Implement a data-driven approach
Solutions
Data warehouse-driven business solutions
Implementing a Data Warehouse for structured data storage, analytics, and business process optimization
Our clients
Clients and partners
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We implement a shared Data Warehouse (DWH) for analytics and data exchange across the enterprise. A Data Warehouse makes it possible to quickly produce recurring reports and more easily build new reports for each hypothesis.
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It also helps reduce integration support costs.
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A comparison table of popular DWH tools
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DWH data helps make effective decisions in areas such as
A shared enterprise data warehouse (Data Warehouse) makes it possible to
Reduce integration support costs
Get regular reports faster
Test hypotheses selectively
Get a free consultation with an expert
We will define the scope of the problem that is causing business losses
We will outline possible solutions and the tools to implement them
We will define the implementation plan and next steps
You can implement this solution with us, another integrator, or your own team
Examples of hypotheses and their metrics
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Find solutions to business challenges, formulate and test hypotheses with clear metrics and accurate data.
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How can product sales on the website be increased? Products whose descriptions start with an emoji sell better.
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How can customer retention and loyalty be improved?
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Introducing a bonus for repeat purchases can encourage customers to return.
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What product price will be the most profitable?
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Increasing the price of product A will raise its overall profitability.
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How can retail chain performance be improved?
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Changing the store layout can increase sales at the same traffic level.
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How can transportation and storage costs be reduced?
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To move to a just-in-time model, you need to know when to purchase goods.
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Our approach and its Risk Free advantages.
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If you are not satisfied with the result, you do not have to pay for the work.
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We include this clause in the contract. Transferability.
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We do not hold clients hostage.
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All our solutions can be easily handed over to your team or another contractor.
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For us, IT is effective when it delivers business results and enables a high pace of change. Expertise. 400+ successfully launched integrations using different tools (Kafka, MuleSoft, WSO2, and others). Control.
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Every integration we launch is monitored by our monitoring system.
Implementation steps
We have structured the implementation process so that you get the maximum benefit. You can go through the entire journey with us. Or you can order any of the steps separately and hand the rest over to your team.
1. DWH system boundaries defined
approximate DWH use cases defined; current and desired reports used by BI analyzed; data sources and the volume and composition of the data they provide analyzed.
2. Requirements specification prepared for the warehouse
the set of data marts has been defined, and business unit dashboards are built on that basis; aggregation scenarios for the marts from the raw data store have been documented; the scope of the raw data stores has been defined; database schemas have been described; the sources of raw data and the procedures for loading it into the warehouse have been identified; tools for building the marts and raw data stores have been selected; and data validation and quality assurance procedures have been described.
3. Project implemented
your BI system uses data only from the DWH; the DWH can be easily extended not only for BI and analytics, but also for integrations; the DWH is ready to become the single source of truth for downstream systems.
Get a comparison table of DWH tools
We compared popular tools for implementing a DWH. For example, Hadoop, PostgreSQL, ClickHouse, Greenplum, and others. The result is shown in a compact table. Submit a request and get the file for free. Submit a request A team of practitioners, not theorists Continuous team development and training are built into our processes. Our qualification team, lead developers, and managers constantly update and improve training practices. We do not assign employees to projects unless they have successfully completed training in the core practices.
110+ experienced in-house specialists 50+ clients from mid-market and enterprise businesses 30+ integration implementation projects 10+ years of hands-on practice and successful cases Case studies
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