KUROSHIODIGITAL TECHNOLOGY

資料整理好
分析與 AI 才能真正發揮
Clean data first.
Then analytics and AI deliver.

資料數位化|客製化系統建置|營運顧問Data digitization · Custom systems · Operations consulting

打造
高純度資料庫
Build a high‑purity database

從數位表單的標準化收集,到清洗後的結構化應用,全面打底企業成長動能。From standardized digital forms to clean, structured data you can actually use, we lay the foundation for your company’s growth.

散落的資料Scattered data結構化的資料流Structured data flow商業目標Business goals

課題Challenges

企業常見的四個挑戰Four challenges growing companies face

許多成長中的企業,都曾在這些地方卡關。Most growing companies get stuck on at least one of these.

系統被外包綁死Locked in to one vendor

調整表單或流程時,得回頭找原班人馬;外包換人或解散,系統就難以維護。Every change to a form or workflow sends you back to the original developers. If they move on, the system becomes hard to maintain.

解法:兩種實現路徑Our answer: two build paths

看得到資料,看不深Data you can see but not analyze

跨表、跨通路的獲利與趨勢分析,需要完整、一致的資料架構才能支撐。Profit and trend analysis across sheets and sales channels needs a complete, consistent data structure underneath it.

解法:外部資料中心Our answer: an external data center

做法Approach

資料數位化與結構化Data digitization and structuring

我們協助企業把資料整理成結構化、可長期維護的資產,為分析與 AI 應用打底。We turn your data into a structured, maintainable asset that analytics and AI can build on.

現況Today

分散的資料Scattered data

  • Excel、表單與各種小工具Spreadsheets, forms and assorted tools
  • 各部門格式與定義不一Each team uses different formats and definitions
  • 對帳與彙整靠人工Reconciliation and reporting done by hand
我們協助建立What we build

結構化的系統A structured system

  • 統一欄位、流程與權限Unified fields, workflows and permissions
  • 客戶可自行維護Maintained by your own team
  • 以 Ragic 或自建系統實現Built on Ragic or as a custom system
成果Outcome

可運用的資料Usable data

  • 跨表、跨通路報表Cross-sheet, cross-channel reports
  • 更可靠的決策依據More reliable decisions
  • AI 應用的基礎A foundation for AI

資料清理Data cleanup

盤點並整理既有資料,統一格式與定義,讓資料可信、可比對。We audit and clean your existing data and unify formats and definitions, so the numbers can be trusted and compared.

系統數位化System digitization

把流程與表單搬進系統,讓資料從源頭就以結構化方式留存。We move workflows and forms into a system, so data is captured in a structured way from the start.

可持續維護Long-term maintainability

結構化的資料能由客戶長期自行維護,持續累積,也為後續分析做好準備。Structured data can be maintained by your team over time, keeps growing, and stays ready for analysis.

路徑Two Paths

兩種實現路徑:Ragic 或自行開發Two paths: Ragic or a custom build

目標相同:讓資料結構化、可維護。我們依您的需求,提供最合適的實現方式。The goal is the same: structured, maintainable data. We pick the approach that fits your needs.

快速導入Fast to launch

路徑一Path 1Ragic 平台建置Build on Ragic

  • 表單高彈性,易修改好維護Flexible, easy-to-maintain forms
  • 完整 API(應用程式介面),可轉出、分析、寫回A complete API to export, analyze and write back
  • 完整權限管理與高規格資安Granular permissions and strong security
  • 從小開始,逐步擴展Start small, then grow
了解更多 Ragic 服務Learn more about Ragic
高度客製Fully custom

路徑二Path 2自行開發系統Custom-built system

  • 依營運流程量身開發 ERP(企業資源規劃)類系統An ERP (enterprise resource planning) style system built around your operations
  • 資料模型、權限與流程可高度客製化Data model, permissions and workflows fully customized to your needs
  • 可透過 API(應用程式介面)整合既有系統與第三方服務Connects to your existing systems and third-party services through APIs
  • 由工程團隊負責開發、部署與維運Our engineers handle development, deployment and maintenance
如何選擇Which one?

流程較標準、希望快速上線,適合 Ragic;流程特殊、需深度整合或高度客製,適合自行開發。兩種路徑也可以並行。Standard workflows that need to go live quickly suit Ragic. Unusual workflows, deep integrations or heavy customization suit a custom build. The two can also run side by side.

Ragic 的資安優勢Security on Ragic

資料安全是 Ragic 的強項:有國際認證,也有加密、存取控制與備份等完整機制。Security is one of Ragic’s strengths, with international certification plus encryption, access control and backups.

