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Data Analytics Services

The Data Analytics market is expected to expand significantly, increasing from $51.55 billion in 2023 to an estimated $279.31 billion by 2030—a growth of over 400%. This growth is driven by the pivotal role of data analytics as the driving force behind AI, which continues to disrupt businesses with relentless momentum.

Our Data Analytics services include:

Greenfield Data Lake/Cloud Data Platform: Design and implement a scalable Cloud data architecture tailored to your needs, using platforms like AWS (S3, Redshift), Google Cloud (GCS, BigQuery), Azure (ADLS, Synapse/Microsoft Fabric), Snowflake, or Databricks.

SAP Datasphere Accelerator: Quickly empower your organization with SAP data integration, modeling, and analytics capabilities, delivering actionable insights and improved decision-making.

Generative AI Accelerator: Pilot advanced AI capabilities using structured data from your existing data services and SAP data on leading Cloud platforms. This service integrates cutting-edge AI technologies to enhance business analytics and decision-making.

Generative AI in the AI landscape
  • Insightful Decision Making: Use ERP data trends to make informed decisions with real-time and historical insights.
  • Operational Efficiency: Analyze ERP data to identify inefficiencies, streamline processes, and optimize resources.
  • Cost Optimization: Spot cost-saving opportunities by analyzing spending patterns and supplier performance.
  • Improved Customer Experience: Use data analytics to personalize offerings and enhance customer satisfaction.
  • Forecasting and Planning: Leverage predictive analytics for accurate demand forecasting and strategic resource planning.
  • Risk Management: Identify and mitigate risks like supply chain disruptions and financial threats through data analysis.
  • Performance Monitoring: Track KPIs in real time to proactively manage and achieve business objectives.
  • Compliance and Governance: Ensure regulatory compliance and improve governance with clear visibility into SAP data and processes.
  • Sustainability Reporting: Combine ERP and external data for comprehensive reporting on carbon footprints and resource usage.

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