Terms Beginning With 'a'

Acceptable Quality Level

  • January 03, 2020
  • Team Kalkine

It is the average of the worst tolerable process that is considered acceptable. The quality level of a process is accepted if its data falls in between the range of the acceptable quality limits.

What is an Absolute Advantage? Absolute advantage is one of the key macroeconomic terms, which is based on the principles of Capitalism and is often utilised in international trade-related decisions. Absolute advantage refers to the competence of a company, region or country to produce goods or services in an efficient manner compared to any other economic entity. The efficiency in production can be achieved by: Production of the same quantity of good or services as produced by other entity by utilising fewer amount of resources Production of a higher quantity of good or services as produced by other entity by using the same amount of resources What is the Significance of Absolute Advantage? Different countries or businesses possess a different set of ability owing to their location, soil composition, weather, infrastructure, or human resource skills. When applied in the right direction, various factors may pan out to offer more cost-effectiveness and hence build absolute advantage of the entity in comparison to others.  The absolute advantage remains one of the critical determinants for the choice of the goods or services to be produced. Absolute advantage in a particular area often translates into profitability in the area. The profit margin increases by the achievement of cost efficiency, allowing the entity to ensure higher profitability over the competitors.  For example, let us assume that the US can produce ten high-quality aircrafts utilising a specific amount of resources. China, on the other hand, can build 6 similar quality aircrafts using the same amount of resources. Thus, in the production of an aircraft, the US holds Absolute Advantage Let’s say the US has the ability to manufacture a certain amount of steel using 10 tonnes of iron ore. China, on the other hand, can produce the same quantity of steel using 8 tonnes of iron ore.Here, China here holds Absolute Advantage in the production of steel.  How Countries Build Absolute Advantage? While natural conditions, which include climatic factors, geometry, topography, cannot be altered for achieving absolute advantage, the countries use the underlying factors strategically in their favour. Furthermore, factors of production are focused at by many companies or nations for building absolute advantages.  Some of the strategies for building absolute advantage includes: Development of Technological Competencies- The implementation of innovative or latest technological innovations allows the entities to lower their production cost, facilitating absolute advantage.  Enhancing Skills of Human Resources- The improvement in the cost-efficiency, along with the quality of the products, is targeted through imparting varying skill development programs. Many countries subsidize or aid the apprentice or labour training for enhancing the absolute advantage in trade.  Improving Infrastructure- The infrastructure enhancement in the form of road, telecommunications, ports, etc. can be useful in enhancing the cost-effectiveness across different industries.  What Do We Understand by Comparative Advantage Vs Absolute Advantage? Evaluating the comparative advantage introduces the concept of opportunity cost, which is the deciding factor to determine the production of particular goods or services. Opportunity cost refers to the potential benefits associated with the next best possible alternative which is missed out when one option is chosen over another.  The Absolute advantage simply considers the capability of a business or region to deliver goods or services in the most efficient manner. The Comparative Advantage, however, also takes into account the benefits that are forgone if an entity decides for production of a particular product or services.  Comparative advantage, based on the notion of mutual benefits, is often used in international trade deals. The Comparative advantage has been the major factor driving the outsourcing of services in search of cheap labour.  Understanding through an Example For instance, country A can produce ten televisions with the same amount of resources with which it can make 7 laptops. The opportunity cost per television is 7/10 or 0.7 laptops. Meanwhile, the opportunity cost per laptop is 10/7 or 1.42 television.  It highlights that country A is forsaking the production of 0.7 laptops if it is deciding to manufacture one television. On the other hand, it is missing out the opportunity to manufacture 1.42 televisions for every single laptop manufactured.  Now, say Country B’s opportunity cost for producing a television is 0.5 laptop, and that of producing laptop is 2 televisions. Then, country B will have a comparative advantage in making televisions, and country A will have comparative advantage in producing laptops. It has to be noted that despite country A having absolute advantages in both the products, it would be mutually beneficial for both the countries if country B produces television while country A produces laptops. Do You Know About Absolute Advantage Theory by Adam Smith? The concept of Absolute Advantage was indicated by Adam Smith in his book called ‘Wealth of Nations’ which focusses on International trade theory. Adam Smith, in his book attacked on the previous mercantilism theory, which mainly stressed for economies to maintain trade surplus in order to command power.  The Absolute Advantage theory considered that the countries possess different ability with respect to the production of varying goods or services. It argued that it is not necessary that a state may hold an absolute advantage in the production of all goods, and here the relevance of trade comes into play.  It advocates that countries should produce those goods over which they hold a competitive advantage. It would allow the countries to make the same amount of goods using few resources or in less time. The theory propagates the relevance of trade for economic sustainability.  What Are the Limitations of the Absolute Advantage Theory? The assumptions used in the Absolute Advantage Theory by Adam Smith may limit the application in real bilateral trade. The limitations of the theory by Adam Smith include: Smith assumed that the productive capabilities of a country could not be transferred between the two countries. However, in practical terms, the competitive scenario aids the nations to acquire new capabilities and acquire new resources, especially in the technological and human resource skill aspects.  The two-country trade which was used as a basis for the theory does not consider the trade barriers levied. The present scenario, however, is strikingly dominated by trade wars between economies. Nations impose huge tariffs, import duties and other type of barriers to promote local manufacturers.  Absolute Advantage theory assumes that the trade between the two nations will take place only if each of the two economies holds an absolute advantage in one of the commodities traded. However, in general, countries despite not holding absolute advantage are engrossed in international trade, boosting their economic setup.

