DATA PREPARATION AND VALIDATION
Your month-end report.
Traceable numbers.
Every month, your team gathers Excel files and ERP exports to rebuild the same report. BIASHARYS prepares and validates that data using rules you can check and run again.
For finance and operations teams in manufacturing and distribution SMEs.
September 2011
Net amount under the demonstration rules
1,019,687.62 CAD
Follow a report figure back to the transactions that make it up.
Public Online Retail data · CAD · A demonstration of the method, not a client engagement.
Recurring reports, reconciliations and data checks: we start with your Excel/CSV files, ERP exports or SQL databases to make one defined process repeatable.
THREE DEMONSTRATIONS, THE SAME METHOD
From the file received to the number explained.
Explore two public datasets and a synthetic ERP + Excel scenario. Exceptions remain visible, and the next month goes through the same checks.
Sales and cancellations
Prepare a monthly sales report, distinguish cancellations and trace every transaction.
UCI Online Retail · September and October 2011DEMO 02Orders, discounts and shipping times
Check amounts, count each order once and explain shipping times that exceed the schedule.
DataCo · August and September 2017DEMO 03Product margin
Connect sales and costs, explain item margins and trace a late September cost adjustment.
AdventureWorks · Synthetic scenario · August to October 2026Every figure can be traced to its source lines. The exports used, processing rules and checks are available in each demo.
File fingerprints and rule versions
- 01
The files
Existing exports with references, dates, products, amounts and statuses.
- 02
The rules
Amounts calculated and lines classified using explicit rules.
- 03
The exceptions
A reason and a source line for each item that needs review.
- 04
The report
A monthly summary with supporting detail behind every figure.
- 05
The next month
Add a period and regenerate the report using the same process.
A FOCUSED FIRST ENGAGEMENT
Which report or reconciliation needs reliable data?
One process, one or two sources and an agreed result. Business rules, acceptance criteria and the execution environment are defined before the engagement begins.
You provide
- An example of the expected report
- Available exports and their origin
- Known business rules and an owner to validate them
You receive
- The report or consolidated file, with its supporting detail
- The exception list and checks for each run
- The documented Python/SQL process and its configuration in the agreed environment
- Rerun and recovery instructions, followed by a handover session where your designated owner runs the process
Your team validates the business and accounting rules. BIASHARYS handles data preparation, reconciliations and checks. ERP configuration or specialist BI design needs are identified during scoping.
EXAMPLE FIRST ENGAGEMENT
CAD 3,000
One recurring process using one or two available sources: preparation, checks, documentation and handover. Taxes excluded. Scope and price are confirmed before engagement.
Sales and cancellations in distribution. Data supporting costs, inventory and period close in manufacturing, depending on the available sources.
WHO YOU WORK WITH
Abdoussalam Chafariou
Data Engineer in Montréal
Based in Montréal, I work on heterogeneous data preparation, Python/SQL processing and data quality checks. My production experience includes automation, monitoring and recovery procedures. You work directly with the person who builds the process and hands it over to your team.
Let’s start with your report.
A 20-minute conversation to understand the process, available files and expected result. Scope, price and schedule are agreed afterwards.
Discuss your reportFor the first conversation, a description of the sources and an anonymized example of the output are enough. Access, processing location and file retention arrangements are agreed before work begins.