The term data analysis refers to the process of inspecting, transforming, cleansing and modeling data with an intention of supporting decision making process as well as discovering useful information. Companies do not only need data analysis concepts but also the business analysis which is a critical component to the success of a business as it identifies a business needs and finds the solutions to the problems. Some of the immediate solutions to a problem include the use of a software system component. In addition, business can use policy development, organizational change, process improvement as well as strategic panning.
A business analyst is an individual whose job is to carry out the business analysis procedure whereas data analysts specialize in examination. The business analyst is charged with the following responsibilities, these include evaluating actions and improving the operations of a company’s system, documenting the business requirements for the information technology systems of a business using the appropriate documentation standards as well as investigating business systems using the required procedures.
The following are the main disciplines of business analysis , these include requirement planning and management, enterprise analysis, requirement elicitation, requirement analysis and documentation, solution assessment and validation, as well as requirements communication.
Enterprise analysis, for instance, concentrate on comprehending the needs of a company and initiative that will make the business to meet the strategic goals. Enterprise analysis is vital since it carries out the following roles including carrying out the initial risk assessment, defining new business opportunities, steering feasibility studies, making and upholding the business architecture, defining new business opportunities, as well as making the business case.
Knowledge of data analysis is critical since it enables people to tackle a problem by diving it into various units for easier assessment. In addition, it involves obtaining raw data and changing it into essential information for decision-making process.
Data analysis as a process has three main different phases these include data collection, data processing and data cleaning. The following are the main source of data, these include sources such as recording devices, camera, people, among others.
The following are the reason as to why business should use both data and business analysis. First and foremost, the analysis encourages proactive and anticipation of business needs. The effective data collection in conjunction with analytical skills assist a business to deliver relevant products.
A business operation efficiency can be improved using data and business analysis skills. The other techniques applied include in field operation , improve efficiency as well as productivity.
In addition to boosting performance and productivity in a business, the techniques are also vital in curbing security and fraud threat within an organization. For a company to protect its financial and intellectual assets, it needs to use both the business and data analysis techniques in its operations.