Search results
Results from the WOW.Com Content Network
A deliverable is a tangible or intangible good or service produced as a result of a project that is intended to be delivered to a customer (either internal or external). [1] [2] A deliverable could be a report, a document, a software product, a server upgrade or any other building block of an overall project. [3]
Data Moat Large amounts of data acquired by an organization that can be harvested for sustainable, differentiating competitive advantage. [2] Deliverable(s) Finished product or outcome Downsize Reduce the number of employees through a lay-off End-user perspective Point of view of a customer about a product or service Evergreen
In many circumstances, these sources use inconsistent terms and definitions to describe the data content itself – making it hard to compare data, hard to automate business processes, hard to feed complex applications and hard to exchange data. This frequently results in a difficult process of data mapping and cross-referencing.
DataOps is a set of practices, processes and technologies that combines an integrated and process-oriented perspective on data with automation and methods from agile software engineering to improve quality, speed, and collaboration and promote a culture of continuous improvement in the area of data analytics. [1]
The term Information Logistics (IL) may be used in either of two ways: . Firstly, it can be defined as "managing and controlling information handling processes optimally with respect to time (flow time and capacity), storage, distribution and presentation in such a way that it contributes to company results in concurrence with the costs of capturing (creation, searching, maintenance etc)."
E-business (or e-commerce): e-services mostly provided by businesses or non-government organizations (NGOs) (private sector). E-government : e-services provided by government to citizens or business (public sector is the supply side).
However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.
Availability of timely management information: IT should be able to provide the right and accurate information in a timely manner to the business managers to make sound business decisions. “This performance metric captures the frequency with which business users receive the information they need in the time-frame they need it.” [ 5 ]