Crewspark Analytics

A Big Data platform for smart businesses
Thanks! We'll keep you informed!
Greater value through automation

The platform focuses on carrying out the heavy lifting of data analytics, enabling downstream teams to focus on answering the fine-grained questions pertinent to your business.

Rich, interactive user-interface

The Crewspark platform is beautifully designed and crafted to provide the most useful and responsive experience possible for both technical and business users.

-->
A foundation in dev ops

Managing raw data at the ingestion phase and providing seamless operational insight into the related KPIs is a core functional area for Crewspark.

Manage date sources with full transparency

Configure data sources for the collection of structured and unstructured data. Test connections, deploy them and monitor behavior, all from the UI.

The Crewspark Platform

The platform consists of the following inter-linked services:

Collection & Monitoring

Seamlessly create and configure connections to multiple data sources and monitor their performance and the reliability of the retrieved data.

Processing & Storage

Crewspark applies best practice techniques in data processing including map reduce and dependency management to ensure the most efficient method of data collection.

Access & Reporting

Gain access to data via the Reports Dashboard, the secure api or simply downloading the raw data directly from the web application.

Store Searchable Data

The storage model uses both long-term raw storage as well as direct indexing with an internal search engine ensuring that the platform has ready access to both the raw and processed files as well as searchable data on demand.

Custom Reports

The Reports Dashboard enables a user to create custom reports across all configured data sources for both time-series and snapshot (single point in time) analysis.

Data Confidence

Being confident with data is the lifeblood of analytical systems. Crewspark provides a single calculated metric for all collected data (as well as individually by source) to quickly measure how reliable and timely the latest processed data is.