BUSINESS ANALYTICS

BUSINESS ANALYTICS

Business analytics (BA) is the culture of the organization are often methodical, scientific data, with emphasis on statistical analysis. Analytics used by business decision-making based on the response data.

BA used to gain insights that inform business decisions can be used to automate and optimize business processes. Data companies treat data as a corporate asset and exploit them for competitive advantage. Analysts successful business depends on the quality of the data, analysts and professionals who understand technology and business decisions based organization dedicated to the data.

Examples of businessAnalysis 

Technology business is broken down in two main areas. Initially, the trade secret base. This includes the study of historical data to get a sense of how the business sector, or a member of staff is carried out in a specified time. The culture of the company up to restrict the application.

another area of ​​business analysis involves deeper analysis of the statistics. This may Analytics predicted using statistical algorithms to historical data to predict future trends in the effectiveness of a product, service or website. You can also refer to other analytical techniques, such as cluster analysis of categorizing customers based on the same number of data points. This could be, for example, marketing campaigns and targeted.

Special type of business, including:

• Descriptive analysis of the key indicators in the following in order to understand the current state of the company,

• Predictive Analytics to analyze trend data to assess the likelihood of future results; in

• Analysis loaded with past performance to advice about how to deal with similar situations in the future.

In both parts of the business Analytics - Analytics business intelligence and high - sometimes used, there are some key differences between the two techniques in business analytics:

Business and science data analysis

The more advanced the field of business starts to look like a science data, but different. Although the type of data using statistical algorithms, it does not mean that the science of data involved. There are several tools for business analytics, which can be made directly to the different types of activities and need some special skills related to information science.

Scientific data contains additional custom code and a number of unresolved issues. Data scientists generally do not provide a solution to the problem, but such a business analyst. Instead, it will explore the data using statistical methods that enable high with work on the analysis of data.

business  Analytics application 

business analysis tools come in various forms:

• Photographic Equipment

• The trade report

• self-service analytic platform

• statistical analysis tools

• The main data

Samopostrežnost the significant changes of the business equipment Analytics. Users now have software that is easy to use and does not require special training. This led to the rise of companies such as lamps and furniture and Qlik, and others. PC tools can be installed on a single server environments or applications used by small businesses. Once started, business analysts and others with special training can be used to generate a report about, graphic and web portals to monitor track data sets specific.

When you determine the business goals of the selected analytical methods and get information to support the analysis. data acquisition often involves the acquisition of one or more operating systems, data cleansing and integration into a single repository, such as a data warehouse or data brokers. The analysis is usually performed by a small sample of data.

Analytics tools of spreadsheets and accounting tasks to complex data and applications from design trends. Because the pattern of relationships in the data to identify new questions, analytic process is repeated until reaching business goals.

introduction of model predictions including scoring record data - usually in a database - using the results to optimize decisions in real-time applications and business processes. BA also supports tactical decision as a response to unexpected events. And in some cases, the automatic decision making to support response

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