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How can CIOs Build Business Value with Business Analytics?

Smart Data Collective

However, the rapid technology change, the increasing demand for user-centric processes and the adoption of blockchain & IoT have all positioned business analytics (BA) as an integral component in an enterprise CoE. They are using analytics to help drive business growth. Conclusion.

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

CIO Business Intelligence

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. Washington, D.C.,

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

Smarten

To better understand multiple linear regression, let’s look at one such analysis of independent variables: Temperature and Humidity, and a target variable (yield). How Can Multiple Linear Regression Be Helpful for Business Analysis? Use Case – 1. About Smarten.

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Business Dashboard: Door To Acute Business Insights

FineReport

In the business world, saving time can bring more efficiency and benefits to enterprises. Business dashboards can present key insights in a more automated and real-time manner, saving employees time in collecting and reporting data. Have no idea how to combine business dashorad with your concrete business?

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Top 5 BI tools of 2019: Comparison and How to decide

FineReport

Tableau lacks functionality required for a comprehensive business intelligence tool, such as large-scale reporting, the building of data tables, and static layouts. Pro: Easy to make complex reports. The capacity for dealing with complex reports is impressive. Con: Inconvenient Multi-dimensional analysis.

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Augmented Analytics Algorithms and Techniques: Learning for Citizen Data Scientists

Smarten

This twenty-four (24) article series includes: Naïve Bayes Classification: What is Naïve Bayes Classification and How is it Used for Enterprise Analysis? Use Case(s): Weather Forecasting, Fraud Analysis and more. Use Case(s): Market Basket Analysis, Frequently Bundled Products and more.