Make it stand out.
Our Mission
To empower small- and medium-sized businesses to achieve competitive performance through the application of targeted analytics and AI decision-support solutions.
What we do for our Clients
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Discovery & Current State Assessment
To understand the organization's physical infrastructure, data landscape, and cultural readiness.
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Opportunity Identification & Prioritization
To pinpoint high-impact areas where analytics and AI can drive measurable business value.
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Solution Design & Roadmap Recommendation
Recommend fit-for-purpose analytics and AI solutions with a phased implementation plan.
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Implementation Support & Change Enablement
Ensure successful deployment, adoption, and value realization.
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Tasks
Stakeholder Interviews & Surveys: Gauge leadership vision, data literacy, and openness to change.
Data & Infrastructure Audit: Inventory of data sources, tools (e.g., Excel, ERP systems, etc.), and integration points.
Process Mapping: Identify how decisions are currently made and where data is (or isn’t) used.
Analytics Maturity Assessment: Use a model to benchmark current capabilities.
Deliverables:
Current state report (tech, people, process)
Data and culture readiness
Maturity level scorecard
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Tasks
Pain Point Analysis: Where are decisions slow, inconsistent, or intuition-based?
Value Mapping: Align analytics opportunities with business KPIs (e.g., customer retention, inventory turnover).
Quick Wins vs Strategic Bets: Classify use cases by complexity and ROI potential.
AI Readiness Check: Identify where AI (e.g., forecasting, NLP, classification) is feasible and beneficial.
Deliverables:
Prioritized use case portfolio
Business case for top 3–5 initiatives
AI feasibility matrix
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Tasks
Tool & Platform Selection: Recommend tools (e.g., Zoho Analytics, Power BI, Python-based solutions) based on budget and scalability.
Data Architecture Blueprint: Define how data will flow, be stored, and accessed.
Governance & Roles: Propose data stewardship, ownership, and access policies.
Roadmap Development: Create a 6–18 month roadmap with milestones, dependencies, and resource needs.
Deliverables:
Solution architecture
Tool/platform recommendation
Implementation roadmap with timelines
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Tasks
Pilot Execution: Launch a proof-of-concept or pilot in a high-impact area.
Training & Enablement: Upskill staff on tools, dashboards, and data interpretation.
Change Management: Use frameworks to drive adoption.
Performance Tracking: Set up KPIs to monitor impact and iterate.
Deliverables:
Pilot results and lessons learned
Training materials and adoption metrics
Ongoing support plan or handoff strategy
Strategic Insights & AI Consulting
We use data-driven insights and intelligent analytic systems to empower small and medium-sized businesses with the right strategies to achieve scalable and competitive performance.
Other Services
Data & AI Strategy
Predictive modelling and intelligent data automation.
Dashboard Design & Insights Activation
Transform raw data into actionable insights.
Training & Enablement
Empower your team with tools, workflows, and best practices in data-driven decision making.
Who we are
Founded by Dr. Dhananjayan (Dhan) Kashyap, Mindware Analytics is a boutique consulting practice focused on empowering small and mid-sized businesses through data-driven strategy and AI integration for competitive performance. With over 30 years of leadership in consumer insights and market intelligence across Fortune 500s—including Humana, Diageo, and Unilever—Dhan brings a rare blend of strategic vision and technical fluency. His academic credentials include a Doctor of Business Administration (DBA) in Analytics, an MS in Business Analytics, and a current pursuit of an MS in Artificial Intelligence, complemented by advanced certifications from Harvard and Coursera. Mindware Analytics is built on the belief that intelligent systems and thoughtful design can unlock scalable, competitive growth for every business.
Contact us
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