Data management

If you feel that data is driving you and not the other way around, then it’s time for a change. Because data under control means simpler processes and therefore better business results.

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The key to effective data use is to have a clear data strategy

Data governance provides a framework and set of tools for creating, storing, using, maintaining and archiving data. Our mission is to help you manage and control your data so you can make informed decisions with confidence.

Consolidated information

All data in one place, accessible to the entire organisation. Uniform information for all.

Clean data

Maximum control over data and data quality. Elimination of incorrect information.

A quick source of information

Data are available whenever you need it for further decision-making. No more waiting.

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Data architecture

When selecting a data architecture, we analyze your organization's needs and future growth. Depending on the type of data you need to store, process and analyze, we will select the architecture that is best suited for those purposes.

Big Data

We help you design the architecture, connect data silos and share the data on secure platforms.

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Data warehouse

Modern data warehouses are the repository for all the structured data your business needs for analysis and management.

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Operational Data Store

A practice-proven operational data warehouse solution to support operational processes and related analyses.

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Data Management in Cloud

Full service for Cloud solutions: from strategy to selecting the right provider to migrating existing systems and building new ones.

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Data Quality Fabric

The data quality fabric helps to identify and fix data problems such as missing values, duplicate records or inconsistencies between different data sources.

Data governance

What data do you need in your company? And who is responsible for it? Clear data management is crucial for its further use in practice.

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Data cataloguing

Do you want an overview of all the data generated by your company? Plug in your data sources and leave everything else to AI and automation.

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Data quality

Maximum data quality with minimum effort. Eliminate inaccurate, incorrect data from your systems.

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Master Data Management

It identifies, cleanses, consolidates and delivers a single version of key data to all users at the required time.

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Data enrichment

Connect your data with external sources and get quality leads for effective business communication with corporate clients.

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Reference data

Valid reference data in one solution, available to the entire organisation for analysis, operational use and data warehousing.

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Data Engineering & Automation

It includes automation for processing and transformation of data flows. The goal is to provide efficient, reliable and scalable data processing that enables fast access to relevant and high-quality information for analytical purposes and business decision-making.

MetaCroc

The easiest way to a functional data warehouse – without developers. Technologically versatile tool with wide use and easy implementation.

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Adoki

A tool for easy and fast data replication between systems. Centrally manage and monitor all data transfers across platforms (on-premise and Cloud).

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Adele

A universal platform for easy data migration in the Cloud – in one click.

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DWH Framework

Adastra DWH Framework provides mapping of existing transformation and integration processes and setup of new ones in Microsoft SQL Server and Microsoft Azure Data Platform environments.

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Case studies

Equa Bank clients were fully migrated to Raiffeisenbank in 12 hours

When Equa Bank was being mergedintoRaiffeisenbank in November 2022, we handled the migration of Equa Bank’s client data into Raiffeisenbank’s CRM system. We also ensured the client master data was propagated to the bank’s core systems.  

hours instead of 3 weeks – shorter live migration thanks to 10 months of testing and agile development

subjects to migrate

people - each with 200 attributes, added to Raiffeisenbank’s client base after the acquisition of Equa Bank

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ŠKODA AUTO: data transfers on analytics platform are comprehensively managed and monitored by Adastra’s Adoki

In 2018-19, Adastra built an on-premise Data Analytics Platform (DAP) at ŠKODA AUTO. Its purpose? To visualize data and use advanced analytics and artificial...

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Automatic categorization for 98.5% of card transactions

With millions of clients conducting millions of operations every day, the bank needed to automatically assign a unique category to every banking transaction (card...

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Just-in-time loan offers: a 10x higher conversion rate

Together with the bank, we used several years’ worth of transaction descriptions and a number of transactions of a specific type to identify a...

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Do not miss our blog

Unlocking Data Governance: 3 Proven Strategies from Top Czech Managers

Managing data governance within organizations and among stakeholders can be an overwhelming task for CIOs, CDOs, or data strategists. The implementation and sustained adherence...

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Functional Data Governance: Imperative for Success, Yet Over a Fifth of Major Czech Corporations Lack a Starting Point

Up to 72% of major Czech companies are currently in the initial stages of implementing data governance. Approximately one-fifth of these companies recognize its...

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Observability platform vs. observability tools 

Complex information systems fail in unexpected ways. That’s why IT teams need both observability tools and an observability platform. To understand the distinction between...

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Let's talk

David Kaláb
Government, Utility & Insurance Division Director
Marius Maslo
CEO Adastra Slovakia