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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. For both reasons, the role of CIOs has to embrace automation and analytical thinking in strategizing the organization’s initiatives. is at the doorstep. and shall touch USD 65.4

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What is a business analyst? A key role for business-IT efficiency

CIO Business Intelligence

What is a business analyst? Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.

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What is ARIMAX Forecasting and How is it Used for Enterprise Analysis?

Smarten

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. What is ARIMAX Forecasting? This method is suitable for forecasting when data is stationary/non stationary, and multivariate with any type of data pattern, i.e., level/trend /seasonality/cyclicity.

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Why Low-Code No-Code is Important for BI Tools!

Smarten

Consider the Benefits of Low Code No Code for Augmented Analytics! Statista predicts that, ‘… the global low-code platform market is forecast at approximately sixty-five (65) billion USD within the next several years.’ At the organizational level, the low code, no code approach encourages user empowerment and user adoption.

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What is Multiple Linear Regression and How Can it be Helpful for Business Analysis?

Smarten

This article describes the analytical technique of multiple linear regression. What is Multiple Linear Regression Analysis? To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). Use Case – 1. About Smarten.

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Advantages of Augmented Analytics!

Smarten

What Are the Benefits of Augmented Analytics? Augmented Analytics may sound complicated but the goal is to use all those complicated analytical techniques and algorithms as an underpinning for an advanced analytics solution that is suitable for the skills o an average business user.

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Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.