Our team understands the intricate nature of Cloud Computing
and builds AWS environments backed with the self-learning
capabilities of AI. As an APN Advanced Consulting Partner,
we invest heavily in engineers who work with complex
technologies and put it to good use. This has enabled LUMIQ
to evolve and serve enterprise clients at scale.
Our team of experts provides end-to-end consultation
in every stage of your transformation journey, i.e., design,
implementation, migration, and operation in infrastructure
management.
LUMIQ’s expertise in data and analytics solutions integrates
seamlessly with AWS products and services. The most notable
Amazon services we work upon include Amazon S3 (Amazon Simple
Storage Service), Amazon Athena, and Amazon Glue. Amazon S3 is
an object storage service for backup, disaster recovery,
archiving, data lake and big data analytics, cloud-native
applications, and hybrid cloud storage.
Once you have Amazon S3, you’ll need Amazon Athena to
analyze its data. Athena’s biggest advantage is no
infrastructure management since it’s serverless. You only pay
for the queries you run. Thanks to parallel processing,
results from queries come back within seconds.If ETL is your
choice of operation, then AWS Glue is the ideal solution. It
is a fully managed ETL service. Here too, no infrastructure
management means you only pay for the resources that are used
while jobs are running.
Customer 360
This component is designed to understand your customers - both new and old. Customer 360 delivers in-depth insights into customer needs. It pursues learning about the customer at different touchpoints along the customer journey. Behavior and pattern analysis are derived over time to promote thorough understanding and fully informed decision-making about the customer.
Real-Time Stream Analytics Platform
If real-time data processing is your cup of tea, then our real- time stream analytics platform will equip you to do so. Machine learning algorithms power it and support streaming datasets from various data sources, endpoints, and mechanisms at low latency as they are generated. It is fit for both synchronous and asynchronous use of data, and also integrates well with consumable feeds.
Fraud Analytics
Featuring an arsenal of supervised, unsupervised, and feature engineering techniques, our ML-powered fraud analytics helps to ward off fraudsters quickly and effectively. Fraudulent events are rare, but when they do occur, they can result in tremendous losses – to the tune of millions if not billions. As a result, companies can no longer rely on pattern recognition to identify and flush out attacks.
Predictive Analytics and ML
As a predictive analytics and machine learning (ML) solutions company, we help businesses build, run, and manage AI models to optimize the key decisions within an organizational infrastructure. Our expertise orchestrate actionable insights from available sets of enterprise data and turn them into transformative business outcomes.
Data Lake
Make smart investments by building data lakes that allow your customers to gain fast access to large and extensive sets of data. Our clients are streamlining their structured, semi-structured, and unstructured data by building data lakes on AWS. Data lakes help companies achieve better insights into business operations and make smarter moves.
Big Data Processing
Create, secure, and optimize the deployable big data solutions as per the changing demands of the businesses. We use AWS to manage expanding volume, velocity, and variety of data through our expertise in building big data infrastructure that caters to the dynamic enterprise needs.
Amazon Relational Database Service (RDS)
Amazon RDS allows the possibility of implementing a SQL-based relational data solution for your application. In implementing data marts, it gives the customer the flexibility of having different hardware through instance types
- 1
Built flawless voice-based customer interaction and delivery processes for a leading bank
- 2
Increased lead scores for ETLI using AI/ ML lead prioritization model
- 3
Simplified Aadhar masking for a lead insurance company using Textract, EC2 & SageMaker
- 4
Automated NEFT verification for BAGIC using Textract, EC2 & SageMaker
- 5
Helped TVSC modernize it's data architecture with our data governance framework
- 6
Transform business processes and product positioning for Clix's digital lending infrastructure
- 7
Taking HDFC Life customization goals to the next level with our AI-powered insights
Problem
This leading bank encountered significant issues in their voice-based customer interaction and service delivery processes. One of the primary issues included inability to audit large call volume that led to agent non-compliance and inefficient monitoring of customer fraud. Subsequently, they wanted us to implement a system that enhanced their agent performances, addressed training needs and retention more effectively. They also wanted to measure customer sentiment, evolving needs, competition and improve NPS, cross-sell, upsell and retention efforts
Solution
Delivered a call centre intelligence system helping in query/request/complaint analysis including keywords extraction for product and query categories.