國際認證與合規Certification and compliance通過 ISO 27001(資訊安全管理系統)認證;落實 GDPR(歐盟一般資料保護規則),歐洲用戶資料庫設於歐洲。ISO 27001 certified. GDPR compliant, with European customers’ databases hosted in Europe.
資料加密Encryption寫入硬碟的資料皆加密;傳輸採 HTTPS 加密,敏感資料自動強制加密。Data is encrypted at rest and in transit over HTTPS, and sensitive data is always encrypted.
嚴格的存取控制Strict access control未經客戶授權,連技術人員也無法存取資料庫內容;無後端維護介面可繞過。Without your authorization, not even Ragic engineers can access your database, and there is no back-end console to bypass this.
完整稽核紀錄Full audit logs所有連線與資料存取皆留有紀錄,並定期分析是否有可疑行為。Every connection and data access is logged and regularly reviewed for suspicious activity.
備份與防災Backups and disaster recovery每日完整備份並異地存放;專業版以上另有異地、異廠商備份,可手動下載或還原。Full daily backups stored off-site. Professional plans and above add backups with a second provider, which you can download or restore.
資料隔離與系統防護Isolation and protection每位客戶資料庫存放於完全分離的檔案;防火牆與入侵偵測即時阻擋惡意連線。Each customer’s database is stored in a fully separate file, and firewalls and intrusion detection block malicious traffic in real time.

主機由 Google、AWS 提供,具 ISO 27001 等國際認證。資料來源:Ragic 官方文件「Security at Ragic」(ragic.com)Hosted on Google and AWS, both ISO 27001 certified. Source: “Security at Ragic” (ragic.com).

判斷Right Fit

靈活應變,打造最適解決方案The right solution for where you are

不是每個需求都需要客製。我們先判斷適合的路線,再決定是否建置。Not every need calls for custom development. We work out the right route first, then decide what to build.

您的情境Your situation流程已標準化Standard workflowsRagic 無法滿足Beyond what Ragic can do

尚未系統化No system yet

還在用 Excel 或紙本管理Still running on spreadsheets or paper

流程已標準化Standard workflowsRagic:先把最卡的流程(如報價、庫存)數位化,穩定後再擴充Ragic: digitize the most painful workflows first (such as quotes or inventory), then expand
Ragic 無法滿足Beyond what Ragic can do由我們協助開發客製系統We build a custom system

已有工具,但資料分散Tools in place, data scattered

已在用多套 SaaS(軟體即服務)或 ERP;報表不好用、欄位改不動Several SaaS (software as a service) or ERP tools already in use; reports are weak and fields can’t be changed

流程已標準化Standard workflows保留現有工具,以 Make、n8n 串接,由資料中心整合報表;缺的流程以 Ragic 補Keep your tools, connect them with Make or n8n, consolidate reporting in a data center, and fill gaps with Ragic
Ragic 無法滿足Beyond what Ragic can do缺口由我們開發客製,再串接整合We build custom pieces for the gaps and integrate them

現成軟體不合用,或有特殊功能需求Off-the-shelf software doesn’t fit

流程特殊;需開放給客戶或供應商的入口;運算規則複雜Unusual workflows, customer or supplier portals, or complex calculation rules

流程已標準化Standard workflows先檢視流程能否標準化,可以就用 RagicWe first check whether the workflow can be standardized; if so, Ragic
Ragic 無法滿足Beyond what Ragic can do由我們開發客製系統,依實際流程量身建置We build a custom system around how you actually work

重視資安、多人協作與權限管理Security, collaboration and permissions matter

多部門共用;不同角色看到不同資料;需要簽核與操作紀錄Shared across teams, role-based visibility, approvals and activity logs required

流程已標準化Standard workflowsRagic:可依角色分層設定誰能看、誰能改、誰能簽核Ragic: role-based settings for who can view, edit and approve
Ragic 無法滿足Beyond what Ragic can do權限規則超出 Ragic 設定範圍時,由我們開發客製系統,並依規則設計權限When your rules go beyond Ragic’s settings, we build a custom system with permissions designed around them

流程已標準化,建議採用 Ragic;Ragic 無法滿足時,由我們協助開發客製化系統。For standard workflows we recommend Ragic; when Ragic falls short, we build a custom system.需要跨系統、跨通路分析時,再加上外部資料中心補強。When you need analysis across systems and channels, we add an external data center.

