Launch day is here! 🚀 Meet Ada, the world's first AI data analyst. It turns messy data into professional reports in minutes. Built for anyone who works with data: ✅Upload data from any source ✅Generate polished reports instantly ✅Run predictive scenarios automatically…
🚀 Black Friday Exclusive for New Users Power your e-commerce insights with Ada.im — now 50% OFF for the first month. Track sales, understand customers, monitor inventory, and turn raw Excel files into clear insights instantly. This Black Friday, upgrade your…
Data scattered across too many files? Not anymore. The Data Workbench centralizes your business data and public datasets into one powerful analytics engine. ✨ Benchmark sales with economic indicators in seconds using Fusion Analysis ✨ Get stable, trustworthy results with…
Struggling to make sense of disconnected datasets? Meet the Data Workbench—your unified space for transforming raw business files and curated public data into actionable insights. With Fusion Analysis, you can instantly compare internal performance (like sales) against external…
Black Friday isn’t a marketing event — it’s a reporting nightmare. Teams are drowning in: • GMV tracking • hourly sales updates • ad performance reports • refund spikes • channel inconsistencies • manual Excel merging That’s exactly where Ada.im shines.…
📊 E-commerce teams are creating reports in the time it takes to drink a coffee Are you still spending hours every day analyzing ads? Too many metrics, messy data, charts that take forever to build? 😵💫 Now—with just one coffee break—Ada.im does it for you. ✔…
🚀 Let AI Boost Your E-commerce Growth Hitting a GMV plateau? Ada.im unlocks your store’s data in seconds. ⚡️Daily sales reports, auto-generated 🔗Connects with Shopify / Amazon / eBay 📊Customer insights + predictive analytics ⏱ Faster decisions. Higher ROI.…
Why do AI tools still make mistakes in business analysis? Because most of them don’t understand your business language. GMV ≠ GMV ROI ≠ ROI Refunds ≠ Refunds Every platform has different definitions, formulas, and fields — but traditional NL2SQL tools don’t know that.…
Semantic Layer: Why Do AI Tools Make Mistakes in Business Data Analysis? When you analyze data, you’ve probably run into this problem: GMV, ROI, refunds, revenue… The same metric, but every platform defines it differently — and the calculation method isn't the same either.…
日本の多くの現場では、複雑で重厚なBIツールを使いこなす必要はありません。 本当に求められているのは、既存のワークフローを変えずに、レポート作成をより早く、より正確に進められる “軽快で頼れるAIアシスタント” です🔋 そのために、私たちは Ada.im を開発しました。…
ダッシュボードから「意思決定」へ 🚀 正直に言うと、これまで本当にたくさんのダッシュボードを見てきました 📊。見た目はきれいでも、ほとんどの場合は“数字のショーウィンドウ”にすぎません。本当の課題は、その数字をどうやって実際の意思決定につながるインサイトに変えるのか 💡？…
🚨 Data everywhere, but no consistency. Analysts stuck with hallucinations, shallow insights, wasted time. 💡 The breakthrough isn't more data — it's smarter semantic understanding: Unify metrics with semantic recognition Unlock deep causal insights Public data on demand,…
アナリティクスの未来：ガバナンス、信頼、そしてディシジョン・インテリジェンス 🚀 この20年間、私はデータチームが「Excelでの火消し作業」から成熟したプラットフォームへと進化していく姿を見てきました。 そして今、生成AIとLLM（大規模言語モデル）が再びハードルを下げています。…
If even GMV can't be defined consistently, how can a company claim to be data‑driven?
💡 Why does the same GMV number look different depending on which team you ask? Ops, Product, Finance — one metric, three reports, three answers. That's why the Metric Semantic Layer matters: Centralized metric definitions Decoupled semantics from raw data Define once, reuse…
GMV is truth, or illusion? It depends on whether you have a unified semantic layer.
💡 Why does the same GMV number look different depending on which team you ask? Ops, Product, Finance — one metric, three reports, three answers. That's why the Metric Semantic Layer matters: Centralized metric definitions Decoupled semantics from raw data Define once, reuse…
💡 Why does the same GMV number look different depending on which team you ask? Ops, Product, Finance — one metric, three reports, three answers. That's why the Metric Semantic Layer matters: Centralized metric definitions Decoupled semantics from raw data Define once, reuse…
From BI to AI: The Evolution of Enterprise Data Analytics Data has become the new fuel for business growth. Over the past two decades, we've witnessed a remarkable journey: 🔹 Traditional BI – Static reports answering "What happened?" 🔹 Self-Service BI – Visual dashboards…
💡 1ページでわかる！セマンティックレイヤーがデータチームの対立を減らす5つの理由 データチームを率いたことがある人なら、この光景を見たことがあるはずです。 📊 BIチーム：「このKPI、間違ってる！」 ⚙️ データエンジニア：「モデルのロジックは正しい！」 🧩…
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