Post by account_disabled on Feb 22, 2024 4:06:14 GMT -6
Certainly, no one is aware that the purpose of BI is, ultimately, to support decision-making in the organizational context of a company, corporation or institution. An ultimate goal that has widely known consequences: minimizing risks, improving competitiveness, taking advantage of opportunities ... and that requires covering, at the same time, areas as broad and complex as data management or strategic business planning the company.
But do we know how to state the key operations that distinguish and characterize a BI environment? Would we know how to trace the route that leads, from raw data, to successful decision making?
The 3 key operations in Business Intelligence
Let's be clear that, in the attempt to simplify the operations and processes that characterize a business intelligence environment, we can incur in a trivialization and extreme simplification of a highly complex issue, which requires professional Chinese Student Phone Number List advice and the support of a technical team. expert for implementation and first steps in BI ecosystems. Therefore, we strongly recommend consulting the resources published in our training section , available completely free of charge, which provide extensive and complete information on the key aspects of business intelligence.
That said, we can state the three basic areas in which the main operations carried out in BI are included, visualizing the business intelligence ecosystem as a pyramid with analysis and data management at its base , and the decision making at the top.
Data analysis and management : Decision making must be supported by a thorough analysis of the available data. Given the speed with which the variety and volume of data sets handled by organizations is increasing, it is essential to have a sufficiently robust corporate data analysis strategy , supported by effective and efficient data management and analysis tools. This is where Business Intelligence comes into play, allowing not only optimal analysis and management, but also facilitating the identification of relevant data and its decoding into sensitive information for the company. To delve deeper into the issue, the guide 10 keys to defining your corporate data management strategy , available completely free of charge, is very suitable.
What is not measurable, cannot be controlled nor improved. This maxim seems to have inspired not only the invention of the Balanced Scorecard (central tool in BI environments), but also the development of comprehensive Business Intelligence solutions. This is the magnitude and importance of measurement in the business intelligence ecosystem : metrics and reports, performance reports, forecasts... become central elements in the set of operations carried out in BI environments, from the consideration from historical reports to the design of what-if scenarios.
Visualization : the culmination of Business Intelligence resources to support decision making are visualization systems and tools, increasingly essential when it comes to not only obtaining almost immediate knowledge from relevant data translated into graphical information and friendly , but also to show and expose data to third parties involved in the future of the organization customers, investors.
But do we know how to state the key operations that distinguish and characterize a BI environment? Would we know how to trace the route that leads, from raw data, to successful decision making?
The 3 key operations in Business Intelligence
Let's be clear that, in the attempt to simplify the operations and processes that characterize a business intelligence environment, we can incur in a trivialization and extreme simplification of a highly complex issue, which requires professional Chinese Student Phone Number List advice and the support of a technical team. expert for implementation and first steps in BI ecosystems. Therefore, we strongly recommend consulting the resources published in our training section , available completely free of charge, which provide extensive and complete information on the key aspects of business intelligence.
That said, we can state the three basic areas in which the main operations carried out in BI are included, visualizing the business intelligence ecosystem as a pyramid with analysis and data management at its base , and the decision making at the top.
Data analysis and management : Decision making must be supported by a thorough analysis of the available data. Given the speed with which the variety and volume of data sets handled by organizations is increasing, it is essential to have a sufficiently robust corporate data analysis strategy , supported by effective and efficient data management and analysis tools. This is where Business Intelligence comes into play, allowing not only optimal analysis and management, but also facilitating the identification of relevant data and its decoding into sensitive information for the company. To delve deeper into the issue, the guide 10 keys to defining your corporate data management strategy , available completely free of charge, is very suitable.
What is not measurable, cannot be controlled nor improved. This maxim seems to have inspired not only the invention of the Balanced Scorecard (central tool in BI environments), but also the development of comprehensive Business Intelligence solutions. This is the magnitude and importance of measurement in the business intelligence ecosystem : metrics and reports, performance reports, forecasts... become central elements in the set of operations carried out in BI environments, from the consideration from historical reports to the design of what-if scenarios.
Visualization : the culmination of Business Intelligence resources to support decision making are visualization systems and tools, increasingly essential when it comes to not only obtaining almost immediate knowledge from relevant data translated into graphical information and friendly , but also to show and expose data to third parties involved in the future of the organization customers, investors.