Data Architecture & Advisory Services

We have listed some common data architecture challenges that our customers experience. We can also resolve these challenges for you.



Data Warehouse Modernization

Traditional data warehouse architecture has served us well for the last few decades. During most of the nineties and noughties we have only seen evolutionary changes. Architecture, tools, and technologies were pretty static. Ok, we had some innovations, e.g. columnar storage or ELT, but by and large not that much changed during that time.
The process of digitisation, the importance of new types of data, and the explosion of data volumes first witnessed by Google and other web companies changed all of this. It has exposed various issues of the traditional world of data warehousing.

  • Data warehouses are bursting at the seams
  • As a result license costs are soaring
  • How do we process text, audio, images, video?
  • The traditional data warehouse life cycle does not provide answers fast enough
  • Real-time analytics was never a part of the data warehouse architecture
  • … and neither was advanced analytics

We can help you address these common challenges.

Enterprise Data Architecture

We can help you with:

  • Big data warehouse architecture
  • Data warehousing in the cloud
  • Master Data Management (MDM). Integrating MDM with your data warehouse
  • Architecting a real-time data warehouse
  • Architecting a data warehouse error hospital for monitoring data quality
  • Data warehouse modelling
  • Architecting and integrating an

Data Warehouse Leader Mentoring

We mentor business intelligence or data warehouse managers and architects. If you need external advice with a question or are stuck with a problem please feel free to reach out to us.

We can mentor you on an ad-hoc or permanent basis. Hourly rates apply.

Vendor Selection

We help you identify the best vendor for your particular requirement and use case. We cover data warehouse, Hadoop, data preparation, ETL, cloud data warehousing, and data science platforms.

Sample tasks

  • Understand requirements (interviews, questionnaires, review documentation and systems)
  • Design vendor feature matrix
  • Design RFP
  • Review RFP answers
  • Vendor interviews
  • Design PoC
  • Score PoC outcome

Data advisory services for start-ups

Are you a start-up with a data product and need advice on data architecture, tools, and tech?
Get 30 minutes of free consultation with our CEO Uli Bethke or our CTO Maciek Kocon.