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Ken Research Helps Healthcare Group Improve Forecast Accuracy by 30% and Reduce Cost Variability by 20%

February 27, 2025

by Ken Research

Introduction

A distinguished healthcare division of a global conglomerate sought to overcome financial challenges that hampered its ability to manage operational costs and strategize growth effectively. Ken Research partnered with this group to deliver a data-driven financial modeling solution that aligned with its business objectives. The intervention ensured measurable outcomes while equipping the organization with tools to forecast and mitigate uncertainties.

Aligning Objectives and Results

Objective 1: Develop an Exponential Financial Model for Accurate Planning

  • Key Result 1.1: Create a comprehensive feasibility model incorporating cash flow, capital structure, and ROI analysis, improving the accuracy of financial planning by 30%.
  • Key Result 1.2: Integrate scenario-based forecasting to address fluctuating cost variables, enabling a 25% improvement in operational decision-making.

Objective 2: Optimize Operational Costs and Reduce Variability

  • Key Result 2.1: Identify three key cost drivers (staff salaries, medical supplies, utilities) and reduce overall cost variability by 20%.
  • Key Result 2.2: Benchmark expenses against industry standards, discovering inefficiencies that contributed to 10% excess spending.

Objective 3: Enhance Decision-Making Through Research and Predictive Analysis

  • Key Result 3.1: Conduct 15 industry expert interviews, extracting actionable insights to support executive decision-making.
  • Key Result 3.2: Deliver a sensitivity analysis framework to prepare the client for potential market uncertainties, ensuring readiness for unforeseen cost fluctuations. 

The Business Issue

The healthcare group faced pressing challenges:

  1. Insufficient Resources for Financial Planning: A lack of sophisticated models to map cash flow and feasibility hindered long-term planning.
  2. Unpredictable Operating Costs: Key cost drivers, such as staff salaries (50%), medical supplies (30%), and utilities (20%), fluctuated significantly, threatening profitability and growth.

These obstacles made it difficult for the organization to achieve financial stability or confidently pursue strategic expansion in India's competitive healthcare market.

Ken Research’s Approach: A Data-Driven Strategy

Ken Research utilized a three-pronged strategy to tackle these challenges and achieve measurable key results:

Secondary Research:

Gathered market intelligence from sources like industry reports, annual filings, and government publications.

  1. Assessed market dynamics and competitor cost structures.

Primary Research:

Engaged C-level executives and mid-level managers through 15 interviews (5 strategic, 10 operational) to understand industry pain points and cost inefficiencies.

Financial Modeling and Forecasting:

  1. Designed a dynamic financial model tailored to the client’s needs, simulating various market conditions.
  2. Developed a sensitivity analysis tool to quantify the impact of external shocks on operating costs and revenue.

Detailed Scope of Work

1. Feasibility Study:

  • Cash flow analysis and ROI modeling revealed potential growth avenues while maintaining financial sustainability.

2. Cost Analysis and Benchmarking:

  • A granular breakdown of cost components identified inefficiencies amounting to 10% of total operational expenses.

3. Predictive Modeling:

  • Scenario-based forecasting tools enabled the group to anticipate a 25% improvement in the predictability of financial outcomes under different market scenarios.

Value Delivered: Results That Matter

By aligning with the OKR framework, Ken Research delivered the following tangible results:

  1. Strategic Clarity: The client’s leadership team gained actionable insights, enhancing financial forecast accuracy by 30%.
  2. Cost Optimization: Reduced variability in operating expenses by 20% through targeted cost management strategies.
  3. Market Readiness: Scenario-based forecasting improved decision-making accuracy by 25%, equipping the client to navigate market uncertainties with confidence.

These measurable outcomes directly contributed to the client’s strategic growth and operational efficiency, validating Ken Research's expertise in solving complex financial challenges.

Conclusion

Ken Research’s focused application of the OKR framework empowered the healthcare group to achieve its financial objectives while navigating a dynamic healthcare market. By delivering a blend of actionable insights and predictive tools, Ken Research ensured that the client could confidently address cost variability and plan for sustainable growth.


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