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ERP SAP Finance & Controlling 5/5 (3)

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20,000.00

SAP FI MODULE IS USED FOR EXTERNAL FINANCIAL ACCOUNTING AND REPORTING. ALL BUSINESS TRANSACTIONS ARE RECORDED AND FINANCIAL STATEMENTS ARE PREPARED AS PER THE LEGAL REQUIREMENTS OF THE PARTICULAR COUNTRY.

22 Sessions
44 Hours



Skills you will master

SAP Environment
ACCOUNTS RECEIVABLE
ACCOUNTS PAYABLE
TAXATION
BANK ACCOUNTING
ASSET ACCOUNTING
FINANCIAL STATEMENT VERSION
DUNNING

UPCOMING BATCHES

Mob : +91-9810600764
Address : M8, Lower ground Floor, Sector 14 OLD DLF Gurgaon 122001
Email : info@palin.co.in

20,000.00

Category:
About The Program

SAP FI MODULE is used for external financial accounting and reporting. all business transactions are recorded and financial statements are prepared as per the legal requirements of the particular country.

FI MODULE is highly integrated in real time with all business functions like purchase, production, sales & distribution, human resources, accounts & finance etc.

FI MODULE provides all financial data for cost accounting and management accounting.

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Career Advisor
Vinit Kumar, Consultant
Palin Delivers real world relevance with activities and assignments that helps students build critical thinking and analytic skills that will transfer to other courses and professional life.
Program Description
FI MODULE IS HIGHLY INTEGRATED IN REAL TIME WITH ALL BUSINESS FUNCTIONS LIKE PURCHASE, PRODUCTION, SALES & DISTRIBUTION, HUMAN RESOURCES, ACCOUNTS & FINANCE ETC. FI MODULE PROVIDES ALL FINANCIAL DATA FOR COST ACCOUNTING AND MANAGEMENT ACCOUNTING.
Curriculum
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   Session 1 - INTRODUCTION TO ERP & SAP

ADVANTAGES OF ERP SOFTWARE, VARIOUS MODULES OF SAP (TECHNICAL & FUNCTIONAL), SAP R/3 ENVIRONMENT, SAP SYSTEM NAVIGATION, FAMILIARIZING WITH THE SOFTWARE.

   Session 2 - ENTERPRISE STRUCTURE/ FI GLOBAL SETTINGS

CREATING THE COMPANY, COMPANY CODE, DEFINING THE, FISCAL YEAR, POSTING PERIODS, FIELD STATUS, DOCUMENT TYPES, DOCUMENT NUMBER RANGES.

   Session 3 - G/L Account

CHART OF ACCOUNTS, G/L ACCOUNT GROUPS, RETAINED EARNINGS, EMPLOYEE TOLERANCE GROUPS.

   Session 4 - GENERAL LEDGER

CREATION OF GENERAL LEDGER MASTER DATA, POSTING OF GENERAL LEDGER ENTRIES, VIEWING G/L ACCOUNT REPORTS, FAST DATA ENTRY, REVERSE DOCUMENT.

   Session 5 - ACCOUNTS RECEIVABLE

RECONCILIATION ACCOUNT, CUSTOMER ACCOUNT GROUPS,CUSTOMER MASTER DATA, POSTING OF CUSTOMER INVOICE,RECORDING CUSTOMER PAYMENTS, SETTING CREDIT LIMITS

   Session 6 - CUSTOMER CREDIT MEMOS

SALES RETURN, VIEWING, CUSTOMER ACCOUNT REPORTS, PARKING/ALTERING/DELETING OF ENTRIES.

   Session 7 - ACCOUNTS PAYABLE

RECONCILIATION ACCOUNT, VENDOR ACCOUNT GROUPS, VENDOR MASTER DATA, POSTING OF VENDOR INVOICE, RECORDING VENDOR PAYMENTS

   Session 8 - VENDOR CREDIT MEMOS

(PURCHASE RETURN), VIEWING VENDOR ACCOUNT REPORTS, PARKING/ALTERING/DELETING OF ENTRIES.

   Session 9 - FOREIGN CURRENCY TRANSACTIONS

SETTINGS FOR FOREIGN EXCHANGE RATES, POSTING ENTRIES IN DIFFERENT FOREIGN CURRENCIES, CHECKING BALANCES FOR GAIN OR LOSS IN FOREIGN CURRENCY TRANSACTIONS.

   Session 10 - TAXATION

SETTINGS FOR TAX RATES ON PURCHASE (INPUT TAX), SETTINGS FOR TAX RATES ON SALES (OUTPUT TAX)

   Session 11 - SETTINGS FOR WITH HOLDING TAX RATES (TDS)

SETTINGS FOR WITH HOLDING TAX RATES (TDS)

   Session 12 - BANK ACCOUNTING

CREATING HOUSE BANK, BANK MASTER DATA

   Session 13 - BANK ACCOUNTING

CREATING CHECK LOTS, ASSIGNING HOUSE BANK TO CUSTOMERS / VENDORS.

