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Documents related to » visual data discovery


Data Discovery Applications » The TEC Blog
capabilities Easy and powerful visual data modeling and visualization tools Features for enabling data mash-ups Rich enterprise data and content search capabilities Text enrichment and analysis features such as sentiment analysis Team collaboration features Availability of rich analysis tools such as regression, nonlinear modeling, etc. Easy integration with Microsoft Office, especially Excel Mobile analytics features Organizations can benefit from these types of applications in the following ways: Rapid

VISUAL DATA DISCOVERY: analytics, bi, Business Intelligence, Cognos Insight, data discovery, data discovery applications, endeca, Inetsoft, Lyza, PowerPivot, QlikView, style intelligence, Tableau, TIBCO spotfire, visual intelligence, webfocus visual discovery, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
17-08-2012

Teradata Introduces Aster Discovery Platform 5.10 » The TEC Blog
A new set of Visual SQL-MapReduce functions to offer capabilities for generating sophisticated purpose-built data visualizations coupled with other Aster SQL-MapReduce analytical functions generated inside the database In-Database “R” execution capabilities—the open source statistical language, R, is integrated within the Teradata Aster Database. Support for In-Database PMML execution via Zementis to tight integration between Zementis and Teradata Aster Database, empowering business analysts to

VISUAL DATA DISCOVERY: Aster Discovery Platform, big data, big data analytics, data visualization, industry watch, MapReduce functions, Teradata, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
28-02-2013

Better Discovery Better Results
System solutions must be aligned to business needs. Unfortunately, current approaches for providing system solutions have a fatal flaw--their approach to finding out what is truly happening in an organization. Current discovery efforts rely on interviewing selected representatives who provide their perception of what others do. Solutions based on perceptions, rather than reality, are disruptive and costly. This paper presents a more effective approach for determining how an organization truly operates and its real needs.

VISUAL DATA DISCOVERY: system, methods, approach, Pebble, choose, hint.
5/25/2005 10:37:00 AM

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

VISUAL DATA DISCOVERY: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in
9/9/2009 2:32:00 PM

Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full 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. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

VISUAL DATA DISCOVERY: planners the ability to visually map cleansing tactics, and logically cascade one data quality function to feed another. If a leaky area exists in the information pipeline, the map helps to position redundant checks around the leak to contain the contamination. When building the list and map, concentrate on the data defined by the goals. A workflow may have numerous data touch points, but a subset will interact with specified data elements. For example, a teleprospecting department needs to have all of
1/25/2010 1:13:00 PM

Delivering Adaptive Discovery for Business Process Management
Designing processes for business process management solutions can be daunting, as all flows, rules, and exceptions have to be defined. With Adaptive Discovery from Ultimus, however, processes can be designed on a high level, and exceptions defined after deployment.

VISUAL DATA DISCOVERY: Delivering Adaptive Discovery for Business Process Management Delivering Adaptive Discovery for Business Process Management Hans Mercx - October 13, 2006 Read Comments Automating processes through business process management (BPM) solutions is not where the benefits of the solution end. Because the processes people use internally change rapidly, the BPM solution should adapt its processes accordingly. The ability of the BPM solution to adapt to the ever-changing environment within organizations provides
10/13/2006

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.

VISUAL DATA DISCOVERY: know to ask. Data Visualization Tools: Tools that show graphical representations of data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some vendors are making progress in this area using the Virtual Reality Modeling Language (VRML). Metadata Management: Throughout the entire process of identifying, acquiring, and querying the data, metadata management takes place. Metadata is
8/18/2002

Meeting the Challenges of Product Traceability with Automated Data Collection
With a minimum of effort, learn all about Meeting the Challenges of Product Traceability with Automated Data Collection.Download our Free whitepaper and find the Software Information You're Looking for. An effective traceability system involves determining which product and manufacturing process attributes to collect and maintain—and deciding when during the manufacturing process to begin collecting those attributes. Do you begin with raw material attributes from the supplier, at inspection, at assembly, at shipping? Explore the many facets of meeting product traceability challenges using automated data collection.

VISUAL DATA DISCOVERY: proactive action using highly visual, personalized dashboards and reports. Radley’s Productivity Monitor provides graphical displays of your key performance metrics plus real-time alerts and displays event data from x/DC or your other key applications. Product traceability is a requirement for many products, and the list grows longer every day. Having a place to store traceability data is straightforward, but the collection of that data is an enormous task that is usually overlooked until too late. By
7/21/2009 12:59:00 PM

Master Data Management
It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your organization.

VISUAL DATA DISCOVERY: Master Data Management Master Data Management Source: Skura Corp Document Type: White Paper Description: It’s common to hear that master data management (MDM) projects are difficult to initiate. But pairing up an MDM project with another initiative already on your organization’s priority list might be easier than you think. Find out some of the basics surrounding MDM itself, including what MDM can refer to, as well as how to couple it with other projects that may already have momentum in your
6/26/2008 7:52:00 PM

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

VISUAL DATA DISCOVERY: Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor
9/9/2009 2:36:00 PM

More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

VISUAL DATA DISCOVERY: More Data is Going to the Cleaners More Data is Going to the Cleaners M. Reed - December 1, 1999 Read Comments Event Summary WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT), a leading global data management software company, today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership
12/1/1999


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