Building Repeatable Aggregation Workflows | kawakamisekkei

We turn manual aggregation and reporting work — merging Excel/CSV files, aggregating, checking, and formatting by hand — into a repeatable process built in your own environment, delivered with run instructions and verification results. A service by kawakamisekkei Inc. (Tokyo, Japan). Details and contact: https://kawakamisekkei.com/

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1. SERVICE 05 Building Repeatable Aggregation Workflows Manual aggregation and reporting work, implemented as repeatable processes kawakamisekkei Inc. — Tokyo, Japan
2. SERVICE 05 Do Any of These Sound Familiar? Multiple Excel / CSV files are merged and transformed by hand every cycle Aggregation rules and exceptions are scattered across formulas, documents, and procedures The same transformation and output is repeated per client, per site, per year Record counts and totals are checked by hand at every run You want processing to run in-house, without data leaving the company For work that repeatedly merges, aggregates, checks, transcribes, and formats multiple Excel / CSV files by hand, we organize the inputs, aggregation conditions, output formats, and verification methods — and implement it all as a single repeatable process. It is built in your own environment and handed over with run instructions. © kawakamisekkei Inc. 02
3. SERVICE 05 What We Do PHASE 1 PHASE 2 Organize Implement & verify Organize the input data, working procedures, outputs, and verification Implement the end-to-end process in Excel, SQL, Python, or similar. methods. Make aggregation targets, exclusions, calculation methods, Verify record counts, totals, and key fields against sample data. and exceptions explicit. Prepare run instructions and a map of what to change where. © kawakamisekkei Inc. 03
4. SERVICE 05 Deliverables 01 A runnable aggregation / transformation / output process, and its outputs (Excel, CSV, reports) 02 Specifications for inputs and aggregation conditions, with numerical verification results 03 Run instructions, and notes for future changes © kawakamisekkei Inc. 04
5. SERVICE 05 Scope & Terms One recurring aggregation, reporting task, or data-transformation workflow is the unit; scope and verification method are fixed before starting. If existing SQL / programs / Excel processes only need fixing, see “Existing Data Process Modification & Repair”. If you also want recurring execution, inspection, and delivery after the build, see “Recurring Output, Inspection & Delivery”. Source-database redesign, core-system changes, full environment builds, and cross-departmental process redesign are out of scope. What to share when you contact us Share materials showing your current input data, working procedures, outputs, run frequency, aggregation conditions, and verification methods. Data handling: Received data, Excel files, SQL, report formats, and aggregation definitions are used only for this engagement, never reused elsewhere. Return or deletion after completion is agreed in advance. © kawakamisekkei Inc. 05
6. PROCESS How We Work 1 2 3 4 5 Discovery Baseline Delivery Acceptance Release / Operate Organize requirements, Fix what will be Implement only what was Feedback is handled Organize publication, constraints, and decision criteria; define the scope implemented, how it is verified, and how changes are handled fixed in the Baseline separately as fixes, additions, or premise changes update, and operating conditions for continued use Implementation scope is fixed before Delivery begins, and only confirmed items are implemented. Additions and premise changes are handled as the next round of scoping. Small, narrowly scoped engagements are welcome. © kawakamisekkei Inc. 06
7. COMPANY Company Profile We implement statistical models, Company business logic, and data infrastructure Representative in the Data Science Tech domain. Location Grounded in applied mathematics and software implementation, we convert the Founded recurring processes and decisions inside a business into reproducible code. Domain Website © kawakamisekkei Inc. kawakamisekkei Inc. （株式会社川上設計） Hiroshi Kawakami, Representative Director TM Hamacho Bldg. 6F, 1-9-1 Nihonbashi-Hamacho, Chuo-ku, Tokyo, Japan September 1, 1989 Data Science Tech https://kawakamisekkei.com/ 07
8. Contact Please reach us via the Contact form on our website. We start by reviewing your current workflow and materials, then propose a scope. https://kawakamisekkei.com/ © kawakamisekkei Inc.