KCM Insights
KCM Insights
Guides for clearer data, analytics, and AI decisions
Use KCM’s practical guides to make sense of platform choices, plan cleaner data projects, and move from questions to decisions your team can trust.
19 guides shown
Featured Guides
Explore practical guides by platform
Search or filter the guides below to find relevant thinking for the platform, process, or decision in front of your team.
The AI Portfolio Review
Inventory AI initiatives, connect cost to measurable outcomes, and decide what to scale, fix, merge, or stop.
Read the guide
From Power BI Premium to Microsoft Fabric
Confirm the agreement window, inventory the estate, right-size Fabric capacity, protect reporting continuity, and separate required migration from optional modernization.
Read the guide
Databricks Cost Optimization: Control Spend Without Slowing the Business
Map Databricks spend to workloads and owners, separate productive growth from waste, and introduce cost guardrails that protect performance, freshness, and reliability.
Read the guide
Micro-Partitions in Snowflake
See how pruning, predicates, clustering, and search optimization affect real Snowflake workload performance.
Read the guide
Why Your AI Agent and Dashboard Disagree
Learn why AI agents and dashboards return different KPI values, how to reconcile them with evidence, and how to prevent the next dispute.
Read the guide
5 Practical Benefits of Snowflake
See how workload isolation, trusted data products, broader platform use, open lakehouse patterns, and AI-ready governance can create practical business value.
Read the guide
5 Data Modeling Best Practices in Power BI
Build Power BI semantic models around business questions, star schema design, trusted measures, refresh planning, and governance so reporting is easier to trust and scale.
Read the guide
5 Crucial Steps to Build a Successful Data Lakehouse
Build the business case, architecture, governance, observable pipelines, and operating model needed to turn Databricks into a trusted foundation for analytics and AI.
Read the guide
Before You Put an AI Agent Into Production
Pressure-test the purpose, ownership, data, permissions, human oversight, evaluation, and economics behind an AI agent before it acts in a live workflow.
Read the guide
Before Your Data Project Stalls
Clarify the decision, assign ownership, narrow the first release, build governance in early, and measure trusted adoption before delivery stalls.
Read the guide
5 Reasons to Upgrade Your Data Warehouse
Plan a warehouse upgrade around business decisions, trusted data products, access rules, migration sequencing, and cost controls.
Read the guide
5 Best Practices for Building Effective Dashboards
Build dashboards around business decisions, governed data sources, visual clarity, performance, adoption, and AI-ready analytics.
Read the guide
6 Ways to Prepare for the Future of Finance
Modernize planning with governed assumptions, connected scenarios, workflow, adoption, and AI-ready forecasting.
Read the guide
5 Benefits of AI-Powered Business Intelligence
Connect governed BI, certified models, dashboards, AI-assisted reporting, self-service, and adoption around trusted decisions.
Read the guide
5 Reasons to Upgrade Your Chatbot
Turn chatbot experiences into governed assistants connected to trusted knowledge, workflows, handoffs, and measurable outcomes.
Read the guide
5 Steps to Modernize Applications for the Cloud
Modernize with demand visibility, hybrid-cloud optimization, Kubernetes, FinOps, policy-driven automation, and adoption confidence.
Read the guide
5 Simple Steps to Automate Your Data Processes
Turn manual data preparation, blending, validation, and reporting handoffs into governed workflows your team can reuse.
Read the guide
4 Ways to Revamp Your Data Integration
Improve integration patterns, data quality, pipeline reliability, ownership, and trusted data delivery for analytics and AI.
Read the guide
5 Simple Steps to Modernize Budgeting
Modernize budgeting with connected FP&A, Excel-native planning, workflow, reporting, adoption, and AI-ready finance data.
Read the guide
Need help applying this to your team?
KCM helps organizations turn data, analytics, planning, and AI ideas into systems people can trust and use.