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dataZap offers over 9000 ready-to-use Smart Data Templates that automate data assessment, quality profiling, archival& purging. The templates provide a 50% baseline to all data relocation & removal projects. Below are some of the endpoints we support
Before you begin your relocation or removal process, it is important to understand the data that exists across your organization, how the data is being currently used, how much storage the data occupies, and a high level understanding of its current quality. This ‘assessment’ provides the foundation for critical decisions that will affect how you approach your data archival or purging. dataZap’s assessment enables decision makers to visualize critical data statistics, forecast how much money they can save by reducing storage & improving performance.
Going a step beyond ‘assessment’, quality profiling helps organizations get a deep dive on the current state of it’s enterprise data. Is the data clean? How much of my data is duplicated? What are key decisions that are being affected by bad quality? Quality profiling can report on individual data objects, tables or applications, and can be customized easily. Quality profiling, along with assessment, are key factors in determining the success of your archival/purging effort.
Data archival is driven by a variety of use cases. Some of them include - relocating data that is rarely used, warehousing closed transactions, storing data for compliance with data laws, reducing storage costs, improving application performance, among others. dataZap’s low-code approach streamlines archival for over 200 applications, and provides a robust workflow to achieve this. Once data has been archived, the platform’s cataloging engine helps index data, making it easily accessible for users.
Removal of data that is deemed unnecessary for transacting or business use is a practice that enhances application performance, and an organization’s data quality. Data storage costs are on the rise, and organizations are looking for ways to ensure they only keep the data they need.
Everything else to them is dead weight. dataZap can help automate the purging process, by intelligently selecting unnecessary data using AI & ML algorithms, and removing it.
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
The identification step, as part of the Identify, remedy, govern trio helps organizations identify data elements that are lacking in quality, taking up too much space, or are hardly used. Identification ensures organizations target the right data sets during an archival/purge process.
The second step, Remediation, ensures targeted data elements that were tagged during the ID phase are remedied. The business rules engine is put to work during this step
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The final step is Governance. Introducing a workflow for the archival & purge processes ensures no mistakes happen. Workflows are configurable and can be configured with no-code.
Removal of data that is deemed unnecessary for transacting or business use is a practice that enhances application performance, and an organization’s data quality. Data storage costs are on the rise, and organizations are looking for ways to ensure they only keep the data they need.
Everything else to them is dead weight. dataZap can help automate the purging process, by intelligently selecting unnecessary data using AI & ML algorithms, and removing it.
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