分析Data Center

外部資料中心:補強報表與分析External data center for reporting and analysis

無論採用 Ragic 或自建系統,資料中心都能補強跨表、跨通路的運算與報表。Whether you run Ragic or a custom system, a data center adds cross-sheet and cross-channel calculations and reports.

營運系統Operating system

Ragic 或自建系統Ragic or custom system

  • 表單、流程與權限Forms, workflows and permissions
  • 客戶自行維護Maintained by your team
外部資料中心 · Data CenterExternal data center

資料收集與清理Collect and clean data

  • 整合與清理歷史資料Consolidates and cleans historical data
  • 跨表、跨通路運算Cross-sheet, cross-channel calculations
  • 累積可供 AI 使用的資料集Builds datasets ready for AI
自訂報表系統Custom reporting

AI 輔助開發Built with AI assistance

  • 依需求自訂指標Metrics defined around your needs
  • 跨表、跨通路報表Cross-sheet, cross-channel reports

運算結果寫回營運系統,回到日常使用的介面Results are written back to your operating system, where your team already works

不改變使用習慣No new habits to learn

日常輸入與查詢仍在原有系統,團隊不必學習新工具。Daily data entry and lookups stay in the system your team already uses.

分析不受平台限制Analysis without platform limits

指標與報表可依需求自訂,跨表、跨通路都能計算。Metrics and reports are defined around your needs and calculated across any sheet or channel.

為 AI 打底Ready for AI

乾淨、持續累積的歷史資料,預測與建議才可靠。Forecasts and recommendations are only as reliable as the clean history behind them.

服務Services

黑潮數位能做什麼What Kuroshio Digital does

從規劃、建置到分析與開發,由同一個團隊完成。Planning, building, analysis and development, all from one team.

Planning營運流程規劃Operations planning

盤點現有流程,把營運邏輯轉成清楚的系統架構與資料結構;規劃團隊具備 IPO(首次公開募股)後內控規則的導入經驗。We map your current workflows and turn your operating logic into a clear system architecture and data structure. Our planning lead has implemented internal controls to post-IPO (initial public offering) standards.

Build系統建置System builds

依需求以 Ragic 或自行開發,建置 ERP 常見模組:報價、訂單與工單、設備與產線管理、採購、財務。On Ragic or custom-built, we deliver common ERP modules: quotes, orders and work orders, equipment and production lines, purchasing, and finance.

Localization多語系與國際化Multilingual and international

提供英文與在地語系介面;採用 Ragic 時,資料可選擇美國、歐洲或亞洲機房託管。English and local-language interfaces. On Ragic, data can be hosted in the US, Europe or Asia.

Analytics資料整合與報表分析Data integration and reporting

以 AI 輔助擷取與清理資料,產出跨表、跨通路報表,並做預測與建議。AI-assisted extraction and cleanup, cross-sheet and cross-channel reports, forecasts and recommendations.

Automation自動化與整合開發Automation and integration

以 Make、n8n 自動化跨系統流程,串接既有系統與第三方服務;需要時以全端工程能力自行開發。We automate cross-system workflows with Make and n8n and connect your existing systems and third-party services, with full-stack development when needed.

示範Scenario

情境示範:跨通路電商Example: a multichannel online store

經營 Amazon 與 Shopify 的中小電商,有的還在用 Excel,有的已用現成工具,卻都算不清真實獲利。Small online sellers on Amazon and Shopify, whether they run on spreadsheets or off-the-shelf tools, often can’t see their true profit.

庫存與數據各自為政Inventory and data out of sync

Excel 手動更新常造成超賣;即使用了同步工具,費用與廣告數據仍散在各平台。Manual spreadsheet updates lead to overselling. Even with a sync tool, fees and ad data stay spread across platforms.

算不出各通路真實獲利No true profit by channel

抽成、物流費、廣告費與官網金流成本散在各處,難以判斷哪個通路更划算。Marketplace fees, shipping, ad spend and payment costs are scattered, so it’s hard to tell which channel pays off.

人力耗在搬資料Hours lost moving data

每週從各後台匯出資料再手動合併比對,耗時又容易出錯,報表出爐時已經過時。Weekly exports from every dashboard are merged by hand. It’s slow, error-prone, and the report is outdated by the time it’s done.

旺季備貨失準Peak-season stock misses

兩個通路的歷史銷售沒有整合,黑色星期五這類檔期備貨不是太多就是太少。Without combined sales history, stock for events like Black Friday is either too much or too little.

  1. 1

    診斷盤點Assess

    盤點現有的 Excel、工具與資料來源,找出缺口。Review your spreadsheets, tools and data sources and find the gaps.

