DataRobot
APRIL 26, 2021
Demand forecasting is a common Time Series use case in DataRobot. Using historical sales data, together with data related to product features, calendar of events, and economic indicators, we can produce forecasts of future demand. To improve the performance of such demand forecasting models, we can use several modeling techniques.
Sisense
FEBRUARY 25, 2021
One of the most important applications of data is using it to forecast the future. This is where forecasting analytics can be a game-changer in the decision-making process. In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. Data-driven forecasting decisions.
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Cloudera
DECEMBER 20, 2022
With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. This scenario suggests that in the not too distant future, there will be a large “long-tail” of producers that will have to be taken into account for any production forecasting model.
Smart Data Collective
NOVEMBER 26, 2021
Data analytics helps with budget planning, forecasting, and unified attribution to improve the overall client experience. Now more than ever, creating optimal consumer experiences is important to drive more business traffic and win more sales. This marketing system is goal-oriented and targeted. Holistic Customer Experience.
CIO Business Intelligence
JUNE 14, 2023
Organization: INFORMS Price: US$200 for INFORMS members; US$300 for nonmembers How to prepare: A list of study courses and a series of webinars are available through registration. They should also have experience with pattern detection, experimentation in business, optimization techniques, and time series forecasting.
Alation
MARCH 7, 2023
As Harrison Fine, a data science analyst at Avista, mentioned during a recent webinar : “Everything is just right there at your fingertips. How Avista Leverages Alation: 5 Key Uses Cases Weather forecasting As weather changes, so does the need for energy to cool or heat customer homes and businesses.
Sisense
FEBRUARY 3, 2021
Infusing AI into their analytics platform has become de rigueur for modern BI companies to assist users in forecasting data, identifying trends, and providing explanations that may not be visible to the naked eye. Having an accurate forecast is key for a business to make decisions. Inbar Shaham is a Senior Product Manager at Sisense.
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