Business analytics

We measure the effectiveness of advertising and profitability of our business using business analytics.

End-to-end analytics shows a complete picture of how all digital channels, and sometimes even offline, attract customers, what actions they take and how it affects profits.

We help to increase business efficiency and productivity, optimize production processes and reduce costs, find new growth opportunities and better serve customers.

How we use business analytics in projects

Analyzing what is happening in business

We collect data from various sources, process and structure it for further analysis.

We formulate business needs

We draw conclusions that help us make informed decisions. This reduces the risk and increases the likelihood of project success.

We increase profitability

We maximize the profit from advertising, attract more traffic, increase the conversion rate to applications and customer loyalty.

Reducing costs

We optimize the amount of work required to achieve the goals and reduce the number of improvements, which reduces the associated costs.

Simplify communication

Business analytics in the company promotes effective communication between all stakeholders, which reduces the risk of misunderstandings and mistakes.

We understand the audience

We are developing more effective marketing strategies, as we better understand the behavior and preferences of the target audience of client projects.

We guarantee the reliability of information

We confirm all hypotheses and proposed solutions using accurate figures and facts obtained and verified using business intelligence.

Stages of business intelligence

Defining business objectives

We identify the main tasks that can be solved using analytics. Goals may include improving operational efficiency, optimizing processes, and increasing profits.

Requirements and data collection

We collect the requirements of stakeholders and business lines. We use different sources of information: databases, sales reports, customer data, and financial indicators.

Data analysis

We identify trends, dependencies, and key factors that affect the business. We use statistical methods, machine learning, time series analytics, and other techniques.

Modeling the results

We present the data in a convenient and understandable way — in the form of graphs, charts and dashboards. This approach makes it easy to perceive information and make informed decisions.

We monitor and adjust

We monitor the data, identify possible problems, and suggest ways to optimize them. Regular adjustment of decisions based on analytics increases the flexibility and sustainability of the business.

Results

Recommendations for website optimization, advertising, and business processes.

Tips for improving the user experience.

Analytical evaluation of current advertising campaigns.

Business bottlenecks that require improvements based on business analytics data.

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