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Procurement data analytics and reporting

Data Analytics and Reporting

Direct procurement data across all levels of the supply chain by drawing from a central data lake, a confluence of data from disparate systems, functions and geographies. Cutting-edge analytical technologies power through heaps of structured and unstructured data, extracting actionable insights to support strategy and decision-making in a dynamic market landscape.).

Data-Driven, AI-Aided Decision-Making easily integrates with your existing ERP, F&A or any other back-office system to ensure that all your data is updated, accurate and synchronized. All your sourcing, procurement and spend data is available across the platform for multidimensional analysis and reporting.

Master Data Management has comprehensive supplier master and item master data management capabilities data collection, normalization, error identification and rectification, consolidation, storage and distribution making it easy to manage and share data across the enterprise. Spend Analytics as a comprehensive spend analysis platform, curates direct procurement data from all your source systems to deliver rich, real-time insights along with granular, item-level visibility.

Savings Tracking ensures it is easy to track all your cost-saving projects by making all the information available real time in a single, intuitive interface. From ideation to execution to realization with savings tracking provides a life cycle view of all cost-saving activities by BOM, category, projects or SKUs. BOM Dashboards acts as a single-point reference for all category-related information, providing the visibility, decision-support and planning that category manager’s demand.

Procurement data analytics capabilities that enable users to perform sophisticated quantitative operations and draw actionable insights and value from data. Spend analytics gives you full visibility and complete control of spend data by leveraging artificial Intelligence-driven tools and algorithms built to process and accurately classify sizeable amounts of data.

  • Clean, validate, classify, normalize, analyze, report and enrich spend data
  • Collate multi-language and multi-currency data from several sources
  • Track vendor-wise purchase activity and buying trends
  • Find new avenues to save, improve compliance, boost process efficiency and reduce supply chain risk

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