In this demo, we will showcase how to build an end-to-end ML-powered ‘data to outcome’ application for data at scale, using a drag and drop approach.
We will demonstrate this using a marketing use case; but the challenges, solution and benefits are applicable for all domains.
The client in this case, needed to sell a new product to their existing customer base in the most cost-effective way, and for that, they needed to identify the customers who were most likely to convert.
In this data to outcome demo, we’ll show how to
- COLLECT: Ingest batch & real-time data, from various sources such as CRM, call center, campaigns and more
- TRANSFORM: Create pipeline to integrate, transform and prepare the data
- PREDICT: Infuse ML into the pipeline to predict which customers are most likely to take action
- RECOMMEND: Build supercharged dash, with real-time actionable insights and ML-powered recommendations
- ACT: Take actions, including calling the prospects, from the same dash
- MONITOR: Use the same integrated dash, to monitor campaign results in real-time
- AUTOMATE: Automate time-consuming business processes and workflows
And, accomplish everything, from a unified platform, without having to write a single line of code.
Gathr’s capabilities on display in this demo
- Unified UX
- Drag and drop UI
- 300+ pre-built connectors
- 300+ pre-built transformations
- ML at scale
- Predictive analytics
- Insights delivery
- Process Automation