What is Data Mining? Data mining is a process that facilitates the extraction of relevant information from a vast dataset. The process helps to discover a new, accurate and useful pattern in the data to derive helpful pattern in data and relevant information from the dataset for organization or individual who requires it. Key Features of data mining include: Based on the trend and behaviour analysis, data mining helps to predict pattern automatically. Predicts the possible outcome. Helps to create decision-oriented information. Focuses on large datasets and databases for analysis. Clustering based on findings and a visually documented group of facts that were earlier hidden. How does data mining work? The first step of the data mining process includes the collection of data and loading it into the data warehouse. In the next step, the data is stored and managed on cloud or in-house servers. Business analyst, data miners, IT professionals or the management team then extracts these data from the sources and accordingly access and determine the way they want to organize the data. The application software performs data sorting based on user’s result. In the last step, the user presents the data in the presentable format, which could be in the form of a graph or table.         Image Source: © Kalkine Group 2020 What is the process of data mining? Multiple processes are involved in the implementation of data mining before mining happens. These processes include: Business Research: Before we begin the process of data mining, we must have a complete understanding of the business problem, business objectives, the resources available plus the existing scenario to meet these requirements. Having a fair knowledge of these topics would help to create a detailed data mining plan that meets the goals set up by the business. Data Quality Checks: Once we have all the data collected, we must check the data so that there are no blockages in the data integration process. The quality assurance helps to detect any core irregularities in the data like missing data interpolation. Data Cleaning: A vital process, data cleaning costumes a considerable amount of time in the selection, formatting, and anonymization of data. Data Transformation: Once data cleaning completes, the next process involves data transformation. It comprises of five stages comprising, data smoothing, data summary, data generalization, data normalization and data attribute construction. Data Modelling: In this process, several mathematical models are implemented in the dataset. What are the techniques of data mining? Association: Association (or the relation technique) is the most used data mining technique. In this technique, the transaction and the relationship between the items are used to discover a pattern. Association is used for market basket analysis which is done to identify all those products which customer buy together. An example of this is a department store, where we find those goods close to each other, which the customers generally buy together, like bread, butter, jam, eggs. Clustering: Clustering technique involves the creation of a meaningful object with common characteristics. An example of this is the placement of books in the library in a way that a similar category of books is there on the same shelf. Classification: As the name suggests, the classification technique helps the user to classify and variable in the dataset into pre-defined groups and classes. It uses linear programming, statistics, decision tree and artificial neural networks. Through the classification technique, we can develop software that can be modelled so that data can be classified into different classes. Prediction: Prediction techniques help to identify the dependent and the independent variables. Based on the past sales data, a business can use this technique to identify how the business would do in the future. It can help the user to determine whether the business would make a profit or not. Sequential Pattern: In this technique, the transaction data is used and though this data, the user identifies similar trends, pattern, and events over a period. An example is the historical sales data which a department store pulls out to identify the items in the store which customer purchases together at different times of the year. Applications of data mining Data mining techniques find their applications across a broad range of industries. Some of the applications are listed below: Healthcare Education Customer Relationship Management Manufacturing Market Basket Analysis Finance and Banking Insurance Fraud Detection Monitoring Pattern Classification Data Mining Tools Data mining aims to find out the hidden, valid and all possible patterns in a large dataset. In this process, there are several tools available in the market that helps in data mining. Below is a list of ten of the most widely used data mining tools: SAS Data mining Teradata R-Programing Board Dundas Inetsoft H3O Qlik RapidMiner Oracle BI

