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Description
Do you have dashboards, reports, and analytics activity — but still feel that decisions are not becoming sharper? Are business teams asking for more data, while leaders are still unclear which numbers to trust? Do you have AI ambition, but worry that the data foundation is not yet ready to support it? And are you trying to move the conversation from “we need better dashboards” to “we need better decision intelligence”? This is a familiar challenge for CIOs, CTOs, transformation leaders, founders, and business heads. The data may exist. The dashboards may exist. The analytics team may be working hard. But value does not come from data availability alone. It comes from clearer business questions. Cleaner ownership. Trusted definitions. Better decision rhythms. And a practical link between analytics, governance, and AI readiness. The real question is not, “Do we have enough data?” The better question is: How do we turn our data and analytics capability into better decisions, stronger governance, and a credible AI foundation? The Data, Analytics & AI Enablement Roadmap is designed for leaders who have data, dashboards, or analytics teams, but are not yet turning them into decision advantage. Across the six sessions, we review data maturity, analytics usage, decision flows, governance gaps, reporting pain points, AI readiness, and the path from dashboards to decision intelligence. We look at where reporting is useful. Where it is performative. Where ownership is unclear. Where business questions are not being translated into KPI logic. And where AI use cases may fail because the operating foundation is not yet strong enough. You will walk away with a data and analytics maturity diagnosis, a governance and accountability gap map, an analytics-to-decision framework, an AI-readiness assessment, and a prioritized enablement roadmap. This is not about producing more reports. JRDN Advisory · AI for Data & Analytics Packages 2 It is not about chasing AI before the fundamentals are ready. It is about building the clarity, trust, rhythm, and ownership needed for data to become a leadership asset. Because the next stage of analytics maturity does not come from more dashboards. It comes when data changes the quality, speed, and confidence of the decisions leaders make.
What you'll get from this package
A data and analytics maturity diagnosis covering dashboards, decision usage, ownership, quality, and trust.
A governance and accountability gap map showing where unclear ownership is weakening analytics value.
An analytics-to-decision framework that links KPIs, business questions, and decision rhythms.
An AI-readiness assessment for data teams, including use-case fit, quality risks, and operating implications.
A prioritized enablement roadmap with sequencing, quick wins, stakeholder narrative, and executive recommendations.
Additional details
Coaching delivered via live sessions and .
• Session 1: Current data and analytics landscape. • Session 2: Business questions, KPI logic, and decision needs. • Session 3: Governance, ownership, quality, and trust gaps. • Session 4: Analytics operating model and stakeholder usage. • Session 5: AI readiness and use-case prioritization. • Session 6: Roadmap, sequencing, and executive narrative. How I work with clients I work with clients by starting with clarity, not assumptions. Whether the challenge is a career transition, a leadership inflection point, a technology decision, or an organizational transformation, my first task is to understand what is really going on beneath the surface. Often, the visible issue is only a symptom. The real constraint may be unclear priorities, weak alignment, outdated operating rhythms, gaps in leadership identity, or decisions that have not yet been made with enough precision. My approach combines structured inquiry, real-world executive experience, and practical strategy. I do not believe in generic frameworks, motivational advice, or one-size-fits-all playbooks. Each engagement is shaped around the client’s context, goals, constraints, and stage of growth. Together, we diagnose the real pattern, challenge assumptions, surface blind spots, and translate insight into action. For individuals, that may mean strengthening leadership presence, reframing career value, or navigating the shift from technical expertise to strategic influence. For organizations, it may mean aligning leadership, clarifying decision rights, strengthening operating models, or turning transformation intent into executable movement. The work is both rigorous and human. There is strategic structure, but also space for reflection, identity shifts, trust-building, and the deeper leadership work required for lasting change. The goal is not just to create a plan. The goal is to help clients see clearly, decide wisely, and move forward with confidence.
- Preparation: Clients are expected to share relevant context, documents, role descriptions, profiles, business material, or questions at least 24 hours before the session where applicable. For diagnostic-led packages, the client should complete the relevant JRDN diagnostic before the first session and share the result or key observations. - Confidentiality: All coaching and advisory conversations are confidential, except where disclosure is required by law or platform policy. - Scope: Coaching and advisory recommendations are strategic and developmental in nature. They do not constitute legal, financial, therapeutic, tax, or investment advice. - No guaranteed outcomes: Career moves, promotions, job offers, funding, business growth, AI adoption, transformation outcomes, partner-tier movement, or executive buy-in cannot be guaranteed. The work creates clarity, readiness, positioning, and practical next steps. - Deliverables: Packages include live sessions, light notes, and agreed action points. Detailed written reports, implementation documents, architecture designs, offsite facilitation, or extended document reviews are outside scope unless separately agreed. - Client responsibility: The client is responsible for acting on recommendations, completing reflection work, and making final career or business decisions. - Platform terms: Leland's own cancellation, payment, refund, and platform policies apply in addition to these package terms.
Services included:
AI Automation
Predictive Analytics
Natural Language Querying
Reporting & Insights
Data Cleaning & Prep
Data Visualization
Dashboard Creation
Data Strategy
Talk to a team member
Schedule a call with a Leland team member who can help you explore your options.
Schedule a call
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Nirmalya also coaches for Career Coaching, Leadership Coaching, Management Consulting, Business Analytics & Intelligence, Customer Success, Project Management, Business Operations & Strategy, and AI Services. View all.
Offered by Nirmalya M.
Joined January 2026
5.0
Transform Data with AI | Ex-AWS Leader in Cloud & Analytics
I led cloud, data, and analytics work at AWS, the engine room where AI actually gets built and put to use. I understand both the technical reality and the business expectations sitting on top of it, and the tension professionals in this field live with between the two. If you work in data and AI, I can help you connect your technical depth to the outcomes leaders care about, decide where to specialize as the field moves quickly, and step into leadership without leaving the substance behind. I won't be teaching you the tools you already know. My focus is the judgment, communication, and career strategy that turn strong data and AI skills into senior influence, backed by real cloud and analytics leadership and ICF-ACC coaching craft.
$900
6h of coaching