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04 April 2023

SAS for Banking Analytics

SAS Banking Analytics can help large banking-related businesses or banking industries to solve many consent-related issues. SAS Analytics solutions support the storage of large amounts of data in databases to meet the needs of corporate sectors. Of course, you know that banking sectors never disappear and the financial ecosystem is undergoing drastic changes day by day. Digitalization, fintech, digital banking, blockchain technologies in banking, data privacy, and compliance technologies are all part of this.

Banks of the future will be hyper-intelligent and AI (Artificial Intelligence) that deliver a personalized, trusted customer experience while addressing risk and compliance. SAS Analytics helps you unlock the immense potential of Artificial Intelligence for digital transformation, so with SAS, your future is sure to be bright.

SAS Analytics uses Artificial Intelligence and Machine Learning as well as Cloud Computing technology to help speed up and optimize the data collection and analysis process. Along with optimizing the data collection process, you can optimize the analytics reporting process from SAS. Use systems that integrate data modeling, measurement, and reporting for risk and regulatory management.

In addition, SAS analytics makes it easy to store data for research and get the necessary information from it to make data management more efficient. Banks can improve governance with analytics. SAS analytics provides a risk profile that covers an organization's entire network. This ensures a level of transparency, which is difficult to establish using other means.

SAS Banking Analytics Key Features

Banking data Model

It serves as a single version of Truth covering key areas such as banking, insurance accounts, and investments. Ancient information can be stored at a granular level. Provides a dictionary describing entities for banking data and physical data structures that can be mapped to business needs. Easily deploy to multiple databases including SAS, Microsoft SQL Server, Oracle, Teradata, and DB2. The SAS banking data model provides business data definition to meet the needs of the consumer, corporate, mortgage lending, wealth management, and global banking organizations. Also supports various business analytics for marketing, finance, risk, and compliance.

SAS Data Management for Banking

With unstructured and semi-structured data, it becomes easy to access data in any format, from virtually any system. SAS provides a unified data management framework that automates processes.

SAS provides a unified data management framework that automates processes. It includes data collection, data integration, data validation, and data cleansing. SAS banking and financial analytics software provide the most complete and sophisticated data management capabilities.

SAS data management simplifies the data quality and integration process, integrates data from internal and external sources, and reduces errors and inconsistencies with embedded data quality tools.

Automated analysis and reporting data can be generated without coding or assistance from IT, thus reducing time spent on data generation and more.

Reporting

Provides a web-based, interactive reporting interface for business users. Provides a web-based, interactive reporting interface for business users. Includes query capabilities for all levels of users across multiple BI interfaces. Provides dynamic business visualization tools for interactive data exploration, visual queries, and more. Includes SAS capabilities for data access, reporting, and analysis directly from Microsoft Office including Word, Excel, and PowerPoint.

Business Intelligence

Includes query capabilities for all levels of users across multiple BI interfaces. SAS Business Intelligence can be used to get the right information, search data, create interactive reports, and share reports, making analysis easier and more interesting. You know immediately when something goes wrong and know what to do about it.

SAS Business Intelligence tools are a set of applications that allow you to create and display data for statistics, forecasting, analysis; forecasting, and data mining, and these tools provide interactive visualizations.

SAS in the Banking Industry

SAS Banking analytics solutions

Risk Management

Establish a risk-aware culture. Optimize capital and liquidity. Meet regulatory demands.

Fraud & Financial Crime compliance

Ensure superior detection and protection. Enable better prevention. Meet compliance demands.

Customer experience

Personalize each customer interaction. Gain customers' trust. Create customer experiences that matter.

How Artificial Intelligence can help in Banking

With SAS Artificial Intelligence tools, from fraud to credit to customer experience, AI can increase the speed, accuracy, and effectiveness of human efforts, making banks more responsive and profitable.

With Artificial Intelligence capabilities from SAS, you can do the following:

With SAS embedded Artificial Intelligence, you can provide an accurate and evolving view of the customer journey, integrating data from all sources. Then you can do real-time optimization to increase engagement.

The use of artificial intelligence and machine learning technology can instantly identify fraudulent transactions in any type of banking transaction.

Artificial intelligence and machine learning technologies reduce false positives and increase customer satisfaction while protecting revenue and reducing costs.

Why choose SAS for Financial Management?

Thousands of Financial organizations or institutions around the world trust SAS and use SAS's services. SAS solutions make easy-to-use analytical solutions open source and scalable and integrate your business components. SAS is recognized as the leader in the world of Analytics and recognized as an innovative name in the world's Fast Companies list.

