The document discusses the importance of data analytics in various industries, especially in banking and finance, highlighting how SAS software is utilized for business intelligence, predictive analytics, and risk management. It details the SAS financial data analyst certification program, including its prerequisites, courses, and job prospects. The document emphasizes the growing reliance on SAS tools for ensuring effective financial operations and adapting to technological changes in the sector.

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About Data Analytics –
Data analytics helps companies implement business models
and reduce costs by identifying new trends and efficient ways
to deliver better products and services.
Data analytics can be in 4 ways that are Descriptive analytics,
Diagnostic analytics, Predictive analytics, prescriptive analytics,
etc.
Data Analytics enables SAS experts to process structured or
unstructured data to gain insights.
Data Analytics allows the finance team to explore key metrics
and spot fraud in revenue streams.
Data analytics Industry Sectors are- Finance and Banking,
Telecommunications and Media, Sports, Healthcare and
Pharmaceutical Organizations, Agriculture, Sports sectors,
Education, Transportation, Manufacturing Industry, Energy and
Utilities, Real Estate and property management, Government
and public sector, Consumer Trade, etc.

3. Why SAS financial Data Analyst
SAS Software is most widely used in the Data Analytics field.
SAS in Banking, Financial Services and Insurance - Facts and
Figures.
• 4000+ financial services and insurance companies use SAS
worldwide.
• 90% of the top 100 global banks use SAS, and 90% of
insurance companies in the Fortune Global 500 rely on SAS.
• Banks in 92 countries and 47 of the top 50 largest global
insurance companies rely on SAS.
• Banking and insurance analytics solutions from SAS with
data management, predictive analytics, and embedded AI
capabilities are helping to address various strategic business
needs.

4. • From Business Intelligence, Data Management, and Data
Science to Artificial Intelligence and Machine Learning, SAS
is at the forefront of analytics.
• The job postings of SAS have been increasing rapidly for the
past few years. SAS is listed as a desired skill.
Who can Learn SAS financial Data Analyst?
Non-engineering/MBA/Masters/Graduate in Finance
Educational Qualification: BCOM, MCOM, BBA, MBA, BTECH,
MTECH
Master’s degree in Management / Finance / Mathematics /
Statistics / Operation can apply for SAS Financial Data Analytics
Certification Course
Prerequisites for SAS finance Data analyst
This course addresses Base SAS, SAS Data Integration Studio,
SAS Visual Analytics, SAS Solution for IFRS 17 software.

5. SAS Financial Data Analyst Certification Include Courses
• Base SAS Programming
SAS Programming 1: Essentials
Programming II: Data Manipulation Techniques
• Macro
SAS Macro Language 1: Essentials
• SQL (structured Query Language)
• SAS Predictive Modeling Certification
SAS Enterprise Guide: ANOVA, Regression, and Logistic
Regression
Applied Analytics Using SAS Enterprise Miner
• SAS Visual Analytics 1 for SAS Viya: Basics & Advanced
SAS Visual Analytics1
SAS Visual Analytics 2
• SAS Solutions for Risk and IFRS overview

6. Exam Credentials for SAS financial Data analyst
Certification Details: SAS Certified Specialist: Base Programming
Using SAS 9.4 (Exam id A00-231) SAS Certified Specialist: SAS
Visual Analytics using SAS Viya (Exam ID A00-470)
SAS Certified Predictive Modeler Using SAS Enterprise Miner 14
(Exam ID A00-255)
Job Profiles for SAS financial Data Analyst
• SAS Financial Data Analyst
• Financial Analyst – Analytics & Reporting
• Health Care Financial Analyst
• Finance Manager
• Team Lead, Operations
• Data Analyst (Statistician)
• SAS Data Engineer
• Lead Fraud/Risk Analyst
• SAS Credit Risk Analyst
• Sr Analyst – Risk Management
• Lead Business Analyst

7. SAS in Banking Analytics
Banking sector is never ending so in financial banking radical
changes are taking place. This includes technologies like
digitization, fintech, open banking system, regulatory
compliance, and data privacy.
SAS analytics tools help big banks, AI-powered organizations
get reliable customers and insights so they can meet risk and
compliance mandates.
SAS AI Tools make digital transformation easy. Surely your
future is assured with SAS Artificial Intelligence.
SAS Banking analytics can help solve problems in large
enterprises. Also become equipped to meet and handle the
needs of corporations.

9. SAS in Banking Analytics
Banking sector is never ending so in financial banking radical
changes are taking place. This includes technologies like
digitization, fintech, open banking system, regulatory
compliance, and data privacy.
SAS analytics tools help big banks, AI-powered organizations
get reliable customers and insights so they can meet risk and
compliance mandates.
SAS AI Tools make digital transformation easy. Surely your
future is assured with SAS Artificial Intelligence.
SAS Banking analytics can help solve problems in large
enterprises. Also become equipped to meet and handle the
needs of corporations.
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Benefits of SAS in Banking Sector
• Provides clear and structured information
The data you need when and where to use the data will give
you confidence in the accuracy of your data. Also that data is
easy to use in the business sector, web based reporting can
easily communicate business information to the right people.
• Get a entire, integrated view of all your enterprise data
It covers key banking topics such as customers, products, tools,
analytics, financial accounting, and management. Banking
sector is never ending so in financial banking Radical changes
are taking place.

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SAS for Banking Analytics
solutions

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SAS in Financial Analytics
SAS software is used to enable financial operations to be more
effective. It is done to ensure the accuracy of financial plans,
budgets, and reports as well as accurate estimation of risks.
This enables the company to quickly integrate, develop
accurate budgeting and diversification, and understand
revenue costs and profitability better.
SAS Software is mainly used in large companies to carry out
financial operations effectively.
The role of the SAS Finance Data Analyst is important in these
financial operations.
Considering the important aspects of the financial industry, SAS
has developed a Data Analytics system to overcome it. This
system allows financial institutions to operate more gracefully
and discover new opportunities in uncertain business
processes.

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Conclusion:
The conclusion is that financial analysis is an important tool in
large companies which are used to keep the company's
operations running smoothly.
This will help the business to adapt to the trends affecting its
operations. If you’ve been looking to get into a career in SAS
financial data Analytics Learn with Aspire Techsoft SAS Financial
Data Analyst Certification training in Pune.
In this course, you will learn to manipulate, analyze and
interpret complex data sets relating to the employer's business.
This includes data mining skills, advanced modeling techniques,
and business visualization which conveys information in a
universal manner and makes it simple to share ideas with
others.

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Learn to prepare reports for internal and external audiences
using business analytics reporting tools. Create data
dashboards, graphs, and visualizations.
Candidates can learn the Complete SAS Business Analytics –
Predictive & Financial Data Analyst Course in Pune which
includes Base SAS, SAS Data Integration Studio, SAS Visual
Analytics, and SAS Solution for IFRS 17 software Training with
SAS Certified Experts.