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When an organization is considering a business intelligence solution, it will often focus on one primary need, e.g., data visualization, datadiscovery, BI self-service etc. The average user knows that they need good information to make day-to-day, tactical, operational and strategic decisions.
When an organization is considering a business intelligence solution, it will often focus on one primary need, e.g., data visualization, datadiscovery, BI self-service etc. The average user knows that they need good information to make day-to-day, tactical, operational and strategic decisions.
When an organization is considering a business intelligence solution, it will often focus on one primary need, e.g., data visualization, datadiscovery, BI self-service etc. The average user knows that they need good information to make day-to-day, tactical, operational and strategic decisions.
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This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’
This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ About Smarten.
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This article provides a brief explanation of the ARIMA method of analytical forecasting. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. What is ARIMA Forecasting?
This article provides a brief explanation of the ARIMA method of analytical forecasting. This analytical forecasting method is suitable for instances when data is stationary/non stationary and is univariate, with any type of data pattern, i.e., level/trend/seasonality/cyclicity. What is ARIMA Forecasting? About Smarten.
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This article describes the analytical technique of multilayer perceptrons for classification. MLP’s can be applied to complex non-linear problems, and it also works well with large input data with a relatively faster performance. What is a Multilayer Perceptron Classifier? About Smarten.
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This article describes the Simple Linear Regression method of analysis. About Smarten The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced DataDiscovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
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This article provides a brief overview of isotonic regression technique. The Smarten approach to augmented analytics and modern business intelligence focuses on the business user and provides tools for Advanced DataDiscovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
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This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced DataDiscovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.
This article describes the Simple Linear Regression method of analysis. The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced DataDiscovery so users can perform early prototyping and test hypotheses without the skills of a data scientist. About Smarten.
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