FAQs

Yes. dataZap’s architecture employs the distributed computing model for its functioning. This means that dataZap’s architecture is highly scalable and flexible. An Organization can manage connections to 100+ instances easily.

dataZap offers Full and incremental data extractions as a standard feature. For Full extract, the extract adapters extract the complete data and processes into target application. In the case of Incremental extraction, based on 'last update date' or 'creation date' or any other date fields specified, the extract adapters will extract the incremental data between the last run process date/time and current process date/time.

Yes. dataZap templates can manage these custom entities.

The dependency and sequencing of data extracts is a standard feature within Datazap's templates. The sequencing of loads can occur both in sequential order and parallel mode.

Yes. dataZap’s architecture employs the distributed computing model for its functioning. This means that dataZap’s architecture is highly scalable and flexible. An Organization can manage connections to 100+ instances easily.

Yes. Data extraction, loading, transformation, validation & reconciliations are performed by Datazap templates.

Yes. The feature to load data/configurations from a predefined Excel template is one of the key capabilities. We offer a pre-defined Excel template that can be used to directly load data & configurations into the target system.

The dependency and sequencing of data loads is a standard feature within Datazap's templates. The sequencing of loads can occur both in sequential order and parallel mode.

Datazap offers Full and incremental data extractions as a standard feature. For Full extract, the extract adapters extract the complete data and processes into target application. In the case of Incremental extraction, based on 'last update date' or 'creation date' or any other date fields specified, the extract adapters will extract the incremental data between the last run process date/time and current process date/time.

Yes. dataZap has 600+ pre-defined templates that support setup migration.

Yes. Historical data migration, archival and purging are supported.

Yes. dataZap can migrate personalizations, customizations & extensions seamlessly

Yes. datazap's templates come pre-seeded with migration, mappings, validations & transformations for most widely used ERP modules.

The Datazap product offers Change data capture using Oracle’s Database Streams concept. Using this feature, the source application tables redo-log files can be monitored at a scheduled time frequency and the changes can be moved into the Change data capture tables. From the Change data capture tables, the data can be extracted, transformed and loaded into the Target application.

Yes. The dataZap templates can be customized easily to migrate custom table data.

Yes. The dataZap templates can be customized easily to migrate custom table data.

Yes. It is one of the crucial value-adds of dataZap. The templates ensure that the learnings gained from one migration project is transferred onto the next.

The best practice flow is as follows: Extract -> Data Input (source datamart) -> Data Marting (target datamart) -> Transformation -> Pre-Validation -> Pre-Load Reconciliation -> DQM ->Loading -> Post Load Reconciliation -> Post Processing.

Yes, built-in. ChainSys’ "Get Clean" process consists of a Profiling engine that enables intelligent insights into existing data. This can then be fed into the DQM engine for mass cleansing, standardization and transformation. The ''Stay Clean'' process is recommended for ongoing DQM.

Yes. dataZen supports all the standard master data objects for most major ERPs, CRM, Financial & other widely used applications. Cleansing can be done for reference and transactional data as well.

Yes. ChainSys is partnered with D&B and supports USPS, Google APIs and connections to other third party databases for standardization, validation, or enrichment of data.

Yes. Using front-end GUIs the Match/Merge engine allows de-duplication and subsequent consolidation process at the field level.

Yes. Data profiling is a standard data quality feature in dataZen. Results can be viewed realtime, and even catalogued for greater insight.

The catalog is a feature of the dataZense product. dataZen provides clean, profiled data that can be fed into the catalog. The catalog enables the business users to understand what dataexists, where it exists, and how it can be put to better use.

Yes. Standard business rules are included. An organization is free to add custom business rules in dataZen which will kick-in during a data request or data creation process.

dataZen features a customizable business rules engine, and robust capabilities for Data profiling, Data assessment, Match & merge, enrichment, standardization & harmonization

Yes. dataZen supports all the standard master data objects for most major ERPs, CRM, Financial & other widely used applications. Cleansing can be done for reference and transactional data as well.

