digital-maturity-assessment
Assess organization's digital transformation readiness. Evaluate data culture, technology adoption, and process maturity.
What this skill does
# 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
```python
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 oRelated in General
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