Resources

Insights on Supply Chain,
Kinaxis & Databricks

Practical guides, lessons from the field, and perspectives from our consultants on Kinaxis Maestro delivery, supply chain planning, and modern data platforms.

Why Pharma Supply Chains Are Breaking And How Concurrent Planning Fixes It
Kinaxis

Why Pharma Supply Chains Are Breaking And How Concurrent Planning Fixes It

The pharmaceutical supply chain operates under pressures most industries never face: regulatory scrutiny at every node, life-or-death consequences for stockouts, and extreme complexity.

By TarunKumar KondapalliRead
Kinaxis Maestro: 5 Game-Changing Tactics for Supply Chains
Kinaxis

Kinaxis Maestro: 5 Game-Changing Tactics for Supply Chains

Your platform went live, dashboards look sharp — but forecast accuracy hasn't moved and planners are still on spreadsheets. Here's how to actually unlock Maestro's value.

By TarunKumar KondapalliRead
The Quiet Collapse: Why Kinaxis Fails After Go-Live
Kinaxis

The Quiet Collapse: Why Kinaxis Fails After Go-Live

Most enterprise technology failures are dramatic and obvious. Kinaxis failures are different — they're quiet, gradual, and easy to miss until it's too late.

By TarunKumar KondapalliRead
5 Powerful AI Supply Chain Wins Kinaxis and Databricks
Databricks

5 Powerful AI Supply Chain Wins Kinaxis and Databricks

How Kinaxis Maestro and the Databricks Data Intelligence Platform are transforming demand forecasting, inventory optimization, and supplier risk management together.

By TarunKumar KondapalliRead
Kinaxis Maestro: Powerful ROI You Can Measure
Kinaxis

Kinaxis Maestro: Powerful ROI You Can Measure

Key stats at a glance: 35% average reduction in planning cycle time and $4.2M typical first-year savings for mid-market manufacturers. Here's how it's measured.

By TarunKumar KondapalliRead
How to Fix a Failing Kinaxis Maestro Implementation
Kinaxis

How to Fix a Failing Kinaxis Maestro Implementation

Dashboards are running and plans are being generated — but something still isn't right. A complete recovery guide for supply chain leaders.

By TarunKumar KondapalliRead
How to Build AI Agents with Databricks MCP
Databricks

How to Build AI Agents with Databricks MCP

In 2026, the conversation around data platforms has shifted dramatically — it's no longer just about pipelines and dashboards. A practical guide for modern data teams.

By TarunKumar KondapalliRead
Manage Data Quality with Lakeflow Spark Declarative Pipeline Expectations in Databricks
Databricks

Manage Data Quality with Lakeflow Spark Declarative Pipeline Expectations in Databricks

Maintaining high data quality is essential for reliable analytics and machine learning. Here's how Lakeflow's declarative pipeline expectations help enforce it at scale.

By TarunKumar KondapalliRead
Databricks Agent Bricks: 10 Success Secrets
Databricks

Databricks Agent Bricks: 10 Success Secrets

AI is rapidly evolving from simple automation into intelligent, agent-based systems capable of reasoning and planning. Ten secrets to get Agent Bricks right.

By TarunKumar KondapalliRead
Snowflake vs Databricks | Simbus 2026: Unlock Data Success
Databricks

Snowflake vs Databricks | Simbus 2026: Unlock Data Success

In today's data-driven world, businesses need a powerful platform to store, process, and analyze massive amounts of data. A head-to-head comparison.

By TarunKumar KondapalliRead
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