The most meaningful insights come from real-world experience. Each example below outlines the challenge faced, the approach taken, and the measurable results achieved.
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Start a ConversationDIG worked with a global appliance manufacturer to unify their fragmented customer and marketing data to eliminate silos and improve campaign visibility. By enabling more dynamic, customer-centric marketing and real-time behavioral response, the organization increased warranty attach rates by 20% and generated $40M in incremental revenue within one year.
A global appliance manufacturer was missing revenue targets for aftermarket warranty sales. Leadership suspected that inefficient, fragmented marketing processes were limiting performance, but lacked the visibility needed to identify and fix the root causes.
Customer data moved through multiple vendors operating in silos, creating complexity, limited transparency, and a rigid, product-centric marketing approach. As a result, the organization struggled to coordinate campaigns, adapt messaging, and fully capitalize on customer behavior and engagement signals.
Data Intelligence Group unified and integrated disparate customer and marketing data sources to create a centralized, auditable view of the full marketing process. This enabled greater visibility into performance and allowed the team to move beyond linear, one-size-fits-all campaigns.
DIG implemented a more dynamic, customer-centric marketing framework that supported both proactive, predictive outreach and rapid, behavior-based response to customer interactions. Messaging was optimized at the individual and household level, allowing offers and creative to adjust based on customer context, product ownership, and engagement.
DIG worked with an appliance manufacturer to automate and streamline extended service plan claims processing, reducing manual effort and improving visibility across the claims lifecycle. The new approach cut reimbursement timelines from 22 days to 3.5 days, reduced errors by 15%, and enabled the reallocation of six FTEs to higher-value business activities.
An appliance manufacturer was processing approximately 75,000 extended service plan claims per year and experiencing frequent delays and errors in reimbursements from its underwriter. The existing claims process required significant manual effort, involving eight full-time employees and managing approximately $1.2M in claims volume per month.
The complexity of managing extensive terms and conditions, thousands of parts, along with a manual communication and tracking process created operational inefficiencies. These challenges led to missed service-level commitments, increased errors, and limited visibility into claims status and performance.
Data Intelligence Group designed and implemented an automated claims processing and communication framework to streamline the end-to-end claims workflow. The solution enabled intelligent logging, interpretation, and processing of both approved and denied claims, significantly reducing manual handling.
DIG also implemented enhanced tracking and monitoring capabilities to improve visibility into response times, rule application, exception handling, and payment processing. This created a more transparent, auditable process supported by performance metrics and operational oversight.
DIG helped a top underwriter unify siloed marketing, contract, claims, and interaction data to create a secure, consolidated customer view. The new approach reduced legal and compliance data request times from days to under seven minutes, enabling faster, controlled access across departments and improving response to time-sensitive inquiries.
A top underwriter managing $8.7B in premiums needed a faster, more reliable way to respond to customer and legal complaints related to the use of marketing, contract, claims, and payment data. Critical information was spread across multiple siloed systems, making it difficult to quickly assemble a complete, accurate view of a customer's history.
With billions of data points connected by different identifiers, the organization lacked a unified way to link and access relevant data. Multiple departments also needed controlled access, each with different systems, permissions, and communication protocols — creating additional complexity and risk in time-sensitive legal and compliance situations.
Data Intelligence Group integrated and unified marketing, contract, claims, call center, and other disconnected data sources into a consolidated environment. DIG implemented a unique identity resolution and key management framework to reliably link records across systems and create a unified customer view.
To support fast, controlled access across departments, DIG implemented a secure, automated request and delivery process. This allowed approved users to request information through a simple, tightly governed workflow, while maintaining strict controls over what data could be accessed and shared.
DIG partnered with a telecommunication services organization to implement a centralized, compliant communication and tracking process across mail and email. The new approach provided automated proof of contact and on-demand access to communication history, reducing complaint resolution times, customer confusion, and legal workload.
