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Next Level Data

Practical thinking.
No vendor slides.

Insights on industrial data, AI, and automation - written for operations directors, IT leads, and plant managers who need decisions, not theory.

41

Articles

5

Topics

13

Years on the tools

41 articles
- Data Platform

Delta Lake on Microsoft Fabric: Migration Gotchas & Fixes

Migrating Delta Lake workloads to Microsoft Fabric is not a lift-and-shift. The OneLake storage model, the way Fabric handles Delta table registration, and the quirks around external shortcuts mean there are specific failure modes that appear only after you go live. Here are the ones we hit in production.

Microsoft FabricDelta LakeData Architecture
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Amit Kumar Singh

25 May 2026 · 10 min read

- Data Platform

Microsoft Fabric Managed Lakehouse: When to Use It

The Fabric Lakehouse is not one thing. Managed tables, unmanaged tables, OneLake Shortcuts, and the SQL analytics endpoint behave differently in ways that matter for how you design pipelines. Here is the decision framework we use in production deployments.

Microsoft FabricData ArchitectureOneLake
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Amit Kumar Singh

25 May 2026 · 8 min read

- Manufacturing

SAP S/4HANA Reporting Gaps: What Standard Reports Miss

Every SAP S/4HANA customer pays for analytics capabilities they assume are built in. Some are. A lot are not — or they exist but in a form that does not serve the operational questions plant managers and supply chain directors actually need answered.

SAPManufacturingData Platform
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Amit Kumar Singh

25 May 2026 · 9 min read

- Data Platform

SAP Analytics Cloud vs Power BI: Mid-Market Cost Comparison

SAP Analytics Cloud gets positioned as the natural analytics choice for SAP customers. For mid-market manufacturers with 50-300 users, the licensing economics rarely hold up compared to Power BI on Microsoft Fabric. Here is an honest comparison.

SAPPower BIData Platform
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Amit Kumar Singh

25 May 2026 · 8 min read

- Manufacturing

Food Manufacturing Analytics Dashboard: What Good Looks Like

Food manufacturing generates more operational data than most industries but acts on less of it. Batch records, yield data, micro results, line OEE, and cold chain temperatures all exist — usually in five different systems. Here is how the dashboard layer should look when you connect them.

ManufacturingFMCGAnalytics
AK

Amit Kumar Singh

25 May 2026 · 8 min read

- Supply Chain & Logistics

Logistics Cost Analytics Dashboard: What to Measure

Most logistics cost reporting is month-end finance data repackaged as a dashboard. The numbers arrive too late to act on and lack the carrier, lane, and customer granularity that makes the cost drivers visible. Here is the architecture that changes that.

Supply Chain & LogisticsAnalyticsPower BI
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Amit Kumar Singh

25 May 2026 · 8 min read

- Data Platform

Microsoft Fabric vs Azure Synapse: Honest Comparison

Microsoft wants everyone on Fabric. But for organisations with existing Synapse investments, the migration path is not always obvious and the case for moving is not always straightforward. Here is an honest comparison of where each platform is actually stronger.

Microsoft FabricData ArchitectureData Platform
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Amit Kumar Singh

25 May 2026 · 9 min read

- Supply Chain & Logistics

Control Tower Implementation: Steps That Actually Matter

Supply chain control towers are sold as a software product. They are actually a data integration project with a visualisation layer on top. The implementations that work do the data engineering right first. The ones that fail skip straight to the dashboard.

Supply Chain & LogisticsControl TowerMicrosoft Fabric
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Amit Kumar Singh

25 May 2026 · 9 min read

- AI & Automation

Agentic Analytics in Manufacturing: What It Means in 2026

Agentic analytics is not a product category yet — it is a pattern that is appearing across manufacturing clients as AI agents move from answering questions to acting on the answers. Here is what it looks like in production and where it actually adds value.

