I'm not technical. Can I work with iDev?

Absolutely. Most of our clients are non-technical. Just tell us what you want the end result to look like — we handle all the technical details.

How much does it cost to hire iDev?

We quote individually based on project scope and complexity. Initial consultation is completely free — we give you a clear quote after understanding your needs. No fit, no charge.

How big is the iDev team?

A few core members, each capable of delivering full-stack independently. We flexibly assign people based on project scale and can run multiple projects simultaneously.

What happens after project delivery?

We provide complete code and documentation at handover. For ongoing feature development or maintenance, we offer monthly or per-project arrangements. Most clients choose long-term collaboration.

What if I'm not satisfied with the project midway?

We confirm with you at every stage before moving forward. If the direction is off, we adjust immediately. If it truly can't continue, completed work is settled normally and all code is yours.

我完全不懂技术，能合作吗？

当然可以。我们的大部分客户都不是技术背景。你只需要告诉我们你想要什么效果，技术实现的事情完全由我们来处理。

费用大概是多少？

根据项目复杂度和功能范围单独报价。初次沟通完全免费，我们会在了解需求后给出明确报价，合适再开始，不合适不收费。

团队有几个人？

核心团队几个人，都是能独立交付的全栈开发者。根据项目规模灵活安排人手，可以同时推进多个项目，不用等排期。

项目做完以后怎么维护？

交付时会提供完整的代码和文档。后续如果需要功能迭代或维护，可以按月或按次合作。大部分客户选择了长期合作。

做到一半不满意怎么办？

每个阶段交付前都会和你确认。如果方向不对，我们及时调整。如果实在无法继续，已完成的部分正常结算，代码归你。

企业数据中台建设指南：别把简单问题复杂化

Enterprise Data Platform Guide Dont Overcomplicate Simple Problems

| iDev Team | 2026-08-09T09:50:00

数据中台概念火热，但很多企业的实际需求只是打通几个系统的数据。本文帮你判断是否真的需要数据中台，以及不同规模的最佳方案。

Data platforms are trending, but many enterprises simply need to connect data across a few systems. This article helps you determine if you actually need one, with solutions for different scales.

数据中台的误区这两年"数据中台"成了企业数字化的热词。很多企业被咨询公司忽悠，花了大几十万建了一套复杂的数据中台，最后发现根本用不起来。问题出在哪？把简单问题复杂化了。你真正需要的是什么在跳入"数据中台"之前，先问自己几个问题：你有几个数据源需要打通？如果只有 2-3 个，定时同步脚本就够了你的分析需求有多复杂？如果只是报表和 Dashboard，BI 工具就能搞定你有多少数据？如果不到 1TB，一台 MySQL 服务器就够了你有专职的数据团队吗？如果没有，谁来维护那套复杂的中台？不同规模的最佳方案小型企业（数据方案：MySQL + 定时同步脚本 + Metabase/Superset BI 工具。成本：几乎为零。搭建时间：1-2 天。中型企业（100GB - 1TB）方案：MySQL/PostgreSQL + ETL 工具（如 Apache NiFi 或简单的 Python 脚本）+ BI Dashboard。成本：RM 5,000-20,000。搭建时间：1-2 周。大型企业（> 1TB，多数据源）方案：数据仓库（BigQuery/Redshift）+ ETL 管道（Airflow）+ BI 平台（Tableau/Power BI）。这才是真正需要"数据中台"的场景。成本：RM 50,000+。搭建时间：1-3 个月。 iDev 的实践我们最近帮一家零售客户"建了数据中台"。实际上，我们做的是：用 Python 脚本每天从 POS 系统、Shopee 后台和会计软件抽取数据，同步到一个 MySQL 数据库，然后用 Metabase 搭了一套可视化看板。总共花了 2 周，客户每月能看到完整的经营数据。这就是适合他的"数据中台"。技术方案的选择应该由实际需求驱动，而不是由流行概念驱动。

The Data Platform Misconception "Data platforms" have become a buzzword in enterprise digitalization. Many companies, swayed by consulting firms, spend hundreds of thousands building complex data platforms that end up unused. The problem? Overcomplicating simple problems. What You Actually Need Before jumping into a "data platform," ask yourself: How many data sources need connecting? If only 2-3, a scheduled sync script is enough How complex are your analytics needs? If just reports and dashboards, a BI tool will do How much data do you have? Under 1TB, a single MySQL server suffices Do you have a dedicated data team? If not, who maintains that complex platform? Best Solutions by Scale Small Business (Data Solution: MySQL + scheduled sync scripts + Metabase/Superset BI. Cost: Nearly zero. Setup: 1-2 days. Medium Business (100GB - 1TB) Solution: MySQL/PostgreSQL + ETL tools (Apache NiFi or Python scripts) + BI Dashboard. Cost: RM 5,000-20,000. Setup: 1-2 weeks. Large Enterprise (> 1TB, multiple sources) Solution: Data warehouse (BigQuery/Redshift) + ETL pipeline (Airflow) + BI platform (Tableau/Power BI). This is when you genuinely need a "data platform." Cost: RM 50,000+. Setup: 1-3 months. iDev's Practice Technology choices should be driven by actual needs, not trending concepts.

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