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dataZap offers over 2500+ ready to use Smart Data Adapters for data extraction, data loading and data mappings (source to target mappings) for Enterprise Applications from Oracle, SAP, Microsoft, Salesforce, Workday and others. The Adapters help the projects to start with over 80% readiness.
Data Profiling does an examination of the source data and gives an insight into the quality of source data. It helps identify how the data is being used, the cleansing requirements, and which data needs to be migrated. Profiling helps find data patterns, erroneous data, inconsistent data and incomplete data.
The consolidation engine uses Machine Learning (ML) algorithms to identify potential close 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. It also allows the user to choose near duplicate to keep, discard or merge with another. No dependent records are left orphaned - instead they are properly entered into a cross reference table.
Artificial Intelligence (AI) Rules Engine helps with automated data cleansing of the fields that are essential for Business. Inaccurate, duplicate and outdated data can lead to bad decisions based on the data and cost the organizations heavily. Cleansing removes such lacunae in data and paves the way for powerful analytics and insights.
The Source master data, especially data from some legacy systems, may not have all the values needed for the newer target Applications. This calls for additional enrichments of attribute columns which can be very helpful for improved operations, reporting, and analytics. Common candidates are zip codes, addresses, country codes for telephones, credit rating of customers, etc.
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 available.
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 adapters for more than 50+ applications for extracting master data, meta data and transactional data. Setup data are extracted from major ERPs. These adapters 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 for every data adapter. Additionally, it enables users to configure additional Pre-Validation rules based on business needs.
dataZap includes transformation option 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 Oracle Cloud Applications, SAP S/4HANA, Oracle E-Business Suite, SAP ECC, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft and many other enterprise application environments. 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.
Out of the box data flows covering logical and physical mappings between applications such as Oracle Cloud Applications, SAP S/4HANA, Oracle E-Business Suite, SAP ECC, Oracle JD Edwards, Microsoft Dynamics, Oracle Peoplesoft, Oracle Siebel and many other enterprise application environments. Reference data migration mappings are also available.
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 basedre-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
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-load 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 on the data migrated. ChainSys Smart BOTs is used for this purpose.
ChainSys provides various useful reports and dashboards out of the box. Data Reconciliation between Source and Target migrated data is very useful and available. The business friendly ChainSys Visualization tool helps you to configure your own custom reports and dashboards with simple point and click capabilities.
The test BOTs of the Platform makes it easy for you to perform automated functional process testing using the new converted data. For example: Material master conversion will be followed by the following test sequence (1) Creating a Purchase Order using this material (2) Performing a PO Receipt against the Purchase Order created in step #1. The BOTs come with pre recorded test sequences, so you do not have to record the test sequences for most ERPs.
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.
ChainSys approaches complex Data Migration to various ERP and Enterprise Applications needs with simplicity and robustness. The platform really stays on top of the race with its ready to use 7000+ Data Adapters for Data Extraction, Data Loading and Data Mappings from Source to Target Applications. The dataZap is seamlessly integrated with dataZen and Smart BOTs for Data Quality Management (DQM, MDM) and Automated Testing. The templates/adapters based approach is unique and offers you a head start on your project effort by more than 50%.
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