DATA WAREHOUSING

Data warehousing is a methodology used for fetching and
controlling data from different sources to give sensible organization
vision. Using a Data Warehouse, any business can store a large
amount ​of information for query and analysis instead of processing
the transaction electronically. ETL is the system of extracting
information from source structures and bringing it into the Data warehouse.
​

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BENEFITS OF DATA WAREHOUSING

Consistent Data Quality 

It allows departments to maintain accurate results that align with other teams in the organization. It helps to convert the systemized and consistent data from multiple sources into
​a single platform.​

Quick and Easy Access to Data
​
Storing large amounts of data in one place
helps to reduce effort, time, and work. ​Data warehouse helps to forecast the present as
well as future market trends by analyzing
​data and records.
​

Quality Business Intelligence
​ 
Data warehouse strengthens business
intelligence by merging data from different
​sources for better strategic decisions. The consolidation helps improve productivity and lower overhead costs.

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WHY H-TOWN TECHNOLOGIES?

​

• Unique Validation: Data inconsistency arises when similar data
  is stored in multiple files in various formats. Our expert team knows how to validate data quality, enforce business rules and integrate data from heterogeneous systems.
  
  
• Reconstructing Components: Eliminate vintage mainframe
  legacy systems and migrate all your mainframe components to
  Ab Initio components regardless of the complexity of your system.
  
  
• Strategic Implementation: For better analysis, reporting and
  decision making, our data warehouse specialists offer you the best
  ​design in end-to-end implementation of your data warehouse.
  ​

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OUR ENGAGEMENTS

Our Experts have provided Consulting Services for Digital Transformations at the following Enterprise

WELLS FARGO
 
With new requirements coming in from business partners every two weeks, H-Town helps the banking expert in delivering data loads to mapped central tables for each source system data. To facilitate the data integrations from diverse source systems, our industry experts apply the mapping, creating load ready files as per the central repository table layout.

Data Consolidation 
​
​Consolidated multiple data environments by loading major data subject areas into an enterprise data warehouse
​which leads to annual cost reduction of data and reporting function ​by 40%. 

Precise Reporting
​
Business users can produce claim reports daily, monthly, yearly as well as between date ranges. From these reports, business users can get insights about the customer data and the frequency of claims in respective ​periods.

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Extensive Reviewing
​
After delivering the quality
​Ab Initio code, conducted peer design, code reviews as well as extensive documentation of standards, ​best practices, and
ETL procedures.
​

Expertise in Graphs
​
 Extensive work on graph performance tuning techniques and developing graphs provide solutions to the complex business problems. Prepared the System Test Strategy for Ab Initio graphs to extract data from Hadoop
​Data Lakes.

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