The mountains of data generated by modern machines will continue to grow – exponentially – as our dependence on technology increases. Today’s business leaders are challenged with finding a way to leverage that data to improve operations and the customer experience, or they risk being surpassed in an increasingly competitive marketplace.
Elevating Enterprise Intelligence
SoftServe’s combination of deep technology expertise and focused domain knowledge enables us to build data solutions that are efficient, scalable, and eliminate the data silos plaguing many modern enterprises. And with more than 20 years of experience in the technology sector, SoftServe can anticipate and mitigate the risks associated with new technology adoption.
Dozens of data projects designed and implemented for Fortune 100 enterprises
SoftServe Big Data concepts adopted by institutions like the Carnegie Mellon Software Engineering Institute
Next-generation business intelligence goes beyond traditional reports and data warehousing. Experience design and cognitive computing are just some of the resources that SoftServe utilizes to elevate the employee’s user experience and help expose revelational insights. Only by providing access to the right data at the right time – and on the right device – can SoftServe drive meaningful change for our clients.
Leveraging the Power of Analytics
The difference between market leaders and market followers is how each organization translates that raw data into action. SoftServe’s Big Data solutions employ state-of-the-art techniques in artificial intelligence, machine learning, statistical analysis, predictive analytics, and much more to decipher our clients’ data.
A team of data science PhDs and experts certified in Hadoop, Spark, Cassandra, and more
Contributions to open innovation, including SoftServe’s Lambda Architecture Accelerator
Because data is the foundation for most impactful business decisions, data is and will continue to be among every organization’s most valued resources. Advanced analytics makes it possible to automate most routine data analysis, often reducing the time spent on these processes by up to 90% and freeing staff to focus on big picture thinking.
|Data Integration & Processing
||NoSQL Data Storage
||Visualization and Analytics
||Hadoop (Cloudera, Hortonworks, MapR, EMR)
||Qlik (QlikView, Qlik Sense)
||Microsoft BI Stack
||MS SQL Server
||MS Parallel Data