    約 1–2 週About 1–2 weeks
  2. 2

    建置或串接Build or connect

    Excel 起步:以 Ragic 建立系統。已有工具:以 Make、n8n 串接。Starting from spreadsheets: build the system on Ragic. Already using tools: connect them with Make or n8n.

    約 2–6 週About 2–6 weeks
  3. 3

    資料清理與結構化Clean and structure data

    以 AI 輔助擷取、分類與清理散落的歷史資料,整理成一致的格式。AI-assisted extraction, classification and cleanup of scattered historical data into one consistent format.

    約 2–3 週About 2–3 weeks
  4. 4

    報表與分析Report and analyze

    計算各通路、各商品扣除抽成、物流與廣告後的真實毛利。Calculate true margin by channel and product after fees, shipping and ads.

    約 2–3 週About 2–3 weeks
  5. 5

    導入 AIBring in AI

    資料夠乾淨完整後,再做銷售預測與補貨建議。Once the data is clean and complete, add sales forecasts and restock recommendations.

    持續優化Ongoing
預期成果Expected results庫存同步、各通路與商品的真實毛利一目了然、對帳時間縮短、旺季備貨有據可依。週期依實際需求調整。Inventory in sync, true margin visible by channel and product, faster reconciliation, and data-backed peak-season stock. Timelines adjust to your needs.

實績Case Study

IPO 前的系統轉型Pre-IPO systems transformation

數位行銷產業|準備 IPO(首次公開募股)Digital marketing · Preparing for IPO (initial public offering)

我們協助一家約 300 人、準備 IPO 的數位行銷公司,歷時約一年完成內部系統轉型。We helped a digital marketing company of about 300 people prepare for its IPO by transforming its internal systems over roughly one year.

300人people企業規模(約)Company size (approx.)
1年year專案期間(約)Project length (approx.)
20個modulesERP 模組(約)ERP modules (approx.)

ERP 建置:約 20 個模組ERP build: about 20 modules

從請款、報價、合約用印到權限申請,跨部門流程皆線上簽核。From expense claims, quotes and contract sign-off to access requests, cross-department workflows were approved online.

內控規則導入Internal controls

每筆申請皆留存簽核紀錄,配合上市後內控規則導入。Every request keeps an approval record, in line with post-listing internal control rules.

資料清理與結構化Clean and structure data

整理營運資料,建立可維護的結構。We organized operating data into a maintainable structure.

理念Philosophy

黑潮數位的由來與理念Our name and philosophy

數位轉型不該是盲目的摸索。我們協助企業,透過數據驅動達到商業目標。Digital transformation shouldn’t be guesswork. We help companies reach their business goals with data.

紅點|商業目標Red dot · goals 線條|數據與資料流Lines · data flow

名Name黑潮:最強大、最穩定的巨流Kuroshio: the strongest, steadiest current

企業每日面對龐雜的資料,就像汪洋中無形卻洶湧的潮水。這正是「黑潮數位」名稱的由來。Companies face a flood of data every day, like an unseen but powerful current in the open ocean. That is where the name Kuroshio, the Black Current, comes from.

標Mark標誌:資料流與商業目標The mark: data flow and business goals

縱橫交錯的線條,代表企業內外奔流不息的數據與資料流;那顆紅點,則是企業矢志抵達的商業目標。The flowing lines stand for the data moving through and around a company. The red dot is the business goal it is determined to reach.

志Role理念:企業的數據導航員Our role: your data navigator

我們協助企業梳理雜亂的資料,轉化為如黑潮般強勁、有方向性的數據驅動力量,穿越重重迷霧,精準推動企業抵達商業目標。We help companies sort out messy data and turn it into a strong, directed force, like the Kuroshio, that carries them through the fog to their business goals.

團隊Team

團隊能力Our team

規劃、商務、工程三種專業,涵蓋從需求到交付。Planning, business and engineering expertise, from requirements to delivery.

企業流程與內控Business processes and controls

專業規劃Planning

  • 具備企業流程規劃與系統導入經驗Experience planning business processes and rolling out systems
  • 熟悉 IPO 後內控規則Versed in post-IPO internal controls
  • 能把營運邏輯轉成清楚的資料架構Turns operating logic into clear data architecture
海外客戶開發與溝通International business development

跨語言商務Cross-language business

  • 具備商業開發實務經驗Hands-on business development experience
  • 專業外語能力,跨文化溝通順暢Professional-level English and cross-cultural communication
  • 能清楚傳達需求與提案Clear requirements and proposals
系統開發與資料運算Systems and data engineering

完整工程能力Full-stack engineering

  • 前端、後端、伺服器皆能獨立完成Front end, back end and servers, handled in-house
  • 可開發自建系統與資料中心Builds custom systems and data centers
  • 能串接既有系統與第三方服務Integrates existing systems and third-party services

選擇Why Us

為什麼選擇黑潮數位Why Kuroshio Digital

從您在意的事出發,把資料到分析的整條路一起規劃。We start from what matters to you and plan the whole path from data to analysis.

