FischerJordan Case Studies
Our Case Studies feature FischerJordan clients’ successes through the filter of our 4-step process. See how our proprietary approach consistently solves problems for the companies we work with.
STRATEGY
Projecting Business Volumes and Revenues Using Macroeconomic Data
CASE STUDY – Projecting Business Volumes and Revenues Using Macroeconomic Data ABSTRACT Finance executives at a leading US card issuer sought to gain confidence in their financial projections by understanding their dependencies on underlying macroeconomic drivers. By...
Is the Next Frontier of Rewards Credit Cards Already Here?
In an increasingly saturated market, how can offering a rewards credit card to existing clients remain a viable value proposition?
The Cost of Bad Customer Service (and the need for back-end service recovery)
Bad customer experiences may be smaller and more insidious than large scale public failures, and they’re costing you – but not for the reasons you might think. Find out how a stronger focus on service recovery mechanisms may be more cost-effective than expensive prevention efforts.
No Control Group, No Problem!
There are a variety of business scenarios where it is desirable to simulate the results of a controlled test, but no robust control cell exists. For example, marketing campaigns and other communications are often sent to customers based on their profile, without...
How analytics can prevent disease progression
Type 2 Diabetes is a major health problem in the US. The disease affects ~30 million Americans at an annual cost of ~$250 billion. It is the leading cause of death in the U.S., as well as the leading cause of kidney failure, stroke, heart disease, loss of...
CASE STUDY
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Leveraging cross-functional performance data to optimize marketing investment portfolio
Business leaders at a Fortune 500 Financial Services firm wanted to quantify the value generated by their marketing investments. A multitude of customer interactions across products and marketing channels complicated the problem. Solving it required combining data across a variety of databases and functional areas into a holistic view of customer experience and performance.
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Enhancing margins and growth by optimizing operations utilization and impact
A leading US health services firm was facing pressure to close a P&L gap by significantly reducing in-year expenditures. Their leaders’ goal was to reduce costs while minimizing any adverse business impact. By combining customer service utilization and outcomes data with financial databases, they identified multiple levers for reducing expenses while minimizing impact on client service levels, growth potential, and strategic flexibility.
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A Data-Driven Approach to Fine Tuning Product & Pricing Strategy
A leading US financial services firm sought to validate their hypotheses regarding their competitive advantages and disadvantages in each of three markets. An analysis of the major competitors in each space allowed them to prepare and refine a data-driven strategy to expand their market share.
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What Does Your Real Sales Cycle Look Like?
Executives at a leading US healthcare provider faced unexpected shortfalls and volatility in revenue, in addition to inconsistent forecasting. Sales pipeline metrics indicated a level of robust activity at logical odds with the decline in sales revenue. Examining their sales pipeline in greater detail helped them to understand revenue variations and eventually enabled better forecasting and investment allocation.
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How to Size a Market Using Publicly Available Information
Companies of all sizes and within all industries face a common strategic challenge of understanding their markets and competition better. Leaders at a credit card information system provider wanted to explore growth opportunities within their existing client base. A dearth of existing market studies complicated the problem. Solving it required combining and validating data from an array of public sources.
ANALYTICS
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Driving Revenue Growth by Identifying Untapped Cross-Sell Opportunities
Post-merger, executives at a leading US healthcare firm faced operational, profitability and scalability problems in their sales. Analyzing the bottlenecks in sales pipeline provided insight to an untapped incremental revenue opportunity. Identification of sequential cross-sell opportunities and bundling helped increase client revenue and build customer equity.
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A Top Down Approach to Minimizing Revenue Leakage
Executives at a leading US healthcare firm had anecdotal evidence that they were not realizing the full contractual revenue on many transactions they fulfilled. Identification of the primary causes of revenue leakage not only helped increase revenue realized but also prevent future leakage.
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Managing Business Performance through Driver-based Analysis and Dashboarding
Executives at a leading healthcare firm needed to understand the profitability drivers of their business and optimize them across customer and product segment. Understanding the value generated by each dollar of opex spent, and developing an interactive P&L to help manage them on an ongoing basis, allowed them to convert their opex base into an asset with continuously improving top-line and bottom-line returns.
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Using Data to Develop Models for Long-Term Profitability
Marketing executives at a top US credit card issuer were interested in cross-selling more business products to their >20mm consumer card holders. Based on their research, their penetration rate was at less than 25% of its potential. By employing customer-level analytics across marketing channels, products, and segments, and combining these with a real-time investment optimization engine, we were able to help them drive a 40% lift in customer NPV, $1B in incremental card spending, and a 5% lift in new customers acquired.
CASE STUDY
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Projecting Business Volumes & Revenues Using Macroeconomic Data
Finance executives at a leading US card issuer sought to gain confidence in their financial projections by understanding their dependencies on underlying macroeconomic drivers. By leveraging a range of verified data sources and proprietary indicators, a model was developed to project volumes and revenues for each of their main products, each based upon market specific macroeconomic indicators, with average quarterly errors of less than 10% over 5 years.
TECHNOLOGY
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