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PROCESS ANALYTICS IN SAS TECHNOLOGY BUSINESS PLANNING

A business analyst is a highly skilled specialist in the automation of a company’s business processes. It also keeps up to date the software they need. The specialty of the analyst in the diploma is quite diverse. Therefore, business analytics is often done by people without special education, programmers themselves. This gives its “results” – various inconsistencies, inadequacy, instability, and analytic contradictions appear. Therefore, having a trained system or subject analyst is important. Similarly, analysts themselves should have a “strong” modern knowledge of the business.

SAS ANALYTICAL REQUIREMENT REQUIREMENT
SAS analytic tasks.
The best solution is MBA training. Please note: foreign MBA courses will require the necessary minimum of English (for example, Toefl).

A business analyst is capable, obligated:

Understand not only the business project itself, but also automation tools.
Understand the needs of the client, the task at hand.
It’s good if he is an applied computer scientist (mathematician) who has received additional business education, for example, having an MBA degree. Such a specialist will be well acquainted with analytical systems, programs, standards, instrumental environments, transactions (SAS, MS Visio, IDEF, SQL, ERP, etc.).

What competencies do business intelligence learners get?

We attribute to them a priority list.

Professional communication with clients, collection and analysis of primary information, conducting business correspondence, negotiations, supporting the completeness and relevance of documentation in accordance with office work standards (XML, MS Office, etc.).
Conducting effective corporate, team work.
Definitions of the list, priorities and goals of automated processes, their models (“B2B”, “B2C”, “S2B”, etc.).
Business planning cannot be carried out without a relevant strategy.

ROLE OF ANALYTICS IN THE ENVIRONMENT OF A BUSINESS PROJECT
The success of a business depends on how well it is backed by analytics. For understanding, we can draw a metaphorical analogy of an analyst with a scout on the battlefield of a business. At all times and even 2000 years ago, as described in the book “The Art of Winning” by the great Chinese commander Sun Tzu: scouts are the highest paid soldiers.

For business leaders, it is really important to research and understand the essence of the current line of business and understand it completely in order to defeat competitors and gain a monopoly in their market. Indeed, by its nature, any market strives for monopoly and sooner or later only one market operator will remain (well, or top 3 as in big sport). It can rightly be argued that business intelligence (BI) and intelligence (IA) should not be separated by business opportunities. Rather, BI should be well known to the managers who actually run the business.

ADVANTAGES OF SAS AUTOMATED ANALYTICAL SYSTEMS
SAS (Statistical Analysis System) is a business analytics toolkit that facilitates reporting, data analysis, modeling, visualization, and interactivity.

SAS offers solutions for large enterprises to explore their Big Data in a visually appealing format. System analytics is a data analysis tool that is increasingly used in applications (for example, BI). It not only equips the organization with all the necessary tools for monitoring key BI indicators, but also provides powerful analytics and reports for decision-making.

SAS Analytics is a tool that is increasingly being used in DataScience, MachineLearning, and BusinessIntelligence.

SAS ANALYTICAL TASKS
Basic BI tasks:

visual data research;
simple understanding of complex data;
application of patterns;
trend analysis;
exploring opportunities;
determination of correlation;
point visualizations and trends;
prediction (forecast) of results, trends;
interactive panels;
creation of reports, simple, created by the leaders themselves;
data updating (merging, filtering, transformation, etc.);
easy integration with MS Excel, MS Outlook, etc .;
access to SAS, distribution of reports in the Microsoft Office environment;
mobile use (iOS, Android applications);
easy business monitoring anywhere, 24/7, etc.
PRACTICAL APPLICATION OF SAS IN BUSINESS
Implementing SAS helps create powerful insights into Big Data Enterprise analysis. Users themselves can draw conclusions from analytics, thereby unloading the IT group from this process. This tool allows them to:

identify trends;
identify spot correlations of data;
isolate statistical outliers and anomalies;
implement exceptions;
identify cause-effect.
Benefits of SAS data visualization:

Visual tools analyze big data and present them in the form of graphs, charts and other attractive effects, thereby facilitating the possibility of output.

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