The system facilitates a wide range of functionalities, i.e., customer sentiment analysis, script analysis, audit assessment, daily voice recording analysis to identify any shifts/trends in customer interaction, real time integration for in-call nudges, cloud-based pay-as-you-go service with deployment on cloud, API based solution, AWS SageMaker, Transcribe, Translate, Comprehend, EC2.
Impact
The system deployed by team LUMIQ has helped this bank to attain 100% voice-driven sentiment and audit coverage with improved NPS scores. Additionally, the deployment enabled a better assessment of training needs of call centre agents and more insightful daily review process.
1
Built flawless voice-based customer interaction and delivery processes for a leading bank
Read More
2
Increased lead scores for ETLI using AI/ ML lead prioritization model
Read More
3
Simplified Aadhar masking for a lead insurance company using Textract, EC2 & SageMaker
Read More
4
Automated NEFT verification for BAGIC using Textract, EC2 & SageMaker
Read More
5
Helped TVSC modernize it's data architecture with our data governance framework
Read More
6
Transform business processes and product positioning for Clix's digital lending infrastructure
Read More
7
Taking HDFC Life customization goals to the next level with our AI-powered insights
Read More
Problem
This leading bank encountered significant issues in their voice-based customer interaction and service delivery processes. One of the primary issues included inability to audit large call volume that led to agent non-compliance and inefficient monitoring of customer fraud. Subsequently, they wanted us to implement a system that enhanced their agent performances, addressed training needs and retention more effectively. They also wanted to measure customer sentiment, evolving needs, competition and improve NPS, cross-sell, upsell and retention efforts
Solution
Delivered a call centre intelligence system helping in query/request/complaint analysis including keywords extraction for product and query categories.
The system facilitates a wide range of functionalities, i.e., customer sentiment analysis, script analysis, audit assessment, daily voice recording analysis to identify any shifts/trends in customer interaction, real time integration for in-call nudges, cloud-based pay-as-you-go service with deployment on cloud, API based solution, AWS SageMaker, Transcribe, Translate, Comprehend, EC2.
Impact
The system deployed by team LUMIQ has helped this bank to attain 100% voice-driven sentiment and audit coverage with improved NPS scores. Additionally, the deployment enabled a better assessment of training needs of call centre agents and more insightful daily review process.
The team demonstrated their deep understanding of the business, data and Al technology to deliver many successful projects in our Collections and Risk Control departments. We benefitted from their consistent data management support.
TVS Credit
Crisp Analytics (LUMIQ) excels in futuristic solution architecture, leveraging strong data science and engineering expertise for efficient, effective data solutions. They smartly utilize Amazon services for tailored solutions.
HDFC Life
LUMIQ's Data Engineering team established a unified system, storing deduplicated customer profiles and loan applications, enabling instant identification for Moratorium, streamlining customer servicing and personalized loan journeys.
CLIX
The team demonstrated their deep understanding of the business, data and Al technology to deliver many successful projects in our Collections and Risk Control departments. We benefitted from their consistent data management support.
TVS Credit
Crisp Analytics (LUMIQ) excels in futuristic solution architecture, leveraging strong data science and engineering expertise for efficient, effective data solutions. They smartly utilize Amazon services for tailored solutions.
HDFC Life
LUMIQ's Data Engineering team established a unified system, storing deduplicated customer profiles and loan applications, enabling instant identification for Moratorium, streamlining customer servicing and personalized loan journeys.
CLIX
LUMIQ stands out in a data-centric landscape. Their deep expertise in cloud technology and insurance, coupled with their extensive experience and remarkable speed help us to surpass customer and partner expectations.
HDFC ERGO