Kari B. Love

Six industry leaders reveal how to build data agility—and why it’s the key to competitive advantage. Most teams spend 70–90% of their time preparing data—not analyzing it. By the time data is ready for analysis, the market has moved. Opportunities vanish. Competitors act. One company nearly built a $400M facility 550 miles from the optimal location. The cost of that mistake would have been $2 billion over the plant’s lifetime. They caught it with always-on data analytics. Would you? “In uncertainty-driven environments, expanded analytical capacity translates directly to resilience. Organizations that can model more futures make more informed commitments.” Download the white paper to discover: Why data—not talent or technology—is the real bottleneck How leading organizations are building reusable data infrastructure that cuts prep time by 80% What data agility unlocks: faster refreshes that deliver savings now, coverage across every business and region, and the capacity to finally tackle cost-to-serve, risk analysis, and inventory optimization The shift from ad-hoc projects to always-on decision-making capability Featuring insights from veterans of Cargill, Nestlé, McKinsey, and more. DOWNLOAD NOW

Warehouses are not running out of labor. They are running out of labor that can sustain the pace. Manual firefighting, overtime, and constant reassignment push skilled associates to burn out faster than they can be replaced. The result is a cycle of turnover, training, and rising labor costs that slow performance and strain budgets. This whitepaper breaks down the current state of labor in distribution, including turnover trends, overtime risk, burnout dynamics, and the true cost of churn. Click here to download and see how labor forces impact throughput, planning, and workforce strategy today.