Unleash the Power of Your Data in the Cloud
It takes a versatile team to understand the intricate nature of Cloud Computing - one that 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 - design, implementation, migration, and operation on the infrastructure.
A strong team equipped with the right tools will help you glide across the chasm and propel your business into the upper echelons in your industry.
Our Data and Analytics Portfolio
Lumiq offers a wide range of data and analytics solutions. All of these integrate and work well with AWS products and services. The most notable of these are: Amazon S3 (Amazon Simple Storage Service), Amazon Amazon Athena, and Amazon Glue.
Amazon S3 is an object storage service that can be used by companies and industries of all sizes. It can be used 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 the data in it. The biggest advantage of Athena is that there is no infrastructure to manage since it is 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. There is no infrastructure to manage here either. You only pay for the resources that are used while your jobs are running, making it a cost-effective solution.
The solutions that make up our arsenal are:
Customer 360
This component is designed to serve and know customers - both new and old alike. Each customer is studied in depth. The component learns by learning about the customer at different touchpoints of its customer journey. Behavior and pattern analysis done over a period of time helps to understand and draw conclusions about the customer. Ultimately, this helps to better serve the existing customer and those like it.
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, fraud analytics helps to ward off fraudsters and catch them even before they make a move. Events of fraud are rare but they can result in huge losses- mostly in millions and billions. Technology has added to their craftiness which is why only pattern recognition methods don’t work. Machine learning powered fraud analytics is the need of the hour.
Predictive Analytics & ML
This component is designed to serve and know customers - both new and old alike. Each customer is studied in depth. The component learns by learning about the customer at different touchpoints of its customer journey. Behavior and pattern analysis done over a period of time helps to understand and draw conclusions about the customer. Ultimately, this helps to better serve the existing customer and those like it.
Data Lake
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.
Big Data Processing
Featuring an arsenal of supervised, unsupervised, and feature engineering techniques, fraud analytics helps to ward off fraudsters and catch them even before they make a move. Events of fraud are rare but they can result in huge losses- mostly in millions and billions. Technology has added to their craftiness which is why only pattern recognition methods don’t work. Machine learning powered fraud analytics is the need of the hour.
Amazon Technologies That We Frequently Use
Our diverse data and analytics solutions portfolio is made of solutions that have the AWS technologies at their core. This makes them state-of-the-art solutions that are capable of managing and fulfilling all your data needs elegantly and efficiently. The specific AWS technologies that we use in our ecosystem are:
AWS EMR
EMR is predominantly used for Data ingestion and Data processing for running large scale workloads. Reserved and spot instances are used for efficient and optimized usage of EMR cluster.
Don’t just take our word for it, check out what our clients have to say!
The team demonstrated their deep understanding of the business, data and AI technology to deliver many successful projects in our Collections and Risk Control departments