The BFSI segment is investing considerable amounts of resources to achieve their digital ambitions. The new age technology-driven disruptive business landscape provides financial institutions, banks, and insurance companies significant opportunities to stay competitive and ahead of the curve. Zura Labs enables banks, financial businesses, and insurance companies to embrace the digital journey by harnessing their most valuable asset – Data! Our suite of point solutions as well as end-to-end automation and data solutions help BFSI enterprises improve customer satisfaction, increase revenue, and reduce the risk of failure. Our deep expertise and proven experience with microservices, data engineering, data warehousing and automation technologies can help you leverage the power of data to mine actionable insights and achieve digital transformation.
The BFSI segment is investing considerable amounts of resources to achieve their digital ambitions. The new age technology-driven disruptive business landscape provides financial institutions, banks, and insurance companies significant opportunities to stay competitive and ahead of the curve. Zura Labs enables banks, financial businesses, and insurance companies to embrace the digital journey by harnessing their most valuable asset – Data! Our suite of point solutions as well as end-to-end automation and data solutions help BFSI enterprises improve customer satisfaction, increase revenue, and reduce the risk of failure. Our deep expertise and proven experience with microservices, data engineering, data warehousing and automation technologies can help you leverage the power of data to mine actionable insights and achieve digital transformation.
With extensive experience in sales, transaction, customer and spend analysis, we enable you uncover insights from real-time data.
Business Operations
Your operations teams can now leverage our expertise of building data warehouse and data marts designed to support different business needs from regulatory, operational and management reporting to very complex ad-hoc analysis and simulation. Our modern data warehouse architectures are built using best practices and clean relationships and are future proof to deal with next-gen requirements. Our solutions are designed to be built incrementally for cost effectiveness and reduced risk of failure.
Back Office Teams
Zura works with back-office teams to help them plug gaps in their customer database by using data enrichment, data cleansing, secure delivery and real-time updates. This will help your teams uncover hidden patterns and make data-driven decisions.
Customer Segmentation Analysis
We work with you to leverage data pertaining to demographics, geography, income, spending habits and interests and segment their customer base for better targeting and enhanced customer experience.
Transactional Analysis
Our suite of automation and data solutions can analyze the various customer transactions such as deposits, withdrawals credit card / loan / bill payments to help you understand the spending patterns. This in turn helps you in offering customized offers to their customers on their various financial products like credit cards, short-term and long-term personal loans, auto loans, education loans, mortgage, fixed deposits, etc.
Branch and Online Channel Sales Analysis
Your sales teams can leverage the power of real-time data pertaining to their customers’ journey across multiple channels branches, ATM, online banking, phone banking and other channels.
Spending Power Analysis
Your sales teams can better understand the size or quantum of the product(s), customer is likely to spend on.
Development of Credit Risk model for a Consumer Lending, Finance, Financial Services based in Jakarta that provides affordable unsecured personal loan (KTA) exclusively to smartphone users. Leveraged internal data and procured targeted external data.
Creation of data ecosystem for AI Powered Document Indexing system for leading Insurer in SE Asia to process 14Million plus policy documents per year.
For a leading P&C insurer, developed an ML model to predict policy renewal probability and prioritize interventions for disengaged customers.
For leading P&C Insurer, created ML model to drive new customer acquisition (cross-sell) and up-sell, prospecting high probability candidates with a higher chance of buying a policy or upgrading the existing one from a larger database of customers.
For a leading Southeast Asian insurance company, computer vision, OCR, and NLP/NER are employed to efficiently index customer documents for regulatory compliance and future retrieval. These tools also extract key information from claims-related documents, such as bills and invoices, to streamline auto-adjudication and improve claims processing.
Customer was able to make consolidated data available to all top level management without any manual intervention. Read our case study about how we did it!
Business reports were delivered in a matter of minutes as opposed to the number of hours spent by their IT team to generate the reports earlier. The time saving was realized across multiple teams with scheduled reports.
Business leaders were able to generate and access customized ad-hoc reports with self-service capabilities. Due to the presence of advanced data security measures, users can access the data that they are permitted to.
Our advanced business intelligence offering enabled the customers to transform some physical branch activities to digital branch offering a customer specific omnichannel experience.
We have helped customers build the foundation to meet regulatory reporting requirements, decision support systems and executive KPIs.
Customer Satisfaction