IT's massive
People, companies and machines produce large volumes of data at a constant rate. The architecture and approaches used to store and manage this huge quantity of information is an increasingly important element of business success.
Big Data basics:
What you need to know
IT's fast
Data travels at close to the speed of light. Smarter, faster, cheaper and better architectures can give companies the ability to make decisions, communicate with stakeholders and anticipate trends faster than ever before.
IT's unstructured
Roughly 85% of data owned by companies is unstructured, yet relevant for decision-making. With our big data platforms and data scientists, businesses can turn this data into actionable insight.
IT needs quality
The correctness of data is crucial when making decisions based on reality rather than gut feeling. Machine learning and data enrichment mechanisms increase your data quality.
Data science: the agile way
Working agile to ensure customer satisfaction
Responsive to change
Predictive analysis allows forecasting that bases planning and budgeting on facts and historical data. This approach includes “what-if” scenarios that lead to the right actions to improve performance in multiple areas.
On time on budget
2-week development cycles ensure the market relevance of the product. The team has every chance to evaluate the direction of the project and make adjustments and well-informed decisions.
Communication is key
Our agile approach centers around a constant dialog between IT teams, business decision makers and other stakeholders impacted by the project – for perfectly tailored solutions.