What is Day Trading? Day trading is popular among a section of market participants. It is a type of speculation wherein trades are squared-off before the market close in the same day. An individual or a group is engaged in buying and selling of securities for a short period for profits, the trades could be active for seconds, minutes or hours.  One can engage in day trading of many securities in the market. Anyone who has sufficient capital to fund the purchase can engage in day trading. For a class of people, day trading is a full-time job.  Day traders are agnostic to the long-term implications of the security and motive is to benefit from the price changes on either side and make profit out of the asset price fluctuations within a day. They bet on price movements of the security and are not averse to take short positions to benefit from the fall in price.  Day trading is not only popular among individuals or retail traders but institutional traders as well, therefore the price movements are large sometimes depending on the magnitude of information flow and accessibility.  Everyone wants to make money faster, and many are inclined to speculate in markets, but it comes with considerable risk and potential loss of capital. People engaged in day trading also incur losses, and oftentimes outcomes are disheartening.  Day trading is a risky activity, similar to sports betting and gambling, and it could become addictive just like gambling and sports betting. Since the motive is to earn profits, the profits realised from day trading also tempt people to continue speculating.  People spend considerable time and efforts to make the most out of day trading. They have to continuously absorb and incorporate information flow, which has become increasingly accessible driven by new-age communications systems like Twitter, Facebook, forums etc. But not only information flows have been favourable, day traders are now equipped with best in class infrastructure to execute trades even on compact devices like mobile phones. The accessibility to markets is at a paramount level and gone are days of phone call trading and lack of information flows.  What are the essentials for Day Trading? Basic knowledge of markets With lack of basic knowledge of markets, day trading may yield unacceptable outcomes. It becomes imperative for people to know what’s on the stake. Prospective day traders should know about capital markets, and the securities traded in capital markets like bonds, equity and derivatives.  Buying shares and expecting a return from the price movements are on the to-do list for many. However, it is important to know about and risks and potential returns from speculating in capital markets.  After getting some basic knowledge about markets and securities, aspiring day traders should know how to analyse market prices of securities through fundamental analysis and technical analysis. Although day traders don’t practice fundamental analysis extensively, they spend considerable time to apply technical analysis, to formulate a entry and exit strategy.   Device and internet connection Trading is now possible on mobile applications as well as computer applications or websites. An aspiring day trader will likely begin with mobile phone given the accessibility, and laptops/computers are useful as scale grows larger and complex.  Internet connection is prerequisite to practising day trading, and it is favourable to have a fast internet connection to avoid glitches and potential problems. These perquisites are now available with large sections of societies.  Broker and trading platform A broker will facilitate a market for potential trades. The security brokerage industry has also seen a profound shift as technology has driven cost lower while competition is ramping up across jurisdictions. Large retail brokerages have moved towards zero commission trading in the U.S., and the same is seen being the trend across other geographies as well.  The entry of discount and online brokerages has perhaps given wings to the retail market participants as well as the retail market for security brokers. Robinhood has grown immensely popular in the United States, but there are many firms like Robinhood in other jurisdictions. Each country has some firms with business model on same lines as Robinhood.  Brokers now offer high-quality mobile applications and web services to clients, and trading security has never been so accessible. They also provide access to the global market along with a range of securities, including commodity derivatives, currency derivatives, CFDs, options, futures, bond futures etc.  Real-time market information flow   On public sources, market price information is at times not live due technical shortcomings, which will not work appropriately, especially for day traders. Brokers not only provide platform and market but several other services, including margin lending, real-time data, research.  Day traders closely track prices of securities and overall information flow to incorporate developments in bidding, and real-time data provides accurate prices throughout market hours.  Information flow largely relates to the news around the company, industry or economy. Day traders now have far better sources of information than the conventional sources, and sometimes these sources could be exclusive to a group.  What are the risks of day trading? Most of the aspiring day traders end up losing money, given the lack of experience and knowledge. They should rather only bet on capital that they are comfortable to loose, in short, they should avoid risk of ruin. Day trading is sort of pure-play speculation and application of knowledge, information flow, laced with good trading system is paramount. The only concern of day traders is movement in price, which contradicts from investments. Day traders try to time and ride the momentum in the price and exit the trade before momentum turns otherwise, which can happen frequently.  It consumes considerable time and induces stress on the individuals given the nature of security prices, which can move north and south abruptly throughout the day, hours, minutes and seconds. Day traders should have enough capital to trade in cash instead of margin.  Day trading on margin or borrowed money is extremely risky and has the potential to make a person insolvent, especially in cases of extreme risk-taking. The leverage associated with borrowed money magnifies profits as well as losses.  Aspiring day traders should equip themselves with adequate knowledge, competency and sound risk management process. Although fast money is dear to most, it is better to know what is at stake before jumping into markets with excitement.   

These are basic requirements of a business that is facing challenges, and these requirements are likely to drive the remediation of the challenges. These can be identified by quality controls and business optimisation projects.

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