Executive Summary and Main Points
Anaplan CEO Charlie Gottdiener discusses the evolution of “connected planning” to “enterprise connectedness” which greatly accelerates decision-making in a business. The concept involves integrating vertical, horizontal, and external connections within a company to enhance decision excellence and overall performance. Anaplan’s platform enables dynamic scenario planning which, coupled with generative AI (gen AI), could significantly bolster insights and efficiency. Their internal model—Anaplan on Anaplan—illustrates the practical application of their connected enterprise and execution discipline. Moving forward, Anaplan emphasizes industry-specific solutions, AI-enhanced natural language access, predictive insights, and model-building efficiency.
Potential Impact in the Education Sector
The sector could see transformative effects from Anaplan’s integrated planning platform and gen AI. Connected planning could streamline decision-making in Further and Higher Education, integrating academic departments, administration, and external partners. The technology could also support dynamic adjustments in curriculum planning and resource allocation. Moreover, the approach to connectedness may drive innovation and enhance the strategic value of Micro-credentials by aligning them with industry needs in real-time, fostering strategic educational and corporate partnerships.
Potential Applicability in the Education Sector
Anaplan’s approach can be adapted for academic institutions to optimize operational functionality and curriculum development. The integration of AI could advance personalized learning, predictive analytics for student success, and agile responses to changing educational landscapes. This tech-driven strategizing aligns with the international focus on digitalization and education quality. Moreover, the ethos of a connected enterprise can underpin the systematic collaboration between universities worldwide.
Criticism and Potential Shortfalls
Despite its prowess, Anaplan’s model could face scrutiny concerning data privacy, particularly among stakeholders in the education sector. Comparatively, some international educational systems may lack the infrastructure for such a deep technological integration. Potential cultural implications include resistance to tech-led decision-making in regions where traditional educational frameworks prevail. Ethically, there could be concerns over AI’s role in autonomous decision-making, where personal nuances are highly valued.
Actionable Recommendations
For educational leaders, establishing robust digital infrastructure is foundational. Research on the applicability of Anaplan-like models tailored to education should be encouraged, with pilots initiated for integrated planning across university functions. Training for staff in interpreting AI-driven analytics is also recommended. Finally, forming ethical guidelines on the use of AI in education will help anticipate and address potential cultural and privacy concerns, fostering responsible adoption of such transformative technologies.
Source article: https://www.mckinsey.com/industries/technology-media-and-telecommunications/our-insights/anaplan-ceo-how-decision-excellence-drives-enterprise-performance