Case studies

Client case studies

Smarter insights and stronger outcomes powered by data analytics, artificial intelligence, and automation

What happens when smarter insights lead to stronger outcomes? Organizations get ahead and stay ahead of the curve. That's exactly how we help many of the world's leading organizations. Read how these clients got there with Deloitte Analytics.


Proactive insights in truck manufacturing case study

Daimler Trucks Asia client spotlight
From harnessing the power of data to embracing the Internet of Things, Daimler Trucks Asia positions itself with an eye toward the future.

Global conglomerate uncovers $36 million in IT savings

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Over the years, this global conglomerate's technology infrastructure had morphed into a complex web of disparate systems. IT leadership required a more cost-efficient infrastructure, but first they needed to understand how the company's organizations were using technology services.

Deloitte helped the company consolidate data from across the enterprise and developed an analytics solution to evaluate how IT services were being used. Using tableau visualization dashboards connected to real-time data, decision makers were empowered to measure, analyze, and optimize IT spend across individual business units, regions, and countries—uncovering more than $36 million in cost-savings opportunities. And this is just the beginning; the company continues to work with Deloitte to help deliver analytics value to other areas of the organization.

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Deloitte enabled the identification of more than $36 million in cost reduction opportunities.

Smarter pricing generates $25 million in annual revenue

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A multibillion-dollar global food ingredients company needed to make better-informed pricing decisions. Their account managers made quotes solely on gut feeling and personal experience, without support from competitive information or analytic insights to improve their customer negotiations.

The company implemented Deloitte's analytics pricing solution that generated price targets at the customer and product levels and delivered quantitative insights that account managers used to communicate the value of their products and services to customers. The solution also enabled "what–if" scenario planning to improve negotiations and profits.

The company's new pricing and promotions framework generated a two percent increase in annual revenues.

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Major bank identifies $20 million in new revenue

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A major bank had a big problem: hundreds of thousands of contracts with different terms, rates, and formats all were being invoiced through one department. Even with additional people and new systems, they could not efficiently check for inconsistencies between contracts and invoices at that massive scale. This meant the bank could lose revenue from under billing or damage their reputation from over billing.

Deloitte automated the billing process using self-learning and cognitive technologies that could compare the large number of contracts and invoices at great speed and with high accuracy. The solution synthesized natural language text, extracting millions of line items with 100 percent improvement in accuracy and identifying $20 million in potential new-found revenues.

With cognitive automation, the bank could quickly address inconsistencies, leading to higher profitability and lowered risk. The bank exponentially compounded the value created by replicating the solution in other parts of the business.

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New Mexico set to save citizens millions in taxes

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Where do state governments face serious risk for incurring oversized benefit payments? If you guessed identity theft and criminal activity, think again. While those activities are certainly costly, they are relatively rare compared to the more frequent small errors that happen when citizens apply for benefits, ultimately leading to improper payments by the state.

In New Mexico, only about half of the improper payments are ever identified, and, of those, less than half are recovered. To take on this issue, Deloitte helped the New Mexico Department of Workforce Solutions use insights from data and behavioral science to nudge individuals to behave more accurately and consistently. The key? Improving design communications and notifications for claimants in key moments, such as when individuals report work and earnings to determine eligibility.

In these moments, we tested several behavioral nudges:

  • A pop-up message on the screen
  • A personal attestation or certification box
  • Clearer, simpler wording

The solution substantially influenced the behavior of claimants, increasing accurate reporting while also reducing improper payments—without generating additional staff work. New Mexico is on track to save their citizens millions each year.

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Analytics allows insurance leader to reduce customer acquisition from weeks to hours

In the insurance industry, winning is all about finding and keeping good customers. But that can be costly, especially when growth is a top priority—bolder marketing and customer acquisition levels can send expenses into the stratosphere. That's one key reason why this insurance leader tapped into the power of analytics.

Using analytics, this insurer was able to zero in on target populations and micro–segments with a whole new level of precision. That meant they could deliver tailored messages to the right audience in the right moment—while at the same time reducing costs. Analytics insights also revealed that the company could increase its return on customer acquisition investments by focusing marketing efforts on a smaller target population. The outcome? The ability to reduce new customer acquisition cycle time from a few weeks to just a few hours. Plus, it now had the ability to identify which new customer opportunities to nurture.

Next, the insurance giant is laying the groundwork to embed analytics into every function around the globe, creating a truly insight-driven organization. Having demonstrating stronger outcomes around marketing and workforce challenges, the company expects analytics to consistently drive value in the areas of its biggest spends.

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Blockchain heats up life sciences

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Biotech firm pilots blockchain to monitor real-time product temperature changes

Within health care’s challenging regulatory environment, leaders need more transparent, yet secure and trustworthy, data exchange amongst external partners within the health care ecosystem to deliver value-driven, health care innovation. Executives at one of the world’s largest independent biotechnology companies sought to investigate the application of blockchain, a data repository that’s ironclad safe, to achieve this objective. One focus area they sought to address was supply chain.

