Executive Data Strategy Toolkit

$89

Board-ready data strategy deliverables: maturity assessment, ROI calculator, executive dashboards, vendor comparison, and First 100 Days plan.

📁 20 files🏷 v1.1.0

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📁 File Structure 20 files

executive-data-strategy-toolkit/ ├── README.md ├── assessment/ │ ├── maturity_assessment.md │ └── organizational_readiness.md ├── budget/ │ └── budget_request_template.md ├── business_case/ │ ├── business_case_template.md │ ├── roi_calculator.py │ └── vendor_comparison.md ├── dashboards/ │ └── executive_dashboard_designs.sql ├── metrics/ │ └── success_metrics_framework.md ├── presentations/ │ ├── board_presentation_template.md │ └── monthly_data_report.md ├── reviews/ │ └── quarterly_strategy_review.md ├── roadmap/ │ ├── change_management_plan.md │ └── platform_roadmap_generator.md ├── strategy/ │ ├── data_strategy_onepager.md │ └── first_100_days.md └── tools/ ├── budget_calculator.py ├── maturity_scorer.py ├── platform_cost_benchmarker.py └── stakeholder_mapper.py

📖 Documentation Preview README excerpt

Executive Data Strategy Toolkit

Product ID: executive-data-strategy-toolkit

Version: 1.1.0

Price: $89

Author: Datanest Digital (https://datanest.dev)

Category: Strategy

Overview

The Executive Data Strategy Toolkit is a comprehensive, ready-to-use collection of frameworks, templates, assessments, and runnable Python tools designed for CDOs, Heads of Data, VPs of Analytics, and senior data leaders who need to build, communicate, and execute a modern data strategy.

Whether you're stepping into a new leadership role, preparing a board presentation, or building the business case for a data platform investment, this toolkit gives you production-tested templates, frameworks, and calculators to move fast and lead with confidence.

What's Included

Python Tools (No External Dependencies)

Run these tools directly from your terminal. Each supports interactive mode, example data, JSON import/export, and produces formatted reports to stdout.

File	Description
`tools/maturity_scorer.py`	Interactive 6-dimension maturity assessment with radar chart, priority matrix, and recommendations
`tools/budget_calculator.py`	Data platform budget calculator with staffing model, quarterly projections, and benchmark comparison
`tools/stakeholder_mapper.py`	Influence/interest stakeholder quadrant mapper with per-quadrant engagement plans
`tools/platform_cost_benchmarker.py`	Benchmarks your platform costs against industry averages across 10 metrics
`business_case/roi_calculator.py`	ROI calculator with TCO comparison, NPV, IRR, payback period, and sensitivity analysis

Quick start with any tool:


# See example output immediately
python tools/maturity_scorer.py --example
python tools/budget_calculator.py --example
python tools/stakeholder_mapper.py --example
python tools/platform_cost_benchmarker.py --example
python business_case/roi_calculator.py --example --sensitivity

# Run interactively (guided prompts)
python tools/maturity_scorer.py

# Load from JSON and export results
python tools/budget_calculator.py --json my_inputs.json --export budget.json

Assessment & Discovery

File	Description
`assessment/maturity_assessment.md`	80-question data platform maturity assessment across 8 dimensions
`assessment/organizational_readiness.md`	Organizational readiness assessment for data transformation initiatives

Business Case & ROI

File	Description
`business_case/roi_calculator.py`	Python ROI calculator with TCO comparison, payback period, and sensitivity analysis
`business_case/business_case_template.md`	Executive-ready business case template for data platform investment

... continues with setup instructions, usage examples, and more.

📄 Code Sample .py preview

business_case/roi_calculator.py #!/usr/bin/env python3 """ Data Platform ROI Calculator Executive Data Strategy Toolkit — Datanest Digital (https://datanest.dev) Calculates ROI, TCO comparison, NPV, and payback period for data platform investments. Supports scenario analysis and sensitivity testing. Usage: python roi_calculator.py # Interactive mode python roi_calculator.py --example # Run with example data python roi_calculator.py --json input.json # Load from JSON file Requires: Python 3.9+ (no external dependencies) """ from __future__ import annotations import argparse import json import math import sys from dataclasses import dataclass, field, asdict from typing import Optional @dataclass class CostItem: """A single line item in a cost model.""" name: str annual_cost: float category: str # "platform", "people", "tooling", "operations", "other" is_one_time: bool = False growth_rate: float = 0.0 # annual growth rate (e.g., 0.10 for 10%) notes: str = "" def cost_at_year(self, year: int) -> float: """Calculate cost for a given year (0-indexed).""" if self.is_one_time: return self.annual_cost if year == 0 else 0.0 return self.annual_cost * ((1 + self.growth_rate) ** year) @dataclass class BenefitItem: """A single benefit line item.""" name: str annual_value: float # ... 447 more lines ...

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