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Direct Mail Manager (DMM) was an-Internet-based tool which allowed businesses to conduct direct mail campaigns by importing address lists from Outlook, Excel, Access etc., verifying address lists by connecting to an Internet Site (ZIP-Station), printing envelopes, postcards and letters and using a mailing service. Originally it was released ...
Data analyses in Origin include statistics, signal processing, curve fitting and peak analysis. Origin's curve fitting is performed by a nonlinear least squares fitter which is based on the Levenberg–Marquardt algorithm. Origin imports data files in various formats such as ASCII text, Excel, NI TDM, DIADem, NetCDF, SPC, etc.
Microsoft Project 2002 was the first to contain task panes, safe mode, smart tags, import/setup tracking/new project/calendar/import and export mapping wizards, ability to import tasks from Outlook and to save multiple baselines along with additional baseline fields, Project Guide, EPM/portfolio features (Professional only), Excel task list ...
Data validation: Data validation rules can check for document failures, missing signatures, misspelled names, and other issues, recommending real-time correction options before importing data into the DMS. Additional processing in the form of harmonization and data format changes may also be applied as part of data validation. [7] [8] Indexing
MagicDraw has the ability to import RTF documents or parts of them into reports (Import tool), to get Teamwork Project Information and upload reports to a remote location. It includes JavaScript Tool which enables report templates to evaluate or run JavaScript codes from templates and external JavaScript files.
Data integration refers to the process of combining, sharing, or synchronizing data from multiple sources to provide users with a unified view. [1] There are a wide range of possible applications for data integration, from commercial (such as when a business merges multiple databases) to scientific (combining research data from different bioinformatics repositories).
Data integration, by contrast, is a permanent part of the IT architecture, and is responsible for the way data flows between the various applications and data stores—and is a process rather than a project activity. Standard ETL technologies designed to supply data from operational systems to data warehouses would fit within the latter category.
This lets businesses forgo preload transformations and replicate raw data into their data warehouses, where it can transform them as needed using SQL. After having used ELT, data may be processed further and stored in a data mart. [13] Most data integration tools skew towards ETL, while ELT is popular in database and data warehouse appliances.