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An Integrated, Closed-Loop Decision Cycle Summary. In this podcast, conducted by Ron Powell, Dr. Barry Devlin explains why a process for decision making is an essential component of a production analytic platform. In this article based on a podcast interview conducted by Ron Powell, Patrick DeGlon discusses why Teradata is known as an the analytic platform provider. This article is based on an interview with Ch.
Best Practices in Business Intelligence and Analytics. Data Mining and Predictive Analytics. Data Warehouse Appliances and Architecture. From Data Warehouse to Business Insight. HD Visualization Driving BI and Analytics.
See how WebFOCUS delivers more ways to operationalize decision support for the enterprise. Integrate applications and data from across and beyond the enterprise for a trusted data foundation. Accelerators give you a jump start to insights with pre-configured analytical capabilities for specific use cases. What can your data do for you? Explore the possibilities of leveraging data to drive your business forward.
This Data Governance 101 session introduces the fundamentals for developing an organizational data governance program, and provides a high level guide for managers and practitioners in aspects of data governance, including the general roles of data governanc.
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What Is Student Data? Who Uses Student Data? Make Data Work for All Students. Which may be falling through the cracks? Who collects it and for what purposes? How is data being used to help my student and my school? What policies and practices govern how data is collected, stored, shared, accessed, retained, and used? States play a critical role in developing, enforcing, and communicating policies. What Is Student Data? Who Uses Student Data? Make Data Work for All Students. What Is Student Data? And ever.
A grassroots look at Data Quality. Something for the data quality analyst in the trenches. Tuesday, March 2, 2010. A gold DQ team! With the Olympic Games come and gone, and the NHL hockey season fast approaching the playoffs I can not help but take a moment, although brief, to state that a golden data quality team should resemble a golden hockey team. You need people with technical skills, people who can read and analyse data models with ease. The defenders on a data quality team, see the big picture.
Re-engineering Data Quality Practices for Change. Open Source Data Management Tools. During the keynote address, a variety of open source data management tools were, to some, introduced. Here are the easy links to those tools. 8220;DataCleaner is an Open Source. Application for analyzing, profiling, transforming. Data These activities help you administer and monitor your data quality. Offers a breadth of open source middleware solutions. Will let ya all know.
Methodologies, techniques and tools about Data Quality in the context of Biodiversity Informatics. Saturday, September 18, 2010. A Georeferencing Tool to Improve Biodiversity Data Quality. Published in the Proceeedings of TDWG 2010 Annual Conference. Plays an important role in the field of Biodiversity Informatics. Allows the user, by means of.