Benefits of Data Insights Platform

Benefits of Data Insights Platform

  • Maximizing the use of data which enables better corporate decision-making.
  • Better customer service and discovering new business opportunities.
  • Regulatory compliance.
  • Improved Business ROI.
  • Greater data quality with Improved data understanding and Operational efficiency.
  • Reduced data management, data processing time, and storage costs.
  • Fewer security violations due to enhanced governance role permissions on proper handling of data assets.

Business Role Benefits

Executives

DIP solution helps become a digital enterprise, reducing the business cost and complexity of data governance and compliance reporting. It also helps improve customer experience and creates new products and business models. Insights dashboards support making strategic decisions in real-time and drive exponential impact for your enterprise.

Technical Users

It is a user-friendly tool for your team to use as it is SSO-enabled, fully secure and encrypted, scalable, compliant with GDPR, integrable in your tech stack, staffed 7 days/week with the required support.

Business Users

Creating data values with a certain discipline and absolute accuracy would ensure that all the data values are precise. Clean precise data is a reliable and productive way to make the right strategic choices and plans and boost revenue, which can lead to improved profitability of the company.

Our Data Insights Platform Capabilities

AMURTA’S Data Insights Platform allows users to define, track, manage the business attributes, and the data assets – enabling collaboration and knowledge sharing across the enterprise. The solution also includes data integrity capabilities to conduct data quality checks like data profiling, completeness, accuracy, timeliness, and conformity to ensure you have accurate, reliable, and trustworthy data at your fingertips.

DIP offers automation of regular improvement of data quality rules and applies machine learning algorithms for analytical insights that support critical business decisions. The solution can be deployed on cloud or on-premise to implement a data operating model that is suitable for your organization.

Data
Onboarding

DIP’s built-in dynamic ingestion framework helps handle high volume, complex data structures to onboard data and drive the data discovery process.

Data
Assets

Define the processes and controls to manage all aspects of data in a single pane view.

Data
Quality

Manage the accuracy, validity, timeliness, completeness, and consistency of data in systems with AI-driven data quality engine.

RDM
& MDM

Drive the standardization and optimization of data with Reference Data Management (RDM) and create a single-view-of-the-customer using the Master Data Management (MDM) capabilities.

Governance
Stewardship

Review, curate, control the data, and engage with data owners to operationalize the governance process.

Business
Glossary

Define complex technical terms, rules, and regulations critical to your business processes to ensure everyone in your organization operates from a shared language.

Policy Engine
& Automation

Easily automate governance and compliance tasks by adopting international privacy standards with our easy to define, user-friendly UI.

Operational
Metrics

Data quality, governance, and operational metrics are provided to review the overall data governance process in one place.

Orchestration
Engine

Enables automation, validation, workflow, data reconciliations and controls where appropriate in the curation process.

Interoperability

Onboard data easily from enterprise applications including SAP, Oracle, JD Edwards, or Cloud-based SaaS applications like Salesforce, Workday, or from other data sources such as unstructured data, text files, Excel, CSV files, etc.

DIP Case Study

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Learn how our leading Banking Customer realized their vision of Improving their Data Quality & Compliance with Regulatory Requirements.

Learn how our leading Banking Customer realized their…
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Master Data Management Case Study

Explore how our Master Data Management has helped…
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EMPOWER

Your Enterprise Data With Amurta's MDM Lite
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EMBRACE

Your Enterprise Data With Amurta's DIP
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DIP Modules

  • Business Glossary
  • Data Assets
  • Orchestration Engine
  • Governance Stewardship
  • Administration
  • Data Metrics
  • Policy Engine
  • Reference Data Management
  • Governance Intake Process
  • Data Onboarding
Business Glossary

Business Glossary

It is a list of defined business terms with their definitions. It defines the business concepts of an organization or the industry and is independent of any specific database. All of this information is synthesized and arranged by the DIP application in a standard format that can be easily searched for and handled and made accessible in the application.

Data Assets

Data Assets

A Data Asset is a customized set of critical data elements (CDE) from the existing Business Glossary critical data elements or can be imported from the local system. Data Assets sub-module allows users to upload, store, manage all the critical data elements (CDE) in one place in the form of digital assets, from one single source. It typically enables users to access data assets anytime, anywhere. Backup and synchronizing are done regularly to ensure all the data is secure and protected.

Orchestration Engine

Orchestration Engine

DIP Orchestration Engine coordinates the sequence of configuring the source details, mappings, data quality validation rules, and data quality dimensional weightage. It allows the user to point corresponding data assets to the data source and assign source columns to their selected CDEs. It also helps the user to define the process flow and determine the dimensional weightage.

