Data Analytics & BI · Osaka
Data Analytics & BI Dashboards in Osaka — Dashboard Builds
"Compiling sales movements by hand every month," "inventory data that never gets analyzed, so ordering runs on gut feeling," "we have customer data but don't know how to use it" — BI dashboard builds solve these "dormant data" problems.
Sugureru selects the tool best suited to your environment from Looker Studio (free), Power BI (from ¥2,100/user per month), and Tableau (from ¥10,000/month). We cover everything from preparing your existing data to building the dashboard and managing operations. For an initial cost of ¥300,000+, we cut monthly reporting effort by 80%.
Do any of these challenges sound familiar?
- ▸"Manual tallying in Excel every month wipes out the first two days of the month."
- ▸"We have the data, but we don't know what to look at."
- ▸"We introduced a BI tool, but no one in-house can use it effectively."
- ▸"We tally the KPIs for the management meeting by hand every time."
- ▸"We want to forecast demand and sales, but Excel analysis has accuracy limits."
Three reasons clients choose Sugureru
1. Advice from tool selection onward (neutral guidance)
We are not a reseller for any particular vendor, so we candidly recommend what truly fits your environment among Looker Studio (free) / Power BI / Tableau. For example, Looker Studio is plenty for a Google environment, Power BI for a Microsoft environment, and Tableau for large-scale data volumes.
2. End-to-end support from dashboard build through ongoing improvement
"Build the dashboard, deliver it, and we're done" leads to a dashboard that goes unused and dies on the shelf. In monthly reviews, Sugureru analyzes which metrics are being used and which are not, then keeps improving — growing it into a genuinely useful tool. A monthly managed-operations plan (¥50,000–200,000/month) is available.
3. Coverage all the way to AI forecasting (demand forecasting / anomaly detection)
Beyond simple dashboards, we handle advanced AI-powered analysis end to end — including "next month's demand forecasting," "anomaly detection of unusual movements," and "customer segmentation" from historical data. This directly drives outcomes such as reducing inventory write-off losses, preventing stockouts, and predicting customer churn.
Examples of dashboards we can build
Sales dashboard (daily / monthly / annual)
Visualize sales by product, store, and time of day. Year-over-year comparisons, target achievement rates, and trend lines update automatically. Deliver KPI reports for management meetings automatically every month.
Customer analysis (LTV / churn rate / RFM)
Lifetime value (LTV) per customer, churn prediction, and Recency-Frequency-Monetary analysis. Extract the traits of high-value customers and detect early signs of churn to inform re-engagement campaigns.
Inventory analysis (turnover / optimal stock / write-off loss)
Inventory turnover by product, automatic calculation of optimal stock levels, and visualization of write-off losses and missed-sales opportunities. Improve ordering accuracy and strengthen cash flow.
AI forecasting (demand forecasting / anomaly detection)
Forecast demand with machine-learning models built from one to three years of data. We select among Prophet, XGBoost, and time-series models to suit your industry. Anomaly detection sends instant alerts for sharp sales drops and inventory irregularities.
Pricing plans
| Plan | Price | Timeline | What's included |
|---|---|---|---|
| Light template | ¥300,000–500,000 | 2 weeks | 1 dashboard, roughly 10 core KPIs |
| Standard | ¥800,000–2,000,000 | 4–8 weeks | Multiple dashboards, data preparation, complex aggregation logic |
| With AI forecasting | ¥2,000,000+ | 8–16 weeks | AI models for demand forecasting, anomaly detection, customer segmentation, etc. |
All listed prices exclude tax. Managed-operations plan: ¥50,000–200,000/month. Power BI / Tableau license fees are billed separately at cost.
How we work
-
01
KPI discovery & tool selection
We clarify "what you want to see," "who will see it," and "how often it should update." Based on your existing environment (Google / Microsoft / other), we recommend the best fit among Looker Studio / Power BI / Tableau.
-
02
Data preparation & cleansing
We connect data sources such as databases, CSV, and SaaS APIs, then resolve missing values, inconsistent notation, and data types. This accounts for 50–70% of the project effort (but cutting corners here later makes the dashboard impossible to trust).
-
03
Dashboard build & refinement
We implement the required KPIs, chart types, filters, and drill-downs. Through weekly reviews, we polish usability.
-
04
Launch & operations / in-house enablement support
We provide operation training for stakeholders, configure automatic updates, and set up a monthly review process. You can choose from three operating patterns: managed operations, in-house staff training, or a hybrid.
Use cases by industry
Representative use cases we are actually consulted on across Osaka and the Kansai region.
- Wholesale & retail: sales / inventory / product analysis, store comparisons, product-level ABC analysis
- Manufacturing: production results / quality / defect rate, line-level productivity, equipment utilization
- Services: reservations / visits / repeat rate, customer LTV, area-level analysis
- EC & mail order: conversion / cart abandonment / repeat rate, ad ROAS
- B2B SaaS: MRR / churn rate / activation rate, funnel analysis
Frequently asked questions
Where can data be imported from?
We support nearly all major data sources: databases such as PostgreSQL / MySQL / SQL Server, CSV / Excel files, SaaS APIs such as Salesforce / HubSpot / kintone, Google Analytics / Search Console, EC marketplaces such as Shopify / Amazon / Rakuten, payroll software, accounting software, and more.
Should I choose Looker Studio or Power BI?
If you use a Google environment (Workspace, Analytics, Sheets), the free Looker Studio is the best fit. For a Microsoft environment (365, Teams, Azure), Power BI (¥2,100/user per month). If you have massive data volumes and need complex analysis, Tableau (¥10,000/user per month). We give you a candid recommendation based on your existing environment.
After choosing a tool, who handles the operations?
There are three options: (1) training in-house staff (lecture sessions, ¥50,000–150,000), (2) managed operations (¥50,000–200,000/month), or (3) a hybrid (we handle only the key KPIs, your team handles the rest). We tailor the recommendation to your team structure and budget.
How accurate is AI forecasting (demand forecasting / anomaly detection)?
With one to three years of historical data, demand forecasting targets a MAPE (mean absolute percentage error) of 10–20%, depending on the industry and products. For anomaly detection, we combine multiple approaches from threshold-based to machine-learning-based, designed to minimize false positives. We confirm accuracy with a PoC before moving to full operation.
Can existing Excel reports be migrated to BI as-is?
Yes. We reproduce Excel formulas, pivot tables, and charts within the BI tool. We also automate processes that "used to take forever in Excel" or "required manual work every month" — in one case we cut monthly report-creation effort by more than 80%.
I've heard data preparation (cleansing) is time-consuming
That's correct. Data preparation accounts for 50–70% of the effort in a BI build project. Sugureru does not underestimate this. We start only after an initial data review that makes clear "how many hours cleansing will take." We avoid the trap of "building a dashboard that works but is unusable because the data is dirty."
Considering data analytics or a BI build? Start with a free consultation.
We welcome inquiries even at the stage where you're unsure "which BI tool to choose" or "what your own data could reveal." First consultation and estimate are free, and we typically reply within 24 hours.