Yes. ChainSys is partnered with D&B and supports USPS, Google APIs and connections to other third party databases for standardization, validation, or enrichment of data.

Yes. Using front-end GUIs the Match/Merge engine allows de-duplication and subsequent consolidation process at the field level.

Yes. Data profiling is a standard data quality feature in dataZen. Results can be viewed realtime, and even catalogued for greater insight.

Yes. Once you "Get Clean", dataZen’s “Stay Clean” process allows for continuous data cleanup, The DQM engine allows for mass cleansing, de-duplication, standardization and transformation of data. To go one step further, a governance process using dataZen’s workflow system can be introduced.

The catalog is a feature of the dataZense product. dataZen provides clean, profiled data that can be fed into the catalog. The catalog enables the business users to understand what data exists, where it exists, and how it can be put to better use.

Yes. Standard business rules are included. An organization is free to add custom business rules in dataZen which will kick-in during a data request or data creation process.

dataZen features a customizable business rules engine, and robust capabilities for Data profiling, Data assessment, Match & merge, enrichment, standardization & harmonization

Yes. If a user has made changes to transactions in dataZen, and used it to publish the data, an audit trail will be available for use.

Yes. Email notifications can be sent to users or user groups, in a customized format, to notify users of pending actions or any changes made to data.

Yes. dataZen can create a customized workflow, with multi-level approvals, across various users/user groups, and can intelligently work based on conditional logic. A workflow can be created without programming.

Yes. dataZen can enable a user to request new data through customized screens. The request can then go through an approval workflow, which can also be created and managed in datazen.

dataZen supports most widely used domains including Products, Customers, Suppliers, Financials, among others. For relatively lesser used domains, datazen has the ability to build a data model from scratch, without major programming.

Yes. If needed, dataZen can function as the single source of truth for master data. Master data can be published into subscriber applications on an as needed basis. This enhances an Organization's operational MDM capabilities.

Yes. Over 2000 adapters enable integration to a number of cloud and on-premise applications. Some of the major applications include Oracle eBS, Oracle Cloud, SAP S/4HANA, SAP S/5HANA, Salesforce, MS Dynamics, Procore.

Yes. No coding or development is required to use dataZen. All front-end GUI screens are configurable for improved UX and extensibility, and are completely self-service.

Yes. Email notifications can be sent to users or user groups, in a customized format, to notify users of pending actions or any changes made to data.

Yes. dataZen has pre-built standard screens for data creation with all standard field level validations included. Datazen has the capability to go a step further and customize the look and feel of the screen

No. The product is completely self-service. A short training should enable users to handle dataZen on their own. ChainSys resources are optional.

dataZen has been designed with the end-user in mind and features human-based design concepts. The user's knowledge and a simple 1-2 week training program will ensure ease of use.

Both are supported. BRE provides an 80% baseline to data quality. Custom rules can be added using dataZen’s low-code configurations.

Yes. More than 200+ endpoints are supported.

Yes. dataZen keeps track of all changes made. A report can be easily downloaded for audit purposes. This falls directly into an Organization's GRC requirements

Yes. dataZen supports single sign on and is compatible with tools such as Active directory, OKTA, among others

Yes. dataZen is SAP Certified, Oracle Certified, SFDC Approved, IBM Ready and MSFT Ready.

Yes. Organizations are free to create any number of roles and responsibilities within dataZen. They have the freedom to assign or restrict access for each role in dataZen. Business Rules Engine (BRE)

Yes. Data masking, data encryption is provided to ensure security. Your data is never stored or viewed by ChainSys

There are no language constraints. dataZen can handle foreign characters as well. Most commonly requested language customizations include French, Spanish, Chinese, Portuguese & Japanese.

dataZen is primarily an end-to-end MDM solution that covers almost all widely used domains. Industry specific deployment packages are also available. Some of the verticals include Manufacturing, Pharma, Engineering & Construction, e-commerce, Retail, Oil & gas, among others. Pre-configured templates ensure coverage of close to 45 domains, and 200+ applications.