The Orchestration Engine has five sub-modules. They are:
  • Data Source Configuration
  • Rules Management
  • Source Configuration
  • Data Quality Dimensions
  • Asset Log
Governance Stewardship

Governance Stewardship

DIP is the perfect enterprise solution for managing and curating erroneous data and engaging with data experts.

Administration

Administration

DIP Administration module provides the role-based access rights to the users. It helps the administrator in managing the user, governance role, and organizational hierarchy configuration based on the permissions assigned to them and prevents unauthorized users from accessing the data irrespective of them.

Data Metrics

Data Metrics

DIP Data Quality Metrics module displays the visual representation of the data trust index score of all the critical data elements categorized by the data quality dimensions for the selected data asset which helps the user to identify, summarize and analyze the information per each data asset. It also provides information about valid and invalid results.

The gauge chart displays the trust index score of the selected data asset indicating the reliability of the data. The dashboard generates reports based on the filter selected by the user.

Policy Engine

Policy Engine

DIP Policy engine module enables organizations to implement the policies based on the initialization of sustainability discourse either by self or by some instruction of the regulatory institution.

Reference Data Management

Reference Data Management

Reference Data Management (RDM) provides the processes and technologies for recognizing, harmonizing, and sharing relatively static data sets for “reference” by multiple constituencies (people, systems, and other master data domains).

Governance Intake Process

Governance Intake Process

Governance Intake process is an accountability framework to ensure appropriate behavior in valuation, creation, use, of information or policies.

Data Onboarding

Data Onboarding

DIP’s built-in dynamic ingestion framework helps handle high volume, complex data structures to onboard data and drive the data discovery process.

Business Glossary

It is a list of defined business terms with their definitions. It defines the business concepts of an organization or the industry and is independent of any specific database. All of this information is synthesized and arranged by the DIP application in a standard format that can be easily searched for and handled and made accessible in the application.

Data Assets

A Data Asset is a customized set of critical data elements (CDE) from the existing Business Glossary critical data elements or can be imported from the local system. Data Assets sub-module allows users to upload, store, manage all the critical data elements (CDE) in one place in the form of digital assets, from one single source. It typically enables users to access data assets anytime, anywhere. Backup and synchronizing are done regularly to ensure all the data is secure and protected.

Orchestration Engine

DIP Orchestration Engine coordinates the sequence of configuring the source details, mappings, data quality validation rules, and data quality dimensional weightage. It allows the user to point corresponding data assets to the data source and assign source columns to their selected CDEs. It also helps the user to define the process flow and determine the dimensional weightage.

The Orchestration Engine has five sub-modules. They are:
  • Data Source Configuration
  • Rules Management
  • Source Configuration
  • Data Quality Dimensions
  • Asset Log
Governance Stewardship

DIP is the perfect enterprise solution for managing and curating erroneous data and engaging with data experts.

Administration

DIP Administration module provides the role-based access rights to the users. It helps the administrator in managing the user, governance role, and organizational hierarchy configuration based on the permissions assigned to them and prevents unauthorized users from accessing the data irrespective of them.

Data Metrics

DIP Data Quality Metrics module displays the visual representation of the data trust index score of all the critical data elements categorized by the data quality dimensions for the selected data asset which helps the user to identify, summarize and analyze the information per each data asset. It also provides information about valid and invalid results.

The gauge chart displays the trust index score of the selected data asset indicating the reliability of the data. The dashboard generates reports based on the filter selected by the user.

Policy Engine

DIP Policy engine module enables organizations to implement the policies based on the initialization of sustainability discourse either by self or by some instruction of the regulatory institution.

Reference Data Management

Reference Data Management (RDM) provides the processes and technologies for recognizing, harmonizing, and sharing relatively static data sets for “reference” by multiple constituencies (people, systems, and other master data domains).

Governance Intake Process

Governance Intake process is an accountability framework to ensure appropriate behavior in valuation, creation, use, of information or policies.

Data Onboarding

DIP’s built-in dynamic ingestion framework helps handle high volume, complex data structures to onboard data and drive the data discovery process.

Testimonials

WHAT PEOPLE ARE SAYING ABOUT AMURTA

“As a data quality tool, Data Insights Platform will allow us to, over time, ensure that we have accurate and complete data stored in our central depository. More importantly, through the use of Data Insights Platform it forces our colleagues to understand the importance of keeping good quality data to get the accurate data-driven insights.”

Senior Vice President

DBS Bank

"Eventually, all our divisions will be accessing the same data from a single repository. From the data analytics team to finance, risk management, operations and even our branch network, everyone will be using it.”

Head of Data & Analytics

One of the largest banks in Indonesia

For More Information Contact Us

Connect with us to learn how Amurta can help your enterprise with our Data Governance Platform.