General Description definition

General Description a general overview of the Data Processing performed by POST as Processor of the Customer, on the Customer’s Instruction and in the context of its contractual customer relationships. The Descriptions (General and Specific) may be subject to any revisions required by the Law;
General Description. Contract Amount:
General Description. Documentation: Softcopy

Examples of General Description in a sentence

  • General Description: A WIC Breastfeeding Peer Counselor is a paraprofessional support person who gives basic breastfeeding information and encouragement to WIC prenatal and breastfeeding clients.

  • Xxxxx, X.X. xxxxxx@xxxxxxxxx.xxx General Description of Services: See Exhibit A-2 Maximum Contract Amount: $63,000.00 Effective Date: On the latest of the dates signed by both parties.

  • Based on the Competent Professional Authority (CPA) Policy 03-17 Based on WIC Nutrition Services Standard 08-13 General Description: Responsible for the local agency breastfeeding education program and breastfeeding activities.

  • General Description: Responsible for duties specific to high-risk clients and serves as a Competent Professional Authority (CPA).


More Definitions of General Description

General Description. The position of the City Manager serves as the chief administrative officer of the City and is responsible for the day to day operations of the City and is appointed by, and serves under the City Council. The City Manager is responsible for the supervision and direction of all departments, agencies or offices of the City.
General Description. This category represents miscellaneous SHOWCASE STRATEGY software and documentation that is required to deliver a complete solution. Examples include: a.) client and host installation and setup software and documentation b.) product tutorials and sample files c.) sample database files
General Description. Warehouse Builder is a powerful data transformation product that allows users to convert data into meaningful information within a relational data warehouse. Specifically, Warehouse Builder has the power to transform and simplify data as it is being moved. It can cleanse data to make it more understandable to end users, summarize data at the time of transfer, and track transaction history information. Additionally, Warehouse Builder can automatically populate Essbase/400 multidimensional databases, apply load rules, initiate calculations, and run Essbase/400 routines such as SQL data loads and dimension builds. These direct links to Essbase/400 simplify and speed up the creation of the multidimensional portion of a data warehouse.
General Description. Analyzer OLAP Server is used for reading and writing Analyzer, Analyzer Designer and Analyzer Data Modeler system database files. All system database files reside on the AS/400 and are administered through SHOWCASE STRATEGY's Warehouse Manager client software. Access to the Analyzer OLAP Server is controlled through AS/400 user profiles defined in Warehouse Manager. Users log in to Analyzer with their AS/400 user ID and password. The same AS/400 user ID and password is automatically passed to the Essbase/400 server when the user logs in to Essbase/400.This simplification means administrators have fewer profiles and user IDs to administer and end users have fewer IDs and passwords to keep track of. December 9, 1998 License Agreement
General Description. Analyzer for the Web is a "thin" version of Analyzer that allows users to conduct basic data analysis tasks via a corporate intranet or extranet. Analyzer for the Web is built in the powerful Java programming language. Therefore, users can run Analyzer for the Web from within inexpensive and popular Java-enabled web browsers such as Microsoft Internet Explorer and Netscape Navigator. This architecture, combined with the fact that Analyzer for the Web features an interface that is very similar to Analyzer's, enables companies to eliminate the overhead of supporting and training users on different software for in-house and remote data analysis.
General Description. Analyzer is a powerful tool that provides seamless access to Essbase/400 databases and the ability to drill through the consolidated information in an Essbase/400 database to underlying detail data stored in relational databases. Analyzer's various analysis functions include the ability to pivot, rank, filter, sort, and apply traffic lighting to information. Users can view data in a spreadsheet or a chart, and link numerous spreadsheets and charts together to provide a logical, speed-of-thought path through corporate information. In addition, Analyzer provides the tools necessary to create pinboards and forms in which to display data. Its advanced features include the ability to update data in Essbase/400 databases (if users have the proper authority), thereby allowing users to conduct "what if" analysis and work with budgeting applications. The result is an application that uniquely empowers businesses to leverage the wealth of information in their data warehouse by spotting opportunities, pinpointing and resolving problems, and more.
General Description. Data View Manager enables administrators or business analysts to create a simplified view of any AS/400 database, whether it's used for transaction processing or analysis. The simplified view is saved on the AS/400 as a data view and insulates end users from complex query tasks such as defining table join criteria, building frequently used result columns, and summarizing detail data. In fact, administrators or business analysts can use data views to remove unnecessary columns of data from view, build frequently-used Sub-SELECT support, and define understandable column names. Once created, a data view can be used in several SHOWCASE STRATEGY products, including Warehouse Builder, Query, Report Writer, and Analyzer Data Modeler. A data view can even be used in Data View Manager as the basis for another data view. The net result is that administrators and/or business analysts can create an easy-to-use relational data warehouse and potentially improve query and reporting performance by ensuring that data is accessed correctly.