Data Archival & Purging

Work with only the data you need. Everything else is a click away

SAP & Oracle archival certified

Adapter-driven approach

Data archival assessment

Classify & Catalog archived data

Big data & Hadoop powered

Immediate ROI

dataZap for Archival & Purging

Time saved equates to money saved. And with the changing landscape of enterprise applications, increased data storage also equates to increased costs. Digital transformations often cause data volumes to balloon, which consequently take up more space, hinder performance, cause data corruption, and lead to increased costs and bad business decisions.Having data a click away, while not having data you don’t need becomes critical to running a nimble business.

Enter the world of data assessment, archival & purging where an organization is able to accurately assess where data volumes are unnecessarily high, and make a decision to archive or purge it based on a variety of pre-built & custom rules.

dataZap comes with 1000+ pre-configured adapters that enable a 40-70% savings in time & cost. Here are all the features that can help:
  • SAP ECC, S/4HANA, C/4HANA, BW, Hybris Certified
  • Oracle eBS, JDEdwards, PeopleSoft Certified
  • Supports 200+ ERP & non-ERP applications
  • ROI through reclaimed disk space, better performance and snappier day-to-day functions
  • Scramble or mask sensitive data during archival
  • Hadoop powered archival strategy
  • Pre-defined, user-friendly screens & reports for archived data
  • Fits directly into your organization’s data retention policies
  • Quality assessment to visualize data volumes by object or table
  • Archival adapters that automate open & historical data relocation
  • Purge adapters for unused data removal
  • Pre-built & customized rules for archival, purging & assessment
  • A fully no-code/low-code approach
  • Pay-as-you-use pricing model
Trial / Demo

Featured Clients

I would like to thank the ChainSys team for assisting us in the Oracle E-Business Suite ERP Archive and Purge project. During the project phase, the team did an excellent job. We have promising results and cost savings. Really appreciate your professionalism, support & help

CIO of Hi-Tech Supplier to Apple

We successfully archived SAP and JD Edwards Applications using Chainsys’ dataZap. The project was a great success and now we have clear policies established for ongoing data archival processes. Thanks to ChainSys for the professionalism and flexibility

VP - IT of a Large Cancer Drug Manufacturer

Valid Use Cases

  • Relocate production data that is no longer transactable to a history database
  • Remove any data from production that is confirmed to be no longer needed
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Benefits

  • Save 40 to 70% in time & cost
  • Reduce (and/or control) cost associated with maintaining non-production environments
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Differentiators

  • Pay-as-you-use pricing model
  • 9000 ready-to-use adapters for assessment, archival & purging
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Case Studies

Understanding the Archival & Purging process

Data Assessment, Archival & Purging

Data Assesment

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.

Data Quality Profiling

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

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.

Purging

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.

Data Migration

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.

Data Extraction

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

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

Transformation

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.

Data Loading

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.

Data Migration

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

Identification, Remediation & Governance

Identification

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.

Remediation

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

Governance

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.

Purging

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.

Data Migration

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.

Data Extraction

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

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

Transformation

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.

Data Loading

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.

Data Migration

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

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