Due to the template-driven approach and the repeatable process, an Organization can typically achieve 25-30% time & cost savings in the VERY FIRST run. Progressively, dataZen’s efficiency enables savings of upto 50%.

In dataZen, you only pay for what you use. The 'pay as you use' model is flexible, and does not charge users for when dataZen isn't used. The model takes into consideration data volume and number of templates to determine price.

A dataZen implementation cost is derived by factorization of data complexity, number of templates, delivery timeline and type of engagement.

Yes, the Technical or Functional Application Management service models are available during and after the completion of any engagement. Typically an on-site/offshore model would be utilized to minimize cost and maximize support coverage.

We offer discounts for data volume and early adopters. In many cases, we also have industry-wise discounts for templates.

In most cases, steady-state cost would consist of the deployed hardware/software and desired resource support cost. Other considerations include AM (which provides future product and maintenance updates at no cost). The internal support resource factorization is based on the number of users, templates and data volume.

No. The product is completely self-service. A short training should enable users to handle dataZen on their own. ChainSys resources are optional.

Datazen has been designed with the end-user in mind and features human-based design concepts. The user's knowledge and a simple 1-2 week training program will ensure ease of use.

Yes. dataZen is SAP Certified, Oracle Certified, SFDC Approved, IBM Ready and MSFT Ready.

Oracle eBS 10.x to 12.x, Oracle Cloud ERP (all versions & modules), Siebel, PeopleSoft, JDEdwards, and others

SAP RX, SAP ECCX, SAPS/4HANA, Hybris, SuccessFactors, Ariba and other SAP acquisitions are supported

dataZen is completely cloud based and requires no installation. Usage can be immediate.

Yes, the Technical or Functional Application Management service models are available during and after the completion of any engagement. Typically an on-site/offshore model would be utilized to minimize cost and maximize support coverage.

Yes. dataZen can connect to legacy applications using either pre-built or customized templates. Data from over 200 endpoints can be consolidated to perform data quality or for MDM.

Yes. dataZen's mobile application provides a user with access to critical information such as pending actions, completed actions, error logs and audit trails.

With the template-driven approach and repeatable process, an Organization can typically achieve 25-30% time & cost savings in the VERY FIRST run. Progressively, dataZeb’s efficiency enables savings of up to 50%.

Interface to publisher & subscriber applications can be performed in parallel threads, which reduces time taken to consolidate master data. In-built profiling, enrichment & de-duplication engines ensure data quality stays clean in the long run. dataZen can easily scale up to accommodate additional capacity of processors and memory. This enables high performance MDM projects to be executed reliably.

Yes. It is one of the crucial value-adds of dataZen. A one time approach (big bang approach), or a phased approach to MDM are possible. Either way, the templates ensure that the learnings gained from one increment or iteration are transferred onto the next.

A dataZen 'system administrator' should have a basic understanding of the data entities and modeling of objects in the applications involved. A typical administration task may consist of responding to a business user’s query or reviewing the system logs to assist in troubleshooting. ChainSys recommends participation in the administration training program and completing the certification process.

While every support team’s scope may vary, ChainSys recommends that typical users have an understanding of the functional data model of the objects in their ownership. ChainSys offers comprehensive training for all user roles. Trainings typically range from 1-2 weeks.

Product patches and updates are released every month and will include latest updates made by the ChainSys team and updates to the endpoint applications. Quarterly business reviews will be conducted with the customer tailored to meet their requirements.

While every support team’s scope may vary, Chain-Sys recommends that typical users have an understanding of the functional data model of the objects in their ownership. ChainSys offers comprehensive training for all users roles. Trainings typically range from 1-2 weeks.

