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Bitmutex Technologies offers comprehensive analytics-driven solutions, leveraging cutting-edge tools like Apache Kafka, Apache Spark Streaming, and Amazon Redshift to empower businesses. We specialize in insurance analytics, web analytics, and energy data analytics, improving performance through big data, IoT, and real-time streaming applications. Our expertise spans OLTP and OLAP systems for transactional processing and large-scale analysis, using platforms like Tableau, Google BigQuery, and Snowflake. From data lakes to real-time field data aggregation, we provide actionable insights to optimize decision-making across industries.
Our web analytics services provide deep insights into user behavior and engagement patterns, which can be seamlessly integrated into marketing automation systems. We optimize customer experiences using Google Analytics, Mixpanel, and HubSpot, turning data into measurable success.
With our proprietary algorithms at the Fog layer, we empower businesses to increase energy productivity using IoT and Big Data analytics. We work with platforms such as Apache Kafka, Apache Storm, and Flume for real-time data streaming and processing.
Bitmutex Technologies specializes in building real-time streaming applications for analytics and decision-making. Using tools such as Apache Kafka, Apache Spark Streaming, and Flink, we create scalable, low-latency applications to manage vast data streams and drive instant business insights.
We help organizations manage and extract value from vast amounts of structured and unstructured data by implementing data lakes and data warehouse solutions. Leveraging tools like Amazon Redshift, Snowflake, Apache HBase, and Google BigQuery, we provide a unified repository for high-performance analytics across your enterprise.
Our real-time field data aggregation platform processes data from thousands of sources including web, mobile, messaging, and IoT devices. We use OLTP databases like PostgreSQL and MySQL for transactional processing and OLAP tools like SAP HANA and ClickHouse for large-scale data analysis and reporting.
We enable insurers to harness the power of big-data analytics to enhance decision-making processes. By integrating OLAP and OLTP systems, we drive improvements in persistency, cross-sell/up-sell opportunities, fraud detection, and claims management. Our technology stack includes: Apache Hadoop for large-scale data processing Apache Hive for data warehousing solutions Tableau and Power BI for advanced data visualization and insights