Business Intelligence: ¿Qué es? 🔥
Introduction and Background
In this section, Francisco Javier Moreno introduces himself as a consultant and trainer in the field of information technology, with a focus on business analytics. He presents an interesting discussion on the difference between business intelligence (BI) and business analytics (BA).
Difference between Business Intelligence and Business Analytics
- Business intelligence (BI) is related to analyzing past data and providing insights into what has happened.
- Business analytics (BA), also known as data analytics, focuses on understanding why certain events occurred based on historical data.
- BA goes beyond BI by using advanced algorithms and tools to transform data into valuable information for real-time decision-making.
- BI includes elements such as reporting, metrics, dashboards, and automation of alerts, while BA incorporates predictive modeling and testing of multiple variables.
Tools for Business Intelligence and Business Analytics
This section discusses various tools used in both business intelligence (BI) and business analytics (BA), highlighting their features and capabilities.
Tools for Business Intelligence
- BI tools include reporting, metrics, dashboards, cubes, ad-hoc queries, and automation of alerts.
- Examples of popular BI tools are Tableau, QlikView (stock version is free), Power BI (Microsoft Excel-based tool).
Tools for Business Analytics
- BA tools have evolved to incorporate quantitative analysis techniques based on statistical rules and algorithmic systems.
- These tools are often integrated with big data platforms to provide insights into why certain events occurred.
- Popular BA tools include Tableau (also used for BI), QlikView (more practical version), Power BI.
Benefits and Opportunities of Business Intelligence vs. Business Analytics
This section explores the benefits and opportunities offered by business intelligence (BI) and business analytics (BA), highlighting their respective orientations and methods.
Business Intelligence
- BI focuses on reviewing and analyzing past data to draw positive conclusions.
- It helps in understanding what has been analyzed and deriving insights from it.
Business Analytics
- BA focuses on predicting the future based on historical data analysis.
- It enables organizations to generate predictive scenarios and make informed decisions about sales, margins, etc.
Conclusion
Business intelligence (BI) and business analytics (BA) are two distinct but interconnected fields. While BI focuses on analyzing past data to understand what happened, BA goes beyond by using advanced algorithms to uncover why events occurred and predict future outcomes. Both BI and BA tools have their unique features and benefits, offering valuable insights for decision-making in organizations.
New Section
This section discusses the evolution of big data analytics tools and their impact on business intelligence.
Evolution of Big Data Analytics Tools
- Big data analytics tools have evolved significantly with advanced algorithms and systems that outperform traditional business intelligence.
- These tools coexist with classic business intelligence but are in an intermediate zone, offering more value and capabilities.
Adaptation to Small and Medium Enterprises
- Big data analytics tools have adapted to small and medium enterprises, providing necessary value.
- Manual processes have transformed into automated systems that update information automatically.
- These tools can generate alerts without human intervention, such as stop orders in stock trading.
Proactive Analytics vs Reactive Business Intelligence
- Traditional business intelligence is reactive, relying on past data for decision-making.
- Proactive analytics, such as big data analytics, aim to extract new insights and knowledge from data for future decision-making.
Conclusion
- Big data analytics seeks to understand new information and knowledge from data for the benefit of organizations.
If you have any further questions or need additional information, please let me know.