   Session 14 - BANK ACCOUNTING

CONFIGURING OUTGOING PAYMENT PROGRAMME, POSTING VENDOR PAYMENT ENTRIES, VIEWING CHECK

   Session 15 - BANK ACCOUNTING

REGISTER (VENDOR PAYMENT RECORDS), CUSTOMER CHECK DEPOSIT.

   Session 16 - BANK RECONCILIATION

CASH JOURNAL

   Session 17 - ASSET ACCOUNTING

CHART OF DEPRICIATION, DEPRICIATION AREAS,ASSET CLASSES, ASSET MASTER DATA

   Session 18 - ASSET ACCOUNTING

ASSET ACQUISITION, DEPRICIATION POSTING RUN,ASSET EXPLORER, ASSET HISTORY SHEET.

   Session 19 - DUNNING (SENDING REMINDERS TO CUSTOMERS)

CONFUGERING SETTINGS FOR DUNNING

   Session 20 - FINANCIAL STATEMENT VERSION

CONFIGURATION FOR PROFIT & LOSS ACCOUNT, BALANCE SHEET

   Session 21 - INTEGRATION

INTEGRATION OF FI MODULE WITH SD, MM MODULES, STANDARD BUSINESS PROCESS:OTC – ORDER-TO-CASH, P2P – PROCUREMENT –TO-PAYMENT, R2R – RECORD TO REPORT

   Session 22 - SAP PROJECTS

ASAP ROADMAP:*PROJECT PREPERATION, *BUSINESS BLUEPRINT, *REALIZATION, *FINAL PREPERATION, *GO LIVE & SUPPORT

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Program Highlights
Instructor-led
Live interactive and classroom training will include the practical approach and assessments on regular basis.
Live Case Study
Domain Specific Live interactive case study using industry specific data, problem statements, solution architecture.
Assignments
Assignments which helps in conceptual understanding, Prepared for interview training & techniques.
Lifetime Access
Class recording, Study material ppt’s, pdf, assignments, datasets, case studies can be accessed through out the lifetime.
24 X 7 Support
We will support If any concern is raised related to the training, assignments, projects, case studies & interview questions.
Certification
After successful completion of the training and case study Palin will certify you as Palin certified SAP Professional
Career Counselor
Avail career guidance and Professional guidance for resume building, unlimited opportunities and interviews.
Trainers

Highly motivated with leadership skills having Master’s Degree. Holds good working experience in different domains like Retail, Banking, Finance etc as Sr. Consultant or Manager level profiles.
FAQ's
   Who can go for Data Science?
Any graduate can go for data science, its independent of qualification. Its more over towards logical rather than technical. We will use more conceptual knowledge rather than the technical knowledge in data science. So who so ever have good logical skills can go for data science.
   What is data science?
Data science is a process of exploring large, complex and varied data sets to reveal hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations to take calculated risks.
   What is future of data scientists?
Annual demand for the fast-growing new roles of data scientist, data developers, and data engineers will reach nearly 700,000 openings by 2020. By 2020, the number of jobs for all US data professionals will increase by 364,000 openings to 2,720,000 according to IBM.
   Pre-requisite for data science?
There is no such prerequisite for data science you might have seen that bachelor's degree in statistics and machine learning are mostly data scientists but it is not a prerequisite to learn data science. However if we familiar with the basic concepts of Math and Statistics like Linear Algebra, Calculus, Probability, etc. will help to learn data science.
   Is this a classroom training or online?
In both of the modes Palin arrange classes, can go in either of that classroom as well as online.
   What are the tools we cover in data science?
We'll cover whole process of data science like initially if we want to fetch some data from traditional database we should have the knowledge of SQL. After fetching Data for data mining, data cleaning or data preparation process Need Excel. After that we import that data into either SAS, R or python, after that for predictive analytics will cover basic stats or modeling techniques. will cover some machine learning algorithms. For report presentation n dashboards will use either clikview or tableau. So data science includes SQL, Excel, SAS, R, Predictive Analytics, Machine learning and tableau.
   Which one is better classroom or online?
Everyone have their own opinion towards classroom or online training. In my point of view online classes are far better than classroom session. Online trainings have more much benefits comparative to classroom like we can easily record the session we can access that session whenever we want. In online session we just need a laptop and internet connection can easily access the classroom.
   After the course for which companies I can apply for?
Most of the organizations are working on data analytics platform Like Mckinsey, Delloitte, mercer, TCS, Accenture, Cognizant, IBM, Amex, RBS, UHG, WNS and many more..
   What are pay packages for fresher in Data Science?
An Entry-Level Data Scientist, IT earns an average salary of Rs 579,714 per year. The highest paying skills associated with this job are Machine Learning, Python, and SQL.
   What is the process for data science?
Will cover whole process of data science like initially if we want to fetch some data from traditional database we should have the knowledge of SQL. After fetching Data for data mining, data cleaning or data preparation process Need Excel. After that we import that data into either SAS, R or python, after that for predictive analytics will cover basic stats or modeling techniques. will cover some machine learning algorithms. For report presentation n dashboards will use either clikview or tableau. So data science includes SQL, Excel, SAS, R, Predictive Analytics, Machine learning and tableau.
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