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Data, Automation & AI

Advanced Data Solutions

Streamline Data Migration and Transformation for Effortless Oracle Cloud ERP Implementation

We provide a comprehensive solution tailored to address the data challenges businesses encounter during their Oracle Cloud ERP transformation. Our approach simplifies data integration, cleansing, transformation, and validation within Oracle Cloud ERP, ensuring the success of the implementation program. With a focus on timely, secure, and efficient transformation, we guarantee the seamless availability of critical business data. Our complete solution includes data extraction, profiling, transformation, and robust data governance, empowering businesses with high-quality, accessible data throughout the transformation journey.

Data Extraction

Organizations often have a wide range of source systems, with data scattered across various legacy platforms. For example, one customer may rely on Oracle JDE, while another uses PeopleSoft. Due to this, most of the cloud implementations face delays due to challenges with data onboarding.

Our solution tackles this issue by offering multiple data onboarding options, including file-based methods (Excel, CSV, XML) or direct database connectivity. We’ve developed prebuilt capabilities to seamlessly integrate data from a variety of legacy systems, such as SAP, Oracle EBS, JDE, PeopleSoft and more, into Oracle Cloud ERP. Our extraction tools clean the data, perform reconciliation to detect outliers and upload errors, and facilitate ongoing data maintenance for continued accuracy.

Data Profiling

Throughout the implementation lifecycle, a significant amount of resources are devoted to assessing the quality of source data. Using predefined KPIs, our DaaS methodology incorporates data profiling for key master and transactional data entities to identify issues such as duplicates, anomalies, and more. We leverage prebuilt profilers to analyze data across various parameters, delivering an objective assessment of its quality. Businesses often struggle when data is dispersed across multiple systems, resulting in excessive time and effort spent on reporting, consolidations, and maintenance. We simplify this process by ensuring that reports are properly structured, seamlessly syndicated across all systems, consolidated, and optimized for the cloud, reducing inefficiencies and streamlining data management.

Data Transformation

We offer an end-to-end data transformation framework that simplifies the data migration process with minimal manual intervention. Data transformation is a key component of the implementation, and it becomes even more challenging when data is spread across multiple legacy systems. Our solution effectively manages complex transformations, enables custom validations, and generates necessary translations to ensure smooth and accurate data migration.

Data Quality & Governance

Poor data quality and governance are major risks that can hinder the success of cloud and digital transformation initiatives. With our comprehensive data quality and governance framework, business teams can efficiently cleanse, validate, and standardize data to meet the specific requirements of Oracle Cloud ERP.

Drawing on our experience working with clients across various industries, we have developed data governance and quality standards. This includes defining key metrics to measure data quality and conducting audits to ensure effective governance. Our approach involves close collaboration with data owners and stewards, helping client business teams navigate data cleansing recommendations and validate cleansed datasets to resolve any underlying data issues.