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Data is everything in the busy world of business. Effective data collection, analysis, and visualization are essential for staying competitive and making well-informed decisions. In the field of business

In the ever-changing landscape of data science and business intelligence, tools that empower professionals in data science are helpful. IBM Cognos Analytics is a friend or can even be the best friend of

In a world where we're constantly bombarded by a tidal wave of data, courtesy of tech giants, financial institutions, retail moguls, healthcare systems, and government agencies, it's abundantly clear that

Data visualization is an essential part of data analytics as it allows for the presentation of data in a less technical manner through the use of graphs and plots. It shows performance results and statistical summaries of critical insights at a glance to help decision-makers make better decisions quickly and accurately. Data visualization tools vary from free downloadable software to premium web-based platforms. IBM Cognos is one of the popular web-based data dashboarding platforms employed by prominent organizations such as the United Kingdom's Ministry of Defence, Georgetown University in Washington, DC, and Hilton Grand Vacations in Orlando.

My academic passion encompasses a diverse range of scientific subjects, including geography, meteorology, and the intricate history of our planet. This fervor drives me to remain consistently informed

IBM Cognos Analytics empowers data-driven decisions through visualization, analysis, AI insights, and robust data governance.

A business intelligence (BI) tool called IBM Cognos Analytics aids organizations in data analysis and better decision-making. It offers a complete range of capabilities for event management, dashboards,

To make good business decisions, one must have access to information that can supply answers to problems met. However, for stakeholders and other people involved who work outside of the company who do

IBM Cognos Analytics is a self-service business intelligence (BI) and analytics platform that helps businesses understand their data and make better decisions. It provides a comprehensive set of capabilities

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Last week, the discussion was lengthy. I’d say, the topics were grouped according to their roles and uses in statistics. The first part was about contingency tables and the chi-square test. A contingency

Section 2: In this section, we talked about contingency tables, measures of distribution, measures of variation, and distribution visualization. The contingency table talks about representing relationships

In our Business Intelligence class last August 22 and 24, we covered sections 2 to 5 of Udemy's Business Analytics course. These sections included Contingency Tables, Measures of Distribution, Measures

Recalled lessons: Bivariate data, scatter plots, and null values. Handling missing data strategies. Entropy in data analysis. Structure of analytical reports. Automation with macros and stored procedures. Linear regression essentials.

Automation: The Key to Efficiency and Profitability The discussions in the August 22 and 24 meetings were enlightening and refreshing. Automation, without a doubt, saves time and effort. It can minimize

By: Lannah Saldana The class discussions last August 22 and 24 revolved around two major topics: descriptive and inferential statistics. Descriptive statistics show the characteristics and behavior of

The discussion last August 17 started with the topic of the Contingency Table. The use of this kind of table can help us to understand what's the relationship between categorical variables. It will also

The last discussions were about creating contingency tables, measures of variation, and knowing how normal, kurtosis, and asymmetrical distribution work as part of the business intelligence course. Bivariate