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.
Let's talkData 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.
All data in one place, accessible to the entire organisation. Uniform information for all.
Maximum control over data and data quality. Elimination of incorrect information.
Data are available whenever you need it for further decision-making. No more waiting.
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.
Modern data warehouses are the repository for all the structured data your business needs for analysis and management.
A practice-proven operational data warehouse solution to support operational processes and related analyses.
Full service for Cloud solutions: from strategy to selecting the right provider to migrating existing systems and building new ones.
The data quality fabric helps to identify and fix data problems such as missing values, duplicate records or inconsistencies between different data sources.
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.
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.
Maximum data quality with minimum effort. Eliminate inaccurate, incorrect data from your systems.
It identifies, cleanses, consolidates and delivers a single version of key data to all users at the required time.
Connect your data with external sources and get quality leads for effective business communication with corporate clients.
Valid reference data in one solution, available to the entire organisation for analysis, operational use and data warehousing.
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.
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.
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.
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...
With millions of clients conducting millions of operations every day, the bank needed to automatically assign a unique category to every banking transaction (card...
Together with the bank, we used several years’ worth of transaction descriptions and a number of transactions of a specific type to identify a...
Managing data governance within organizations and among stakeholders can be an overwhelming task for CIOs, CDOs, or data strategists. The implementation and sustained adherence...
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...
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...