article thumbnail

Key Data Trends And Forecasts In The Energy Sector

Smart Data Collective

Corporations need data to forecast the market’s future and the recent drop in the price of fossil fuels have invigorated alternative energy projects globally. The increased amount of equipment it takes for wind turbines and solar PV panels requires analytical software to maintain it. Effects of Analytics.

article thumbnail

5 Tips for Implementing Rolling Forecasts

Jedox

In our last post, “ Rolling Forecasts: The Pros and Cons ,” we looked at why rolling forecasts are used, when it makes sense to use them, and for whom. In our third and last post in this series, we give five tips for a successful implementation of rolling forecasts in your organization’s FP&A processes. .

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Automate Your Yardi Real Estate Data Collection and Management

Jet Global

When the time comes for month-end reporting, ERPs like Yardi manage and compartmentalize data with out of the box reports. Yardi is property management software custom tailored to the real estate industry, designed to help users manage commercial real estate, residential, multi-family homes, low-income housing, and more.

article thumbnail

Sudden Data Developments Massively Disrupt eCommerce Software Market

Smart Data Collective

This view is shared by experts at Big Commerce and other big data publishers. A growing number of software publishers are using big data to improve the value of their algorithms. How Big Data is Changing the Future of eCommerce Software. Today, there are many software options that can benefit retailers.

article thumbnail

Financial planning & budgeting: Navigating the Budgeting Paradox

IBM Big Data Hub

Why budgeting feels like a marathon Just like marathon training takes months of preparation, crafting a budget involves a lot of data collection, metrics analysis, resource allocation and collaboration. Obsolete data and financial projections A budget, at its core, is a financial forecast.

article thumbnail

10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Where is all of that data going to come from? Your Chance: Want to test a professional logistics analytics software? Your Chance: Want to test a professional logistics analytics software? Customer data is standardized and verified Rounding out our rundown of big data logistics use cases, we’re going to look at personal data.

Big Data 275
article thumbnail

Our quest for robust time series forecasting at scale

The Unofficial Google Data Science Blog

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.