Service Desk

Data Analytics Consulting

Boost your data efficiency with services from Eastwind data experts.

On-demand Consulting

We help solve specific data analytics challenges: big data infrastructure design, tool and team selection, ETL process setup, model optimization, and more.

In-House Team Formation

We define the necessary team size and competencies for effective data analysis within your business. We assist with candidate selection and onboarding.

Team Training and Mentoring

We teach behavioral analysis, dynamic segmentation, and hypothesis testing. We also help build complex SQL queries and custom reports.

[ 01 ]

10 Years in Enterprise Big Data Solutions

Proven analytics expertise: designing data processing architectures in complex IT environments, developing churn, scoring, and NBO models, and more.

[ 02 ]

Personalized Approach

Deep immersion in each client’s business needs and IT landscape, with tailored recommendations and comprehensive support.

[ 03 ]

Knowledge Transfer

After project completion, your team retains new skills and can independently develop machine learning algorithms for data processing.

[ 04 ]

Measurable Outcomes

We focus on delivering measurable business outcomes: higher conversion rates, lower churn, and increased revenue.

[ 05 ]

Transparency

Detailed reporting at every project stage, clear rationale behind decisions, and regular status calls. You’ll always know the project’s progress.

Bank in the CIS 80%

churn prediction accuracy: 80% of customers correctly segmented as likely or unlikely to leave

Telecom Operator in Kazakhstan $1M

confirmed fraud-related losses prevented through Eastwind’s models

Testimonials

After the project with Eastwind, our company established an effective approach to big data analytics in business. We started by defining the requirements for the model, and after launch, we validated the results. For example, to predict churn, we sent call lists to our call centers, where agents confirmed customers’ actual intentions. Based on the feedback, we adjusted targets and enriched the data marts. As a result, we achieved high model accuracy and coverage.