AI AutomationManufacturingMicrosoft Fabric
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Amit Kumar Singh

25 May 2026 · 8 min read

- AI & Automation

Autonomous Data Agents for Operations: What Works

Autonomous data agents for operational analytics are being deployed in manufacturing and supply chain right now. Most of the live deployments are narrow in scope, well-defined in action, and deliberately modest in their autonomy. Here is what the working pattern looks like.

AI AutomationSupply Chain & LogisticsManufacturing
AK

Amit Kumar Singh

25 May 2026 · 8 min read

- Supply Chain & Logistics

Power BI vs Tableau for Supply Chain: Honest Comparison

The Power BI vs Tableau debate in supply chain analytics is usually decided by politics and existing licenses, not by an honest capability assessment. Here is what actually matters for supply chain use cases and where each platform has a genuine edge.

Supply Chain & LogisticsPower BIAnalytics
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Amit Kumar Singh

25 May 2026 · 9 min read

- Manufacturing

Why Indian Manufacturers Are Hitting a Power BI Ceiling

Power BI is everywhere in Indian manufacturing. The dashboards look good. The numbers are wrong. The problem is not the tool - it is the data foundation underneath it.

ManufacturingPower BIIndia
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Amit Kumar Singh

17 May 2026 · 7 min read

- Data Architecture

From Raw Data to Autonomous Action: Microsoft Fabric's End-to-End Architecture Explained

Most industrial companies aren't suffering from a data shortage - they're drowning in fragmented data. Microsoft Fabric closes the loop from raw operational data all the way through to AI-driven automation, in a single governed environment. Here's how that works, pillar by pillar.

Microsoft FabricData ArchitectureManufacturing Analytics
AK

Amit Kumar Singh

17 May 2026 · 15 min read

- Supply Chain & FMCG

Singapore's APAC Supply Chain Visibility Problem - and the Architecture Fixing It

Most Singapore-based APAC supply chain teams can tell you what shipped. They cannot tell you where it is, when it will arrive, or whether it will arrive at all. The data exists - it just lives in seven systems that do not talk to each other.

Supply ChainSingaporeAPAC
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Amit Kumar Singh

14 May 2026 · 6 min read

- Manufacturing

Quality Prediction in Manufacturing Using AI & Machine Learning

Globally, poor quality costs manufacturers 15–20% of revenue annually - and most of that cost is not in the defective part itself, but in how late the defect was discovered. AI quality prediction changes this from a post-mortem to a real-time prevention system.

ManufacturingAIMachine Learning
AK

Amit Kumar Singh

12 May 2026 · 8 min read

- Industry 4.0

What Industrial Consultants Won't Tell You

After 13+ years across manufacturing, FMCG, and supply chain - three things I tell every client that most consultants won't say out loud.

ConsultingData FoundationAI
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Amit Kumar Singh

12 May 2026 · 6 min read

- Manufacturing

Predictive Maintenance Using AI in Manufacturing: Listen to the Machine, Not the Calendar

The average large manufacturing plant loses $253 million per year to unplanned downtime. Most of those failures are not random - machines broadcast impending failure through data signals days before they stop. AI predictive maintenance is what finally lets you listen.

ManufacturingPredictive MaintenanceAI
BJ

Bhumika Jain

11 May 2026 · 9 min read

- Manufacturing

UK Manufacturing's Data Problem Is Not the Same as Europe's

Post-Brexit, UK manufacturers face a set of data and supply chain challenges that are specific to their operating environment. Generic European digital transformation advice does not apply.

ManufacturingUKSupply Chain
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Amit Kumar Singh

10 May 2026 · 6 min read

- ERP & Data

Why Your ERP Reports Are Lying to You

Most ERP reports show you last night's data as today's reality. Discover why data latency is the real operational risk - and how a unified data layer fixes it.

