Big data made easy for BI analysts & Data scientists
BigBI brings the full power of the distributed Apache Spark™ platform to the hands of data professionals
No programming is needed
No lengthy, weeks-long R&D cycles
Great for processing Big data
BigBI is a drag & drop ETL with the full benefits of Apache Spark™
Distributed in-memory cluster processing, up to 100x faster than other computation platforms
Semi-structured (JSON, XML, etc.)
Efficient processing of semi-structured (JSON, XML, etc.) & non-structured (text, audio, image, video, etc.) data
Batch & streaming
Handles both batch & streaming processing (Kafka, Kinesis, RabbitMQ…)
The market choice
Open Source platform for Big Data processing
AI (ML & DL)
Wide support of AI (ML & DL) algorithms – just plug & play
BigBI Studio is natively built on Apache Spark enabling data professionals full access and control of their data & data pipelines
Visual data discovery
Easy Drag & Drop data pipeline creation
Step by step visual data pipeline debug
Smart running management – Spark execution monitoring, Spark execution progress, error handling & reporting
Deployment management & orchestration
All built for data professional efficiency & accuracy.
Like Apache Spark™ BigBI Studio is a horizontal platform. There are use cases in each vertical that has a need for Big Data analytics: media, financial services, retail & e-commerce, government & law enforcement, healthcare, telecom & cable, Industrial & utilities, mobility & automotive, smart city, IOT, and many more.
Many business functions (i.e. departments) in each enterprise would probably have Big Data analytics use cases.
Use Cases Examples
The most obvious users are the data professional teams (i.e. ETL, BI Analysts, Data Scientists, etc.) in corporate BI departments - wishing to integrate Big Data, semi structured, unstructured and structured data to generate their KPIs.
Marketing, Digital and Social departments
Marketing, Digital and Social departments would like to integrate insights from their customers’ digital trail into their KPIs. Using AI, Machine Learning and Deep Learning in order to enhance digital insights and provide smart recommendations, optimize commercial offering, target advertisements to specific audiences, etc.
Sales departments would like to use customer trails as well as information from similar customers to recommend next best offer for a customer, increase conversion rate, optimize up-sales, etc.
Service & customer experience departments
Service & customer experience departments, for example at telecom or utilities companies, would like to measure customer experience from billions of events, corelate those events with business events to improve customer satisfaction & reduce churn.
R&D departments would like to correlate product usage with performance measurement to identify features that needs improvements for the next product version as well as development of preventive maintenance algorithms, etc.
Law enforcement, cyber security & financial crime prevention
Security related business functions could use graph algorithms, machine learning or deep learning which are effective in many threat identification & incident management use cases
Natural Language Processing (NLP) for Customer care, HR or Billing departments
Smart analysis of text while deploying Natural Language Processing (NLP) algorithms. For example, ingestion of scanned documents or social media text is needed to deploy CV analysis in HR applications. Customer care analysis while could benefit from processing customer free text feedbacks, sentiment analysis of product feedbacks, etc.
Billing departments, for example in the healthcare industry, would like to use NLP + ML for analysis of patient billing documents in order to ensure correct billing codes are accurately applied and prevent revenue leakage.
Fast Meaningful Results From Your Big Data
Integrate Big Data into your enterprise
Deduce valuable insights from Big Data in a very short time
Stop losing precious months and deploy your KPI creation in day/s with BigBI Studio
Enterprise-Grade Solution For Big Data Processing
Manage and Monitor enterprise data life-cycle
Data governance & Data Lineage
Security & Audit