Data Quality

Get Clean and Stay Clean

Identify Bad Data

Data Consolidation

Data Cleansing

Data Deduplication

Machine Learning

Data Transformation

dataZen for Data Quality Management

ChainSys' cloud-based dataZen platform enables businesses to identify inconsistent and erroneous data across their applications and correct and clean them. dataZen provides you the ability to quickly cleanse data, de-duplicate it, and put in place governance and DQM measures that keep the data clean for a long time. dataZen is a robust, distributed computing platform that is reliable and scalable in nature. A user-friendly interface combined with Machine Learning and Probabilistic Data Cleaning techniques make your data quality troubles vanish.
  • 'Get Clean and Stay Clean' motto translates to high data quality
  • Built-in data profiling engine to understand the 'what' and 'where' of data
  • Data consolidation across multiple applications for holistic data quality management
  • Enrichment using third party data streams like Dun & Bradstreet or USPS
  • Add custom data quality rules with no code
  • Supports 200+ Applications including Oracle, SAP, Microsoft, Salesforce and others
  • Scalable to 1 billion records
Trial / Demo

Featured Clients

75% of the project failures are due to data migration/data quality issues

Oracle Corporation

Chain-Sys delivers ready-made templates that provide accelerated data conversion and ensures data quality for ERP applications to compress delivery times and slash project costs.

Charles Massoglia, CIO – ChainSys Corporation

Trusted, high-quality data is a core requirement for enabling a digital business. Unless information leaders get this right, they will be unable to take full advantage of new information-driven opportunities.

Gartner

Valid Use Cases

  • Identify bad data and fix them for multiple domains including customers, vendors, items, accounts equipment etc.
  • Identify bad data using Machine Learning (ML) profiling techniques.
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Benefits

  • Clean "Single Source of Truth" data can be synchronized with ERP, PLM, CRM, and EAM Systems with ChainSys Smart Data Adapters.
  • Drag and drop configurable workflow to accommodate data governance and other data quality needs.
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Differentiators

  • Templates based rapid data quality improvement approach for Oracle Cloud Applications, E-Business Suite, SAP S/4, C/4, ECC, Salesforce, MS Dynamics, Workday and more.
  • Business rules engine for complex routing of data.
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Case Studies

Chainsys Smart Approach for "Get Clean"

Current Platform
Other ERP and Non ERP Applications
Identification
Data Profiling
Identify data issues
Erroneous Data
Algorithms to identify incorrect or irrelevant data
Inconsistent Data
Automated business rules to determine data accuracy
Incomplete Data
Automated rules to identify missing required attributes
Duplicate Data
Identification of duplicate records
Data Correction
Data Merging
Eliminate duplicate data using match & merge
Erroneous Data Cleansing
Automated business rules to cleanse and streamline
Data Standardization
Gain a more accurate, actionable data in common format
Data Enrichment
Refining your records with data enrichment for a 360 degree view
Loading & Verification
Data Validation
Check for acceptance of new/modified data by the target Application
Data Loading
Load qualified data into Single Source of Truth and other Consumer Applications
Smart BOTs
Automated testing
Reconciliation
Provides both technical and functional reconciliation between source and target
Current Platform
Other ERP and Non ERP Applications

Chainsys Smart Approach for "Stay Clean"

Current Platform
Other ERP and Non ERP Applications
Identification
Data Assesment
Identify and act on insights faster
Data Patterns
Algorithms to extract knowledge and insights from data
Erroneous Data
Algorithms to identify incorrect or irrelevant data
Duplicate Data
Identification of duplicate records
Inconsistent Data
Automated business rules to identify data inaccuracy
Incomplete Data
Automated rules to identify missing required attributes
Remediation
Data Merging
Eliminate duplicate data using match & merge
Data Cleansing
Automated business rules to cleanse and streamline
Data Standardization
Get data across systems into a common accepted format and standard
Data Enrichment
Refining your records with data enrichment and make them suitable for a 360 degree view
Loading & Verification
Data Validation
Data is pre-validated before it is applied into the Current Target Application
Data Loading
Data Loading using Smart Data Adapters. APIs/RFCs/BAPIs and Web Services (OData)
Smart BOTs
Bring quality to the center, by having all your testing automated
Reconciliation
Provides both technical and functional reconciliation
between source and target
Current Platform
Other ERP & Non-ERP applications

Demonstrations

Data Assessment & Data Quality

Data Profiling

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.

Data Consolidation (Match and Merge)

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

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.

Data Enrichment

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 Audits

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

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.

