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Custom software (also known as bespoke software or tailor-made software) is software that is developed specifically for some specific organization or other user. As such, it can be contrasted with the use of out-of-the-box software packages developed for the mass market, such as commercial off-the-shelf software, or existing free software.
On November 16, 2021, the version 1.1.0 was released with several major changes. The changes include packaging Python with the software, significant simplification of the build process from source, new modules and effects. [8] [1] On Jul 14, 2023, version 1.2.0 was released with several new modules, usability enhancements, OSC support and bug ...
Because software, unlike a major civil engineering construction project, is often easy and cheap to change after it has been constructed, a piece of custom software that fails to deliver on its objectives may sometimes be modified over time in such a way that it later succeeds—and/or business processes or end-user mindsets may change to accommodate the software.
Specializing in bespoke software development for a variety of professional and industrial sectors, OCC also provides IT consultancy services to a wide range of industries. It has produced OCC Marketplace, a product for local authorities for the Government's individual budgets program.
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Bespoke portfolio (CDO), a portfolio designed to meet the requirements of a specific investor Bespoke CDO, a bespoke, synthetic CDO; Bespoke shoes; Bespoke software, software written to the specific requirement of a customer; Bespoke tailoring, men's clothing made to the individual measurements of the customer
MicroStrategy Incorporated is an American development company that provides business intelligence (BI), mobile software, and cloud-based services.Founded in 1989 by Michael J. Saylor, Sanju Bansal, and Thomas Spahr, the firm develops software to analyze internal and external data in order to make business decisions and to develop mobile apps.
At first, individual organizations developed their own software, including data management utilities, themselves. Different products might also have 'one-off' bespoke software. This fragmented approach led to duplicated effort and the production of management information needed manual effort.