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Dashboard Samples

Industry Dashboard Samples (Real Estate & Cram Schools)

Solaris DeepSight provides end-to-end data solutions for a wide range of industries.

By visualizing, analyzing, and automating the diverse data your organization holds, we help improve operational efficiency and service quality.

This page introduces sample dashboards for industries such as real estate and cram schools.

[For Cram Schools]

List of Applicants' Schools & Classrooms

志望者の所属塾・校舎リスト

Click an image to enlarge it.

[Overview]

A dashboard designed to support private schools' sales and outreach activities.

Using the client's mock-exam data, it links each student's first- to third-choice schools with their cram school (classroom), based on the latest exam-attempt information.

• Click any chart to display the linked list of cram schools and classrooms (including group codes) for the selected students.

• Real-time analysis based on each applicant's latest exam-attempt data

[Benefits]

• Select and prioritize sales targets (cram schools and classrooms)

• Understand market trends by school and region

• Increase the added value of mock-exam adoption and support schools' marketing activities

cram schools

[For Cram Schools]

Exam-Certificate Issuance Status

試験結果証明書発行団体

Click an image to enlarge it.

[Overview]

A dashboard that helps private schools and certificate-issuing organizations handle requests for exam-result certificates.

Based on the latest application data, it builds and visualizes lists of first- to third-choice schools — streamlining the verification work needed to issue certificates.

crams chools2

[For Real Estate] Profit Trends by Area (YoY)

Dash YOY_P

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[Overview]

A dashboard for the real-estate industry that visualizes profit trends by area (year over year / YoY).

Track how Total Profit changes by area from year to year — useful for reviewing sales strategy and informing investment decisions.

It also visualizes maximum / minimum profits and year-over-year improvement.

• Year-over-year (YoY) change rates

• Maximum / minimum profit display

• Filtering by fiscal year and area

[Benefits]

• Identify high- and low-growth areas to shape sales strategy

• Reference data for investment and market entry / exit decisions

real-estate

[For Real Estate]

Sales-Results Heatmap by Area × Building Age

Heatmap

[Overview]

A dashboard for the real-estate industry that visualizes sales results by area × building age.

It helps frontline sales staff and management grasp the situation at a glance, and supports sales-strategy planning and analysis of area characteristics.

[Key Features]

• Sales results by area × building age, visualized as a heatmap

• Flexible analysis with filters for property type (layout) and days in inventory

[Benefits]

• Identify priority areas and building-age segments to shape sales strategy

• Use as a status-sharing resource for sales teams

real-estate2

[For Real Estate]

Property Location × Building-Age Analysis

Heatmap

Heatmap

Click an image to enlarge it.

[Overview]

A dashboard that visualizes property trends by area and building age for used-property renovation and resale businesses.

• Flexible analysis with filters (layout, period, days in inventory, and more)

• Check sales volume for specific building-age bands and areas

• Clarify priority areas and age bands for property acquisition

• Explore renovation plans that match market needs

• Sharper targeting for sales strategies and advertising

Note: For confidentiality, the dashboard examples on this page are samples built with dummy data.

They may differ from actual client implementations.

Contact Us

Solaris DeepSight welcomes consultations on data visualization and dashboard development at any time.

"Could you build something like this?"

"Would this work with our own data?"

Specific questions and requests like these are always welcome.

Please reach out via our Contact page.

👉 Get in touch

Email:

dxsolaris@gmail.com

If this has sparked your interest, please feel free to get in touch.

We'll listen to your needs and challenges, and propose the best way to put your data to work.

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