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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 (updated 2026-03-12)
Production-ready
✓ Instant download✓ Lifetime updates✓ MIT licensed✓ MIT license✓ Secure checkout (Stripe)

📋 What's Inside 20 files

  • README.md— Product overview, getting started guide, and tool usage reference
  • 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 benchmarks
  • tools/stakeholder_mapper.py— Influence/interest stakeholder quadrant mapper with engagement plans
  • tools/platform_cost_benchmarker.py— Benchmarks platform costs against industry averages across 10 metrics
  • business_case/roi_calculator.py— Python ROI calculator with TCO comparison, NPV, IRR, and sensitivity analysis
  • business_case/business_case_template.md— Executive business case template for data platform investment
  • business_case/vendor_comparison.md— Vendor comparison framework for major cloud data platforms
  • assessment/maturity_assessment.md— 80-question data platform maturity assessment across 8 dimensions
  • assessment/organizational_readiness.md— Organizational readiness assessment for data transformation
  • dashboards/executive_dashboard_designs.sql— 6 executive dashboard SQL query designs
  • presentations/board_presentation_template.md— 12-slide board presentation outline with speaker notes and objection playbook
  • presentations/monthly_data_report.md— Monthly data platform report with KPIs, incidents, cost report, capacity forecast
  • strategy/data_strategy_onepager.md— Board and C-suite one-pager template
  • strategy/first_100_days.md— First 100 days plan for new CDOs and Heads of Data

📁 File Structure 20 files

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

📖 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.

FileDescription
`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
FileDescription
`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
FileDescription
`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

... preview truncated, see full README in product download.

📄 Code Sample .py preview

tools/maturity_scorer.py#!/usr/bin/env python3 """ Data Platform Maturity Scorer Executive Data Strategy Toolkit — Datanest Digital (https://datanest.dev) Interactive CLI tool that scores your organization's data platform maturity across 6 key dimensions, producing a detailed report with radar chart visualization, gap analysis, and prioritized recommendations. This tool complements the qualitative `assessment/maturity_assessment.md` with a quantifiable, repeatable scoring process that can be tracked over time. Usage: python maturity_scorer.py # Interactive mode python maturity_scorer.py --example # Run with example scores python maturity_scorer.py --json input.json # Load scores from JSON python maturity_scorer.py --export out.json # Export results to JSON Requires: Python 3.10+ (no external dependencies) """ from __future__ import annotations import argparse import json import math import sys from dataclasses import dataclass, field, asdict from enum import Enum from typing import Optional # --------------------------------------------------------------------------- # Constants — Maturity levels and dimension definitions # --------------------------------------------------------------------------- class MaturityLevel(Enum): """Maturity levels aligned to CMMI-style progression. Each level represents a distinct capability plateau. Organizations

📅 Changelog

v1.1.0 — Initial release. Last updated 2026-03-12.

Purchases include lifetime updates. Check the product page for the latest version.

📄 Product Preview

Try the interactive reader and demo tools below, or get the full product with all content unlocked.

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❓ Frequently Asked Questions

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