Bold BI for Time Series Analysis

Bold BI makes time series analysis simple and actionable by visualizing historical data clearly helping teams analyze past performance, understand seasonality, and make decisions based on trends rather than assumptions.

Forecasting in Bold BI

Now, you can use Bold 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.

Any AI or ML use case goes through such a life cycle. Using Syncfusion’s Data Integration Platform, the ETL process to extract data from a source, transform/process it by running python machine learning scripts as scheduled and export the resultant data to the SQL server can be done with ease. This helps visualize data into meaningful insights in Bold BI.

Time Series Analysis in Industries

Energy consumption

With seasonal changes in temperature, consumer travel, and more, energy consumption and production costs can vary greatly. Time series analysis can help your team ensure you’re prepared to adapt to customers’ changing needs and meet … Learn more

Production Cost

In the manufacturing industry, you need to meet production goals while reducing rework, repairs, and labor costs. Use time series analysis to predict your plant’s equipment and personnel needs, reducing production and overtime costs by ensuring you’re prepared to meet customers’ needs. Learn more

Website User Interactivity Metrics

Marketing teams need to track various KPIs, including metrics relating to website user interactivity and seasonal variations in user activity. With time series analysis, marketing professionals can create action plans to reduce bounce and dormancy rates and increase their search engine rankings. Learn more

Seasonality Time Series

As retail sales fluctuate throughout the year, companies need to produce accurate sales forecasts to ensure they can meet consumer demand. For instance, as this graph illustrates, sales typically peak in the fourth quarter of each year, sparked by holiday discounts. Learn more

Cab Booking

Accurately forecasting customer demand is critical in the transportation industry. For example, time series analysis can help companies plan taxicab and driver availability. Plus, with Bold BI’s drill-down feature, you can view even more detailed breakdowns of your data with a simple click.

Time Series Analysis in Departments

Profit & Loss Summary

For financial professionals, tracking profits and losses is critical, this data is the basis for all the decisions a company makes. With time series analysis, you can analyze multiple financial data points by month, empowering your team to make data-driven decisions. Learn more

Project Monthly Expenses

In the information technology industry, it is crucial for each department to track project costs. For example, with a stacked view widget such as a bar chart, you can easily compare monthly expenses such as administrative, development, infrastructure, maintenance, and support costs. Learn more

Claim Amount Analysis

In the insurance industry, seasonal variations in the weather, travel habits, and more can cause significant changes to the claims that customers file. Use time series analysis to analyze claim amounts, determine when certain claims are likely to be filed, and track costs. Learn more