ERPData LatencyManufacturing
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Amit Kumar Singh

8 May 2026 · 7 min read

- Supply Chain & FMCG

Why North American CPG Companies Are Rebuilding Their Data Stack

US consumer goods companies are facing a convergence of pressures - retail compliance requirements, supply chain volatility, and the gap between D365 and Fabric. The companies rebuilding their data stack now will have a structural advantage in 24 months.

Supply ChainNorth AmericaCPG
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Amit Kumar Singh

5 May 2026 · 7 min read

- ERP & Data

The SAP ByDesign Analytics Trap: When Your ERP Outgrows Your Reporting

SAP ByDesign was the right ERP choice for many growing Indian and GCC manufacturers. The analytics layer it comes with was not designed for the reporting demands of a business at scale. Here is what to do about it.

ERPSAPIndia
AK

Amit Kumar Singh

1 May 2026 · 6 min read

- Data Architecture

Microsoft Fabric: What Everyone Gets Wrong — And Why It Matters Right Now

Most companies think Microsoft Fabric is Power BI Premium rebranded. It is not. Here is what Fabric actually does across eight capability areas — and why misunderstanding it is costing organisations real competitive advantage.

Microsoft FabricOneLakeData Architecture
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Amit Kumar Singh

28 Apr 2026 · 12 min read

- Manufacturing

Predictive Maintenance: What Works vs. What Gets Sold

Unplanned downtime costs US manufacturers $50 billion a year. (Source: ARC Advisory Group, 2023) Predictive maintenance can cut that - but the gap between vendor claims and shop-floor reality is significant. Here's the honest guide.

Predictive MaintenanceAIIndustrial IoT
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Amit Kumar Singh

15 Apr 2026 · 8 min read

- Supply Chain & FMCG

What Every FMCG Supply Chain Needs Before AI

FMCG companies spend millions on AI-powered demand planning tools and still run 8% stockout rates. The AI is not the problem. The data underneath it is.

FMCGSupply ChainAI
AK

Amit Kumar Singh

1 Apr 2026 · 7 min read

- Manufacturing

Manufacturing Analytics: The €50B Factory Blind Spot

European manufacturers leave €50B+ on the table annually - not from lack of effort, but from lack of analytical visibility into what drives OEE, quality, and throughput.

ManufacturingAnalyticsOEE
AK

Amit Kumar Singh

22 Mar 2026 · 6 min read

- ERP & Data

Your ERP Is Not Your Data Platform

91% of CIOs cite data silos as a top obstacle to digital transformation. The root cause: treating the ERP as an analytics platform when it was designed as a transaction system.

ERPData PlatformLakehouse
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Amit Kumar Singh

10 Mar 2026 · 6 min read

- Industry 4.0

OT/IT Convergence: Where Industry 4.0 Gets It Wrong

68% of IIoT projects stall due to OT/IT integration failures. Not because the technology does not work - because the architecture decisions and organisational model were wrong from the start.

OT/IT ConvergenceIIoTIndustry 4.0
AK

Amit Kumar Singh

1 Mar 2026 · 7 min read

- Supply Chain & FMCG

Breaking Data Silos in FMCG: Five Systems to One Truth

The average FMCG company runs 7–12 disconnected systems. The cost shows up as stockouts, overstock, missed promotions, and S&OP meetings that debate whose numbers are right.

FMCGData SilosSupply Chain
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Amit Kumar Singh

22 Feb 2026 · 7 min read

- ERP & Data

What Nobody Tells You About Microsoft Fabric Licences

Fabric is genuinely good infrastructure. But clients are interpreting "unified platform" as permission to skip data engineering. They cannot.

Microsoft FabricData PlatformLakehouse
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Amit Kumar Singh

15 Feb 2026 · 6 min read

- Manufacturing

The Data Governance Problem in Manufacturing Analytics

Poor data quality costs organisations $12.9M per year on average. In manufacturing, the problem is worse - because OT data has no natural owner, KPIs are contested, and context is implicit.

