Business Intelligence Requirements Document

Business Intelligence Requirements Document

Prepared by: [YOUR NAME]
Email: [YOUR EMAIL]
Company Name: [YOUR COMPANY NAME]
Date Created: January 12, 2050

Introduction

This Business Intelligence Requirements Document (BIRD) outlines the essential requirements for implementing a data-driven BI solution for [YOUR COMPANY NAME]. This document captures the specific needs, metrics, and deliverables that will enable [YOUR COMPANY NAME] to leverage data for strategic and operational improvements. Through this BI initiative, the organization aims to enhance decision-making, streamline reporting, and integrate data across various departments.

I. Project Overview

This BI project will establish a framework for collecting, integrating, and analyzing key data sources to support [YOUR COMPANY NAME] in achieving its strategic goals. The BI solution will provide insightful reporting capabilities, interactive dashboards, and real-time monitoring of KPIs across departments. The project is expected to start by March 3, 2050, and be completed by October 15, 2050.

II. Stakeholders

Role

Name

Department

Contact

Responsibilities

Project Manager

Maryjane Dare

BI Development

maryjane@you.mail

Oversee BI project execution

Data Analyst

Cyrus Ortiz

Data Analytics

cyrus@you.mail

Define and validate KPIs

IT Lead

Talia Jacobs

IT

talia@you.mail

Manage data integration and security

Finance Head

Bennie Goodwin

Finance

bennie@you.mail

Provide financial metrics and targets

Operations Lead

Houston Smith

Operations

houston@you.mail

Define operational metrics

III. Requirements for Data-Driven Decision Making

The BI solution should facilitate data-driven decision-making by providing intuitive, role-based dashboards and automated reporting for various departments.

  • Data Sources: Customer transactions, ERP system, CRM database, and third-party market data.

  • KPIs Required: Customer acquisition cost, revenue growth, and customer retention rate.

  • Dashboard Views: Role-based access to dashboards for Sales, Marketing, Finance, and Operations departments.

  • Frequency of Updates: Real-time and daily updates.

  • Deadline for Completion: April 1, 2050.

IV. Requirements for Performance Monitoring and Reporting

This BI system will serve as the primary source for monitoring key performance indicators (KPIs) and generating automated reports to track performance.

  • KPIs and Metrics: Monthly revenue growth, product demand, customer satisfaction index.

  • Report Formats: PDF and Excel formats with custom filters for specific departments.

  • Automated Reports Frequency: Monthly (Finance), Weekly (Sales), Daily (Operations).

  • Dashboard Visualizations: Interactive charts, trend lines, and goal-tracking for quarterly targets.

  • Deadline for Initial Setup: June 5, 2050.

V. Data Integration Requirements

The system will integrate data from multiple departments to ensure comprehensive, cross-departmental insights are available in a centralized platform.

  • Data Sources: Sales database, CRM, Supply Chain Management (SCM) system, HR database.

  • Data Standardization Protocols: Data cleansing rules and validation checks to ensure consistency.

  • Data Refresh Rate: Daily syncs for operational data; weekly for HR and SCM data.

  • Integration Tool Required: Cloud-based ETL tool (e.g., Azure Data Factory).

  • Deadline for Data Integration Setup: July 20, 2050.

VI. Data Quality and Compliance Standards

To maintain high data quality and compliance, especially in financial and customer-related data, the BI system will include validation and security protocols.

  • Data Accuracy Standards: Accuracy rate of at least 99.5% in financial and customer data.

  • Security Requirements: Compliance with GDPR, CCPA, and internal data protection policies.

  • Quality Checks: Automated validation for missing data, outliers, and duplicates.

  • User Access Controls: Role-based permissions with monthly audits.

  • Implementation Deadline: August 10, 2050.

VII. Predictive and Prescriptive Analytics Requirements

Advanced analytics models will be implemented to support forecasting and scenario planning for key business areas.

  • Predictive Models: Demand forecasting, customer churn prediction.

  • Data Inputs: Historical sales data, customer feedback, website analytics.

  • Model Accuracy Goal: At least 85% accuracy in demand forecasting.

  • Visualization and Reporting: Scenario comparison charts, interactive what-if analyses.

  • Deadline for Initial Model Implementation: September 30, 2050.

VIII. Conclusion

This Business Intelligence Requirements Document sets the foundation for [YOUR COMPANY NAME]’s BI project, ensuring the solution aligns with business goals and user needs. By leveraging comprehensive data integration, real-time reporting, and predictive analytics, [YOUR COMPANY NAME] will gain a competitive advantage through improved decision-making and operational efficiency.

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