Business analytics consulting helps companies make accurate data-driven decisions — from financial indicators to sales and marketing effectiveness.
Identify factors that affect profits and expenses.
Understand the real productivity of departments and sales channels.
Plan business development with a clear picture of processes and results.
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Companies that work with data systematically make decisions 5 times faster, reduce costs by 25–30 %, and increase profits by 6–10 %. In this case, technology is just a tool. Equally important is how the business works with data: strategically, in a structured manner, under the guidance of experts. Business analytics consulting helps to use data as a tool for development, not just for reporting.
As a result, the business operates more accurately, responds faster, and grows steadily. Even in changing conditions.
If the data does not match, reports do not provide answers, and decisions are made “by eye”, it is time to turn to business analytics consultants. We will help you bring order and regain control over the system. Our approach covers all stages: diagnostics, integration, automation, staff training, and technical support.
If the cost of delivery is calculated manually in Excel, we automate the calculation using a formula that takes into account weight, route, and carrier type. We submit starting implementation in one region where the data structure is simplest and gradually scaling up to avoid disruptions.
We can combine disparate sources into a single analytical environment adapted to the client's processes. A typical example is when a retail chain's sales system records transactions and its warehouse system records goods movements, but the data does not match due to different item codes.
Our team creates a unified reference book so that reports on stock balances and goods turnover are generated without manual compilation. Excel files with procurement plans are pulled up via API, and the platform is configured so that analytics are updated hourly without operator intervention.
We create flexible dashboards that transform complex data into convenient visualizations. One example is when a retail chain receives daily sales data from POS systems and planned indicators from Excel, and the comparison is done manually.
The team sets up automatic comparison using a single model, where actual data is pulled in hourly and the plan is updated centrally. The dashboard shows deviations by region, category, and day, without the need for manual compilation.
Any analytics are valuable only when the data is reliable. As a business analytics consulting firm, we implement data management policies, define quality standards, and automate update control.
This is evident in a situation where a manufacturing company receives production volume data from workshops in various formats and planned indicators from an ERP system. We build a unified model with product code links to avoid discrepancies in reports. The monitoring system signals anomalies in the data and allows for the prompt detection of accounting errors.
The effectiveness of analytics depends not only on technology, but also on the people who use it. In real life, we often see managers who see the numbers but don't always understand how to interpret them or what to do with them.
That's why we train analysts, managers, and executives on how to interpret data correctly and apply it in their work. Data analysis consulting for small businesses is particularly valuable in this regard—it allows you to build an internal culture of fact-based decision-making.
For companies that are ready to go beyond standard reports, we implement forecasting, scenario analysis, and machine learning models. This is useful when a retailer plans seasonal purchases but does not have the tools to assess demand for new product categories.
In such cases, business analytics consultancy helps to implement tools that allow you to predict demand trends, assess investment risks, and identify potential growth points. Then strategic decisions are made proactively, rather than reactively.
We select analytical platforms based on business objectives, data scale, and the company’s technical capabilities. Work as efficiently as possible.
A powerful platform for interactive data visualization. It allows you to create dashboards that combine data from multiple sources and display results in real time.
A convenient Microsoft tool for building reports and monitoring key performance indicators. Easily integrates with Excel, ERP systems, and cloud services. Suitable even for users without technical experience.
A platform with an associative data model. It allows you to explore relationships between indicators without complex queries. Qlik is particularly suitable for large organizations that require speed and depth of analysis.
Cloud-based tools for creating custom reports and dashboards. Ideal for companies that work with the Google ecosystem and want to avoid complex infrastructure configuration.
Business analytics in consulting is a structured process that combines research, technology, and practical implementation of solutions. We offer five areas that help transform analytics into a practical tool for business development.
Business analytics consulting services enable you to transform chaotic data into a competitive advantage. Get a strategic model that serves as the basis for daily decisions.
Interactive dashboards provide you with a clear view of the situation without delays. This allows you to make decisions based on facts rather than assumptions. This reduces response times and lowers risks.
Nowadays, data and information are multiplying exponentially — and without a systematic approach, they lose their value. However, analytics business consulting helps to identify patterns that are not visible without in-depth analysis. This allows you to adapt your strategy to real changes in customer behavior and the market.
In their daily work, different teams may collect the same data for their own tasks, but structure it differently. As a result, managers find it difficult to consolidate information for analysis and decision-making, which can lead to additional costs. Our data analysis business consultant helps eliminate discrepancies to improve team performance.
A shared data analysis logic gives the company an advantage—it allows teams to coordinate their actions, avoid conflicting decisions, and work with a single set of metrics. When all departments are guided by a common model, strategy is implemented faster and internal coordination becomes transparent. That is why we integrate the analytical model into our daily work — so that each team can act in a coordinated manner without losing flexibility.
Our business analytics consultants help companies make accurate decisions, align team actions, and achieve strategic results.
“Cobit Solutions quickly understood the complexity of our environment and delivered strong results across a wide range of subject areas. They adapted fast, worked effectively under tight timeframes, and consistently provided high-quality technical and business input throughout the project. We now see them as a consistent and valuable partner in our ongoing data journey.”
Josh Rammel
Global Head of IT
“We want to express our sincere appreciation for all the support you’ve provided… From tackling urgent challenges like data upload to creating the initial flash report and making progress on complex issues; your contributions have been invaluable.”
Julia MacDonald
Group FP&A Manager
Cobit Solution combines data engineering, a systematic approach, and a deep understanding of its clients’ business logic. After all, every business has its own specifics. Unlike other companies that focus on individual tools or reports, Cobit Solution builds a full-cycle analytical infrastructure — from Data Lake architecture to KPI models. The company’s experts focus on managed information flows that truly impact profitability.
In addition, Cobit Solution offers various formats for cooperation — DIY, DWY, DFY. This means you can purchase the methodology, invite our experts to collaborate, or receive all processes on a turnkey basis. Your decision on the format depends on your available resources and goals.
Experts help determine which data is relevant to the business. Imagine that an insurance company suddenly sees a sharp increase in the number of claims. But it is unclear whether this is a random fluctuation or a systemic problem. In such cases, analysts combine data from CRM, claim history, and financial reports. And, for example, they find that the increase in requests is related to one region and a specific type of product. Then marketers analyze the cause: incorrect wording in contracts or advertising campaigns.
Or, for example, in a company with several business lines, management cannot assess which of them is truly profitable. Analysts implement a cost allocation model that takes into account not only direct but also indirect costs—rent, logistics, support salaries. After launching dashboards, management sees that one of the areas generates volume but “eats up” the margin. This becomes the basis for revising pricing policy and reallocating resources.
Yes, the company creates customized BI solutions and helps not only large organizations but also small businesses. We always adapt the format and depth of analytics to the scale of the company. This is achieved through a phased implementation starting with basic dashboards. We select the optimal tools so that even a small team can work effectively with data and see the real picture.
A typical business analytics consulting project lasts from 1 to 4 weeks. This period covers business process analysis, requirements formulation, tool selection, data source structuring, and analytical model development. If the tasks are more complex — for example, requiring deep integration with ERP or building financial logic — the project may take about 6–8 weeks.
However, don’t think that this may be too long or lead to downtime. In any case, we implement solutions in such a way that your work remains uninterrupted.
Yes. We provide technical support, model updates, stability monitoring, and adaptation to new sources. So you can focus entirely on growing your business, rather than constantly searching for specialists or keeping them on staff.