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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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 contains information on data warehousing bi

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)

Business intelligence (BI) and performance management applications enable real-time, interactive access, analysis, and manipulation of mission-critical corporate information. These applications provide users with valuable insights into key operating information to quickly identify business problems and opportunities. Users are able to access and leverage vast amounts of information to analyze relationships and understand trends that ultimately support business decisions. These tools prevent the potential loss of knowledge within the enterprise that results from massive information accumulation that is not readily accessible or in a usable form. It is an umbrella term that ties together other closely related data disciplines including data mining, statistical analysis, forecasting, and decision support. 

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Data, Data Everywhere: A Special Report on Managing Information


The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

contains information on data warehousing bi  story: that the world contains an unimaginably vast amount of digital information which is getting ever vaster ever more rapidly. This makes it possible to do many things that previously could not be done: spot business trends, prevent diseases, combat crime and so on. Managed well, the data can be used to unlock new sources of economic value, provide fresh insights into science and hold governments to account. But they are also creating a host of new problems. Despite the abundance of tools to capture, Read More

Distilling Data: The Importance of Data Quality in Business Intelligence


As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence environment. This article looks at issues in data quality and how they can be addressed.

contains information on data warehousing bi  If a record that contains an address is missing the state or province, but has the city and country, the most appropriate action would be to correct the record by inferring the state or province from the other two data items, rather than terminating or ignoring the error. Data cleansing functionality has advanced considerably, and most data integration platforms offer a variety of features tailored for most business scenarios. Validation checks if every data value follows specified business rules. If, Read More

Manufacturer's Nirvana -- Real-Time Actionable Information


How many ERP vendors, including the largest ones, have natively built-in real-time production monitoring, warehousing management, time and attendance capture, and complete quality management systems?

contains information on data warehousing bi  entity, whereby each division contains its own BOMs, tools, dies, inventory, cost, supply, schedules, and production records. This allows for multiple facility or distributed manufacturing, as sales and purchasing operations can be centralized and decentralized concurrently, while forecasting, master scheduling, and MRP can function separately for each division (or across divisions) for interplant requirements. Users can view location-specific or plant-wide information, while financial statements will Read More

Are you BI Lingual or Just BI Curious?


Lost in Translation If your organization was a celebutante, who would it be? Well, comely or not, let’s hope that when it comes to BI, you’re not a bemused, glassy-eyed Scarlett Johansson à la Lost in Translation http://www.imdb.com/title/tt0335266. If so, there’s a cure and it’s not acting lessons. It’s a lesson in collaboration; ensuring that both your IT and business teams are speaking the

contains information on data warehousing bi  May 11, 2008). BI contains the promise of overall enterprise visibility and optimization; the leveraging of key data within your ERP, CRM and SCM systems, improved reporting, analysis and compliance capabilities, better collaboration, sharing, and training opportunities across the organization, and more responsive customer service. But putting BI to good use is the challenge. During my press room interviews at the TDWI World Conference in Chicago in May (next one up – TDWI’s BI Symposium in Toronto - 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.

contains information on data warehousing bi  broad field indeed, it contains technologies such as Decision Support Systems (DSS), Executive Information Systems (EIS), On-Line Analytical Processing (OLAP), Relational OLAP (ROLAP), Multi-Dimensional OLAP (MOLAP), Hybrid OLAP (HOLAP, a combination of MOLAP and ROLAP), and more. BI can be broken down into four broad fields: Multi-dimensional Analysis Tools: Tools that allow the user to look at the data from a number of different angles . These tools often use a multi-dimensional database referred to 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.

contains information on data warehousing bi  Center Projects: Project Management Data Center Projects: Project Management 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 damage: power problems and temperature. As a global leader in Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

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Top 10 Evaluation Criteria for Copy Data Management & Data Virtualization


Data virtualization is becoming more important, as industry-leading companies learn that it delivers accelerated IT projects at a reduced cost. With such a dynamic space, one must make sure that vendors will deliver on their promises. This white paper outlines 5 qualification questions to ask before and during the proof of concept (POC), and 5 things to test during the POC.

contains information on data warehousing bi  data management, data virtualization, proof of concept, POC, data center, provisioning, data security, copy data management, CDM Read More

BI on the Go . . . So, Who’s Using Mobile BI?


In this first of two posts, TEC senior BI and data management analyst Jorge García presents some of the main findings of the TEC 2014 mobile survey on the usage of mobile BI offerings by enterprises—who's using mobile BI offerings and from which vendors, and which industry is showing the interest in mobile BI solutions.

contains information on data warehousing bi  on the Go . . . So, Who’s Using Mobile BI? Piggybacking off of the success of the most recent TEC Buyer’s Guide, the 2014 Buyer''s Guide on Mobile BI applications , we took the opportunity to survey users of mobile business intelligence (BI) applications and collect their impressions in regard to these tools. Most of the results of this survey with more than 250 respondents were captured in an Infographic . Additional information garnered from the survey, while not conclusive, may provide a glance Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

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2011 Business Intelligence Buyer's Guide: BI for Everyone


This buyer guide is for business owners, managers, decision makers, and anyone interested in learning about the deployment of business intelligence (BI) systems across large enterprises as well as small to medium businesses (SMBs). It presents a comprehensive view of the wide spectrum of BI software solutions currently available and investigates how they match different types of organizations according to size and need.

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Big Data, Little Data, and Everything in Between—IBM SPSS Solutions Help You Bring Analytics to Everyone


Regardless of the type or scale of business data your users need to harness and analyze, they need a straightforward, visual solution that is easy to use on the front end and highly scalable on the back end. Fortunately, IBM SPSS solutions provide just such an ecosystem that can make different kinds of data stores—from Hadoop to those proverbial spreadsheets—useful sources of business insight and decision support.

contains information on data warehousing bi  big data, predictive analytics, real-time analytics, embedded analytics, business analytics, IBM SPSS solutions, IBM SPSS predictive analytics tools, SPSS predictive software, predictive software Read More

Data Quality: A Survival Guide for Marketing


Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

contains information on data warehousing bi  Quality: A Survival Guide for Marketing Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more. Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

contains information on data warehousing bi  spend analytics,performance management software,spend analyses,supplier risk assessments,data enrichment and classification Read More

Five BI Success Factors for the Midsize Organization: Tactical Guidelines for Effective BI Deployment


Midsize businesses feel the most pressure to boost revenue and increase profits—and have smaller margins for error. Achieving your goals requires making smart, timely decisions that are backed by solid data. With a business intelligence (BI) solution, you can make timely informed decisions and improve productivity, while maximizing value and return. Find out about the five success factors for implementing a BI solution.

contains information on data warehousing bi   Read More