Transform Your Enterprise Data into a Strategic Asset
SAP BODS by AMSYS empowers organizations to access, transform, and deliver trusted data across cloud and on-premise environments. With powerful capabilities for data integration, quality management, and governance, AMSYS enables you to manage data complexity and make confident business decisions at scale.
What is SAP BusinessObjects Data Services (BODS)?
SAP BODS is an enterprise-grade data integration and quality platform that consolidates, cleanses, and enriches data from disparate sources. AMSYS leverages BODS to help businesses build trusted, high-quality, and auditable data pipelines that fuel digital transformation.
Simplifying complex enterprise data environments with AMSYS and SAP BODS.
Disconnected systems and manual workflows make data inconsistent, error-prone, and hard to reconcile across the organization.
Duplicate records, inconsistent formats, and a lack of governance often compromise the reliability of reports and insights.
Rapid data growth and evolving analytics needs call for high-speed processing, batch & real-time integration, and flexible scalability.
Meeting regulatory requirements like GDPR and HIPAA demands full visibility, traceability, and control of enterprise data assets.
Powerful capabilities for high-quality, integrated, and governed data flows.
Built-in native connectors for SAP and third-party systems across cloud, on-premises, and hybrid environments.
Support for parallel processing, text and geographic data handling, and complex data transformation use cases.
Intuitive UIs for business users to design mappings, apply rules, and validate data without deep technical expertise.
Dashboards and validation tools to monitor, cleanse, and improve data accuracy, consistency, and completeness.
Centralized repository for business rules, object reuse, data lineage tracking, and metadata management.
Unlock real-time insights and enterprise-wide trust in your data.
Structured implementation to ensure scalable and compliant outcomes.
Analyze the data landscape, identify integration points, define governance frameworks, and plan for optimal architecture.
Deploy critical data sources first and build in parallel using real-time and batch strategies to reduce risks and maximize outcomes.
Implement dashboards and automated rules for data validation, cleansing, and monitoring aligned with business objectives.
Build hybrid-ready architecture compatible with cloud/on-premise systems and Big Data tools for long-term scalability.
Maintain agility, governance, and performance throughout the data lifecycle.
Centralize business rule repositories, establish clear stewardship roles, and enforce data lineage documentation.
Utilize parallel processing and bulk strategies, with continuous monitoring and tuning of data workflows.
Implement dashboards, validation checks, and exception handling routines to proactively manage data quality.
Empower business users with intuitive interfaces and training on transformation and self-service data access.
Ensure auditability, access controls, and encryption are enforced across platforms to meet security requirements.
Powerful, scalable, and connected data pipelines built by AMSYS
Seamlessly connect to databases, SAP systems, cloud apps, files, and web services using prebuilt adapters and native integration protocols.
Design high-performance extraction, transformation, and loading (ETL) jobs with push-down processing and intelligent workflow design.
Achieve high throughput for large datasets using parallel processing, grid computing, and scalable architecture across servers.
Leverage out-of-the-box support for SAP extractors, BAPIs, IDocs, and ABAP for tightly integrated data flows across SAP Business Suite.
Connect to non-SAP sources including Oracle, SQL Server, MySQL, MongoDB, Hive, and more with reliable connectors and data adapters.
Ensure accuracy, consistency, and trust across your enterprise data.
Standardize, correct, and enrich data using built-in transformation rules and live validation engines, ensuring high-quality information from ingestion.
Automatically identify and consolidate duplicate entries using fuzzy logic, phonetic matching, and customizable deduplication rules.
Validate postal addresses, names, and organizational entities against local and global standards to enhance trust and consistency.
Visualize the effect of data quality issues across downstream systems with interactive dashboards to proactively mitigate risks.
Apply reusable and centralized business logic to enforce data governance and eliminate inconsistencies across processes.
Discover hidden insights and assess data reliability with precision.
Analyze value distribution, null rates, uniqueness, and length across columns to assess data health and spot anomalies.
Identify data overlaps, dependencies, and key relationships across tables to support referential integrity and modeling.
Run profiling with Z-score and statistical outlier analysis to uncover irregular patterns and prevent data risk.
Automatically validate structure and format during profiling runs to identify inconsistent data early in the pipeline.
Use profiling reports to define standards, enforce policies, and document data lineage and trustworthiness.
Unlock insights from unstructured content using natural language understanding.
Multilingual Entity Extraction
Extract people, places, dates, and organizations from documents across 31 languages using semantic and syntactic parsing.
Unstructured File Parsing
Read PDFs, Word files, HTML, and other unstructured formats with support for over 220 file types to uncover hidden facts.
Sentiment & Context Analysis
Perform text mining and sentiment scoring to classify customer feedback, reviews, and support logs for business relevance.
Linguistic Rule-Based Processing
Apply dictionary-based linguistic rules to interpret sentence structure, relationships, and token patterns.
Integration with Big Data
Push down text analytics to Hadoop and integrate with enterprise search, machine learning, and advanced analytics platforms.
