It’s crucial for businesses to have an intelligent prediction system that allows them to forecast based on recurring patterns in data. One of the useful software is time series intelligence software which helps them to automatically analyze data with powerful effects. Here are some of the best software for time series analysis.
14+ Time Series Intelligence Software
1. Azure Time Series Insights
2. Seeq
3. Anodot
4. Google Cloud Interference API
5. TrendMiner
6. Trendalyze
7. Avora
8. Amazon Forecast
9. Warp 10
10. SensorMesh
11. Automatic Forecasting Systems
12. AxiBase Enterprise Reporter
13. Clarify
14. Datapred
15. Shapelets
What Is Time Series Intelligence Software?
Time series intelligence software is an artificial intelligence software that automatically analyzes business trends and patterns through data science and algorithms that provide business users solutions to a specific problem. The SAS time series software is highly automated and usually operates in the background, requiring minimal intervention from human users.
Benefits
Time series intelligence software allows businesses to better determine their forecasting with the software’s machine learning software tools analyzing trends and patterns over time. The longer the time series analysis SAS software is being used as part of the operations, the better the software can familiarize itself in providing helpful, specific solutions to the business’ problems.
The time series SPSS software also can process complex data so well that its result may help simplify the understanding of data to users, relying on fewer jargon terms and more straight to the point. The time series analysis tableau software also uses machine learning software tools to allow the software to analyze the frequency of certain activities, making the software smarter in its analysis as time goes on.
Features
Time series intelligence software should be able to process time-series data from various databases, with bigger bulks of time series being process through the software’s big data analytics software tools. The SAS time series forecasting software should also be able to monitor time activities taking place continuously which will allow the software to better familiarize how the company operates. The time series analysis software should also be able to work on its analysis on the background with minimal interference from human users.
In the SAS time series forecasting, the software uses machine learning software to be able to notice patterns, behavior, and trends found during the analysis and monitoring by the software. The time series analysis software also uses sales forecasting software tools that help them predict what might positively impact or negatively affect the company using the data available.
- Big data analytics tools
- Machine learning tools
- Sales forecasting tools
Top 10 Time Series Intelligence Software
1. Shapelets
Shapelets’s machine learning software helps users process big data time series analytics smoothness in real-time.
2. Azure Time Series Insights
Azure Time Series Insights turns IoT data into helpful insights that encourage companies to take action and resolve their industrial issues. Azure is owned and developed by Microsoft, which the parent company has 20,4819 employees and earns annual revenue of $2.14 billion.
3. Seeq
Seeq’s software provides advanced analytics solutions for processing data for manufactures with its data analytics software. Seeq has 147 employees and earns annual revenue of $21.3 million.
4. Clarify
Clarify provides quick and fast-paced tools with a touch of human context to allow companies to interpret their industrial data with useful value. Clarify has 144 employees and earns annual revenue of $20.9 million.
5. Anodot
Anodot’s time series intelligence software provides automated tools for businesses to monitor their earnings, expenses, and customer experience. Anodot has 101 employees and earns annual revenue of $14.6 million.
6. TrendMiner
TrendMiner provides industrial analytics software that helps companies quickly analyze their impact through their process industry analytics system. TrendMiner has 83 employees and earns annual revenue of $12 million.
7. Avora
Avora helps businesses to find errors that could potentially put them at risk that helps them eliminate many failures as much as possible so that they can grow in business. Avora has 61 employees and earns annual revenue of $8.8 million.
8. Warp 10
Warp 10 wants companies to find value in their data that helps them analyze their sensor data. Warp 10 is owned and developed by SenX has 10 employees and earns annual revenue of $1.5 million.
9. AxiBase Enterprise Reporter
AxiBase Enterprise Reporter’s IT reporting software allows companies to monitor their performance through time series intelligence tools. AxiBase has 9 employees and earns annual revenue of $1.3 million.
10 Automatic Forecasting Systems
Automatic Forecasting Systems’ time series analysis software allows companies to forecast their earnings and losses with their outlier detection tools. Automatic Forecasting Systems has 8 employees and earns annual revenue of $1.2 million.
FAQs
What makes time series intelligence software stand out compared to other artificial intelligence software?
Time series intelligence software analyzes and monitors time series by analyzing trends, patterns, and anomalies taking place, making it a unique software compared to the likes of retail business intelligence software and standalone big data analytics software. Time series software does share similarities with IoT analytics software due to the almost identical tools being used in both software.
Does the time series intelligence software provide 100 percent accurate results?
Not every software is 100 percent accurate in giving solutions to users so it’s not always perfect. However, the longer that the time series intelligence software is active and part of the company operations, the smarter the software’s machine learning feature can provide intelligent insights and solutions to companies.
How much does time series intelligence software cost?
Pricing for time series intelligence software is usually customized, with the software being more pricey as more features are added depending on the pricing tier offered by software developers. Pricing for time series intelligence software varies depending on the features available and the intended target company. Small companies may benefit more from low-cost time series intelligence software, while large companies may benefit more from high-cost software.
With time-series intelligence software, businesses are well-guided of the solutions by the software thanks to its highly intelligent tools and features.
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