BROKERAGE BSDA Regulatory Reporting for Brokerage Firms The Problem Scrutiny...
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- All
- Reconciliation Processing
- Regulatory Reporting
- Financial Modelling
- Brokerage & Commission Calculation
- Operational Reporting
- Limit Monitoring
- Data Repository
- Reporting in Multiple Formats
Anti-Money Laundering.
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Read MoreCredit Limit Decrease
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Read MoreCheque Book Issuance
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Read MoreAutomatic Web-Based Application – Internal Audit Reports
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Read MoreBrokerage Statement Download
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Read More4 Benefits Of Loan Reconciliation Automation For Banks
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Read MoreGeneral Ledger Reconciliation – Definition, Importance, Process, & Example
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Read MoreRent Reconciliation
BANKING Rent Reconciliation Rent Reconciliation is a process in which last...
Read MorePO Generation & Reconciliation
BANKING PO Generation & Reconciliation Introduction A purchase order (PO)...
Read MoreATM Transaction Reconciliation
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INSURANCE SI ECS Status Tracker Introduction A Standing Instruction (SI) is...
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Read MoreAnti-Money Laundering.
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Read MoreExcess Refund Settlement
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Read MoreCredit Limit Decrease
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Read MoreBudget Utilization Report
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Read MoreAutomated Form Filler
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Read MoreCheque Book Issuance
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Read MoreChannel Persistency: Dues vs Collection
INSURANCE Channel Persistency: Dues vs Collection Persistency refers to the...
Read MoreAutomatic Web-Based Application – Internal Audit Reports
BANKING Automatic Web-Based Application – Internal Audit Reports Definition An...
Read MoreBrokerage Statement Download
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Read MoreAccurate and Errorless Reports – Claim Processing
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Read MoreParallel NAV Computation for Mutual Funds and Asset Management Firms.
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Read MoreTotal Expense Ratio Reconciliation And Update As Per SEBI
MUTUAL FUND Total Expense Ratio Reconciliation And Update As Per...
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Read MoreAnti-Money Laundering.
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In-Built Validations and Master Database Creation – Administration Distribution Cycle

Organize and Facilitate – Ticketing Systems

Aditya Birla BizLabs winner SheetKraft felicitated by Padma Shri Mohandas Pai

Accurate and Errorless Reports – Claim Processing

Voting System (For Broker’s Rating)

Flexible Use and Positive Performance Impact – Key Result Area (KRA) Dashboard

Brokerage Statement Download

Automatic Web-Based Application – Internal Audit Reports

Channel Persistency: Dues vs Collection

Cheque Book Issuance

Automated Form Filler

Budget Utilization Report
Reconciliation between transaction data and bank statements
Reconciliation between brokerage sent by R&T agent and brokerage firms

