Category Archives: Data Analysis

Law Dissertations and Learning Through Case Studies

Students who are doing their dissertations in law will find that one of the best ways of learning the subject is to prepare case studies on it. Preparing case studies in law is also a useful project for dissertation students to showcase to their university board.

Behind every case there is a story. Behind that story there is an investigation. The law students can start with learning everything they can about the background story. What was the nature of the offense committed? Who were the parties involved and how were they impacted?

There are usually plenty of papers filed with regards to a case and the volumes of official documentation involved are huge. Law students should try and get access to read these documents because they can teach them a lot about how the case was handled. They should go into the intricacies of each case and examine what were the finer points of each case.

The best part about doing case studies is that it gives dissertation students the opportunity to relive a case and put it in their own words. The students can research who the lawyers on the opposing sides were. They can look at what their backgrounds were, where they got their education from, what kind of experience they had, and what their approach regarding each case was. This will definitely help the students form an idea on what tactics lawyers use when it comes to their cases, and what kind of experience lawyers have that turns them into sharp skilled legal eagles.

Dissertation candidates can either do a case study on a litigation that is ongoing or they can do their case study on a litigation that has been solved. Cases that have reached a solution will help them understand how lawyers can win a court battle, and conversely they can also help to understand what can be done to avoid defeats. Unsettled litigations help understand why cases have not been concluded and what can be done to bring them to a speedy end.

Marketing intelligence: External and Internal data

It is considered important to use take the view of the market by making use of two different sources of information, i.e. based on external and internal data. This helps to understand about the current trend in a market place the ongoing issues and what could be the future potential to tap.

External data implies collecting and analysing already published information so as to create an image of the market in order to try and find solutions for few specific questions like:

  • The market potential
  • Identifying the competitors
  • Analysing the competitors market position against one’s  strengths and weaknesses
  • Any indication of future development.

Another specific form of market intelligence is competitive intelligence which is undertaken on continuous basis involving the collection of materials, news and regarding information about competitors from varied sources. This form of intelligence is not about recognising one-off pieces of data rather it’s about placing the structures in place.

Internal data implies gathering information from existing sources of information. It is possible to comprehend cross- sale and up-sale opportunities by the analysis of the database of orders that have already been taken. It also helps in telling about the most profitable customers and thus giving important information as to who is looking for our products and services. Employees also help in giving information about competitors, customers and the market. By collecting and disseminating such information falls into the domain of customer knowledge management which can further help business to focus more on the demands of the customers.

This in turn helps in better segmentation and the results help one to repeat and enhance future successful campaigns.

Eviews for data analysis

Econometric Views known as EViews in short, refers to a statistical package which could be used in the Windows platform. EViews are mainly used for basic statistical analyses as well as econometric analyses including panel data and cross-section analysis, forecasting, time series estimation, etc. EViews combines relational database technology and spreadsheet along with conventional tasks available in statistical software.

Apart from using a Windows Graphical User Interface, a programming language which uses restricted object orientation is also used in EViews. Trends and cycles belonging to the time series data could be computed using EViews with the help of Hodrick-Prescott filter, Christiano-Fitzgerald or Baxter-King fixed length filters, etc.

There are different tools provided by EViews to work with pooled or panel data, cross-section or time series data, and so on. The EViews framework handles unbalanced or balanced, undated or dated, irregular or regular frequency panel data packages with ease. The data structure tools offered by EViews permits to change the data from stacked or panel format to unstacked or pooled formats and vice versa. Auto series, smart links, etc. enables you to merge, slice, convert frequency, and finally summarize the data easily. EViews is frequently used by scholars who are pursuing courses in banking or public finance. It helps in making forecast related to the economic conditions and is also used for policy formation.