Databases
- 302
- DQ Global
- Software for data deduplication, correct addressing, data cleansing, data conditioning and data enhancement.
- 303
- DQ Now
- Integrating data profiling, cleansing, and match/dedup tools with in-depth interactive reports.
- 304
- DataDelta, Inc.
- Vendor neutral software that helps analyze and optimize match engines from third-party data quality and customer data integration vendors.
- 305
- Datiris
- Provides data profiling software with features that include batch profiling, drill down, and pattern analysis.
- 306
- Harte-Hanks Trillium Software
- Provides data quality solutions that support the lifecycle of data management.
- 307
- InfoRoute Inc.
- Developers of address validation and correction, name parsing, and customer matching software.
- 308
- Kroll-Software - FuzzyDupes
- Offers pattern matching algorithms that can find duplicate records in databases.
- 309
- NotePage, Inc.
- TextPipe Pro sequentially applies filters to incoming text. Filters include search and replace, convert end-of-line characters, remove or insert lines or columns, remove HTML, and remove extra space characters.
- 310
- Opendedup
- Free, open source user space deduplication project released under the GNU GPL and designed to support the needs of virtual environments including the VMware, Xen, and KVM hypervisors.
- 311
- Potter's Wheel
- Berkeley Database group CONTROL Project, an Open Source interactive tool for data cleaning, analysis, and transformation.
- 314
- Uniserv GmbH
- Provides solutions in address management combined with market orientation and customer proximity. Offers live tests of postal address validation plus address analysis for multiple countries.
- 315
- WinPure Ltd
- Provider of list and data cleansing software, together with a bureau service for verifying, correcting and enhancing both consumer and business data.
- 316
- B-EYE-Network
- Delivers industry-based business intelligence, business performance management, data warehousing and data quality content.
- 317
- Big Data Technology Does Not Replace a Data Warehouse
- Bill Inmon's review of DW and its relation to the recent popularity of Big Data
- 319
- Data Extraction and Ad Hoc Query of an Entity— Attribute— Value Database
- Article outlining a method for ad-hoc querying of entity-attribute-value (EAV) warehouse models.
- 320
- The Four Legs of a Successful Business Intelligence (BI) Project Team
- A successful BI project team is like a four-legged table - each leg holds up its share of the weight. Remove one and the project wobbles. The four legs of a team are Project Sponsorship and Governance, Project Management, Development Team (Core Team), and Extended Project Team. (April 01, 2003)