Smart Machine Analytics
- Smart Data Modeling from disparate data sources
- Answers questions in natural language with visualized answers
- Delivers Smart Insights and Smart Prediction
- Provides suggestions dynamically for slice-dice and drill-downs
- Enables saving, sharing and in-place collaboration
- Secures data and restricts access by roles
Natural Language Search & Analysis
DataRPM is the industry's first and only solution to provide a natural language and search-based interface to analyze big data. Just point to your data source, let DataRPM's smart machine analytics solution index your data and then start asking your business questions to instantly get visualized results.
DataRPM translates the business question into the appropriate data query automatically, triggers the query and return the results in real-time with the best matching visualization. You can slice-dice, drill-down and filter the results on the fly. Add comments and collaborate with team members on reports or specific data points.
Smart Data Modeling From Different Data Sources
DataRPM's Smart Data Modeling uses sophisticated algorithms to automatically and dynamically create data models and identify entities and relationships in your data.
Create datasets automatically from data residing across different database tables and across different datasources altogether. You don't have to worry about writing SQL or doing aggregations as DataRPM does that automatically for you.
Use our ready connector into various relational databases, big data systems like Hadoop, NoSQL systems, 3rd party services. Push data via our APIs or SFTP drop box. Or just tell us where your data resides and DataRPM automatically does the ETL.
Smart Insights & Prediction
DataRPM’s Smart Insights enable you to automatically and instantly derive key business insights from your data, without having to spend hours or days in manual analysis.
DataRPM’s Smart Prediction lets anyone in your company leverage the power of predictive analytics, without requiring knowledge of data science or coding experience.
Ad-hoc Reports & Dashboards
Design reports with various useful visualizations on an ad-hoc basis using the simple drag-and-drop report builder.
The reports come with built-in support for dynamic drill-downs into any dimension in the data, raw data views and dynamic filters which makes them highly interactive.
Create multiple dashboards by grouping various reports together.
Empower your business users to also create reports and dashboards themselves using the intuitive interface.
Data analysis becomes much more effective when people can have discussions around data - ask questions, discuss action items and generally collaborate. Traditional way of exporting static reports images and collaborating over multiple email threads is highly cumbersome and in-effective.
This is why DataRPM has collaboration built into the product where users can have in-place discussion on reports and even specific data points, reply on existing discussions and include and address specific users in a discussion thread.
Discussions are real-time and live which makes it more effective and drives quick actions on data.
Functional & Data Security
We understand that security is of utmost importance in BI and Analytics and even more on a cloud service. As such, security has been a key criteria of our product and platform design.
DataRPM enables Project Admins to define various role based security groups with access restrictions into datasets, explorations, reports and dashboards.
We also have state of art security on our data storage layer which resides in distributed binary files.
Disk storage with intelligent Just In Time (JIT) Memory to scale out for big data on cheap commodity hardware.
No pre-aggregated cubes. Real-time distributed computation enables ad-hoc analysis.
Smart Machine learns continuously from user behavior and gets smarter over time.
EMBEDDABLE WITH SSO
Easy drop-in embeddable analytics in any browser-based software with Single Sign-On (SSO).
SAAS SOLUTION ON SITE
Unique auto-managed SAAS-efficient delivery on cloud as well as on premises.