Banking data warehouse development

Need a data warehouse for banking? DICEUS offers end-to-end banking data warehouse development services, starting with a discovery phase and ending with testing and deployment.

Banking data warehouse development involves services that help banks build more effective processes for data collection, processing, storage, exchange, analysis, etc. The main objectives of DWH software are gathering information from various sources and converting it into valuable insights.

Through the right technology, we help banks use their data as efficiently as possible. Our expertise in software engineering for the banking sector allows us to build, upgrade, and 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, and new customer demands. Our team knows 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.

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DWH for reporting and analysis

DWH solutions reduce the time needed to prepare financial and managerial information, report, and conduct 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
  • Cost-benefit 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

Data warehouse 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 for their data warehouse to grow. They ensure flexibility and 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 product licensing
  • Business analyses and functional requirements


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Banking data warehouse development

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Free consultation on a custom data warehouse in banking

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Benefits of data warehouse in banking

Data warehouse providers allow modern banks to address many challenges related to data quality and management. Custom or modernized DWH solutions can help you overcome these challenges faster and get quick ROI. Below are the most frequent issues that can be solved by implementing the right DWH technology.

Reduced costs

DWH solutions enable the right support for several disparate data systems, which was earlier expensive when using legacy data storage systems. Data preparation time will also be reduced.

Data consistency

Resolve the challenges of unstructured data, minimize errors in operational and financial data, and improve data accuracy. DWH allows you to organize all banking information and get a single view of your business.

High scalability

With legacy data storage systems in place, there is definitely a lack of potential for data volume growth. Modern data warehousing solutions ensure high scalability and the right business continuity.

Quick access

Among other advantages data warehouse development services can bring to your bank are seamless access to data and increased customer attraction and loyalty due to improved customer service.

Data warehouse in banking industry requires continuous modernization.

Write to us if you need to upgrade your DWH.

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2011the year DICEUS was established
130projects delivered successfully
8offices around the world
GlobalDelivery Center in Poland
250full-time tech professionals
100IT services available

Our data warehousing development process

DWH infografic

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DWH infografic

We have a well-established procedure for data warehouse development that consists of the following stages:

Business and functional analysisWe gather, formalize, and prioritize requirements from all stakeholders. Detailed requirements for data marts, reporting, and data migration are further formalized according to the project roadmap. Next, we create a functional specification and a banking data warehouse model. It may include, but is not limited to, the following: data marts, reporting, procedures and algorithms for data loading and storing, data cleansing procedures, data quality control, and other procedures.
Design and developmentWe are data warehouse solution providers who can build and modernize DWH for your organization. First, we prepare the client’s IT infrastructure for implementing the project and perform data cleansing, enrichment, and quality management procedures. Next, we develop data storage and data marts, and finally, we set up the tools for analytics and reporting.
Deployment and implementationThe implementation stage includes data migration, testing, data cleansing, enrichment, and the implementation itself. We also provide user training, maintenance, and support.

What impacts your project duration

Every DWH differs from another as well as the challenges our customers face differ. Thus, we apply the critical path analysis to calculate the minimum time required to complete it. Combined with a Work Breakdown Structure (WBS), this approach allows us to inform the client about the approximate completion date. However, based on our experience, such projects take from 6 to 18 months.

The following factors affect the duration, as well:

  • The complexity and scope of the project
  • The type of services you need (development from scratch, modernization, upgrade)
  • The nature of the issues you have
  • The kind of DWH solution you need (ready-made, custom)

What affects your project costs

The project’s cost depends on many factors. A more accurate price is possible to get when you contact us directly. After a series of sessions with all the stakeholders and an understanding of your top-level requirements, we would be more accurate about the price. Here are some factors affecting the estimation:

  • Project scope and complexity
  • Chosen technology
  • Project completion urgency
  • Engagement model: Time and Material, Dedicated Team
  • The cost of the DWH platform

What we need from your side

Data Warehouse development or modernization requires deep involvement of the bank’s business and IT departments. It is needed to correctly gather all the requirements and understand the real challenges associated with data quality, consistency, and management.

  • Project goals, vision, and roadmap, if exist
  • High-level project requirements
  • Project-specific documentation, if available, for example, a test strategy or test cases
  • Client’s availability (a couple of hours per week for requirements gathering sessions)
  • Project deadlines

Our tech stack

Explore our case studies

Frequently asked questions

What is a data warehouse development service for banking?

Data warehouse development is actually a custom engineering project aimed at delivering a DWH solution that will fit your business needs, follow your business logic, and process your organizational data as you need it.

What is data warehouse service, and how will it help me?

Data warehousing services are provided for companies that would like to improve data integrity and data quality management by structuring and organizing their information using the latest technology solutions.

Why choose DICEUS for data warehousing development services?

We provide data warehouse development services for banks and financial institutions with a deep understanding of your core business processes. Our team has experience building DWH for a few banks — all these projects were delivered successfully.

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