QBrainX INC Data service

Company Overview



Founded by veterans of Information Technology architects in 2018 headquartered in Troy, Michigan, with development centers in India

 300+ Employees 

Enterprise Solution Architects and Specialists with 40+ years of experience

Domain Expertise across many industrial verticals that includes BFSI, HealthCare, Manufacturing, Retail, Energy and more

Strong foothold and client base in different geographies like USA, UK, EMEA and APAC

Energetic community of IT professionals, who are visionary, smart working with bigger goals and stronger focus

Data Modernization using Cloud

Data Modernization using Cloud

PREDICTABILITY

by providing various dashboards and data insights

EFFICACY

by saving business users time with automated ruler discoverer and prebuilt rules repository

DATA MODERNIZATION

Data at your fingertips

AGILITY

by delivering the project outcomes using advanced data transformation features and configurable rules

Data Governance

Data Engineering

P a r t n e r s h i p

Case Studies

An overview of our Big Data Capabilities

Case Study 1

Challenge Our Solution Solution Components

Our Auto-Home-Life insurance customer was having a legacy data infrastructure setup few years ago and many data systems were interacting with each other on the monolithic data architecture & design patterns. As the business improved and the customer base has enormously changed, the existing infrastructure & operational patterns were not capable of scaling up to the demand & provide business analytics for the decision makers.

Our team of data experts had analyzed the fallback design patterns which consume a lot of processing power due to the way they are designed & proposed the following:

• Disintegrate the data integration pipeline which was following the centralized design thinking and integrate them using the Data Lake built using Cloudera.

• Transform the old school data marts into manageable Cloud Data Stores to increase the business intelligence efficiency.

• Introduce Data Quality patterns and reduce a 50% of human operational effort

• Data Lake Modernization

• AWS RedShift & Azure Data Factory

• Talend Data Quality

Challenge Our Solution Solution Components

Our customer who has been using heavy CRM based business functions was struggling to manage their Operational Reporting had frequent complaints from the Marketing team who couldn’t adhere to their business SLA due to the slow system responsive time.

• Our Performance Assessment team has reviewed the architecture foundation and identified the pain points where the data takes 3X time than the current trend to travel from one point to another.

• Transformation phase of the data pipeline was identified to be causing the challenge & recommendations were given to introduce the modern AI based transformation methodologies using the Open Source and cost-effective solution.

• The data pipeline that took 30 minute to traverse from first leg to final leg is now made available to be distributed in less than 10 seconds.

• Python Data Libraries.

• Elimination of heavy data pipeline using IBM DataStage.

Challenge Our Solution Solution Components

Our mid-size retail customer had a requirement to build a data product out of their Point-Of-Sale System and cater the needs of Finance & Marketing team so they can design the sales strategies & seasonal adjustments in a timely manner.

• We have proposed data architectural solutions that had a mix of sturdy data model using the Data Vault mechanism

• Built a Data Lake House solution on Cloud which made the data delivery seamless & effortless to develop and implement.

• Data Vault

• Snowflake Data Mart

• Talend for Data Integration