# Forecasting Alphabet's Revenue  
**Datamago team**  
*July 2, 2025*  
We forecast Alphabet's revenue from June 2025 to March 2026. Alphabet is one of the world's most valuable companies with over 2 trillion in market capitalization, so the stakes for creating a dependable forecast are high. We show how easy forecasting this type of financial data can be with Datamago so that you can generate a clear outlook for your own organization and effectively prepare for the future.

# A New Era of Data Discovery: Introducing Open Data Search  
**Datamago team**  
*June 25, 2024*  
Open Data Search simplifies the discovery and utilization of publicly available data from across the web by consolidating a vast amount of sources under one roof with consistent formatting, fast, user friendly search, and daily updates.

# How to Forecast Renewable Energy Consumption  
**Datamago team**  
*May 20, 2022*  
A quick guide on preparing renewable energy data and creating accurate forecasts with simple techniques.

# A Guide to Forecasting After COVID  
**Datamago team**  
*April 29, 2022*  
Many datasets have been impacted in one way or another by COVID and it’s no longer uncommon to see sudden, meaningful shifts in the historical data. Forecasting in these conditions can be very difficult, but there are a couple techniques that can significantly improve the process and results.

# Variables - When and How to Use Them  
**Datamago team**  
*April 21, 2022*  
If used purposefully, variables can help explain historical fluctuations and assist in predicting the future. However, gathering the extra data can be time consuming with no guarantee of improved results. Having an intuition for how variables work, how to choose them, and when to use them will save you time and increase the likelihood of success.

# When is a Forecast Good Enough?  
**Datamago team**  
*April 15, 2022*  
You can always eke out a little more accuracy, but there's an opportunity cost in terms of where you spend your time. Perfectly predicting the future is impossible—instead, it's better to focus on balancing performance with a reasonable looking forecast. We’ll discuss 3 generic guidelines for determining when a forecast is good enough.

# Resampling - Why and How  
**Datamago team**  
*April 6, 2022*  
We don’t always need to forecast in the same time scale as our historical data. You may be more interested in an overarching pattern or a predicted total than in seeing a value for every single step in the forecast window. This is where resampling comes in. It’s the perfect technique to reduce information overload and forecast broader trends and seasonality.

# Smoothing  
**Datamago team**  
*April 2, 2022*  
Smoothing is a simple yet powerful technique to improve forecasts. Learn what it is and how to use it.

# How to Identify and Fix Anomalies  
**Datamago team**  
*March 23, 2022*  
We're often faced with anomalies in our historical data for any number of reasons (COVID is a recent example that has had nearly universal impact). Whichever the case, consistent data is key to successful forecasting. We’ll discuss 4 simple yet powerful techniques to fix anomalies and improve results.

# Does the Past Predict the Future?  
**Datamago team**  
*March 16, 2022*  
Whether or not the past can predict the future depends on your data and if the underlying conditions producing the pattern are stable. We’ll look at 3 generic types of raw data predictability and point you to the right resources for how to manage each one with Datamago.