Overview
Big Data implementation with enterprises over years becomes complex and building AI/ML based analytics will be difficult. There is heavy dependence on IT resources for Analytics setup and support new use cases.
Sparkflow is Next Generation of Self-Serve Big Data Analytics & Applications that helps organization to carry out complex exploratory analytics in simplified and quicker manner.
It allows enterprises to connect to multiple new data sources in addition to existing ones and build AI applications within weeks.
Big Data implementation with enterprises over years becomes complex and building AI/ML based analytics will be difficult. There is heavy dependence on IT resources for Analytics setup and support new use cases.
Sparkflow is Next Generation of Self-Serve Big Data Analytics & Applications that helps organization to carry out complex exploratory analytics in simplified and quicker manner.
It allows enterprises to connect to multiple new data sources in addition to existing ones and build AI applications within weeks.
Key Features
- Data Ingestion / Preparation / ETL from all popular sources
- 150+ Connectors / File Formats
- Graphical Workflow engine to build analytics
- In built ML/NLP/OCR support
- Analytics & Visualization, Rich Dashboard
- Rest based API for 3rd party integration
Benefits
- Quick deployment of AI/ML basis Analytics
- Open Source based platform both on Cloud and On Prem installations
- Building Dashboard in minutes
Use Cases
Self Serve Analytics
Enterprise can install sparkflow,can connect to existing data sources as well new streaming/social media, create work flow to build E2E analytics application and display results in rich dashboard.
Healthcare Analytics
US based Healthcare company had deployed sparkflow to build in house analytics. They are using more than 150 in built operators to create numurous applications arround.
Telco Big Data Analysis
Tier 1 US operator uses this to do do predictive analysis of customer churn, marketing promotions etc.
