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Are your teams producing reports that leaders review — but decisions still happen outside the analytics rhythm? Do meetings include dashboards, but not always sharper trade-offs? Are KPIs being tracked without a clear link to the business questions they are meant to answer? And are you trying to move from reporting activity to real decision intelligence? This is one of the most common gaps in analytics maturity. The dashboards may be well designed. The metrics may be available. The reporting cadence may be regular. But if analytics does not change decisions, it remains a support function rather than a leadership system. Good analytics should help leaders see what is changing. Understand why it matters. Know which choices are available. And decide what needs attention now. The real question is not, “What else should we measure?” The better question is: Which decisions should our analytics system help us make better, faster, and with more confidence? The Analytics-to-Decision Intelligence Sprint is designed for leaders who want to connect business questions, KPIs, dashboards, meeting rhythms, and decision ownership. Across the four sessions, we examine current reporting patterns, executive decision needs, KPI logic, decision cadences, stakeholder usage, and where analytics is being consumed but not acted upon. We look at which dashboards are useful. Which ones create noise. Which decisions lack evidence. Where business teams interpret metrics differently. And how leadership rhythms can be redesigned around the decisions that matter most. You will walk away with a decision-needs map, KPI-to-business-question logic, dashboard prioritization view, meeting rhythm recommendations, and a practical decision intelligence operating model. This is not about building prettier dashboards. It is not about adding more metrics to an already crowded leadership pack. It is about making analytics work harder in the moments where leaders choose direction, allocate resources, manage risk, and act on change. Because analytics becomes strategic only when it improves the decisions the business cannot afford to get wrong.
A decision-needs map identifying the recurring leadership choices analytics must support.
A KPI-to-business-question framework connecting metrics to outcomes, trade-offs, and decision moments.
A dashboard and reporting prioritization view showing what to retain, redesign, retire, or escalate.
A stakeholder usage diagnosis covering how different teams interpret and act on analytics.
A decision intelligence operating rhythm with meeting structures, review cadences, and ownership clarity.
Coaching delivered via live sessions and .
Session Plan • Session 1: Current reporting landscape and decision pain points. • Session 2: Business questions, KPI logic, and executive decision needs. • Session 3: Dashboard usage, stakeholder interpretation, and action gaps. • Session 4: Decision intelligence rhythm and operating model. 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:
Reporting & Insights
Data Visualization
Dashboard Creation
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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.

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.
4h of coaching