Smart Data Collective
SEPTEMBER 16, 2020
Regardless of your industry, whether it’s an enterprise insurance company, pharmaceuticals organization, or financial services provider, it could benefit you to gather your own data to predict future events. Deep Learning, Machine Learning, and Automation. Objectives and Usage.
Domo
MARCH 17, 2017
Domo was also invited to be part of the future session panel, discussing ways executives can navigate the next decade as brand ambitions flourish alongside advances in big data, automation, real-time analytics, artificial intelligence and personalization.
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Marutitech
DECEMBER 17, 2021
Simply put, predictive analytics is predicting future events and behavior using old data. Predicting future events gives organizations the advantage to understand their customers and their business with a better approach. You can make use of a regression algorithm for predicting the subsequent outcomes of time-driven events.
Data Pine
MARCH 25, 2020
These reports have the power to store all your data and generate beautiful dashboards that can tell your data narrative in a simple, visual way. But how can you automate reports and what kind of features you should look for when automating your reporting schedule? Automated reports in marketing.
Argon Digital
OCTOBER 24, 2023
This capability is particularly impactful in financial environments bustling with large volumes of complex data. Automation contributes to predictive analytics by utilizing historical data to identify likely future outcomes.
Astera
JUNE 16, 2023
After extraction, the data is validated, verified, and cross-checked against predefined rules and formats to ensure accuracy and consistency. This step helps identify any errors, discrepancies, or missing information in the captured data. Automated systems are also equipped to handle exceptions.
Astera
JANUARY 19, 2024
Support for various integration patterns such as event-driven web services, batch, streaming, and ETL integration. Its feature set encompasses data automation and integration functions, allowing the efficient delivery of data to data lakes and cloud data warehouses through visual ETL and ELT processes.
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