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Transform Your Data Landscape with SAP Analytics and Modernization

Our SAP Analytics and Insights offering primarily focuses on two areas:

  1. Data Estate Modernization
  2. Data Storytelling and Analytics

Data Estate Modernization

We assist SAP customers in modernizing their data estate on hyperscalers, Snowflake, and SAP BTP to generate value from their data. This transformation is achieved through various services that are further accelerated by enablers developed from our experience in these areas.

Data Estate Modernization Strategy Services

  • As part of this process, we provide following services for customers in defining their data estate modernization strategy:
    • Assess maturity levels across people, processes & technology
    • Assess cloud partners and tools/services
    • Create cloud-native/hybrid-reference architectures on SAP and hyperscalers/Snowflake
    • Establish operating models and methodologies
    • Define target state capabilities and roadmaps
  • Below are some key enablers we use for our Data Estate Modernization strategy services:
    • Assessment framework and Capabilities Maturity Model
    • Reference architectures across various technology platforms (SAP, Azure, Google Cloud Platform, AWS, Snowflake)
    • Reference operating models

Cloud Data Platform Engineering services

  • Our approach to engineering cloud data platform includes the following services:
    • Simplifying existing SAP Data Platforms on SAP BTP, hyperscalers, Snowflake and hybrid environments using our playbook. This includes either migration or reengineering of SAP DWH to cloud platforms
    • Implementing data warehouses and lakes for the SAP ecosystem
    • Facilitating data integration and orchestration across SAP and external systems
  • To enhance these services, we leverage the following enablers:
    • Infosys SAP Data Objects Migration Workbench
    • Infosys Information Grid for SAP Data Integration
    • Pre-delivered Business Content on Cloud
    • Report Rationalization Accelerator

Augmented Intelligent Solutions

  • We provide next-generation solutions using AI/ML based insights that combine enterprise and external data. This approach derives connected insights, improves predictions and generates prescriptive analytics. This includes:
    • Conducting analytics process gap analysis and remediation
    • Reviewing user-efficiency analysis and remediation
    • Automating repetitive data driven processes
    • Automating data-prep and cleansing tasks
    • Feeding predictions into automated processes
  • The following enablers support our augmented intelligent solutions:
    • Infosys Intelligent Solutions for different industries with SAP integration
    • ML models tailored for various use cases
    • Analytics and Process Integration Framework
  • Industry-specific enablers include:
    • CPG/Retail: Predictive On-Time In-Full, Demand Shaping, Promotional Effectiveness and Product Traceability
    • Manufacturing: Smart Warehouse Management, Inventory Optimization and Maintenance Operations
    • Utilities: Intelligent Customer Insights, Vegetation Management and Intelligent Maintenance

Data Storytelling and Analytics

Our Data Storytelling and Analytics offering fosters data democratization and enhances value generation through AI-powered use cases. The services we provide under this offering are:

Visualization Strategy

Data Visualization is key in driving business benefit by effectively communicating data insights to end-users. Our strategy for successful visualization is driven by:

  • Understanding client needs and identifying which tools will best fulfill those requirements
  • Choosing the right techniques and setup to make data understandable.

Data Storytelling and Augmented Analytics

Transforming data into a visual narrative can be achieved by,

  • Bringing life to dashboards through data, visuals and narratives
  • Facilitating the use of Augmented Analytics that incorporate AI/ML algorithms using NLP and Gen-AI for conversational analytics

Self Service Enablement

Data democratization is critical for successful utilization of data assets within an organization. Key benefits are:

  • Fosters a data-driven culture by empowering non-technical users to self-create.
  • Reduces TCO and provides a framework for business users towards data exploration and reduced IT dependency.

The above services are augmented by following enablers:

  • Data Democratization Aides:
    • Self Service Framework
    • Analytics Decision Framework
    • Domain Centric Data Mesh Framework
    • Data Observability Solutions
    • Gen-AI augmented Report Rationalization
    • Tool for SAP S/4HANA transformations
  • Best Practices:
    • Data Storytelling Best Practices
    • Design Guidelines
    • Show-and-Tell Content for SAP S/4HANA transformations
Data Analytics and Insights

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