Anonymous real-estate analytics case study

Delivering mobile business analytics across iOS, Android, and Windows

Tailored iOS, Android, and Windows experiences gave managers consistent access to operating and sales analytics through shared web services and SQL Server data.

  • Real Estate
  • Mobile Analytics
  • Cross-platform
  • Data Visualization

The situation

Managers needed concise operating and sales insight while moving between devices and work contexts.

Complex business data existed in shared systems but was difficult to review away from desktop tools.

Each device needed an interface suited to its screen while preserving a consistent analytical view.

Anonymous phone, tablet, and desktop analytics views connected by one live data spine with tailored charts, comparisons, and drill-down controls.
Concept interface illustrating the documented cross-platform analytics workflow; actual client implementation not shown.

The challenge

Translate the same operating data into clear, device-appropriate analytics across three platforms.

Consistency in data could not mean duplicating one interface at every screen size.

01

Multiple platforms

iOS, Android, and Windows required tailored interaction patterns.

02

Compact visualization

Complex operating and sales information had to remain quickly readable.

03

Shared truth

Every application needed the same underlying data and reporting logic.

The solution

Platform-specific applications connected to common web services and SQL Server reporting data.

Each experience used a suitable presentation layer while sharing the same analytical foundation.

  1. 01

    Design the views

    Select charts, comparisons, alerts, and drill-downs suited to mobile decision making.

  2. 02

    Build for each platform

    Create native iOS and Android experiences and a Windows application with .NET and WPF.

  3. 03

    Connect shared data

    Use common web services and SQL Server data for consistent reporting.

How the work was structured

The product separated shared analytics from the interaction patterns of each device.

A common service contract kept filters and selected dimensions aligned.

Phone views emphasized signals and alerts, while larger screens supported comparison and drill-down.

Data visualization remained consistent enough for managers to move between platforms confidently.

01Select

Choose the operating dimension.

02Compare

Review performance patterns.

03Drill down

Inspect the relevant segment.

04Act

Carry the insight into work.

The result

Managers gained consistent business analytics across mobile and Windows devices.

The documented applications connected tailored device experiences to one shared view of operating and sales information.

Cross-device accessfor operating insight
Shared data servicesfor consistent reporting
Tailored visualizationfor each screen context

Information became portable

Managers could review key operating signals away from desktop systems.

Interfaces fit the device

Each platform used an appropriate level of detail and interaction.

Reporting stayed aligned

Shared services kept the analytical foundation consistent.

Case taxonomy

Searchable by industry, technology, product, and business need.

Industry and product

  • Real Estate
  • Business Analytics
  • Mobile Applications
  • Management Reporting

Technology and delivery

  • iOS
  • Android
  • Windows
  • .NET
  • WPF
  • Java
  • Web Services
  • SQL Server

Business need

  • Mobile Analytics
  • Data Visualization
  • Operating Performance
  • Sales Performance
  • Cross-platform Access

Put the same operational truth on every working screen

Need analytics designed for mobile, desktop, and shared data services?

Talk to our team

Get in touch

Ready to build software that fits your business?

Tell us what you need to build, modernize, automate, or augment with AI. We can start with a focused discussion or a no-risk 1-week trial.

“A fantastic company to work with.” After the initial rapid development project, American Shipping Co. kept two Shinetech developers embedded for nearly four years, supporting internal and external tools and new AI initiatives.
Marc Greenberg testimonial portrait Marc GreenbergCEO, American Shipping Co. - 5-star Google Review

Response within 1 business day.