Solutions
Synopps software: one engine, three modules for master data tasks
Academy
Master data training built on real project practice
Corporate data warehouse · DWH, MDM, data governance
We design and build corporate data warehouses for ERP and other corporate systems. Reports are ready faster, data quality improves and the load on IT goes down. A typical project takes from 4 months, and you can start with a pilot.
Data architecture levels
ETL / ELTODS · core · martsMDMBIWhat we do
A short but thorough stage that shows what to do, in what order and why. The result is an architecture concept for your DWH.
A warehouse that collects data from ERP, CRM, mobile apps, industry systems and files into one consistent model.
We build data management on every key level.
Survey results
Not just a report but a clear set of decisions.
Where the single version of the truth lives, which tasks the DWH covers, which reference data moves to MDM, which rules and roles are needed.
Sources, warehouse layers, marts, and integrations with key systems and BI tools.
Which reports and analytics come first, and which master data goes to MDM first.
A staged DWH and MDM plan with timelines, resources and risks, including data governance steps.
Where the pilot can already give a measurable result: less reporting effort, fewer errors, faster decisions.
How the project runs
Goals and metrics, data sources and consumers, agreed architecture and mart priorities.
Infrastructure, integrations with the main systems, the first marts and reports.
More sources and business areas, better performance, more marts.
DWH support, MDM and data governance added, new reports and analytics.
Why Synopps
We do not install a box, we put the data in order: reference data, master data cleansing and a data model that works from day one.
We work with your team, decide together, rely on real processes and help users move to the new reports.
We are not tied to one technology supplier. We choose the stack for your tasks, licensing limits and IT landscape.
From the start we fix the goals: comparable metrics, faster reporting, fewer manual operations, data quality and availability.
FAQ
A DWH is a central store that collects data from different systems, keeps history and gives one data model. Separate databases and marts usually solve local tasks and do not guarantee one version of the truth.
It depends on scale. A pilot with 1 or 2 marts and a few sources takes from 2 to 3 months. A full corporate warehouse in several waves takes from 6 to 12 months and continues along the roadmap. The survey gives a more precise estimate.
Yes, if you want a predictable result. The survey shows which data and reports are critical, which architecture fits your company and how DWH, MDM and data governance should work together.
Yes, and that is the right way. We pick 1 or 2 important scenarios, for example sales and finance, build the architecture, processes and marts for them, and scale the solution if the result works for you.
Small projects can manage with local reference data. As the company grows, duplicates, different codes and mismatched reports appear quickly. So we plan from the start which master data to centralise and offer a staged move to MDM.
Process and report owners, IT specialists for the key systems and a person responsible for the project. We take on the methodology, architecture and build. You take part in interviews, agree requirements and check the result on real tasks.
Contact
Tell us about your systems, reports and data problems. We will propose a survey plan and the first steps.
What you have now and what you need
Data, processes and IT landscape
Stages, timeline and scope