Data Consolidation (Match and Merge)

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

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.

Data Enrichment

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 Audits

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.

Data Migration

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 based on business needs.

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.

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 based on business needs.

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.

Data Validation & Functional Testing

Pre-Load Validation

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.

Post-Load Validation

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.

Post-Load Functional Testing

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.

Reporting and Dashboards

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.

Functional Testing

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.

Pre-Load Validation

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.

Post-Load Validation

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.

Post-Load Functional Testing

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.

Reporting and Dashboards

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.

Functional Testing

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.

Top 50 Reasons dataZen Can Work for You!

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 Adapters 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.

Accelerators

Helps to do it faster
  • Standard Data Models
  • Standard Business Rules
  • Request Process Workflows
  • Data Quality Process Workflows
  • Data Governance Process Workflow
  • Data Approvals
  • 50+ Domains

Proven Solution

Battle tested and approved solution
  • 50+ Endpoints Supported
  • SAP Certified
  • Oracle Certified
  • SFDC Approved
  • IBM Ready
  • MSFT Ready
  • Certification Connection Methods
  • 22+ Years of Product Innovation and Investments
  • Joint Development Partnerships

Enterprise Ready

Can scale to support large enterprises
  • Customize & Configure Domains
  • Data Collections
  • Data Assessment
  • Data Profiling
  • Match and merge
  • Data Cleansing
  • Data Enrichments
  • Data Standardization
  • Legacy Applications Ready
  • Robust Logger

Innovation

Technology Leadership
  • Industry Focused Solution
  • Artificial Intelligence applied for Identifying Bad Data and Repairing them.
  • Application Focused Solution
  • Built-In 20+ Standard Domains
  • Simplified Workflows
  • Project Management, Project Execution, Project Collaboration, Time Management, Budget Management, and Service Requests handled for Data Management projects in a single platform.
  • CLOUD First
  • Mobile First
  • No Programming / Low Code
  • Integration Monitor
  • Big Data Ready

Smart Features

Why didn't I think of that / doing it better ?
  • Multi Domain Application
  • Built in Integration Engine
  • In-Built Data Harmonization and Standardization engines.
  • AI based Data Cleansing algorithms available.
  • Automatic Testing Engine / BOTS
  • Built-in Data Lineage for MDM Objects
  • Build Taxonomy
  • Golden Hub
  • Bulk Upload and Update
  • Matrix Approval ready
  • Business rules driven data transformation.
  • Built-in Reconciliation to clear Audits easily.
  • Pre-Validation before Loading the data.
  • 25+ Chart Types are available including Hierarchy, Pivot Tables, Heatmaps, Geo Maps, Gantt Chart and Slicers for showcasing the Data Migration dashboards.
  • Chart Sub types includes Regular bar, Block Matrix, Floating Bar and Multi KPI Bar
  • Release & Configuration Management with GitLab and SVN

Usability

Business user and administrators (architects and system admins) usability
  • Get Clean Process
  • Keep it Clean Process
  • Self Service Application
  • Standard Screen Layouts
  • Open Training
  • Notifications
  • Quarterly Product Releases
  • Built in Project Management Capabilities
  • Fact based decisions can be taken swiftly.
  • Smart User Interface for viewing the Data Quality results.
  • Business users can confidently work with the dataZen Platform.
  • No need for High Cost Consulting resources.
  • Customer centric design approach.
  • Improves collaboration between Business, IT, System Integrator and Data Partner.
  • Business can centralize, execute and control the Complex Projects easily.
  • Business can use this Platform for effective collaboration across Projects and Tasks.
  • Data Quality projects can be handled very transparent.
  • Cloud First. Instant mobility.
  • Native mobile apps experience

Security

Data, users and application security
  • Data Security (At rest and motion)
  • Single Sign on (AD, On-prem and Cloud)
  • Access Control Management (Users & Groups)
  • Self-Contained User Management
  • Access Control to the Data Migration objects by user or user groups (Roles).
  • User management dashboards to review all User Logs and usage
  • Roles Based Access Control (Privileges)
  • Data Encryption Capability
  • Data Masking Capability
  • Operational Security (Record Level)
  • Auditing and Logging

Smart Team

We are ready to help you!
  • Flexible Pricing models
  • Digital Asset Management and Data Quality as a Service
  • Data Design Factory
  • 400+ Data Specialists, for various applications including SAP, Oracle, Workday, SFDC, Microsoft and many more.
  • 24 X 7 Global Product Support
  • Quarterly Business Reviews
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