Time Series Analysis

PCM - BI for Time Series Analysis

Forecast revenue and expenses by looking at historical trends. Use your data to forecast trends, recognize seasonal variations, and more.

With time series analysis, you can recognize patterns, forecast trends, and analyze seasonal changes to your data. This can help you better understand the factors that influence your data.

Forecasting in PCM - BI

Now, you can use PCM-BI to predict trends in your data. Our exponential smoothing model uses the weighted average of past data points to forecast future outcomes.

Also, you can add a trendline to your data series to easily perform regression analysis. We offer Linear, Exponential, Logarithmic, Power, and Polynomial trendlines to suit all your needs.

Time Series Analysis in Industries

Time series analysis in departments

PCM - BI for Time Series Analysis

With PCM-BI user-friendly, fully customizable dashboards, you can track all the key performance indicators that your team depends on:

  • Sales forecasts;
  • Projected revenue;
  • Production costs;
  • Inventory projections;
  • Consumer utility demands (such as energy consumption and water use);
  • Website activity metrics.