Multiple support models exist to meet your specific needs. A 24x7 team can be available to administer and manage the product throughout any project or escalated support staff service requests. Additional premium support including on-site coordinators and additional offshore managers are available to support any engagement project phase.

ChainSys’ dataZen ensures that multiple techniques are employed for completeness of any MDM implementation. Some of the best practices include: Consolidations, Profiling, Match & Merge (de-duplication), Transformations, Pre-validations, Governance & Reconciliations.

The broad challenge areas that are usually discussed are around: Coverage of non-standard data domains, repeatable process, Data volumes, and all aspects of Data Quality. The ChainSys support team is available on hand 24/7 for assistance during and after implementations.

dataZen's design was based on a human-centric approach, with the end user in mind: giving precedence to HOW you want to use it, rather than dictating a user on how it should be used.

Yes. Data masking, data encryption is provided to ensure security. Your data is never stored or viewed by ChainSys.

Yes. Industry specific references across a wide spectrum are available upon request.

dataZen currently has completed over 500 deployments across the globe. dataZen has also been deployed by multiple Fortune 500 and Fortune 100 organizations.

dataZen has been deployed across multiple verticals including discrete manufacturing, process manufacturing, Pharmaceuticals, Engineering & Construction, e-Commerce, Retail, Oil & gas, Food & Beverages, FMCG, Universities & Colleges, among others.

Yes. For any standard template, additional business rules are recommended and configurable with no coding.

Yes. dataZense has 3000+ pre-configured adapters that enable connections to a wide range of applications. The analytics engine can parse through data across any number of applications, and report on it.

Yes. dataZense templates can manage these custom entities.

dataZense offers 25+ Chart Types including Hierarchy, Pivot Tables, Heatmaps, Geo Maps, Gantt Chart and Slicers.Chart Sub types include Regular bar, Block Matrix, Floating Bar and Multi KPI Bar

Chart views include, Horizontal Chart, Drilldown, Enable Filter prompt, Enable Log axis, Stacked, Story board, Double Y axis, show gradient, Bounce, Data markers, Pagination, enable KPI selector and Enable chart legend

Yes. This is a standard feature. Analytics in the form of data cubes is available.

DataZense offers Data Profiling, Data Extraction, Transformation, Loading into Data Lake, Data Cleansing, for Data Analytics

Artificial Intelligence and Machine Learning algorithms helps to achieve Descriptive, Predictive, and Prescriptive modelling and analytics.

Yes. a user can customize their dashboard. Dashboards can also be given pre-configured to user groups.

The catalog is a feature of the dataZense product, and is an umbrella term for multiple capabilities. The catalog enables the business users to understand what data exists, where it exists, and how it can be put to better use. Some of the critical features in the catalog include Profiling, probabilistic estimation, data registration, business glossary, data lineage, table relationships, data governance, data citizen, and more.

Datazense uses Data Profiling, Metadata management, Data Lineage, Data Virtualization, Business Glossaries and Data citizen features for the Data Catalog

Yes. Data profiling is the first step to unearthing what's hidden in your data, and translating it into usable information

Yes. Data indexing is part of the catalog. Indexing helps users search and retrieve data easily. Data can be indexed based on any pre-defined criteria that the business wishes to use.

Yes. Artificial Intelligence helps Profile unknown applications, as part of the cataloging process.

Yes. The catalog provides information on where data was created, where it has moved, and how it has transformed in the form of a lineage chart.The catalog is a feature of the datazense product.

Profiling Groups helps to connect multiple profiles together

Yes. Automated Relationship and Lineage builder helps build these relationships seamlessly.

Yes. The data citizen can also approve or reject the false positives and false negatives on relationships, and lineages.Otherwise datazense can use the AI or prebuilt business rules engines to sort this out.

Registration of the Metadata attributions for each entity and attributes within an entity. It provides a layer of detail in addition to just metadata, thus making data easier for users to access & understand.

Yes. Business glossaries can be used by a business user to easily reach the Data or Metadata.

