Banking data warehouse solutions

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What we offer

The appropriate data management in banks ensures information quality and consistency. Data warehousing development services help banks build more effective processes for data collection, processing, storage, exchange, analysis, etc. Gathering information from various sources and converting it to valuable insights are the main objectives of DWH software.

Through the right technology, we help banks use their data as efficiently as possible. Our expertise allows us to build, upgrade, modernize DWH solutions, and make them addressing your current and future organizational needs.

We are one of the data warehouse consulting companies focused on overcoming your challenges with data ubiquity, the large volume of information, new customer demands. We also know how to harness predictive analytics and Big Data to help your organization make data-driven decisions and accurate forecasts of future customer behavior and demands.

DWH for reporting and analysis

DWH solutions reduce the time for preparing financial and managerial information, reporting, cost-benefit analyses. Along with this, they give the following benefits:

  • Minimizing errors in administrative and financial reports
  • Quick access to information
  • Multivariate data analysis
  • Accurate forecasts of competent
  • Cost-benefits analyses of branches, new products, or services
  • Customer profitability segmentation

DWH for credit risk management

DWH software can significantly help banks govern their risks in the following areas:

  • Non-payment monitoring
  • Forecasting of effects on the credit policy
  • Prediction of credit usage structure
  • Direct credits abuse

DWH for retail target marketing

A holistic view of the bank’s clients helps improve customer retention and attraction. DWH solutions offer excellent capabilities to gain a 360-degree view of your customers by gathering in-depth analytics on behavioral patterns, historical and real-time data, and other data pertaining to marketing purposes.

  • New markets analysis
  • Customer behavior analysis
  • Marketing campaigns assessment
  • Client-product matrix
  • Personalized offering
  • Cross and up-selling

Relational database for data warehousing

Banks need relational databases when they plan that their data warehouse will grow. They ensure scalability to support a large volume of data and the following capabilities:

  • Customer segmentation
  • Risk modeling
  • Customer demands identification

Data warehouse development

We provide data warehouse services to build DWH solutions for banks, including the development of the following features:

  • Data collection mechanisms
  • Data storage
  • Data aggregation, data marts
  • Analytical data processing
  • User access rights
  • Data visualization
  • Documents flow

Software-defined storage (SDS) development

We design, develop, and implement software solutions for extract, transform, and load (ETL) processes, data quality management (DQM), and data masking.

  • Automated data management
  • APIs for managing, allocating, and releasing resources
  • Virtualization of data access
  • Storage infrastructure
  • Storage resources monitoring and management

Data warehouse consulting and upgrade

We consult our clients on custom and existing DWH solutions and licenses in accordance with your current and future needs and challenges:

  • DWH software upgrade, customization, modernization
  • Consulting on DWH products licensing
  • Business analyses and functional requirements

Your one-stop solution for Data Analytics, Data Warehousing, MIS Reporting, Business Intelligence Reporting

Get the Perfect Data Analytics Software

Data Categorization-Efficiently organize your data

Structured Models-Link your data elements logically and get effective usage and sharing of your data

Data Visualization-Graphically represent your information and data by using visual elements like maps, charts, & graphs

Grouping Data-Assign your data into groups of different frequencies and ranges.

Analyzing Data-Collects, inspects, cleans, transforms, and models data to form conclusions.

Enhancive Charts, Graphs for Insights- Enhancive insights with effective visualization

Our Excellent Features

Scalability
Accommodates a large quantity of data with the potential to expand, and make room for the growing amount of work.

Embedded Analytics
Delivers smart work by integrating relevant data and analytics to solve high-end business problems.

Visual Dashboard
Visually display all your data and outline important information at a glance.

Raw Data Processing
Converts unorganized data into a more readable format through graphs and documents.



REASONS TO CHOOSE DATALICS

  • Gives You Enhanced Customer Experience
  • Risk & Fraud Reduction
  • Enhanced Analytics
  • Real-Time Information
  • Get Competitive Advantage