Reconciliation between purchase order and invoices raised by the vendor

- 12 man hours to 30 minutes per day: Bank reconciliation with 40 banks
- 120 man-days annual savings: PMS brokerage reconciliation with CAMS
- 8 man-hours to 3 minutes a day: Purchase order invoice reconciliation
- 6 Man-Hours per day to Few Seconds: High-Risk Regulatory Reports at Primary Dealership - PDR I, II, III & IV
- 10 Man-Hours per day to Few Minutes: Capital Provision for Unhedged Foreign Currency Exchange Reports at Banks
- 4 Man-Hours per day to Few Minutes: TER Change Reports in Asset Management
MDR reversal vouchers and a summary report are to be prepared which shows the list of merchants that are eligible for MDR cashback as well as those merchants who are not eligible for the MDR Cashback with relevant rejection remarks. The reports are being generated on a monthly basis by the operations team. The whole process is complex since it involves data mapping from various sources & calculating the MDR reversal amount. If the MDR reversal amount is not calculated properly & the merchant is credited less or more than the actual amount then it can lead to poor customer service & financial discrepancies. The process takes the productive hours of the team to generate the reports. The client’s team who generates the reports proposed automation and chose SheetKraft as the automation partner in order to optimize the process.
- The operations team was dependent on the central DB team to extract data from various database tables.
- Data is extracted from table 1 by specifying some eligibility criteria in the where clause of SQL query. After data from table 1 is extracted, it is passed in some other SQL query and executed again. This is done 7 to 8 times to arrive at the final dataset of eligible merchants. Extracting this data from the database tables is quite a tedious task as it takes a very long time for the queries to execute.
- After fetching the data, the team had to apply various checks & filter conditions in order to generate all the reports. Since the transaction volume is large the team faces issues in generating the files since they’re dependent on excel.
This process is an end-to-end process and no human intervention is needed. Since various triggers are created using SheetKraft which are as follows:
- The activity will autorun at a specific date and at a specific time every month which is pre-defined by the business team.
- The process defined using SheetKraft will extract data from the various database tables and perform multiple calculations & checks along with graphical formatting of the output data.
- The output file which consists of the list of eligible and ineligible merchants for MDR cashback will be shared with the business team and the TTUM file which is generated will be directly uploaded in the Finacle system & shared with stakeholders via email.
- Emails will be sent to eligible as well as ineligible merchants with details of transactions for which they’ll be getting the MDR cashback or the file with details of transactions & appropriate rejection remarks due to which cashback was not given.
- Manual process involves high risk and high chances of error i.e., data being misplaced or some formulas with incorrect references might be used which is eliminated after onboarding SheetKraft.
- The operations team required around three days per month for the report generation but after onboarding SheetKraft it can be generated in 30 minutes.
- This in turn saves a good amount of time since no manual intervention is needed and also eliminates the risk of errors.
- Reports with summarized details of transactions and timely processing of MDR cashback encouraged merchants to accept various digital payments and this, in turn, increased transaction volumes for the payment gateway.
A leading bank performed general ledger reconciliation manually - it took a lot of time – several hours each day.
During the scoping process, we realized that one of the biggest challenges that our client was facing was a dependency on excel for a large amount of data.
We wanted to eliminate that and get the results quickly without the effort of fetching and compiling data from different sources.
- Huge Data Volume – A large amount of data saved in excel slows down the process and takes a lot of time to generate the desired output.
- Varied Dataset – The data is stored in different files having multiple formats, making it exhausting to compile or compare.
- Complex transaction relations – Due to complicated internal processes and various data sources and formats, transaction relations turn into a labyrinth – one-to-one, one-to-many, many-to-many.
Benefits Of Automated General Ledger Reconciliation Automated general ledger reconciliation can get rid of all the complexities that are a part of the process and make it faster, easier, and error-free.
A good general ledger reconciliation automation software will also provide a customized solution based on unique reconciliation requirements.
Also, automatically run the reconciliation process in the background whenever needed to generate the output.
Additionally, automation software that can easily store large amounts of data in a database will be extremely useful to access easily whenever required.
How Did SheetKraft Help In Automating General Ledger Reconciliation Reports?


or PDF Reports
- More than 3 Hours to Less than 3 Minutes per Day: Reduction in Manual Effort using Fast and Accurate Performance Dashboards
- 2 Man-Days Monthly to a Click of a Button: Budget Utilisation Reports on one dashboard
- 100% No Manual Errors
- 8 Hours to 15-30 Minutes: Entire End-to-End Process of the Delegation of Power Systems
- Manual processing claims within a fixed period (generally 3 days) for insurance companies is challenging.
- As rule sets differ for policies, the accurate calculation of the claim amount is prone to errors.
- The data dumps containing the list of claims requested are fetched by the system. Policies are tagged as pending, approved, closed, and rejected based on their status and request reasons.
- Predefined sets of logic for each policy category are fetched, and calculations regarding claim amount, Industry type, and MFI Non-MFI tag is performed.
- Policies are then collated to create a consolidated report ready to be used by the stakeholders.
These dashboards will help budget owners and management to keep track of the total amount spent in a given time period and help to make better-informed decisions for further spending.
The ageing dashboard will show the unpaid invoice balances along with the duration for which they have been outstanding. It helps to identify the customers that are late in paying their invoices. Tracking the ageing dashboard monthly will help to identify the problems before they become a cash-flow crunch for business. This is used in Asset management companies.
- All the data, required for generating these reports at the organizational level and for different teams, is spread across various tables in the spend management software. This data includes POs (purchase order) raised against an expense, invoices received for all services availed and payments made from each budget code. Users must manually fetch this data from multiple tables and then structure it in a standardized format.
- After that, the user calculates the Allocated Amount, PO Amount, Utility Amount, Consumed Amount, Unconsumed Amount and Invoice Amount for the organisational level and each team/department level.
- Processing complexities include many invoices raised against a single PO (Purchase Order), payment made against an invoice without a PO issued etc., which is easily missed by users in manual calculations.
- Due to extensive data, it was challenging to gather the data from multiple sources, structure it in a standardised format and perform analysis in excel.
- This process is performed only once a month, but it takes 1-2 days to complete.
- Using SheetKraft, all the data required for generating these reports and dashboards are directly fetched from the spend management software (Expensing DB).
- The whole process is set as per pre-defined rules and logic provided by the business users and is hosted on a web UI
- It hardly takes any time to generate the required reports.
- Business users are given access to the SheetKraft UI, and with a click of a button, users can generate these reports on demand.
- The manual process was time-consuming, but after using SheetKraft, the users can get the budget utilisation reports within minutes.
- Dependence on different teams to generate an organisation-level utilisation dashboard removed with SheetKraft automation.
- Monthly 2 man-days of efforts reduced to a simple click of a button.
- Any chances of manual errors in computation and validation checks are eliminated.

