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dataZen for data quality offers Smart Data Templates for data extraction, cleansing, loading and mappings (source to target mappings). The pre-defined templates helps to save over 60% time and cost.
Data Profiling examines source data and gives an insight into it. It helps identify data usage, cleansing requirements, and how much and what data needs to be migrated. Profiling identifies Data Patterns, Erroneous Data, Inconsistent Data, and Incomplete Data.
The consolidation engine uses ML Algorithms to identify potential matches across the master data spectrum. The ML engine also has a flexible rules engine to accommodate automatic merging of the field values from the victim data over to the survivor records.
Data Cleansing AI Rules Engine helps with Automated data cleansing of the fields that are essential for Business. It helps create a ‘Single Source of Truth’ and hierarchical representation of master data, which is very important for providing powerful analytics and insights.
The Source master data, especially data from some legacy systems, may not have all the values needed for the new modern target Applications. This calls for additional Enrichments of attribute columns which can be very helpful for Improved Operations, Reporting, and Analytics.
Data audit trail is maintained from the initial raw data to the final clean golden records. Useful reporting of Raw Data, Matches Data, No Matches Data, Survivors, Victims, Data Cleansing, Enrichments, and Gold Data is provided out of the box (OTB).
Data Profiling does an examination of the source data and gives an insight into the source data information. It helps identify how the data is being used, the cleansing requirements, and how much data needs to be migrated. Profiling enables to find the Data Patterns, Erroneous Data, Inconsistent Data, and Incomplete Data.
The consolidation engine uses ML Algorithms to identify potential matches across the master data spectrum. The ML engine also has a flexible rules engine to accommodate the automate merging of the field values from the victim data over to the survived records
Data Cleansing AI Rules Engine helps with Automated data Cleansing of the fields that are essential for the Business. It helps create a ‘Single Source of Truth’ for Hierarchical representation of master data, which is very important for providing powerful analytics and insights.
The Source master data, especially data from some legacy systems, may not have all the values needed for the New Modern target Applications. This calls for additional Enrichments of attribute columns which can be very helpful for Improved Operations, Reporting, and Analytics.
Data audit trail is maintained from the initial raw data to the final clean golden records. Useful reporting of Raw Data, Matches Data, No Matches Data, Survivors, Victims, Data Cleansing, Enrichments, and Gold Data is OTB.
ChainSys provides pre-defined adaptors for more than 50+ applications for extracting master data, meta data and transactional data. These adaptors support multiple connection methods such as web services (REST, SOAP), JDBC, JSON, XML, Excel, Flat Files, BAPI, OData, MQ, JMS Queues etc.
Pre-Validation helps to check the data for functional dependencies or missing Setups in target application. Pre-validation also checks for technical data issues such as: constraints, data types, length, null check, format mask for date and time, check text case, duplicate data, currency rounding etc. The benefit of this is to understand issues before loading the data into the target application. dataZap Mass Data Loading Platform provides hundreds of pre-defined pre-validations OTB for every data adapter. Additionally, it enables users to configure additional Pre-validation rules based on business needs.
Data Migration includes a transformation program and not just lift and shift. Transformation rules engine enables users to configure lookup and expression based transformation rules. Internal or external data can be used for transformation logic. ChainSys also provides pre-defined transformation logic for a majority of the source to target migration project needs.
ChainSys provides 4000+ data loading templates for SAP, Oracle Cloud Applications, Oracle EBS, JDE, PSOFT, Siebel etc. OTB. These templates support setups, master and transactional data (both open and historical) loading.
We also provide high performance packages to load High data volumes within a short time. Change data capture (CDC) engine helps reduce the cut over timelines.
We provide OTB data flows covering logical and physical mappings between applications such as SAP, Microsoft, Oracle Products etc. and Oracle Cloud Applications, EBS, JDE, PSOFT, Siebel etc. We have all reference data migration mappings OTB as well.
ChainSys provides pre-defined adaptors for more than 50+ applications for extracting master data, meta data and transactional data. These adaptors support multiple connection methods such as web services (REST, SOAP), JDBC, JSON, XML, Excel, Flat Files, BAPI, OData, MQ, JMS Queues etc.
