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Data analysis and business intelligence

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    Data analysis and business intelligence

    In the field of data analysis and business intelligence (BI), stradevz management consulting company can help organizations make intelligent decisions, optimize performance, and discover hidden opportunities by designing and deploying data-driven systems.

    Data-driven analysis

    Identify trends, patterns, and hidden opportunities for more accurate and faster decision-making.

    Smart management dashboards

    Providing interactive, visual, and real-time reports for senior managers and key organizational units.

    Business Intelligence, the intelligent decision-making engine of your organization

    With stradevz's BI consulting services, your organization can optimize its performance, make smarter decisions, and uncover hidden opportunities by relying on accurate data and advanced analytics. We guide organizations towards a data-driven decision-making culture by designing business intelligence infrastructures, predictive modeling, and connecting analytics to management.

    • Data security
    • Dedicated architecture
    • Predictive analysis
    • Interactive dashboards

    📊 1. Analyze the current situation and develop a data-driven strategy

    Analyze the current state and knowledge maturity of the organization
    Develop policies, processes, and knowledge management structure
    Select or design appropriate software for knowledge management
    Define the cycle of creating, storing, sharing, and using knowledge

    🏗 2. Design and deployment of business intelligence infrastructure

    Designing business intelligence systems architecture (BI Architecture)

    Selecting BI tools according to needs (Power BI, Tableau, Qlik, Metabase, etc.)

    Designing Data Warehouse and Data Lake

    Defining data models (Data Modeling)

    📈 3. Designing management and operational dashboards

    Designing analytical dashboards for senior managers and different units

    Connecting dashboards to data sources (ERP, CRM, HRM, Excel, databases)

    Providing graphical, interactive and real-time analyses (RealTime)

    Designing automated analytical reports for decision makers

    🔍 4. Data analysis to identify trends, patterns and critical points

    Analyzing sales, financial, human resources, operations and… data

    Identifying profitable customers, best-selling products and factors affecting profits

    Analyzing customer churn (Churn) and its reasons

    Identifying the root causes of the organization’s problems with data analysis (Root Cause Analysis)

    🧠 5. Predictive Modeling and Predictive Analytics

    Designing models for forecasting sales, demand, risk, customer churn, etc.

    Using Machine Learning algorithms in advanced analytics

    Designing early warning systems for risks and deviations

    🔄 6. Connecting business intelligence to management decision-making

    Defining data-based decision-making scenarios

    Designing a reporting structure for management meetings

    Consulting in analyzing results and extracting management insights

    Helping to make agile, accurate, and data-based decisions

    📚 7. Data-driven training and culture in the organization

    Training managers in using BI dashboards and reports

    Building a culture of being analytical at all levels of the organization

    Designing Data Literacy training programs for employees

    💼 8. Analyzing the performance of projects, teams, and units with a data-driven approach

    Designing specific performance indicators (KPIs) for each team/project

    Comparative analysis between team performance and projects

    Designing performance dashboards with Drill Down and smart filters

    🔐 9. Maintaining data security and access management

    Designing a data and dashboard access leveling structure

    Documenting data sources, defining indicators and data policies

    Defining organizational roles in the BI system for access management

    Proposed revenue model:

    Analysis project, designing and deploying a business intelligence system

    Maintenance contract, developing and updating dashboards and analytical models

    Designing dedicated dashboards based on the needs of units (sales, finance, human resources, etc.)

    Training and implementing a data analysis model at different levels of the organization

    Target customers:

    Organizations that have a lot of data but unstructured decision-making

    Companies with several separate branches, projects or departments

    Businesses that need to forecast sales, reduce costs and improve productivity

    Groups that want to be managed in an agile, data-driven and forward-looking manner