Monte Carlo simulation is an extension of statistical analysis where simulated data is produced. This method uses repeated sampling techniques to generate simulated data. For instance, a regression model analyzes the effect of independent variables X1 and X2 on dependent variable Y. Read more »
To showcase industry expertise I developed a model for any particular industry and based on the model the graph was to be prepared. The main motive of developing such model was to show our expertise in the industry and keep up to date with latest trends and changes. Read more »
Air contamination is defined as the presence of toxins that affect the environment (Vallero 2011). India, as a rapidly developing nation, needs to manage its ecological issues well to minimise contamination of air, water and soil. The major factors for air pollution in the country are:
Housing is a challenging issue all over the world, particularly in developing nations like India. It has turned into a top need of the administration and the society at large to address this issue. According to recent research, by 2025 over half of the Indian population will live in urban settlements looking for steadiness and wage (Anon n.d.). Read more »
There are various methods which organisations adopt to measure employee performance such as:
- comparative approach,
- attribute approach,
- behavioural approach,
- result approach and
- quality approach.
Behavioural approach is the most commonly adopted approach and comprises of vertical scales which are based on certain parameters. Organisations use following techniques to measure employee performance:
In recent years, industries such as finance, healthcare and Information and communication technology (ICT) industries have witnessed dramatic changes as a result of big data phenomenon. In fact, a recent report by Consumer News and Business Channel (CNBC) (2015) highlighted the role of big data in the real estate sector and explained its evolution. This then has provided analysts with opportunities to restructure raw data and offer related solutions (Catella, 2015). Hence, the role of R software in identifying basic patterns in unstructured big data cannot be underestimated. This is because it helps in standardization of unfamiliar characteristics as well as estimation of important parameters (CoreLogic, 2013) . Read more »
The contemporary digitized era has welcomed the innovative ways of transactions in the market. Today’s market boasts of speed, safety and convenience. Consumers are flooded with vast array of digital payment platforms, online shopping and cashless transactions. In addition sellers too are offered the equal opportunities of handling and managing their sales (Reserve Bank of India 2016). One such unique feature of conducting digital transactions is through payment terminals.
Big data applications are vital for storing and processing large amounts of data. Depending on the type of organisation, big data sets can be used to better understand customer needs and preferences. Amazon stores, for example are using big data applications to process data of its customers and provide them with recommendations for future purchases. Its advertisements are also tailored with customer purchasing trends and their history.