• Microsoft Gold Data Analytics competency
• Amazon Web Services Partner
• Successful projects for Healthcare, Banking, Financial Services, Advertising, Retail, Manufacturing, etc.
• 5+ years of experience in big data consulting

Delivering custom dashboards and reports, we let companies track their key performance indicators (KPIs) easily. The dashboards help to watch over the progress, spot the trends and identify suspicious behavior to react immediately.

Developing a complete infrastructure consisting of a data warehouse, ETL processes, OLAP cubes, and more, we create a stable environment for solving particular analytical tasks. This environment can be designed in a way to support our multinational clients that have to deal with the challenges of many languages, multiple currencies, etc.

Offering A to Z big data services, we leverage the potential hidden in our customers’ big data. We apply a four-stage approach that includes:

1. Specifying our customers’ business requirements and elaborating a conceptual solution.
2. Designing the architecture.
3. Implementing the solution.
4. Maintaining and supporting the solution.

Our team is proficient in a wide technology stack: Apache Cassandra, Amazon RedShift, Apache Hive, Apache Kafka, Apache Storm, Hadoop, MLlib, and more.

Data Management

Acknowledging the importance of data access, data quality, data integration, etc., we develop rules and policies that ensure effective data management.

Using complex rule-based algorithms and machine learning, we bring to life predictive and prescriptive analytics. As a result, our customers are able to benefit from forecasting by spotting an opportunity or a threat well in advance.

Supporting companies that prefer to rely on a trusted outsourcing partner in data analytics instead of deploying an in-house solution, we render data analysis services. In this case, our consultants just need access to our customer’s data sets, the infrastructure and resources for the analysis are on our side.

We support our clients in establishing the process of collecting, processing, and analyzing customer data (transactions, product/service use, web behavior, etc.) obtained from multiple sources. As a result, companies can understand their customer’s preferences, measure the response to promotions, as well as create a unique customer experience.

We tailor financial reporting, allowing our customers to make informed business decisions based on accurate backward-looking statements, real-time data, and predictive forecasting. In addition to solving specific financial tasks like effective cash flow and working capital management, we contribute to establishing a true partnership between business managers and CFOs.

Marketing Analytics

We develop analytical solutions for marketing teams to measure the success of their activities, identify market trends, benchmark against competitors, analyze a product portfolio, forecast demand, and more.

We help our customers define the right KPIs and build a clear hierarchy of strategic, departmental, and individual metrics. We develop insightful and easy-to-understand dashboards, tailored to the users’ roles so that every team member is always up-to-date with the progress achieved.

We facilitate the work of sales departments providing them with dashboards that contain all the needed insights, such as revenue, accounts by type and by country, latest opportunities, wins product performance, and more.

We know how to turn HR-related data into valuable insights allowing our customers to improve employee productivity, measure staff turnover, identify ways of fostering engagement, etc. Our team delivers visualizations for HR managers to spot a worrying trend at a glance. For example, they can identify an unhealthy distribution of the working hours allocated to routine tasks vs. those bringing added value.

We assist companies in transforming sensor and IoT data into meaningful real-time reports on machinery performance. We also help companies to improve business processes based on analyzing external and internal data (like data from ERP modules, telemetry data, market research, competitors’ activities, etc.)