Category: Enterprise Strategy

Navigating technological upheaval requires foresight – this insightful guide explores emerging trends like AI, cloud, IoT, and data explosion poised to upend industries, urging executives to experiment and strategize proactively to stay ahead of disruptive forces.

For the third consecutive year, HBR Analytics Services has researched contemporary data use, focusing on its applicability to generative AI. The report—“Scaling Generative AI for Value: Data Leader Agenda for 2025”—spans multiple industries and companies globally. It’s time as conversations have noticeably pivoted from abstract use cases and generative AI pilots to a desire to […]

The Data Hoarding Trap Many organizations are guided by the adage “Knowledge is power.” Teams closely guard their data to maintain an internal competitive edge. But what if this mentality is holding your company back? Imagine your marketing team has gathered valuable data on customer preferences but fails to share that information with your product […]

Digital transformation can offer organizations improved efficiency, enhanced customer experiences, and the ability to stay competitive, but the journey is often fraught with challenges. One key hurdle is motivating employees to embrace new technologies and ways of working. An innovative approach to overcoming these challenges is gamification, a strategy that uses game-like elements to engage […]

The exponential growth of enterprise data presents unprecedented opportunities for innovation, yet many organizations struggle to capitalize on it due to inadequate data governance. A robust governance framework is crucial for future-proofing and maintaining competitiveness. Effective data governance rests on four pillars: Data visibility: Clarify available data assets to inform decision-making. Access control: Balance accessibility […]

Executives must anticipate rapid technology shifts, which increasingly disrupt businesses, and find new markets and partnering opportunities. Accenture’s global disruption index, which quantifies economic, social, geopolitical, climate, consumer and technology changes, indicates disruption occurs at a rate 50 times greater than just five years ago. How can executives stay ahead of the curve? Anticipating Technology […]

Maximize AI’s value without breaking the bank – this guide explores cost-optimization strategies across the AI lifecycle, from model selection and data management to FinOps practices.

For maximum generative AI impact, centralize foundations (infrastructure, data governance) but decentralize innovation across business domains. This hybrid model balances robust AI governance with agile delivery, enabling rapid prototyping aligned with strategic goals.

Leverage AWS to accelerate post-merger IT integration and cost synergies through data center/storage consolidation, database modernization, volume discounts, and simplified procurement.

Unlocking innovation demands aligning talent strategy with organizational aspirations; an oil company’s overlooked compensation model discouraged risk-taking, undermining its transformation goals until leadership revised employee stock rewards.