The world is changing and so does your data

Organizations have stored their data for decades but what changed is its extensive volume and complexity. Before, most of the data came from internal sources and as such would easily fit into the system but then a new kind of data started to flow in from a wide array of sources. This need for digitalization brought along the priority to focus on customer experience and architect everything by putting customers first. Because of this, a lot of new applications are being built and we see a huge rise in specialized cloud-first business applications. The world as well is getting more and more connected with additional data being generated, which brought the possibility to make better customer insights.

One source of truth in a modern data warehouse

But more data means more work and if you want to achieve a 360-degree view of the business, you can’t have it any other way than to have all your data in one place – curated, governed, and accessible for different use-cases. The focus is not just on reporting, dashboards, and predictive models but also on the integration of different customer and back-end facing applications. New, modern data warehouses are making it possible for companies to be more agile and ready for the quickly changing business environments.

A much-needed transformation

Needless to say, many existing data systems need a makeover. But with no proper strategy and tools, one can quickly feel overwhelmed. How to extract and consolidate data from various source systems and how to move, validate and rearrange it in a way that will support better and faster business intelligence and other data applications? Yes, we hear you. It’s a mess. Having all your data consolidated into one single source of truth might be hard to get but far from impossible! Also, why not make this new system flexible enough to stretch it to new dimensions whenever needed, continuously bringing you clarity and the right focus.

Speed up implementation time with less risk and greater efficiency

The bad news is, there are no shortcuts – somebody needs to dig in, do the heavy lifting and transform data into a structured and neatly organized system. With new technologies emerging some things can be implemented now much faster now. With over 2 decades of building enterprise data warehouses (data lakes, data lake houses or whatever the next buzz word will be), we can help you connect your existing systems and new sources to enable a new modern data platform that will serve your analytical requirements.

Agile data warehousing, automation and the rise of data first applications

On top of modern data platforms, we have upgraded our methodology with predefined assets that can significantly shorten the implementation time and apply changes much quicker than the traditional way. Now, we can really talk about agile data warehouse implementation and having as much automation as possible when it comes to data integration and data transformation tasks.

Our best practices, data integration methodology and everything else we learned along the way are encapsulated in our data platform, which is built on the proven and open technology stack. This way you get the full package from our innovation lab along with our team of experts. This winning combo will make your project 10-times faster, more efficient and far less risky in comparison to building a data warehouse the traditional way or by yourself.

Connect to our team of veteran data warehouse architects with a focus on state-of-the-art technology.

  • Data warehouse modernization
  • Big data and data science
  • Datawarehouse modeling
  • Data warehouse migration
  • Lift’n’shift data movement
  • Data integration
  • Stream processing
  • ETL automation.

Don’t miss our cloud first strategy.