您在意的事What matters to you我們的做法How we handle it

不想被單一外包綁死No vendor lock-in

以結構化、可維護的方式建置,交付後貴公司能自行調整。We build in a structured, maintainable way, so your team can make changes after handover.

需求不只一種More than one kind of need

依情境選擇 Ragic 或自行開發,並以 Make、n8n 串接既有工具。We choose Ragic or a custom build for each situation and connect your existing tools with Make and n8n.

想真正看懂數據Understanding your numbers

資料中心運算,自訂跨表、跨通路報表。A data center for calculations, with custom cross-sheet and cross-channel reports.

想導入 AIAdopting AI

AI 從資料整理就參與,再延伸到預測與補貨建議。AI is involved from data cleanup onward, extending to forecasts and restock recommendations.

希望長期有人陪伴Long-term support

以合理建置費起步,月費顧問持續優化系統。A modest build fee to start, then a monthly retainer to keep improving the system.

團隊分布在不同國家Teams in different countries

多語系交付,英文溝通順暢。Multilingual delivery and fluent English communication.

費用Pricing

合作方式與費用How we work and pricing

以合理的建置費開始,透過月費顧問長期陪伴,持續優化系統。Start with a modest build fee, then keep improving with a monthly retainer.

第一年成本比較:自組團隊 vs. 月費顧問First-year cost: in-house team vs. monthly retainer

以建置並維運一套中小企業內部營運系統為例。Example: building and running an internal operations system for a small or mid-sized business.

自組團隊In-house team5 位全職人才,含福利5 full-time staff, incl. benefits
約 US$766,000≈ US$766,000
黑潮數位月費顧問Kuroshio retainer月費 × 12 個月Monthly fee × 12
US$18,000–72,000

月費顧問約為自組團隊成本的 2–9%;另計一次性建置費與平台訂閱費。A retainer costs about 2–9% of an in-house team. One-time build fees and platform subscriptions are separate.

資料來源:BLS(美國勞工統計局)2025 年 5 月薪資中位數;福利占比 30%(2026 年 6 月)。趨勢參考:Gartner 低代碼預測(2022)、Upwork Future Workforce Index(2025)。Sources: BLS (US Bureau of Labor Statistics) median wages, May 2025; benefits at 30% of compensation (June 2026). Trends: Gartner low-code forecast (2022), Upwork Future Workforce Index (2025).

一次性One-time

建置費Build fee

依範圍報價Quoted by scope

  • 訪談與流程規劃Interviews and workflow planning
  • Ragic 或自建系統的核心建置Core build on Ragic or custom
  • 以合理費用起步,先驗證價值A modest start that proves value first
每月Monthly

基礎維運顧問Essential retainer

US$1,500–3,000/月/ month

  • 系統維護與調整System maintenance and changes
  • 表單與流程優化建議Form and workflow improvements
  • 操作諮詢與教育訓練User support and training
每月Monthly

進階顧問Advanced retainer

US$3,000–6,000/月/ month

  • 包含基礎維運全部內容Everything in Essential
  • 資料運算與自訂報表Data processing and custom reports
  • 持續客製開發與 AI 應用Ongoing custom development and AI

若採用第三方平台(如 Ragic),平台訂閱費由客戶直接向平台支付(Ragic 約每位使用者每月 US$5 至 US$55,依方案而定),不含在顧問費內。Third-party platform subscriptions (such as Ragic, about US$5–55 per user per month depending on plan) are paid directly to the platform and are not included in our fees.

下一步Next step

30 分鐘
免費系統健檢
Free 30-minute
systems check-up

先聊聊您現在的工具與資料,我們會給出具體的改善方向。Tell us about your current tools and data, and we’ll give you concrete next steps.

  1. 1預約一次 30 分鐘的線上通話Book a 30-minute video call
  2. 2一起盤點現有工具、資料與卡關流程Review your tools, data and bottlenecks together
  3. 3收到一份改善建議與合作藍圖Receive recommendations and a roadmap