Data engineering enables advanced data solutions
All things tech / Data Engineering
Future-faced companies use data and analytics to make better business decisions. Artificial intelligence, machine learning, and business intelligence solutions are used for understanding customer needs, creating value-adding services, and forecasting sales accurately. These modern solutions help companies generate more revenues and increase competitiveness. However, without a solid data foundation, these kinds of solutions cannot be built. Reliable and high-quality data is the starting point for modern data-driven projects, which is why data engineering skills are a key success factor.
Future data solutions are fuelled by data engineers
The value of data engineering is easy to underestimate since it does not necessarily bring instant results in sales or profitability. However, it lays the foundation for successful data-driven projects – it is the enabler of any advanced data solution. There is an increasing pressure to enhance and refine business and customer data to make a competitive use of it. Through data engineering it is possible to create better data structures and models but also to increase data quality and efficiency.
In addition to specific analytics use cases, modern data engineering embraces technologies, processes and good practices that fuel continuous improvement. While many are familiar with DevOps, the same principles and processes may be applied in a data analytics context. DataOps and MLOps are used to improve speed, quality, and collaboration in data solutioning.
What can we offer?
Fusion Ecosystem is an alliance of future-facing companies with plenty of resources and special expertise. We are the playground and innovation center for data-driven projects.
Data engineer on demand
Our data engineers can help solve the most demanding data challenges. Our large and continuously growing talent pool provides highly skilled and experienced data engineering experts to enable even the most advanced data solutions.
Audits and data solution planning
Data engineering experts from Fusion companies carry out data audits and provide consultation to identify foundational development areas related to data analytics. Also, the experienced talents help create concrete roadmaps to fulfill business needs through data analytics.
Custom data solutions
Data engineering experts can execute even the most demanding customized data solutions to meet individual needs of any company. Our data engineers can help establish good practices, processes, and technologies that support continuous improvement in the data analytics area taking in consideration specific organizational needs (DataOps, MLOps).
What Our Customers Say?
Our work with Elisa started in 2007 and has since grown into a long-time inspiring partnership. Through the years we’ve joined forces with Elisa on many fronts, including data engineering. A leap forward was to create a data lake that contains all the essential data from Elisa’s previous, multiple data sources. The data lake makes data available and uniform, thus possible to utilise in building AI solutions that level up customer experience. “We’ve done extensive co-operation with Fusion companies for many years. We have been very pleased with the outcomes of our partnership.”
Sakari Volanen, Head of Partnerships at Elisa
Let’s Get Started Together
View Our Data Engineering Companies
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