Big Data
As a Service
End-to-end
data pipeline
in one single platform
End to end platformdeployingestmachine learninganalytics
From Data to Insights in a self-service platform
Self-service
to a new Big Data Environment
in just a few 'clicks'
Data ingestion
or bring your own ETL
Machine Learning
and customer experience
Analytics
Self-service
With the Isthari Big Data as a Service platform you can forget about provisioning hardware, installing, configuring and maintaining your Big Data Infrastructure.
You can define your environment from a Web User Interface using the click to deploy functionality
And just focus on the data and the insights
Data Ingestion
Most Big Data projects fails at the first step: getting the right data
Movilize your data, using the Big Data built-in ETL tools with connectors for your on premise, cloud or external data sources
Machine Learning
Use Machine Learning to extract the business insights in your data
Don't get stuck in proprietary software or algorithms, the Isthari Platform support the most comprehensive set of Machine Learning and Artificial Intelligence tools, including: Jupyter Notebook, Tensor flow, Spark R, Python
Analytics
Leverages your investment in traditional Business Intelligence tools and just connect them to the Isthari Platform to distribute your Machine Learning and Artificial Intelligence results
With connectors for the Top BI tools including: Tableau, Power BI, Microstrategy, Qlik
Use cases
Clam fraud scoring, cross selling, marketing campaign optimization, cold calls, propensity to buy, customer retention
Insurance
Use cases
Anti money laundering, credit card risk scoring, credit card real-time fraud, customer segmentation, cross selling, propensity to buy, churn prediction
Banking
Use cases
Marketing campaign optimization, propensity to buy, customer segmentation, targeted advertising
Marketing
Use cases
Destination recommendation, propensity to buy, cross selling, customer segmentation, marketing campaign optimization
Travel & tourism
Use cases
Product recommendation, in store IoT analytics, sentiment analysis, customer segmentation, propensity to buy, churn prediction
Retail
Use cases
Smart homes, market value prediction, neighborhood demographics analysis, marketing campaign optimization, segmentation