Flytxt's comprehensive data monetisation solutions help enterprises to personalise customer experience across digital touch points as well as increase revenue, optimise margins, and enhance loyalty.
Personalization Software and Engines Software
High Performance, Carrier Grade Platform.
Infinitely Scalable, Hybrid Architecture.
Real-time Analytics with Low Latency.
Continuous Insight Generation with Distributed Processing.
Advance Analytics-driven Internal Monetization Platform.
Business Objective Driven Applications.
Delivering 2-4% New Revenue Streams for Telcos.
Contact for Pricing
Small (<50 employees), Medium (50 to 1000 employees), Enterprise (>1001 employees)
Flytxt's comprehensive data monetisation solutions help enterprises to personalise customer experience across digital touch points as well as increase revenue, optimise margins, and enhance loyalty.Flytxt has consistently delivered 2 to 7% economic impact to its customers with its full solution stack combining technology, packaged analytics, business applications, and enabling services. Flytxt’s high-performance Big Data Analytics platform is designed to integrate Fast Data, Big Data for deriving deeper actionable insights. It follows a hybrid architecture combining scale out clusters running Hadoop with traditional RDBMS as a metadata store and an in-memory database for Real time transactional data processing. This architecture brings in high availability and disaster recovery mechanisms. Infra planning and deployment tools help to plan and deploy large scale clusters quickly. Flytxt is mobile consumer analytics solution provider for global enterprises. The Flytxt team is guided by the values of Ambition , Integrity , Innovation , Collaboration and Excellence . Flytxt nurtures innovation through creative thinking and breakthrough approaches in Big Data Analytics and Telecom Marketing techniques.
The company encourages a collaborative approach unifying the actions of Technology, Consulting and Execution teams in order to guarantee the value delivered to its customers. Flytxt ensures high degree of excellence in what is delivered to its customers, through adhering to superior technology, processes and global best practices. The company preaches integrity to remain open, honest and committed to all promises given to its customers and stakeholders. Flytxt team is constantly encouraged to remain ambitious in taking up newer challenges and attempting newer avenues to realize more economic value for customers. Flytxt has emerged as one of the fastest growing Mobile Consumer Analytics solution provider globally. The company has won major recognition and endorsements from thought leaders, customers and industry experts for technology leadership, business innovation and value delivery. Flytxt partners with enterprises in their digital transformation journey, enabling them to generate measurable economic value from data through mobile consumer analytics. Flytxt's comprehensive data monetisation solutions help enterprises to personalise customer experience across digital touch points as well as increase revenue, optimise margins, and enhance loyalty. Flytxt Big Data Platforms are architected to enable enterprises to derive measurable economic value from underlying data assets faster and efficiently. Big data platforms encompasses three layers – data ingestion layer at the bottom to integrate big data, fast data, an analytics layer at the centre with advanced analytics and machine learning capabilities as well as business workflow layer at the top automating the desired business workflows to realize economic value. Flytxt’s high-performance Big Data Analytics platform is designed to integrate Fast Data, Big Data for deriving deeper actionable insights.Flytxt has adopted stream processing and in memory database technologies for achieving low latency in real time analytics. It follows a 2 stage process for trigger generation from fast incoming data streams - event discovery and trigger generation. Flytxt has extended Hadoop libraries to enable distributed implementation of various analytics algorithms and models. A custom engineered automated workflow generator is implemented for creating distributed analytical model which eliminates typical distribution overheads.