For certain drugs, maintaining a consistent temperature is critical to their effectiveness. The company chose to apply blockchain with a specific assignment: tracking, monitoring, and logging product temperature. Product sensors could deliver real-time temperature measurements at each stage in the process and stakeholders would be able to securely exchange data and access stored records they could trust at every step, from the manufacturer to the distributor to the pharmacy.

By thinking big, but starting with small, controllable tasks like tracking product temperature, the company capitalizes on the opportunity of the new technology, while reducing risk. The project revealed that blockchain would be an innovative approach towards securing data exchange among partners: it improves transparency, ensures product quality, and creates a faster path for tracking temperature. Piloting the concept is the next step to prove that the approach can drive significant value.

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Read our latest insights and learn more about our services for biopharma companies.

National Institute of Allergy and Infectious Diseases (NIAID) seeks to improve outcomes for drug resistant tuberculosis

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Analytics used to generate hypotheses and shape direction of research efforts

According to the World Health Organization, approximately 480,000 individuals developed Multiple and Extensively Drug Resistant Tuberculosis (M/XDR-TB) in 2015, with only about half recovering. The development of hypotheses to inform treatment options and potential clinical trials require the consideration of numerous data sources, including clinical and socioeconomic data about the patient, radiological images, such as X-rays and CT-scans, and bacterial genomic data.

NIAID, part of the National Institutes of Health, recognized the opportunity to create a curated, de-identified data exploration portal that integrates data from each of these sources, and makes it available to researchers and clinicians. Now, patient socioeconomic, clinical, radiological, and bacterial genomic information can be readily displayed and analyzed to facilitate hypothesis generation and testing aimed at improving M/XDR-TB patient diagnostics and cure rates.

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Learn how analytics can help you get to smarter insights in the health care industry.

A significant step forward in the areas of health care analytics and collaborative research platforms.

Algorithmic selling takes off

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Faster, granular, connected…local in-store insights fuel growth

A global food and beverage giant recognized the opportunity for a new, more effective sales approach to help retailers move more of its products off the shelves on a store-by-store basis. For years, consumer product manufacturers had relied on national planning of trade tactics with light audit procedures to ensure proper merchandising and execution. Instead, the company wanted to pursue a novel approach that pushes win-win sales opportunities tailored for each and every store.

The company's recipe blended big data, data science, and digital technology to identify hyper-localized sales opportunities. These opportunities were shared with local sales teams through intuitive user experiences on tablets, which improved mobility and adoption. The innovative solution is an algorithmic way of selling that helps take away the guesswork, is more granular, and far less time-intensive to prepare. Results indicate that this locally-focused, fact-based strategy is highly effective at driving incremental sales. It's a primary example of the adage "think global, act local" as selling gets instantly store-specific.

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Learn how insight advantage can help in consumer and industrial products industry.

By arming its sales force with tailored assignments and recommendations for local stores, a leading global food and beverage company is winning with retail.

Global insurer embraces advanced analytics to improve predictability and service

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The insurance industry’s very existence depends on actuaries’ abilities to make smart decisions based on data. Today, though, through ever-increasing amounts of information and the technologies that both gather and analyze it—sensing devices, fitness trackers, and artificial intelligence—insurers can gain deeper insights into its consumers’ lifestyles, companies’ risks, and other information. These insights can be used to predict losses, price products, educate consumers, and even build new insurance products based on consumers’ changing interests.

That’s why one of the world’s largest providers of insurance solutions asked Deloitte to help it use analytics so it could look again, dive deeper, and extrapolate unique insights from data generated across the 170 countries where it serves its customers. Deloitte pulled together a team of professionals from Switzerland, the United Kingdom, the United States, and India to help the insurer build an enterprise-wide data analytics function. Deloitte also demonstrated the capabilities of its US and UK Deloitte Greenhouse™ analytics labs. As a result, the client has started to adopt the innovation and visualization of the Deloitte Greenhouse labs.

While the multiyear effort is in its early stages, the client’s biggest business units are pulling analytics-driven insights—providing opportunities to improve pricing, cross-sell products effectively, and achieve cost control through claims and underwriting management.

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Major travel and leisure company uses analytics to drive customer acquisition

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A major travel and leisure company was looking for ways to maximize its acquisition of co-branded credit card customers, and the old strategy of “carpet bombing” prospects with a daily email was leading to low yields and high opt-outs.

We used analytics techniques to identify customers most likely to accept offers, using a mix of both internal and external data. We also created machine learning algorithms to predict offer acceptance rates by segment, going on to prioritize media usage, messages, frequency, and timing. The result? Improved acquisition efficiency for direct mail by 4x for top deciles.

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Major federal agency finds a new way to analyze critical health data sets—fast

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In driving drug discovery and development, a federal health agency required the ability to analyze disparate, complex data sets from around the world. From this arduous task rose the question, what if the agency could find a more efficient and effective way to analyze all that public and private data?

Using SEMOSS, an open-source data federation and analytics tool, as well as cognitive capabilities, we helped the agency integrate disparate data types into a single analytics platform. Today, this platform allows researchers to access data and collaborate with a host of partners to accelerate scientific discovery. With SEMOSS, what once took four hours to accomplish now takes four minutes.

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