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Move from descriptive to real-time prescriptive analytics and automation

Nia Procurement Insights generates accurate classification and insights to provide complete procurement spend visibility and intelligent analysis that equips procurement teams with enhanced decision-making capabilities.

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Key Features

Data Management

Nia Procurement Insights seamlessly ingests data from disparate systems. It enables data cleansing and transformation through pre-built scripts and provides ability to write custom transformation rules. It also provides out-of-box data connectors and adaptors to facilitate seamless integration without any alteration to the internal systems.

Here are the key features in data management:

Spend Classification

Nia Procurement Insights leverages rule-based as well as ML-based auto classification for an efficient and in-depth (n-Level taxonomy supported) classification of spend data. It also supports multilingual classification to automate tedious workflows, creating a unified and classified spend view, ready for generating insights. Nia Procurement Insights has an extensive rules repository and taxonomy management to suit individual business needs and enjoy spends visibility.

The features include:

Spend Analytics

Nia Procurement Insights accelerates the journey from descriptive to predictive analytics with extensive dashboards and predictive analytics capabilities. It drives actionable insights for business excellence.

Here are the key analyses that are possible:

Nia Procurement Insights- Faster Time to Value with Technology

Key Benefits

Nia Procurement Insights – Accelerate Actionable Insights
  • Simplifying data, cleansing and unifying data, normalizing and enriching data

  • Gain visibility by classifying spends, deriving KPIs and configuring dashboards

  • Identify opportunities by consolidating vendors, aggregating demand and price reduction

  • Amplifying savings through insights to actions, forecasting demand and planning budgets


Savings Opportunity

Productivity Gain

10-12% Impact in
Vendor Normalization

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