- Data collation : The information such as credit history data, current balance and specific card issued along with their relative limits allocated is received from various sources and combined together for further calculation.
- Data computation : Checks and validations are applied as per the company’s predefined limit policies and the latest limit values are provided.
- Latest limit upload : Currently approved limit values for all users are stored and updated in the bank system for the bank’s review.
Errors are obvious when a process involves manual intervention. Following are some of the notable problems with the manual process:
- Data discrepancies : Exact figures are required for bank reviews, errors in numbers will surely mislead interpretation.
- Heavy data volume : Processing time is directly proportional to the amount of data. More the data, more the consumption.
- Varied dataset : Data from different sources do not follow a specific structure. Data structuring takes time and effort.
- Automated Credit Limit Decrease process got rid of all the difficulties faced by the bank, also making it resource-free, error-free, and faster.
- Huge amount of data can be stored in the database and the latest data can be retrieved when required.
- Personalized solutions were provided leading to data interpretation cut-off from the bank’s end.

Total Expense Ratio Reconciliation
They approached our team to automate the process. Our team understood the process, client requirements, and reporting errors due to manual efforts.
The business logic was slightly tricky. The process also included automatically reading emails and fetching attachments and mobile operations among others.
But reconciliation is one of SheetKraft’s forte, so our team successfully fed the logic into the system.
The values in the file are then reconciled with the values stored in their database. This needs to be done for all the funds that the AMC has.

These departments would fix the data with correct values after checking the report. Once the modified Total Expense Ratio report is generated, it is uploaded to the website.

SheetKraft also checks for the new and matured fund scheme. The new schemes are added, and the matured ones are removed from the Total Expense Ratio report.
An updated report is generated for all the schemes. This report also highlights the value mismatch between the file received and the database which is then forwarded to the concerned department. The respective departments then correct the errors if any and approves them.
Post-approval, the report is sent in a set format. An interesting thing about this report is that it lets a user verify the data using their mobile devices. The error list is mentioned in the email, making it easy for the verifier to verify the data report.

Brokerage Statement Downloads to Data Warehouse
Distributors very often miss the expiry deadline of the link and this issue is very common in the industry and affects around 40,000 distributors associated with more than 350 branches and call centres for our client.

Now in a case where the distributor forgets downloading the statement within the expiration of the link and requests the relationship manager for the account statement; The relationship manager inputs the distributor details in the SheetKraft UI, SheetKraft processes the data and automatically emails the requested report to the distributor, This turnaround time once the distributor details are entered in the SheetKraft UI is around 4seconds.

