One of the biggest reasons to use DWS to guide decision-making is to ensure your decisions are based on actual truth (cold, hard numbers), not just someone’s perception of reality.
The most common problems faced by Small Medium-sized Business (SMBs) while thinking of interpreting and making sense of the data in the organization.
What If You Could Source, Analyze and Monitor Your Data With ONE Platform?
Time series analysis ARIMA Forecasting using python stats models - Seasonal Autoregressive Integrated Moving-Average with eXogenous regressors (SARIMAX) for two different data sets
This article will illustrate exponential smoothing time series forecasting methods other than covered in part 1 and part 2.
This article will illustrate more forecast methods other than covered in part 1. however we are going to use the same dataset. Let’s get into the models one by one.
Time series data is a record of sequential data measured at a regular time-intervals over a period of time.
Trend analysis is to find patterns in data, such as ups & downs. A “trend” is an upwards or downwards shift in a data set over time. In retail, this analysis of past trends in sales or revenue
