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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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 we analyzed data


About Big Data
There may not be a consensus with respect to just how big

we analyzed data  of handling big data. We can distinguish two major categories in the big data space. Big data management systems are for administering big data volumes. Big Data File and Database Management Systems Product Vendor Commercial Provider of Related Products Aster Database Aster Data (acquired by Teradata ) Ayrris Appistry Cassandra Apache Software Foundation (open source) DataStax Hadoop Apache Software Foundation (open source) Cloudera , Hortonworks , MapR , Microsoft Big Data , IBM InfoSphere BigInsights

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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

Business Intelligence (BI) and Data Management

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Documents related to » we analyzed data

Asset Data for Accurate Lifecycle Management


Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes. This is why the development of effective maintenance policies is generally the foremost consideration for modern asset managers.

we analyzed data  Consideration of Maintenance Managers We began this paper discussing the three key drivers of maintenance that EAM systems often target. Without considering the different operating environments of different companies, these do cover the basic drivers of most maintenance departments: to develop a maintenance policy designed to minimize the total cost of managing and operating the assets throughout its entire life cycle for a given level of performance and risk. to obtain maximum efficiency out of the Read More

Leveraging Technology to Maintain a Competitive Edge During Tough Economic Times--A Panel Discussion Analyzed Part Four: RFID Software Issues


Logically, radio frequency identification (RFID) deployment will be a far cry from a minor development project that can be completed in a few months or weeks. It will take months and years to assess how RFID will affect manufacturing and shipping operations and IT systems. It will take time to bring software up to a pilot stage, and after that, years of fine-tuning and IT system development will be needed to fully realize the gains in operational efficiency that the technology promises.

we analyzed data  preparation for the event, we polled the thoughts and opinions of our experts and contributors: Olin Thompson, Jim Brown, Joseph Strub, Kevin Ramesan, and Lou Talarico, given they were unable to attend the event in person. Below are the questions and consolidated thoughts and answers that transpired from the panel discussion. We also took the liberty to expand with a few pertinent questions and thoughts that were not discussed at the panel per se (due to the time limit), but transpired from many other Read More

How Bar Codes Can Optimize Data Recording and Information Analysis


Bar code technology allows users to analyze information to develop more accurate maintenance, personnel, and financial planning. In particular it can hasten the data recording processes in a maintenance system, as seen in its use in the aircraft maintenance process.

we analyzed data  technology in maintenance processes, we must first understand that it is a form of automatic data collection. In the case of aircraft maintenance, it can produce a series of records that provide important information about the maintenance process. This information must be analyzed and duly interpreted to fully understand the process' potential. This article will explore all the benefits of using code bar technology in the aircraft maintenance process. What types of companies can implement bar code Read More

Role of In-memory Analytics in Big Data Analysis


Organizations today need to handle and manage increasingly large volumes of data in various formats and coming from disparate sources. Though the benefits to be gained from analysis of such big data are immense, so are the inherent challenges, including need for rapid analysis. In his article, TEC BI analyst Jorge García discusses how in-memory analytics helps address these challenges and reap the benefits hidden in big data.

we analyzed data  technology space. But first we need to understand the basics.   A Basic Framework What does it mean to have an in-memory technology in place? It means that all the data in a computer is stored within a computer’s random access memory (RAM), rather than in the hard (physical) disks. The storage of data in-memory improves its management in the following ways: By using a semiconductor storage media, as opposed to using physical disk storing, the data is read and processed much faster. By minimizing or Read More

Linked Enterprise Data: Data at the heart of the company


The data silos of today's business information systems (IS) applications, and the pressure from the current economic climate, globalization, and the Internet make it critical for companies to learn how to manage and extract value from their data. Linked enterprise data (LED) combines the benefits of business intelligence (BI), master data management (MDM), service-oriented architecture (SOA), and search engines to create links among existing data, break down data walls, provide an open, secure, and long-term technological environment, and reduce complexity—read this white paper to find out how.

we analyzed data  data silo,business information systems,linked enterprise data,LED,business intelligence,BI,master data management,MDM,service-oriented architecture,SOA,search engines,Antidot,Antidot white paper,semantic web Read More

The Evolution of a Real-time Data Warehouse


Real-time data warehouses are common in some organizations. This article reviews the basic concepts of a real-time data warehouse and it will help you determine if your organization needs this type of IT solution.

we analyzed data  non-volatile data is what we can call a data warehouse. This data is used to support the decision-making process of an organization's management team. A data warehouse is used to integrate all of an organization's historical data, and has the ability to store snapshots of its transactions. All information generated from the operational data source is extracted, cleansed, transformed, and loaded into the data warehouse. Once in the data warehouse, the data can be subject to a wide range of analysis and Read More

Data Evolution: Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox


Today’s organizations have incredible amounts of information to be managed, and in many cases it is quickly spiraling out of control. To address the emerging issues around managing, governing, and using data, organizations have been acquiring quite a toolbox of data integration tools and technologies. One of the core drivers for these tools and technologies has been the ever-evolving world of the data warehouse.

we analyzed data  data warehouse, data integration tools, data integration toolbox, big data management, data exploration tools, master data management, data management platform Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

we analyzed data   Read More

Optimizing Gross Margin over Continously Cleansed Data


Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

we analyzed data  know that the difference between building a thriving business -and facing extinction - is the ability to constantly monitor and reduce costs. Supply-chain professionals spend billions of dollars annually to increase productivity and reduce costs to maintain or increase the bottom line AND provide a competitive advantage. “Pricing Management solutions are one of the most carefully guarded secrets of today’s companies. Do not wait for competitors to adopt first…In each vertical market that has Read More

A Definition of Data Warehousing


There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an extremely high price tag, but the return on investment can be substantial. Over 95% of the Fortune 1000 have a data warehouse initiative underway in some form.

we analyzed data  almost ten years later. However, a single-subject data warehouse is typically referred to as a data mart, while data warehouses are generally enterprise in scope. Also, data warehouses can be volatile. Due to the large amount of storage required for a data warehouse, (multi-terabyte data warehouses are not uncommon), only a certain number of periods of history are kept in the warehouse. For instance, if three years of data are decided on and loaded into the warehouse, every month the oldest month will be Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

we analyzed data  measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data 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.

we analyzed data  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. Read More

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.

we analyzed data  private cloud backup,private cloud data management,private cloud,backup software,data protection Read More