Unfold in 2012: UNIT4 Business Analytics Apps


For me, the third week of December 2011 was a week of revelations of sorts in the realm of enterprise applications. Amid all the IT punditry/buzzword talk throughout the year about cloud computing, analytics, mobility, social, and in-memory, there were two concrete announcements in mid-December from two vendors that gave me pause. Both vendor product announcements are still far away from their

big data analytics appliance  if instead of traditional big investment, high risk, complex, and slow-poking enterprise-wide BI packages users could simply discover and download appetizing tapas (or sushi, if you prefer)--like simple and fast applications that present small investment and low risk? The range of prices that we are talking about here is often within the purchasing power of mid-level managers. In other words, an LoB user might even be able to authorize the request herself/himself, without bothering the C-level executives Read More

Business Basics: Unscrubbed Data Is Poisonous Data


Most business software system changes falter--if not fail--because of only a few root causes. Data quality is one of these root causes. The cost of high data quality is low, and the short- and long-term benefits are great.

big data analytics appliance  Basics: Unscrubbed Data Is Poisonous Data Introduction A manufacturing company experienced continually increasing overhead costs in its purchasing and materials departments. It also began to see increased inventory levels and production line delays. A consulting firm was brought in to analyze the company's materials management processes and the level of competence of its materials and procurement staff. After mapping the entire process, from the creation of a bill of materials through post-sales Read More

The Path to Healthy Data Governance


Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

big data analytics appliance  and plan carefully.  Think big, but start small. These steps will ensure 100 percent support from all levels of leadership and stakeholders. Note that the careful planning and charting of your program can be definitive in augmenting its chance of success. By addressing a set of small problems first, you can more reliably gauge the scope of your program.  A Final Word I concur with the view of Data Management International —that the needs of business drive the needs for information; together they Read More

Data Quality Strategy: A Step-by-Step Approach


To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

big data analytics appliance  Quality Strategy: A Step-by-Step Approach To realize the benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it and how to keep it clean. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Read More

Create an Intelligent Analytics Strategy for Your Organization


A good business analytics strategy can pay off. Learn how to grow and transform your organization with analytics and business intelligence (BI) in this newsletter, featuring new research from Gartner.

big data analytics appliance  business analytics,business performance management,BI and analytics,business analytics strategy,analytics for midsize businesses,IBM,IBM Cognos 10 BI,Business analytics processes Read More

Big Machines for Big Problems? Not Necessarily.


GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development.

big data analytics appliance  Machines for Big Problems? Not Necessarily. GeoEye is the leading provider of map-accurate commercial imagery to the US military and intelligence community. In the past, GeoEye lived by the motto that “big problems require big machines.” However, this was presenting the company with significant—and escalating—cost and complexity issues. The solution: a self-managing and self-healing distributed computing environment that required no custom application development. Read More

Next-generation Data Auditing for Data Breach Protection and Risk Mitigation


Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system.

big data analytics appliance  generation Data Auditing for Data Breach Protection and Risk Mitigation Data breaches and leaks are on the rise—and the consequences, from theft of identity or intellectual property, can seriously compromise a company’s reputation. Stolen laptops, hacking, exposed e-mail, insider theft, and other causes of data loss can plague your company. How can you detect (and respond!) to breaches and protect your data center? Learn about the functions and benefits of an automated data auditing system. Read More

Dashboard & Analytics


OMI Dashboard & Analytics Solution offers best practice talent management measurement practices, along with a new generation of views, insights, and metrics. Clients are able to create custom dashboards for key stakeholders, trend metrics over time, and gain the insight they need to make better talent decisions. OMI provides innovative sets of measures and analytics to look at employee contribution, including performance, engagement while reporting on costs, and investments allocated to people initiatives and resources.  

big data analytics appliance   Read More

Metagenix Reverse Engineers Data Into Information


Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries of the existing legacy systems (which are often incorrect). Other unique Metagenix approaches include an "open book" policy, which includes publishing product price lists on their web site and complete access to company officials, including CEO and President Greg Leman. According to Mr. Leman, "we’re pathologically honest".

big data analytics appliance  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More

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.

big data analytics appliance  easier. If not, no big deal, you just need to be aware that you will have some overhead for some behind the scenes technical tasks that are required in the process. Dirty data manifests itself in many different anomalies, below are just a few: Discrepancies in the structure of the data items and specified format Irregularities Integrity constraint violations Contradictions Duplicates Invalid Missing values (part or whole records) Orphaned data Examples of data anomalies: Multiple addresses for IBM Same Read More

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.

big data analytics appliance  Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware Read More