A telecommunication services organization was required to send legally mandated customer notifications across multiple scenarios. While the existing process met regulatory requirements, it was slow and lacked a reliable method for confirming and documenting historical and recent customer contact — which could have been sourced through multiple production partners.
In addition, legal, customer service, and call center teams did not have rapid access to specific communications on demand. This limited their ability to quickly resolve customer inquiries, support legal review, and confidently verify that required communications had been delivered.
Data Intelligence Group designed and implemented a compliant, centralized communication and tracking framework across both mail and email channels. DIG supported the generation, delivery, and systematic tracking of customer communications, along with the storage of detailed metadata and creative records for each message.
This approach created a verifiable audit trail, enabling teams to quickly retrieve proof of delivery and access exact copies of communications when needed for legal, compliance, or customer support purposes.
DIG helped organizations recover lost marketing leads by correcting and enriching incomplete customer and product data and supplementing with targeted consumer engagement. The approach converted nearly 30% of lost leads into marketable opportunities, generating $2M+ in incremental revenue and expanding overall lead volume.
Several organizations were losing a significant portion of potential marketing leads due to incomplete or inaccurate customer and product data. Missing critical data elements such as purchase details, contact information, and product identifiers prevented offers from being properly assigned and activated.
As a result, clients were losing an estimated 10% to 40% of potential leads, representing millions of dollars in missed revenue opportunities.
Data Intelligence Group implemented a multi-layered data recovery and activation strategy to maximize lead usability and revenue potential.
First, DIG applied advanced data cleansing, enhancement, and intelligent correction techniques to repair and enrich existing records. This included improving customer identity, contact data, and product information to enable accurate offer matching and targeting.
For records that could not be fully corrected through data processes alone, DIG implemented targeted, direct-to-consumer engagement strategies to collect missing information and requalify leads. This two-tiered approach ensured that both data-driven and customer-driven recovery methods were used to maximize lead rescue.
DIG worked with a global manufacturer to identify and activate sales opportunities from both traditional and non-traditional data sources. By enabling rapid response to customer behaviors and operational signals, the organization uncovered new revenue streams and converted previously overlooked interactions into incremental sales.
A global appliance and electronics manufacturer was missing potential revenue opportunities across both traditional sales channels and non-sales operational data sources. While customers were interacting with the brand in meaningful ways, many of these behaviors were not being leveraged to identify and activate timely sales opportunities.
As a result, valuable signals — from abandoned transactions to operational and service interactions — were underutilized, limiting the organization's ability to convert engagement into incremental revenue.
Data Intelligence Group analyzed business processes and data flows across both sales and operational systems to identify high-value customer signals. DIG designed and implemented dynamic, rapid-response marketing campaigns to act on these signals within a 0–24 hour window.
This approach enabled the organization to activate both traditional sales triggers (such as abandoned carts and quote follow-ups) and non-traditional operational signals, including service activity, product usage, and other behavioral indicators that suggested purchase intent or cross-sell opportunities.
Reduced duplicate coverage sales by 95% while improving compliance, customer clarity, and satisfaction through centralized conflict detection and coordinated marketing.
A large enterprise client marketed multiple coverage products across different underwriters and product lines. As a result, some customers unintentionally purchased overlapping or duplicate coverages. This created poor customer experiences, increased service costs, and introduced compliance and regulatory risk. The client needed to maintain multiple product offerings while improving clarity, reducing duplication, and ensuring compliance.
DIG was established as a centralized marketing and sales clearinghouse to identify and resolve coverage conflicts in real time. Our process automatically flags potential duplicate coverage scenarios and initiates customer communications to present clear options for resolution. In parallel, DIG unified marketing efforts across providers into a coordinated, monitored outreach schedule, reducing overlap, improving message clarity, and ensuring consistent customer communication.
These outcomes represent what's possible when data strategy, analytics, and execution work together. If you're facing similar challenges or looking to unlock new value from your data, let's talk.
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