bankintelli > Data Management Services > Data Warehousing Services (Cloud and On-Prem)

Data Warehousing Services (Cloud and On-Prem)

In the banking industry, data warehousing services are critical for managing and analyzing the large amounts of financial data generated by transactions, customer interactions, and regulatory requirements. Data warehousing services for banks can be provided through both cloud-based solutions or on-premises solutions, depending on the specific needs of the organization. Banks need to ensure that the data warehousing solution they choose is compliant with banking regulations and security requirements, as well as that it can handle the large volume of data generated by the banking industry.

Data warehousing services can be used by organizations to gain insights from their data, improve decision-making, and support business intelligence initiatives. By providing a single source of truth for data, it also enables organizations to reduce data silos and improve data governance.

On Premise

What are Data Warehousing Services?

Data warehousing services for banks refer to the process of collecting, storing, and managing large amounts of financial data from various sources for reporting, analysis, and decision-making purposes. These services involve the design, development, and maintenance of a data warehouse, which is a large, centralized repository of financial data that is optimized for reporting and analysis. Data warehouses can be created on-premise using traditional tools and databases or it can be created using Cloud services like Snowflake.

Building Data Lakes and Data Warehouses

We build data lakes and warehouses and provide comprehensive BI solution:

  • Data acquisition strategy creation
  • Data profiling and data quality enrichment
  • Data modeling and warehouse creation or data lake setup
  • Data integration and load
  • Reporting and analytics

Architecture, Roadmap and Maintenance

We offer consulting and support on existing warehouses:

  • Study and evaluate bank’s existing data architecture to find out gaps in data acquisition, integration and dissemination
  • Create ‘To-Be’ architecture and high level roadmap to overcome the gaps and challenges
  • Integrate  new data sources
  • Add additional attributes in existing data sources for enhanced reporting/analytics capabilities
  • Performance tune the warehouses on cloud or on-prem

Usage of data warehousing services in the banking industry

  • Risk Management: Banks can use data warehousing services to collect and analyze data on customer behavior, financial transactions, and market trends to identify and manage risk.
  • Customer Analytics: Banks can use data warehousing services to analyze customer data and gain insights into customer behavior, preferences, and needs to improve customer service and drive revenue growth.
  • Compliance: Banks are subject to strict regulatory requirements and using data warehousing services can help them to collect, store, and analyze data to ensure compliance with regulations such as AML, KYC and others.
  • Fraud Detection: Banks can use data warehousing services to analyze transaction data and detect patterns of fraudulent activity.
  • Business Intelligence: Banks can use data warehousing services to gain insights into their operations, performance, and market trends to improve decision-making and drive business growth.

Bankintelli Key Differentiators

  • Deep understanding of financial domain and products
  • Extensive experience in building financial warehouses and data marts to address challenges at banks and credit unions
  • Predefined structured methodology and approach with reusable components and assets to accelerate the development activities
  • Clear visibility into use cases like Risk Management, Customer Analytics, Compliance, Fraud Detection, etc. governing our approach to data modeling for financial warehouses

Bankintelli Key Data Warehousing Services

Data warehousing services can be provided through both cloud-based solutions or on-premises solutions, depending on the specific needs of the organization. Many companies opt for cloud-based data warehousing solutions due to the scalability and cost-effectiveness it offers. Bankintelli offers:

  • Data Integration: This involves collecting data from various sources such as transactional systems, log files, and external data sources and integrating it into the data warehouse.
  • Data Cleaning and Transformation: This involves cleaning and transforming the data so that it is consistent and can be easily used for reporting and analysis.
  • Data Loading: This involves loading the cleaned and transformed data into the data warehouse.
  • Data Modeling: This involves designing the structure and organization of the data within the data warehouse to make it easy to understand and use for reporting and analysis.
  • Data Management: This involves managing and maintaining the data warehouse, including monitoring performance, managing security and access, and ensuring data integrity.
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