QBrainX INC Data Services

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DataServices 4F00BF
ISO 270012013 CERTIFIED

• We deliver digital workflows that create great
  experiences and unlock productivity.

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CompanyOverview

• 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

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Business Capabilities
Business Value
Data Management
Data Excellence
GOALS
ENABLERS
RESULTS
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Data Services
We provide the best software development
professional business solution and strategy for
increasing your business growth.
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Data Modernizationusing Cloud
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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
AGILITY by delivering the project outcomes using
advanced data transformation features and
configurable rules
DATA MODERNIZATION Data at your fingertips
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DATA MODERNIZATION Our Experience
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Data Governance
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DATA GOVERNANCE Our Experience
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Data Engineering
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DATA ENGINEERING Our Experience
Expertise in Data Pipelines / Data
Platforms (Customer-Centric Technology Agnostic)
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Tools Expertise
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QBrainXs Enterprise Data Methodology
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Partnership
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Case Studies

• An overview of our Big Data Capabilities

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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

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Case Study 2
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 couldnt 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.

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Case Study 3
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

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Contact Us
contact_at_qbrainx.com