Primary Characteristics of an Ideal Database Structure

Data Analytics, also called DA, is a swiftly emerging business technology that has really helped businesses across the globe in framing effective policies, taking informed decisions, and in winning customers. This is the reason that the DA professionals like data analysts, data architects, and data scientists are in great demand today. If you are also a job seeker in this field and going to face an interview soon, the following ten frequently asked data analytics interview questions and answers would prove to be of great help:
Ans. A typical data analysis includes the collection and organization of data. Following that, correlations or patterns are found among the analyzed data figures and the remainder of the company's or industry's data. The data analysis process also involves identifying problems and initiating appropriate preventive measures to resolve the issues found in an effective way.
Ans. A good data analyst is required to have several skills and qualifications that include thorough knowledge of the reporting packages (Business Objects), databases (SQL, SQLite, etc.), and programming languages (XML, Java script, or ETL frameworks). Technical knowledge of database design, data models, data mining and segmentation techniques, along with that of statistical packages for analyzing large data sets (SAS, SPSS, Excel, etc.) is also a must. Besides that, a keen eye for detail, strong reasoning power, good organizational skills, and an analytical bent of mind is needed.
Ans. Though the duties of a data analyst are wide and varied in scope, his primary responsibilities include documenting the types and structure of the business data (logical modeling); analyzing and mining the business data with the aim of identifying the patterns and correlations therein; mapping and tracing data from one system to another with the purpose of solving a given business or system problem; designing and creating data reports and reporting tools to facilitate effective decision making in the organization; and, performing a rigorous statistical analysis of the organizational data.
Ans. Data Cleansing, also referred to as data scrubbing, is the process of modifying or removing data from a database that is incomplete, inconsistent, incorrect, improperly formatted, or redundant. The purpose of all these activities is to make sure that the database contains only good quality data, which can be easily worked upon. There are different ways of performing data cleansing in different software and data storage architectures. It can be performed interactively with the help of data wrangling tools, or as batch processing through scripting.
Ans. Some of the best practices for data cleansing include:
Ans. The best tools for thorough data analysis are: RapidMiner, OpenRefine, Tableau, KNIME, NodeXL, Google Search Operators, Google Fusion tables, Wolfram Alpha’s, and Solver.
Ans. Data mining is the process of sorting through massive volumes of data, with the aim of identifying patterns and establishing relationships to perform data analysis and subsequently, problem solving. Data mining tools facilitate predicting the future trends by business organizations.
Data profiling can be defined as a data examining process focused on achieving various purposes like determining the accuracy and completeness of data. This process acutely examines a database, or other such data sources, in order to expose the erroneous areas in data organization; data profiling technique considerably improves the data quality.
Ans. Some of the frequently faced problems by data analyst are:
Ans. Logistic regression, also known as logit regression, is a statistical method for examining a dataset containing one or more independent variables, which define an outcome.
Ans. The characteristics of a good data model should be that:
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A Business Analyst (BA) is a professional who assesses a business’s changed needs and the impact of those changes on the business. His prime role is requirement management; he captures, analyzes, and documents requirements and communicates those requirements to the relevant stakeholders in an easily comprehensible form for further action.
These professionals play a vital role in the proper functioning of a business and thus, they are in high demand. If you are also looking for a job in this field, you have to clear the interview. We have mentioned here ten frequently asked business analyst interview questions and answers that will prove very helpful in your interview preparation:
Ans. A Business Analyst plays a crucial role in an organization:
Ans. As a business analyst, first of all, I will get a document signed by the user stating that after a particular point of time no changes to the requirements will be entertained.
In the cases where the changes to the requirements are accepted, as a BA:
Ans. There is a rule called SMART for determining a good or perfect requirement:
Specific – The description of a requirement should be unambiguous and detailed enough to be understood well.
Measurable – The requirement must be such that its outcomes are clearly measurable.
Attainable – There should be resources available for the fulfillment of the requirements.
Relevant – States that what requirements are relevant to the project and are realistic.
Timely – The requirements, in order to be entertained, should be communicated within the specified time frame in a project lifecycle.
Ans. The tools that are considered most helpful in the business analysis process are Microsoft Excel, Microsoft Word, MS Power Point, MS Project, Rational tools, and ERP systems.
Ans. I have sound technical knowledge and can establish a strong relationship with the clients. By the wise use of both these qualities, I can build a user-friendly environment.
Ans. A business analyst has to deal with various kinds of documents as a part of his job. These documents may include Technical Specification document, Functional Specification Document (FSD), System Requirement Document (SRD), Use case diagram, Business requirement document, Requirement Traceability Matrix (RTM), and Test Case.
Ans. The best practices to be followed to write a clear and well-documented use case are:
Properly capture both functional and non-functional requirements in a use case.
Attach use case diagrams along with the use case.
Include the UI details/notes in the use case.
Ans. The fish model takes more time in dealing with requirements in comparison with the V model. The former is also relatively expensive than the latter. The fish model is normally preferred over the V model only when there are no uncertainties in the requirements.
Ans. Scope creep is an obstruction in the way of the success of a project, which could be avoided by taking some important steps in time like:
Ans. Personas are basically social roles accomplished by an actor or character. They are used in place of real users that help the developers and the methodological team in assessing the user behavior in varied situations, with accuracy. The word persona is a Latin word that means character. In the marketing perspective, personas indicate a group of clients or end users. Read More