digital-maturity-assessment

Digital Maturity Assessment

Business Case

Problem Statement

Digital transformation challenges:

• Unclear current state of digitalization
• Difficulty prioritizing investments
• Lack of benchmarking capability
• No roadmap for improvement

Solution

Comprehensive digital maturity assessment framework to evaluate technology adoption, data culture, and process maturity with actionable recommendations.

Technical Implementation

import pandas as pd
from typing import Dict, Any, List, Optional
from dataclasses import dataclass, field
from datetime import datetime
from enum import Enum


class MaturityLevel(Enum):
    INITIAL = 1       # Ad-hoc, reactive
    DEVELOPING = 2    # Some processes defined
    DEFINED = 3       # Standardized processes
    MANAGED = 4       # Measured and controlled
    OPTIMIZING = 5    # Continuous improvement


class AssessmentDimension(Enum):
    STRATEGY = "strategy"
    TECHNOLOGY = "technology"
    DATA = "data"
    PROCESSES = "processes"
    PEOPLE = "people"
    CULTURE = "culture"


class SubDimension(Enum):
    # Strategy
    DIGITAL_VISION = "digital_vision"
    LEADERSHIP = "leadership"
    INVESTMENT = "investment"

    # Technology
    INFRASTRUCTURE = "infrastructure"
    SYSTEMS_INTEGRATION = "systems_integration"
    AUTOMATION = "automation"

    # Data
    DATA_QUALITY = "data_quality"
    DATA_GOVERNANCE = "data_governance"
    ANALYTICS = "analytics"

    # Processes
    STANDARDIZATION = "standardization"
    DIGITIZATION = "digitization"
    OPTIMIZATION = "optimization"

    # People
    SKILLS = "skills"
    TRAINING = "training"
    ADOPTION = "adoption"

    # Culture
    INNOVATION = "innovation"
    COLLABORATION = "collaboration"
    CHANGE_READINESS = "change_readiness"


@dataclass
class AssessmentQuestion:
    question_id: str
    dimension: AssessmentDimension
    sub_dimension: SubDimension
    question: str
    level_descriptions: Dict[int, str]
    weight: float = 1.0


@dataclass
class Response:
    question_id: str
    score: int  # 1-5
    notes: str = ""


@dataclass
class DimensionScore:
    dimension: AssessmentDimension
    score: float
    level: MaturityLevel
    sub_scores: Dict[str, float]
    gaps: List[str]
    recommendations: List[str]


class DigitalMaturityAssessment:
    """Assess organization's digital transformation readiness."""

    def __init__(self, organization_name: str):
        self.organization_name = organization_name
        self.questions: Dict[str, AssessmentQuestion] = {}
        self.responses: Dict[str, Response] = {}
        self.assessment_date = datetime.now()
        self._define_standard_questions()

    def _define_standard_questions(self):
        """Define standard assessment questions."""

        questions = [
            # Strategy
            AssessmentQuestion(
                "STR-01", AssessmentDimension.STRATEGY, SubDimension.DIGITAL_VISION,
                "Does the organization have a documented digital transformation strategy?",
                {
                    1: "No strategy exists",
                    2: "Informal ideas discussed",
                    3: "Strategy documented but not widely communicated",
                    4: "Strategy documented, communicated, and aligned with business goals",
                    5: "Strategy is continuously updated and drives all decisions"
                }, weight=1.5
            ),
            AssessmentQuestion(
                "STR-02", AssessmentDimension.STRATEGY, SubDimension.LEADERSHIP,
                "How engaged is leadership in digital initiatives?",
                {
                    1: "No leadership involvement",
                    2: "Occasional interest",
                    3: "Executive sponsor assigned",
                    4: "Active C-level championship",
                    5: "Digital-first mindset at all leadership levels"
                }, weight=1.5
            ),
            AssessmentQuestion(
                "STR-03", AssessmentDimension.STRATEGY, SubDimension.INVESTMENT,
                "What is the investment level in digital technologies?",
                {
                    1: "No dedicated budget",
                    2: "Ad-hoc project funding",
                    3: "Annual budget for digital projects",
                    4: "Multi-year investment plan",
                    5: "Strategic investment portfolio with ROI tracking"
                }, weight=1.0
            ),

            # Technology
            AssessmentQuestion(
                "TECH-01", AssessmentDimension.TECHNOLOGY, SubDimension.INFRASTRUCTURE,
                "What is the state of IT infrastructure?",
                {
                    1: "Legacy systems, no cloud",
                    2: "Some cloud adoption",
                    3: "Hybrid cloud environment",
                    4: "Cloud-first approach",
                    5: "Modern, scalable, secure infrastructure"
                }, weight=1.0
            ),
            AssessmentQuestion(
                "TECH-02", AssessmentDimension.TECHNOLOGY, SubDimension.SYSTEMS_INTEGRATION,
                "How well are systems integrated?",
                {
                    1: "Siloed systems, manual data transfer",
                    2: "Some point-to-point integrations",
                    3: "Integration middleware in place",
                    4: "API-based integration architecture",
                    5: "Real-time data flow across all systems"
                }, weight=1.2
            ),
            AssessmentQuestion(
                "TECH-03", AssessmentDimension.TECHNOLOGY, SubDimension.AUTOMATION,
                "What is the level of process automation?",
                {
                    1: "Manual processes only",
                    2: "Basic spreadsheet automation",
                    3: "Workflow automation tools in use",
                    4: "Robotic process automation (RPA)",
                    5: "AI-powered intelligent automation"
                }, weight=1.0
            ),

            # Data
            AssessmentQuestion(
                "DATA-01", AssessmentDimension.DATA, SubDimension.DATA_QUALITY,
                "How is data quality managed?",
                {
                    1: "No data quality processes",
                    2: "Reactive data cleaning",
                    3: "Data quality rules defined",
                    4: "Automated data quality monitoring",
                    5: "Continuous data quality improvement"
                }, weight=1.2
            ),
            AssessmentQuestion(
                "DATA-02", AssessmentDimension.DATA, SubDimension.DATA_GOVERNANCE,
                "What data governance is in place?",
                {
                    1: "No governance",
                    2: "Informal data ownership",
                    3: "Data governance framework defined",
                    4: "Active data stewardship program",
                    5: "Mature governance with clear accountability"
                }, weight=1.0
            ),
            AssessmentQuestion(
                "DATA-03", AssessmentDimension.DATA, SubDimension.ANALYTICS,
                "What analytics capabilities exist?",
                {
                    1: "Basic reporting only",
                    2: "Ad-hoc analysis in spreadsheets",
                    3: "BI dashboards and standard reports",
                    4: "Advanced analytics and predictive models",
                    5: "AI/ML-driven insights and prescriptive analytics"
                }, weight=1.3
            ),

            # Processes
            AssessmentQuestion(
                "PROC-01", AssessmentDimension.PROCESSES, SubDimension.STANDARDIZATION,
                "How standardized are construction processes?",
                {
                    1: "No standard processes",
                    2: "Some documented procedures",
                    3: "Standard o