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Each participant plays a role in the implementation process:IT specialists are responsible for the technical implementation and integrationof the system with the existing IT infrastructure Data analysts assist incustomizing and customizing analytical models and reports Project managersensure that deadlines, budgets, and coordination among all participants are metEffective communication within the team and support from the company's seniormanagement are key factors in the successful implementation of a BI system.Stages of implementing a BI system Stage 1 The first and key stage of implementinga BI system is the collection and integration of data from various sources.In modern companies, data is often stored in a variety of USA Phone Number List systems and formats: CRM, ERP, financial systems, spreadsheets, externaldatabases, etc. Effective implementation of BI involves creating a single,integrated environment where all this data is collected in a single repositoryor logically linked for ease of access and analysis. This process involvescleaning data, transforming it, and loading it into a BI system to ensure thatthe information needed for analysis is accurate, up-to-date, and complete.Stage 2 Once the data is available in the BI system, the next step is to createanalytical models. These models allow you to conduct complex data analysis,identify patterns, predict trends and generate insights.
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During this stage, analysts and data scientists developalgorithms and models that may include financial modeling, demand forecasting,analysis of the effectiveness of marketing campaigns, and much more. The goalis to turn raw data into actionable information that helps businesses makeinformed decisions. Stage 3 In order to make data analysis accessible andunderstandable to a wide range of users, it is necessary to develop dashboardsand reports. This stage involves data visualization: creating graphs, charts,heat maps and other visualization tools that provide a clear picture of keyperformance indicators (KPIs), trends and business process performance.
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