Yes. Tags for all the Business entities and attributes are available

Yes. Artificial Intelligence can be used for the Probable prediction for each attribute

Catalog data are indexed in Solr

Yes. Automated ER Diagrams are created by dataZense to detail entity relationships across an enterprise.

Yes. Users can use the advanced search on the catalog for metadata or data

Yes. dataZense keeps track of all changes made. A report can be easily downloaded for audit purposes. This falls directly into an Organization's GRC requirements.

Yes. dataZense supports single sign on and is compatible with tools such as Active directory, Okta, and others.

Yes. dataZense can easily profile and identify what PII data exists, and where it exists across your enterprise

Yes. Data masking & data encryption is available to protect sensitive information. dataZense also provides thorough governance and workflows to ensure data does not get into the wrong hands.

Yes. Data masking & data encryption is available to protect sensitive information. Datazense also provides thorough governance and workflows to ensure data does not get into the wrong hands.

Yes. dataZense is SAP Certified, Oracle Certified, SFDC Approved, IBM Ready, and MSFT Ready

Yes. Data masking, data scrambling & data encryption is provided to ensure security at rest and in motion.

Yes. An organization can assign users and responsibilities so only those with specific privileges can Create, Read, Update or Delete information within datazensese.11111How can a user view logs, audit trails and other salient information?

Yes. Email notifications can be sent to users or user groups, in a customized format, to notify users of pending actions or any changes made to data.

Yes. dataZense's mobile application provides a user with access to critical information such as pending actions, completed actions, error logs and audit trails.

Yes. Organizations are free to create any number of roles and responsibilities within dataZense. They have the freedom to assign or restrict access for each role in dataZense.

Yes. dataZense can create a customized workflow, with multi-level approvals, across varioususers/user groups, and can intelligently work based on conditional logic. A workflow can be created without programming.

Yes. Over 3000+ adapters enable integration to a number of cloud and on-premise applications. Some of the major applications include Oracle eBS, Oracle Cloud, SAP S/4HANA, SAP S/5HANA, Salesforce, MS Dynamics, Procore.

No coding or development is required to use the tool. All front-end GUI screens are configurable for improved UX and extensibility.

Yes. APIs allow access from any portal, apart from a mobile application which enables real time monitoring.

Yes. dataZense can be customized easily to comply with your organization's color and font schemes.

No. The product is completely self-service. A short training should enable users to handle dataZense on their own. Chainsys resources are optional.

dataZense has been designed with the end-user in mind and features human-based design concepts. The user's knowledge and a simple 1-2 week training program will ensure ease of use.

datazense's design was based on a human-centric approach - giving precedence to HOW you want to use it, rather than dictating a user on how it should be used.

Yes. a user can customize their dashboard. Dashboards can also be given pre-configured to user groups.

Yes. dataZense can enable multiple users to work at the same time, performing discrete functions.

Yes, the administration module provides all necessary screens on the front-end GUI to manage the product. This includes User Access control, Instance management, Web services management, Role management and versioning system management. Further, administrative console windows allow viewing and diagnosis of the log and execution files.

Due to the template-driven approach and the repeatable process, an Organization can typically achieve 25-30% time & cost savings in the VERY FIRST run. Progressively, dataZense’s efficiency enables savings of upto 50%.

In dataZense, you only pay for what you use. The 'pay as you use' model is flexible, and does not charge users for when dataZense isn't used. The model takes into consideration data volume and number of templates to determine price.

A dataZense implementation cost is derived by factorization of data complexity, number of templates, delivery timeline and type of engagement.

Yes, the Technical or Functional Application Management service models are available during and after the completion of any engagement. Typically an on-site/offshore model would be utilized to minimize cost and maximize support coverage.

We offer discounts for data volume and early adopters. In many cases, we also have industry-wise discounts for templates.

