Our Big Data Implementation Services

Organizations can strategically deploy data assets to provide meaningful insights that was not possible in traditional ways, using structured data. Big Data implementation can enable data collection and storage from new sources like mobile devices, IoT devices, social media networks and click stream data of websites. Organizations can process the data in real time and take appropriate business decisions, identify opportunities and promote their products and services in a timely manner, as well as analyze historical data and predict customers’ behavior.

Compassites has been working with companies towards:

  • Identification of base data that is responsible for specific business goals
  • Implementation of data capture mechanisms depending on the data rate
  • Data lake architecture and implementation
  • Implementation of visualization using right tools

Know your customers better
with real time analytical insights

CLIENT STORIES

Download our case studies to learn more about how we overcame the complex business challenges of our valued clients.

Android & iOS

Stanford University

Our data visualization solution helped Stanford understand the effectiveness of its online courses.

Read More »

Android & iOS

Fusion Charts

Our solution helped Fusion Charts render, display and customize their data for dynamic reporting.

Read More »

Android & iOS

Beverages

We created a custom data visualization solution to render massive volumes of complex raw data on the web.

Read More »

Android & iOS

Immumetrix

Our cloud-based tool automated data crunching, reducing processing time and equipment significantly.

Read More »

Android & iOS

Zyme

Our data reporting tool helped Zyme anticipate sales trends and also enabled data transparency. 

Read More »

Android & iOS

Transformanz

A complete data collection, validation and reporting tool that capitalized on Liferay's robust CMS.

Read More »

Android & iOS

9Lenses

9Lenses' agile data processing tool eliminated data entry and analysis complications through automation.

Read More »

Real Time Analytics