Projects

Policies are often written in silos, inconsistently applied, slow to update, and disconnected from business processes. This leads to compliance risk, operational inefficiency, and a lack of trust in governance.

Foodborne illness and supply chain disruptions pose risks not just for companies, but for consumers, regulators, and the entire food ecosystem. The Food Saftey Modernization Act was designed to address these gaps, yet many organizations lacked the systems and processes to comply effectively.

Many insurance organizations struggle to capture maximum revenue from renewals due to inefficient processes, friction in workflows, and poor customer experience.

A lack of data isn’t the biggest barrier to retail intelligence, it’s the governance needed to trust, activate, and scale it across every shelf and channel. The demand for trusted, accessible data across the retail value chain is outpacing traditional governance systems, creating a major barrier to scalable insights and execution. Sam’s Data Club emerged as a unified, enterprise-grade solution—integrating policy, process, and platform to deliver data clarity and control from supplier to shelf.

At the enterprise level, managing data entry and ensuring data accuracy at scale presents a significant challenge, often leading to high costs and inefficiencies.

Disconnected systems and manual workflows turned every contract into a bottleneck—slowing revenue, straining compliance, and frustrating clients. The Company reimagined its contract lifecycle to turn lag into leverage.

The real challenge for retailers isn’t having inventory—it’s managing channel complexity and rising member expectations by knowing, in real time, what’s available and where, so every member can shop with confidence across every touchpoint.

Managing vendor proposals and repair work orders manually in a high-volume environment leads to delays, inefficiencies, and missed cost-saving opportunities.

Insurance companies often struggle with inefficient, paper-based processes that lead to long cycle times, missed opportunities, and poor coordination, hindering overall business performance.

Many call centers face operational inefficiencies, including high abandonment rates, employee attrition, and low customer satisfaction, all of which hinder overall service performance and increase costs.

Without a structured approach to managing data governance roles, organizations face gaps in accountability, operational inefficiencies, and delays in decision-making.

Financial institutions often face revenue losses due to inefficiencies in loan application processes, including low approval rates and poor conversion of approved applicants.

The real challenge in customer support isn’t just answering calls—it’s addressing the cyclical burden of password resets, which account for an average of 13% of inquiries and surge as high as 20%. This demand consumes valuable capacity and signals friction in a process that should be simple and self-directed.

Managing vast amounts of technical data without adequate metadata descriptions is a significant barrier to efficiency, requiring extensive resources to validate and utilize data effectively.