Pre-Validation helps to check the data for functional dependencies or missing Setups in target application. Pre-validation also checks for technical data issues such as: constraints, data types, length, null check, format mask for date and time, check text case, duplicate data, currency rounding etc. The benefit of this is to understand issues before loading the data into the target application. dataZap Mass Data Loading Platform provides hundreds of pre-defined pre-validations OTB for every data adapter. Additionally, it enables users to configure additional Pre-validation rules based on business needs.
Data Migration includes a transformation program and not just lift and shift. Transformation rules engine enables users to configure lookup and expression based transformation rules. Internal or external data can be used for transformation logic. ChainSys also provides pre-defined transformation logic for a majority of the source to target migration project needs.
ChainSys provides 4000+ data loading adaptors for SAP, Oracle Cloud Applications, Oracle EBS, JDE, PSOFT, Siebel etc. OTB. These adaptors support setups, master and transactional data (both open and historical) loading.
We also provide high performance packages to load High data volumes within a short time. Change data capture (CDC) engine helps reduce the cut over timelines.
We provide OTB data flows covering logical and physical mappings between applications such as SAP, Microsoft, Oracle Products etc. and Oracle Fusion Cloud Applications, EBS, JDE, PSOFT, Siebel etc. We have all reference data migration mappings OTB as well.
Before loading the data, the tool checks all the dependency objects and provides a pre-check result. This is very useful for fixing any data extraction issues.
Business friendly Pre-load reconciliation report / dashboard provides a field to field comparison between the source raw data and transformed data.
Business Friendly Post-load reconciliation report / dashboard provides field to field comparison between the transformed and target data loaded.
Business friendly drill down dashboards are provided to identify the mismatches on the data migrated and fix them expeditiously.
The tool performs automated functional testing with the converted data and provides powerful reports and insights for business to sign-off the data migrated. ChainSys Smart BOTs is used for this purpose.
ChainSys provides various useful data reports and dashboards OTB. Business friendly Error Reporting is very useful and available OTB.
The Business Friendly ChainSys Visualization tool helps you to configure your own custom reports and dashboards with simple point and click capabilities.
We perform Automated Functional process testing using the converted data. For example: Material master conversion will be followed by testing (1) Creating a Purchase Order using this material (2) Performing a PO Receipt against the Purchase Order created in step#1.
Before loading the data, the tool checks all the dependency objects and provides a pre-check result. This is very useful for fixing any data extraction issues.
Business friendly Pre-load reconciliation report / dashboard provides a field to field comparison between the source raw data and transformed data.
Business Friendly Post-load reconciliation report / dashboard provides field to field comparison between the transformed and target data loaded.
Business friendly drill down dashboards are provided to identify the mismatches on the data migrated and fix them expeditiously.
The tool performs automated functional testing with the converted data and provides powerful reports and insights for business to sign-off the data migrated. ChainSys Smart BOTs is used for this purpose.
ChainSys provides various useful data reports and dashboards OTB. Business friendly Error Reporting is very useful and available OTB.
The Business Friendly ChainSys Visualization tool helps you to configure your own custom reports and dashboards with simple point and click capabilities.
We perform Automated Functional process testing using the converted data. For example: Material master conversion will be followed by testing (1) Creating a Purchase Order using this material (2) Performing a PO Receipt against the Purchase Order created in step#1.
Data Quality is one of the most important problems in data management. ChainSys approaches complex data management problem in SAP, Oracle, Workday, SFDC, Microsoft and other enterprise application needs with Simplicity and Robustness. The platform really stays on top of the race with its Robust Machine Learning algorithms to solve data cleansing issues. Also, ready to use 3000+ Data Templates for Data Extraction, Data Loading and Data Mappings from MDM Data Model to Target Applications including Master, Reference and Transactional data. The dataZen is seamlessly integrated with dataZap, dataZense and Smart BOTs for Data Movement, Data Analytics and Automated Testing.