Data GovernanceManufacturingOT Data
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Amit Kumar Singh

5 Feb 2026 · 6 min read

- Manufacturing

Predictive Maintenance: What Vendors Won't Tell You

Vendor PdM demonstrations make it look straightforward. The labelled training data problem, the CMMS integration gap, and the asset selection mistake are what actually determine success or failure.

Predictive MaintenanceAICMMS
AK

Amit Kumar Singh

28 Jan 2026 · 7 min read

- Manufacturing

OEE: The Most Gamed Metric in Manufacturing

Plant managers know what number leadership wants to see. OEE tells you what happened, not why - and not what to do next.

OEEManufacturingAnalytics
AK

Amit Kumar Singh

20 Jan 2026 · 5 min read

- Supply Chain & FMCG

Why Your Demand Forecast Is Wrong Before the Model Even Runs

Most FMCG businesses try to fix forecast accuracy with better tools. The real problem is the incentive structure that punishes accuracy and rewards cover.

Demand ForecastingFMCGSupply Chain
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Amit Kumar Singh

12 Jan 2026 · 6 min read

- Manufacturing

Quality Analytics: From Pass/Fail to Root Cause Intelligence

Quality failures cost manufacturers 15–20% of revenue annually. Pass/fail reporting tells you what happened. Root cause analytics tells you why - and how to prevent it.

QualityManufacturingAnalytics
AK

Amit Kumar Singh

5 Jan 2026 · 6 min read

- Supply Chain & FMCG

Supply Chain Control Tower: From Dashboard to Automation

Most organisations have a visibility dashboard and call it a control tower. There are two more layers of value above visibility - intelligence and automation - and the gap between them represents 35% fewer supply chain disruptions.

Supply ChainControl TowerAutomation
AK

Amit Kumar Singh

28 Dec 2025 · 7 min read

- Industry 4.0

Closed-Loop Operations: When Your Factory Thinks for Itself

The gap between data-driven factories and the rest is widening. Closed-loop operations - where defined signals automatically trigger defined responses - are how leading manufacturers are pulling ahead.

Industry 4.0AutomationAI
AK

Amit Kumar Singh

20 Dec 2025 · 7 min read

- Supply Chain & FMCG

Automated Replenishment: End the FMCG Stockout Cycle

$984 billion in excess inventory sits in consumer goods supply chains globally. Meanwhile, stockout rates average 8%. Both problems have the same root cause - and automated replenishment addresses both.

FMCGReplenishmentAutomation
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Amit Kumar Singh

12 Dec 2025 · 6 min read

- Automation

RPA in Manufacturing & Logistics: Where ROI Is Fastest

RPA delivers 200–400% ROI when applied to the right processes - and near-zero ROI when applied to the wrong ones. The difference is specific, identifiable, and often overlooked in RPA planning.

RPAAutomationManufacturing
AK

Amit Kumar Singh

4 Dec 2025 · 6 min read

- Automation

Real-Time Alerting: Fix Logistics Issues Before SLA Breach

65% of logistics SLA breaches are detectable in the data more than 4 hours before the customer is impacted. The technology to fix this is not complicated.

LogisticsReal-TimeSLA
AK

Amit Kumar Singh

25 Nov 2025 · 5 min read

- Industry 4.0

Analytics Last Mile: From Dashboards to Decisions

87% of AI and analytics projects never reach production operational impact. The gap is almost never the model quality - it is the missing bridge between insight on a dashboard and action in an operational workflow.

AnalyticsAIDashboards
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Amit Kumar Singh

18 Nov 2025 · 6 min read

- Industry 4.0

Digital Transformation Fails on Sponsorship, Not Technology

CDO runs the programme. Business unit heads tolerate it. Leadership changes. Programme dies. The technology was never the problem.

Digital TransformationLeadershipChange Management
AK

Amit Kumar Singh

18 Nov 2025 · 6 min read

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