Reduction in Manual Effort using Fast and Accurate Performance Dashboards
These daily reports reflect the expected monthly dues, the target set for a particular branch and the % of the target achieved as well as the % of total expected dues collected. These reports highlight the branches that have a below-average achieved % and strike rate so that measures can be taken to improve the performance of these branches.
- These dashboards are created and mailed to the Branch heads daily. The timely and accurate calculation and tracking of these performance metrics is a difficult task.
- The complexity of the dashboards combined with the processing of the huge set of raw data makes the whole process prone to manual errors.
- Mapping of monthly targets basis zone, region, and the branch to the consolidated file containing details of due policies.
- Identification of policies whose premium was collected daily.
- Creation of zone, region, and branch level dashboards to display metrics as total dues expected, target set, dues collected, target achieved %, and strike rate %.
- Storage of premium payment(revival) history of policies daily.
- Mail notifications to Branch heads of underperforming branches.
- Maintenance of a centralized database of premium payment data.
- The system has driven a fast and accurate generation of performance dashboards.
- Identification of underperforming branches and daily notification to the respective branch heads.
- Reduction in manual effort from >3 hours/day to <3 mins/day.
Budget Utilisation Reports on one dashboard
These dashboards will help budget owners and management to keep track of the total amount spent in a given time period and help to make better-informed decisions for further spending.
The aging dashboard will show the unpaid invoice balances along with the duration for which they have been outstanding. It helps to identify the customers that are late in paying their invoices. Tracking the aging dashboard monthly will help to identify the problems before they become a cash-flow crunch to business. This is used in Asset management companies.
- All the data, required for generating these reports at the organizational level and for different teams, is spread across various tables in the spend management software. This data includes POs (purchase order) raised against an expense, invoices received for all services availed and payments made from each budget code. Users must manually fetch this data from multiple tables and then structure it in a standardized format.
- After that, the user calculates the Allocated Amount, PO Amount, Utility Amount, Consumed Amount, Unconsumed Amount and Invoice Amount for organizational level and each team/department level.
- Processing complexities include many invoices raised against a single PO (Purchase Order), payment made against an invoice without a PO issued etc., which is easily missed by users in manual calculations.
- Due to large data, it was difficult to gather the data from multiple sources, structure it in a standardized format and perform analysis in excel.
- This process is performed only once a month, but it took 1-2 days to complete.
- Using SheetKraft, all the data required for generating these reports and dashboards are directly fetched from the spend management software (Expensing DB).
- The whole process is set as per pre-defined rules and logic provided by the business users and is hosted on a web UI
- It hardly takes any time to generate the required reports.
- Business users are given access to the SheetKraft UI and with a click of a button, users can generate these reports on demand.
- The manual process was time-consuming but after using SheetKraft the users can get the budget utilization reports within minutes.
- Dependence on different teams to generate organization level utilization dashboard removed with SheetKraft automation.
- Monthly 2 man-days of efforts reduced to a simple click of a button.
- Any chances of manual errors in computation and validation checks are eliminated.
Entire End-to-End Process of the Delegation of Power Systems
The main objective of this process is the management of officials in the bank and the powers allotted to them along with handling the financial and economic risks at the wider level.
- The idea behind the Delegation of Power (DOP) system is that there has to be a single official in the bank (or a board of directors) who is responsible to approve proposals or delegate powers to responsible officials for exercising the right to approve proposals for making investments loans incurring expenditure discounting receivables, etc.
- This process includes a cumbersome amount of data discrepancies when maintained manually since the number of employees is large and the hierarchy level is complex. If not maintained properly, it can directly affect the grading system of the bank.
- Involved resources need an ample amount of time for file preparation as data is discrete and distributed.
- If required inputs (details regarding delegation) are not received on a timely basis then it leads to delays in official tasks & can have a domino effect on financials.
End-to-end processing of this process requires the intervention of three teams as follows:
- IT team acquires data of employee details information from HRMS DB on a daily basis and sends this file to VMT.
- VMT (Vendor Management Team) receives mail requests of employees from any retail /corporate branch of the bank for ID creation/modification/rectification. VMT team compares the new data with the old data for analyzing changes that occurred in the employee hierarchy. Based on the HRMS DB output, DOP creation is initiated for the file with the latest requests.
- The operations team on a monthly basis provides master dump data to the VMT team. This dump contains information about different level heads and power limits allocated as per employee job profile. VMT team uses these files for DOP creation.
- Since the data received from various employees is confidential, the IT team makes cryptographic codes for the outputs using encryption software. And then the VMT team uploads encrypted outputs onto the HR system of the bank.
- SheetKraft extracts the employee data from HRMS DB and master data from SheetKraft DB for processing of HRMS & DOP outputs.
- Activity logic is set as per pre-defined rules provided by VMT users using SheetKraft.
- After applying checks & calculations as per pre-defined logic SheetKraft prepares encrypted outputs as well uploads them in the HR system.
- Using SheetKraft, the entire end-to-end process is completed in 15-30 minutes whereas the manual process used to take around 8 hours.
- Manual hindrance for performing the check conditions has been automated leading to no manual errors.
- As end-to-end activity run is scheduled for auto-run on a daily basis, user dependence is extinct.


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