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What data and analytics do you use to make restructuring decisions?

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Restructuring is a complex and challenging process that requires careful planning, execution, and monitoring. It involves changing the organizational structure, strategy, operations, and culture of a company to improve its performance, competitiveness, and sustainability. To make effective restructuring decisions, you need to use data and analytics that can help you assess the current situation, identify the risks and opportunities, design the optimal solution, and measure the impact and outcomes. In this article, we will discuss what data and analytics you can use to make restructuring decisions in four key areas: financial, operational, strategic, and human.

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Lance Rubin

Leading expert on data-driven, decision making solutions. I help enable relevant, informed and purposeful business…
Amer Morgan (CIA, CRMA, CFE)

Respected Audit Professional || Distinguished Corporate Instructor & Keynote Speaker || Championing Risk and ESG Audit…

1 Financial data and analytics

Financial data and analytics are essential for restructuring decisions, as they provide you with a clear picture of the company's financial health, performance, and potential. Through analyzing the company's income statement, balance sheet, cash flow statement, and key financial ratios, you can evaluate its profitability, liquidity, solvency, and efficiency. Additionally, financial data and analytics can help you identify the sources and uses of funds, the debt and equity structure, the working capital and capital expenditure needs, and the return on investment and capital employed. Furthermore, you can assess the impact of restructuring on the company's financial position, cash flow generation, debt service capacity, and valuation. Lastly, monitoring the financial results and indicators of the restructuring process is important for seeing cost savings, revenue growth, margin improvement, and earnings per share.

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Lance Rubin

Leading expert on data-driven, decision making solutions. I help enable relevant, informed and purposeful business decisions with modelling and analytics insights ??
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When considering a restructure of a business for a financial perspective you really need to gain insight in the real business drivers. The clear linking of actions impacting drivers will help you make the right decisions that don’t adversely impact the overall value of the business. Long term sustainable profitability and cash flow preservation is critical. By linking and testing the drivers back to the key financial outcomes using analytics and modelling is a sure way to get success.

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Amer Morgan (CIA, CRMA, CFE)

Respected Audit Professional || Distinguished Corporate Instructor & Keynote Speaker || Championing Risk and ESG Audit || Proficient in BCMS, ISO and KPI || Driving Success through Consultancy
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Data-driven decision-making is crucial for effective restructuring. Key data sources include financial statements to identify underperforming units, operational metrics like productivity and customer satisfaction to assess current performance, and employee data such as turnover rates for human capital evaluation. Market trends, customer data like retention rates and NPS, and competitive analysis provide external context. Legal considerations and compliance requirements ensure restructuring aligns with regulations. Employee skills inventories inform future staffing needs, while stakeholder feedback gives qualitative insights. Technology assessments help in digital strategy alignment.

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2 Operational data and analytics

Operational data and analytics are essential for restructuring decisions, as they provide a comprehensive view of the company's processes, activities, and resources. They can be used to assess the company's value chain, core competencies, competitive advantages, and customer segments to identify strengths, weaknesses, opportunities, and threats. Additionally, analytics can be used to analyze operational efficiency, productivity, quality, innovation, and customer satisfaction to pinpoint performance gaps and improvement areas. Moreover, operational data and analytics can help design the optimal operational structure, processes, systems, and policies to streamline workflows, optimize resources, eliminate waste, and increase value creation. Finally, you can measure the outcomes and benefits of the restructuring process such as cycle time reduction, error rate reduction, customer retention, and market share.

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Lance Rubin

Leading expert on data-driven, decision making solutions. I help enable relevant, informed and purposeful business decisions with modelling and analytics insights ??
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The devil is in the detail and this is even more important on operational data. Production and operational decisions can have significant impacts on costs and therefore cash and profitability. Insights on Procure to Pay, On Time in Full (OTIF), Order to Cash (OTC), Gross to Net Margin analysis (GTN) and Activity or Fully Absorbed costing is equally critical for margin analysis and analytics. These key metrics in production and delivery is vital to gain value from operational analytics. Not to mention each of the above split by product, customer, region, division etc.

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3 Strategic data and analytics

Strategic data and analytics are essential for restructuring decisions, providing a broad perspective of the company's environment, vision, and goals. By scanning the external environment to identify opportunities and threats, reviewing the internal environment to evaluate alignment with the external environment, developing optimal strategic direction, positioning, and initiatives to leverage strengths and overcome weaknesses, and tracking the strategic progress of the restructuring process, you can make informed decisions that maximize strategic value.

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4 Human data and analytics

Human data and analytics are essential for restructuring decisions, as they give you a comprehensive understanding of the company's people, culture, and capabilities. For instance, you can use them to assess the human capital of the company and analyze its organizational culture. Additionally, you can use them to design the optimal human resource structure, practices, and programs to align with the company's strategy. Finally, you can monitor the human impact and outcomes of the restructuring process.

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5 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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What data and analytics do you use to make restructuring decisions?

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1 Financial data and analytics

2 Operational data and analytics

3 Strategic data and analytics

4 Human data and analytics

5 Here’s what else to consider

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