Flexible deployment options – on-premises, cloud, SaaS – offer you options to leverage analytics to deliver faster, more valuable results and deliver your digital transformation projects. By using SAS analytics tools you can access and overlap the data you want.

SAS analytics can handle large amounts of unstructured data such as documents, emails, social media sources, etc. Analytical insights can be gained from this.

SAS for Financial Management Key benefits:

Create a quantum shift for financial and profit analytics across your enterprise.
Strengthen the links between operational and financial plans.
Improve communication and collaboration among plan contributors.
Get on-demand access to actual and planning data.
Publish financial reports faster and more efficiently.
Create more confident plans and more accurate budgets.

SAS Benefits for Financial Institutions

Delighting Customers
Growing Revenue
Stopping losses
Reducing Cost

SAS Artificial Intelligence Solutions for Banking

A) SAS Anti-Money Laundering

SAS Anti-Money Laundering helps you take a risk-based approach to monitor transactions for illegal activity to comply with anti-money laundering (AML) and counter-terrorism measures.

SAS Anti-Money Laundering allows financial institutions to protect their reputation and avoid fines and penalties associated with non-compliance. Its standard analysis routine can examine behavioral analysis monitors for known money laundering risks and unusual behaviors. With underwriting flexibility, companies can quickly adapt to new regulatory expectations and emerging risks.

SAS Anti Money Laundering is designed for AML and CTF compliance departments in financial institutions – regardless of size.

SAS Anti Money Laundering represents the adoption of advanced analytical and investigative techniques that help organizations implement a risk-based approach to money laundering and terrorist financing.

The web-based UI (User Interface) supports anti-money laundering analysts and investigators in managing, investigating, and reporting as needed.

B) SAS Model Risk Management

The complete model life cycle allows clear, enterprise-level visibility, as well as keeping management and regulators up-to-date on model status across all risk categories. Valuable insights can be gained for making accurate risk-related decisions.

SAS Model Risk Management includes the following: Comprehensive risk data management, centralized model inventory, model review, and validation, data governance and metadata management, model usage tracking and change management capabilities, and dashboards.

C) SAS Credit Scoring

SAS Credit Scoring lets you develop, deploy, validate, and track credit scorecards while improving model risk and governance with data management functions, data mining, and reporting capabilities.

A credit score card can be developed and tracked cheaper and more flexibly than any outsourcing alternative.

D) SAS Data Preparation

Quickly prepare data for analytics using machine learning and AI suggestions – without coding, needing specialized skills, or relying on IT. SAS Data Preparation provides an interactive, automated environment for users to prepare and access, blend, shape, and clean data for reporting and analysis.

SAS Data Preparation saves the work done to prepare data for reporting and analysis. Its interface provides point-and-click actions for critical tasks, requiring no coding or SQL skills.

SAS Data Preparation Key Features

Data access, preparation & quality
Customized chatbot creation
Data visualization
Data access from multiple sources
Ability to code
Data Quality Integration
Memory processing of data
Integration into analytics
AIML suggestions
Cloud Native

SAS Data Preparation key benefits are-

Increase efficiency
Increase the certainty of analytics platforms
Supports migration of cloud services
Optimize data analytics platform
Be more productive by working autonomously
Prepare data faster so you're ready for action
Collaborate with other team members

E) SAS Fraud Management

SAS Fraud Management is a full-service, enterprise solution with monitoring capabilities on a single platform and is a fraud solution that provides 100% real-time scoring and decision-making capabilities based on all transaction changes.

SAS Fraud Management Key Features are-

Real-time scoring & decisioning
Enterprise solution on a single platform
System administration & maintenance
Simplified data management
Industry-leading advanced analytics & embedded machine learning
Alert Management

SAS Fraud Management challenges

Emerging fraud trends
Growing complexity
Technology Limitations
Divorce Data sources
Evolving Compliance demands

SAS Fraud Management Key Benefits

Make Faster, Better-Informed, Risk-Based Decisions
Gain a Holistic, Customer-Centric View of Fraud
Advanced Analytics for Achieving the Highest Levels of Fraud Detection
100 Percent, Real-Time Scoring of All Transactions
Hybrid Models

SAS Fraud Management solutions

On-demand, real-time scoring of all transactions
Sub-second response time
Powerful advanced analytics
Seamless, real-time hot-listing
Extensive rule-writing capabilities
Powerful reporting capabilities
Robust, flexible alert and case management

F) SAS Visual Data Mining and Machine Learning

SAS Visual Data Mining and Machine Learning combine data exploration, visualization, feature engineering, statistics, data mining, and machine learning technologies into an integrated in-memory processing environment.

