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An operating expense (opex) [a] is an ongoing cost for running a product, business, or system. [1] Its counterpart, a capital expenditure (capex), is the cost of developing or providing non-consumable parts for the product or system.
Operating costs or operational costs, are the expenses which are related to the operation of a business, or to the operation of a device, component, piece of equipment or facility. They are the cost of resources used by an organization just to maintain its existence.
An operational data store (ODS) is used for operational reporting and as a source of data for the enterprise data warehouse (EDW). It is a complementary element to an EDW in a decision support environment, and is used for operational reporting, controls, and decision making, as opposed to the EDW, which is used for tactical and strategic decision support.
The operating budget contains the revenue and expenditure generated from the daily business functions of the company. [1] [2] It concentrates on the operating expenditures — the cost of goods sold, the cost of direct labour and direct materials that are tied to production; as well as the overhead and administration costs tied directly to manufacturing the goods and providing services.
Interest is a financing flow. [4] It takes into consideration how the operations are financed or taxed.Since it adjusts for liabilities, receivables, and depreciation, operating cash flow is a more accurate measure of how much cash a company has generated (or used) than traditional measures of profitability such as net income or EBIT.
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Operational database management systems (also referred to as OLTP databases or online transaction processing databases), are used to update data in real-time. These types of databases allow users to do more than simply view archived data. Operational databases allow you to modify that data (add, change or delete data), doing it in real-time. [1]
The definition of an operational analytics processing engine (OPAP) [8] can be expressed in the form of the following six propositions: Complex queries: Support for queries like inner & outer joins, aggregations, sorting, relevance, etc. Low data latency: An update to any data record is visible in query results in under than a few seconds.