In most cases, steady-state cost would consist of the deployed hardware/software and desired resource support cost. Other considerations include AM (which provides future product and maintenance updates at no cost). The internal support resource factorization is based on the number of users, templates and data volume.

We support all of the above data interface services. Integration can also be performed on multiple middleware platforms.

dataZense has been designed with the end-user in mind and features human-based design concepts. The user's knowledge and a simple 1-2 week training program will ensure ease of use.

No. The product is completely self-service. A short training should enable users to handle dataZense on their own. Chainsys resources are optional.

The dataZense ‘datamart’ will preferably be on a Postgres or an Oracle database. Other options are also welcome.

Oracle eBS 10.x to 12.x, Oracle Cloud ERP (all versions & modules), Siebel, PeopleSoft, JDEdwards, and others

SAP RX, SAP ECCX, SAPS/4HANA, Hybris, SuccessFactors, Ariba and other SAP acquisitions are supported

dataZense is completely cloud based and requires no installation. Usage can be immediate.

Yes, the Technical or Functional Application Management service models are available during and after the completion of any engagement. Typically an on-site/offshore model would be utilized to minimize cost and maximize support coverage.

Yes. dataZense is SAP Certified, Oracle Certified, SFDC Approved, IBM Ready and MSFT Ready

ChainSys currently has 300+ dataZense specialists working on the product.

Extracts and loads can be performed in parallel threads, which enhances performance. The product can easily scale up to accommodate additional capacity of processors and memory. This enables high performance migrations to be executed reliably.

Due to the template-driven approach and the repeatable process, an Organization can typically achieve 25-30% time & cost savings in the VERY FIRST run. Progressively, dataZense’s efficiency enables savings of upto 50%.

Yes, the administration module provides all necessary screens on the front-end GUI to manage the product. This includes User Access control, Instance management, Web services management, Role management and versioning system management. Further, administrative console windows allow viewing and diagnosis of the log and execution files.

While every support team’s scope may vary, Chain-Sys recommends that typical users have an understanding of the functional data model of the objects in their ownership. ChainSys offers comprehensive training for all user roles. Training typically ranges from 1-2 weeks.

While every support team’s scope may vary , Chain-Sys recommends that typical users have an understanding of the functional data model of the objects in their ownership. ChainSys offers comprehensive training for all user roles. Trainings typically range from 1-2 weeks.

Multiple support models exist to meet your specific needs. A 24x7 team can be available to administer and manage the product throughout any project or escalated support staff service requests. Additional premium support including on-site coordinators and additional offshore managers are available to support any engagement project phase.

Product patches and updates are released every month and will include latest updates made by the ChainSys team and updates to the endpoint applications. Quarterly business reviews will be conducted with the customer tailored to meet their requirements.

A dedicated account manager will be assigned to ensure that communication is constant and clear. The account manager works closely with a dedicated product team that works on the account.

The best practice flow is as follows: Extract -> Data Input (source datamart) -> Data Marting (target datamart) -> Transformation -> Pre-Validation -> Pre-Load Reconciliation -> DQM ->Loading -> Post Load Reconciliation -> Post Processing.

The broad challenge areas that are usually discussed are around: Repeatable process, Data volume, Data Quality, managing historical data, reconciliations, mappings and transformations. The ChainSys support team is available on hand 24/7 for assistance.

dataZense design was based on a human-centric approach, with the end user in mind: giving precedence to HOW you want to use it, rather than dictating a user on how it should be used.

Yes. Data masking, data encryption is provided to ensure security. Your data is never stored or viewed by ChainSys.

Yes. Industry specific references across a wide spectrum are available upon request.

dataZense currently has completed over 500 deployments across the globe. dataZense has also been deployed by multiple Fortune 500 and Fortune 100 organizations.

DataZense has been deployed across multiple verticals including discrete manufacturing, process manufacturing, Pharmaceuticals, Engineering & Construction, e-Commerce, Retail, Oil & gas, Food & Beverages, FMCG, Universities & Colleges, among others.