Data Analysis Services for Small and Medium-sized Enterprise

At Kanlytic, we provide straightforward data analytics services designed to deliver clear insights and actionable guidance. This empowers small and medium-sized businesses to make smart, confident decisions - even in uncertain times. Every business is unique, so we tailor proven methods to your specific needs, ensuring the insights you receive are relevant, practical, and easy to understand. Get in touch for a free consultation.

Get in touch for an initial consultation.

Some of the services we offer:

• KPI Selection & Definition
  Identify the most meaningful Key Performance Indicators aligned with your business objectives. I work with stakeholders to choose metrics that genuinely reflect performance, guide strategy, and track progress effectively.


• KPI Monitoring & Alerts
  Set up reliable systems to monitor and report on your KPIs in real time. I design dashboards and alert mechanisms that enable timely responses to changes in performance and emerging opportunities.


• Data Cleaning
  Make sure your data is accurate, consistent, and ready for analysis. I handle duplicates, missing values, inconsistencies, and formatting issues so you can base decisions on reliable information.


• Power BI Dashboard Development & Data Visualization
  Transform complex data into clear, interactive dashboards tailored to your business needs. I use tools like Power BI to design visually intuitive reports, complete with documentation so your team can update and maintain them independently.


• Process Automation
  Save time and reduce errors by automating repetitive data tasks. I streamline data collection, reporting, and transformation processes using Python, SQL, and Excel macros; freeing your team to focus on higher-value work.


• Sales & Revenue Forecasting
  Predict future sales and financial trends to support smarter planning and budgeting. Using historical data and statistical models, I deliver forecasts to guide proactive business decisions. Models can be adjusted for economic factors such as GDP and CPI to improve accuracy, especially when estimating operating costs.