Provides fast, accurate, secure analytics management and administration of complex business problems.

It enables data scientists and others to solve previously infeasible business problems by overcoming barriers caused by data size, data diversity, limited analytical depth, and computational bottlenecks.

SAS visual data mining and machine learning are designed for those who use powerful and in-memory algorithms in a programming interface to analyze big data and uncover new insights quickly. These include business analysts, data scientists, engineers, researchers, and statisticians.

SAS Visual Data Mining and Machine Learning Key Benefits are -

Solve complex analytical problems faster
Boost the productivity of your data scientists
Explore multiple approaches to find optimal solutions
Empower users with language options
Use interactive interfaces for common machine-learning tasks
Quickly deploy your predictive models with automatically generated SAS score code

SAS Visual Data Mining and Machine Learning Key Features are-

Interactive, web-based visual and programming interfaces
Highly scalable, in-memory analytical processing
Analytical data preparation
Data exploration, feature engineering, and dimension reduction
Model development with statistical algorithms
Model development with modern machine-learning algorithms
Integrated text analytics
Model assessment and scoring

Top SAS Innovations in the banking Sector

Phygital Banking
Artificial Intelligence and AML against crimes
A better understanding of the risks
Neobanks and Fintech
the crypto market
Analytics and cloud for banking
The dataverse and the metaverse
Equity and financial inclusion
Risks and climate change
Open banking and the new data

Retail Banking Innovations in 2023

Mobile Banking
Online Banking
Virtual assistance
Contactless Payment system
Personal financial management tools

Which SAS Certification Helps us to a career in the banking sector?

The SAS Financial Data analyst certification Course is best for financial and banking professionals. SAS for Finance gives you the opportunity to leverage the power of SAS analytics to redefine your data. Filled with real-world examples from leading financial institutions; the authors discuss statistical models using time series data to solve business solutions.

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. Learn to prepare reports for internal and external audiences using business analytics reporting tools. Create data dashboards, graphs, and visualizations.

Who should learn?

Non-engineering/MBA/Masters/Graduate in Finance

Statistical knowledge required

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.

Why Get SAS Certified

Prove your Prospects

Your SAS Global Certification proves that you have trained from SAS Certified Professional Experts, and these Certifications are globally recognized you can mention them on your resume so that job opportunities are easily available.

Achieve your career Preference

An analysis conducted by Indeed over the past year has shown that skills and job opportunities in SAS Programming are growing rapidly. In the next 10 years, SAS Jobs opportunities will increase. So you can get new opportunities in today's jobs market by learning and validating your SAS Skills with certification.

In today's era, many big companies use SAS tools for their business analysis. Hence, SAS skills will be valuable for students who want to pursue a career in SAS. Also, if you get a digital badge of skills in Data

Science, Big Data Analytics, your experience in using SAS Tools will increase and you will be able to perform your duties with excellence.

Earn a SAS Digital Badge

If you learn SAS skills and get certified, you get a Digital Badge. You can share this digital badge on your social media profile so that employers can easily provide you with job opportunities in SAS and you can perform well.

By earning a Digital Badge for certification, students can position themselves to advance their careers in advanced analytics, multivariate analytics, business intelligence, criminal investigation, and predictive analytics knowledge and skills.

What will you learn in SAS Financial Data Analyst?

Base SAS Programming

SAS Programming 1: Essentials

Programming II: Data Manipulation Techniques

Macro

SAS Macro Language 1: Essentials

SQL

SAS Predictive Modeling Certification

SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

Applied Analytics Using SAS Enterprise Miner

SAS Visual Analytics 1
SAS Visual Analytics 2
SAS Solutions for Risk and IFRS overview

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

SAS Future Demand

SAS is the Leader in Analytics World. SAS is the Leader in Analytics World. SAS Financial Data Analytics as well as Programming will be in high demand in the future. Big companies are using analytics to improve customer loyalty and create unique offers.

There's no doubt about it - the adoption of Data Analytics in all kinds of different industries is making their business processes and proper planning easier and also the Data Analysts can easily identify future predictions. This means that graduates with analytical skills will enjoy high-paying jobs.

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. Learn to prepare reports for internal and external audiences using business analytics reporting tools. Create data dashboards, graphs, and visualizations.

There are kinds of certification courses available in SAS. SAS Global Certification Training provider offers world-class training. Review your requirements and Book your certification course online.