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NetSuite Analytics and AI.
Answers from the data you already hold

NetSuite holds the whole business on one platform, but most accounts still export to Excel to answer basic questions. Saved searches nobody trusts, dashboards nobody opens, and AI features nobody has switched on.

We build NetSuite reporting people use, extend it with a data warehouse where needed, and put NetSuite's AI features and custom AI to work on your data.

ReportingSuiteAnalytics

Saved searches, workbooks and dashboards.

WarehouseAnalytics Warehouse

NetSuite data combined with other sources.

AIBuilt in and custom

NetSuite AI features and AI built on NetSuite data.

MeasureUsage

Reports judged on whether people use them.

What is included

Reporting and AI people actually use

Six areas, from tidying what exists to adding AI on top.

Saved search clean-up

Existing searches reviewed, duplicates removed, definitions agreed and the useful ones documented.

Most accounts have hundreds of searches and a few that matter.

Fewer reports, each one trusted.

Workbooks and dashboards

SuiteAnalytics workbooks, KPI scorecards and role-based dashboards for leadership, finance, sales and operations.

Designed with the people who will open them.

The numbers on the home screen.

Financial reporting

Financial report builder, management packs and multi-entity consolidation reports.

Definitions agreed with finance once.

Month-end packs without Excel.

Analytics warehouse

NetSuite Analytics Warehouse or an external warehouse combining NetSuite with CRM, ecommerce and other data, with Power BI or Oracle Analytics on top.

Only where NetSuite reporting alone falls short.

Cross-system answers in one place.

NetSuite AI features

NetSuite's built-in AI and automation features reviewed, switched on where they fit, and governed.

Value from features already in the subscription.

Less manual entry and faster insight.

Custom AI on NetSuite data

Assistants, document capture and agents built on NetSuite data through our AI Solutions team.

Permission-aware, with every action logged.

Questions answered in plain language.

How an analytics engagement runs

StepOneInventory

Existing searches, reports and dashboards listed with usage, owners and the decisions they support.

Usage data shows which reports matter.

You receive:

A reporting inventory

Keep, fix, merge or retire per report.

Yours whether or not work continues.

StepTwoDefine

Key measures defined with finance and business owners, with one agreed calculation each.

Arguments about numbers end here.

You receive:

A metric dictionary

Definitions, sources and owners.

Signed off by finance.

StepThreeBuild

Workbooks, dashboards, financial reports and, where needed, the warehouse and AI features built and tested.

Every number reconciled to the ledger.

You receive:

Tested reporting

Reconciled and documented.

Rolled out by role.

StepFourAdopt

Users trained, usage tracked, and reports refined in the first months.

Unused reports are retired, not kept.

You receive:

A usage review

What is used, what is not, and what changes.

Quarterly.

01
Coverage

Need, tool and delivery model

Which NetSuite analytics tool fits which need.

NetSuite Analytics & AI: coverage
NeedToolUsersModel
Operational listsSaved searchesAll teamsProject or managed
AnalysisSuiteAnalytics workbooksAnalysts, managersProject
Management KPIsDashboards, scorecardsLeadershipProject
Cross-system reportingAnalytics Warehouse, Power BIFinance, leadershipProject or managed
AINetSuite AI, custom AIAll teamsProject
Approach

Fewer reports, each one trusted

The problem in most NetSuite accounts is not a lack of reports. It is too many, with different definitions, and no one sure which is right.

We agree definitions with finance, retire what nobody uses, build what is missing, and only then add a warehouse or AI on top of numbers people trust.

Discuss NetSuite reporting
  • One definitionEvery measure agreed once with finance.
  • ReconciledNumbers tied back to the ledger.
  • AI on clean dataAI added after the reporting is right.

Scope follows the reporting inventory.

Questions we get asked

Before a NetSuite analytics project

Do we need a data warehouse?

Only if you need to combine NetSuite with other systems or need heavy historical analysis. Many businesses get what they need from SuiteAnalytics alone.

Can Power BI connect to NetSuite?

Yes, through connectors or a warehouse. We recommend the route based on data volume and refresh needs.

What AI features does NetSuite have?

NetSuite continues to add AI and automation features. We review what your subscription includes and switch on what fits.

Can we ask NetSuite questions in plain language?

Yes, through NetSuite's own features where available or a custom assistant built on NetSuite data with permissions enforced.

Can you clean up our saved searches?

Yes. That is often the first piece of work.

Stop exportingto Excel.

Tell us the questions your team answers in spreadsheets today. We will show how NetSuite can answer them.

Get in touch +91-120-4849200