Scaling AI, data and analytics is hard, John Hogue has over a decade of in-depth experience leading organizations to become more data-driven. From multi-billion dollar enterprises to pre-seed startups, John has the expertise to advise C-Suite and Senior Leaders on data and analytics priorities, organization, operating model and change management.
Strategy goes beyond a polished PowerPoint; it’s about aligning people and processes to achieve tangible outcomes.
Common Challenges Leaders Face
AI, Data & Analytics Strategy:
- Unclear path to AI readiness and difficulty identifying high-impact AI use cases.
- Challenge articulating current and aspirational skillsets and capabilities needed to drive innovation.
- HiPPO or Peanut Butter prioritization of data-driven initiatives resulting in stalled progress.
Learn more about how Rogue Hogue can help.
- Inventory business pain points with PNL leaders, mapping them to use cases.
- Identify skill and capability gaps to meeting both short and long term enterprise goals.
- Coach and adapt CRUISE prioritization framework to organization.
Cost Management & Optimization:
- Difficulty evaluating the impact of cloud investments, costs and their drivers.
- Cost allocation methodologies incentivizing poor design decisions.
- Challenges assessing data compatibility and integration during mergers.
Learn more about how Rogue Hogue can help.
- Establish key metrics to monitor cloud spending and performance
- Implement cost transparency and chargeback models aligning investments with strategic priorities
- Assess potential M&A opportunities’ tech stack for synergies and challenges.
Data Governance & Literacy & Maturity:
- Undefined data roles and processes causing accountability and governance failures.
- Inability to find, trust and connect data leading to low utilization.
- Struggling to implement data-driven decision-making processes across enterprise.
- Poor data understanding of available data and its impact on KPIs.
Learn more about how Rogue Hogue can help.
- Establish data governance frameworks defining roles, responsibilities and process.
- Evaluate enterprise data utilization and identify obstacles.
- Develop change management strategy, including pilots to roll out data-centric decisioning.
- Assess and improve data literacy across the organization.
Change Management & Organizational Transformation:
- Limited understanding and expertise around AI, data and analytics, leading to uncertainty about how to get started.
- Difficulty identifying and integrating emerging technologies, resulting in patchwork architecture and operating model.
Learn more about how Rogue Hogue can help.
- Provide leadership coaching on AI, data and analytics.
- Conduct organizational assessments to identify barriers to change.
- Benchmark and assess current and future needs of tech and how it fits into current architecture landscape.
Contact
john@roguehogue.com
linkedin.com/johnhogue/
