How we help our clients

Creating Data Opportunity

By combining expertise with design thinking and the latest advancements in machine learning and big data technologies, we help clients meet their toughest challenges and unearth new opportunities through data. We can help design an analytics strategy, assess data quality, identify new opportunities for growth or insight, and formulate high-impact use cases.

Data Science, Machine Learning and Analytics

Leveraging broad industry experience and data science expertise we build bespoke modern analytics solutions that are fast to insight and specific for your domain, business and context. We apply the latest in machine learning, new approaches in the field of artificial intelligence and classical statistical methodologies to convert data into answers to your unique business challenges. We create fast-to-market, tailored analytics with embedded predictive power - placing clients’ insight capability ahead of the fast-paced competition.

Big Data Consulting and Development

We design and implement data processing pipelines, data lakes, and in-stream analytics to enable first-class solutions that deliver optimal results with minimum time-to-insight. We leverage Open Data Science technologies and tools, such as Hadoop, Kafka, Spark, R, MongoDB, and Elastic Search to process, analyze, and capture the value of your data.

Application Development

We help our clients to design and build sophisticated business applications using modern technology stacks. We offer a consultative approach towards your app strategy, tailoring it to your needs. Data is a driving force of modern applications no matter what it does. Our app solutions are integrated with predictive analytics, contextualization and personalized customer engagement capabilities.

Ways To Engage With Us

No matter the challenge, we offer numerous and flexible types of engagement to accomplish your goals.

Joint Value Assessment (JVA)

Working collaboratively with the client team, we build a strategic data roadmap and a framework for structural exploration and definition of high-impact use cases – envisioning organizational needs and the speed-to-execution.

Prototyping and Proofs of Concepts

We quickly build prototypes that meet the use cases and establish proofs of concept. Then we collect early feedback and insights and apply this to design a client-tailored solution using state-of-the-art data science and engineering  - in a short timeframe and with minimum investment.

Project Execution

We deliver highly advanced analytics projects through co-creation with our clients, based on a value building principal. Our processes encompass designing impactful analytics solutions, implementing data processing platforms, embedding of models into the production environment, and support of marketing programs and the customer treatments involved.

Training and Coaching

We are training client’s teams and supporting the final product. Our team remains close to the client in order to provide on-going support and deliver future product enhancements. Our support programs create a coaching environment to help clients strengthen their organization’s data science capabilities.

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