Data Governance.

Data governance for increased trust

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360 view
of the business

Unify and normalize fragmented data by business entity for easy access to quality data

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Security without compromise

Encrypt and mask data at the business entity level for maximum data privacy and security

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Real-time access, under full control

Provide consuming applications with access to the the data they need, when and how they need it

Data governance is getting harder

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Enterprises face a wide range of challenges in setting up a centralized, well-governed data management architecture.

Governance of fragmented data
As companies grow, so does the number of disparate applications and data sources. Each data source or consuming system has its own data governance and security rules, and none are shared across the enterprise.

Cross-company data inconsistencies
Many departments within an enterprise use their own tools and services to access and update data from enterprise business applications. This creates information inconsistencies, complicates data usage data lineage analysis, and results in a lack of trust in the data. 

Everyone needs to access data
Data needs to be easily accessible by all data consumers, in any method (ETL, streaming, messaging, and so on), in a secured and controlled manner that ensures ethical use. 

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Data governance done right - by business entity

Data governance is integral to the K2View Data Fabric.

The operational data fabric quickly reorganizes fragmented data in a smart, unified way that starts with a Digital Entity. A customer digital entity, for example, is the data schema that unifies everything a company knows about the customer – including all interactions, transactions, master data, and collected insights.

K2View Data Fabric ingests, transforms, enriches, and orchestrates a business entity's data from relevant systems and stores the data into a patented, high-performance Micro-database – one for every instance of the business entity. Every micro-DB (and there can be hundreds of millions of them) is managed within the data fabric, and is individually governed, and encrypted with its own unique key.

Data Fabric provides consuming applications with secure access to its business entity data through tokenized web services that are rapidly created, tested, and deployed.

Sustainable data governance

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K2View's data governance tools and patented data model ensure data availability, usability, integrity, and security for the enterprise.

Data governance not only improves the trustworthiness and quality of the data, it also fuels key business initiatives and assures regulatory compliance.

Customer-centric industries, such as financial services and healthcare, are under intense pressure to protect the privacy of their customers’ data. To make matters even more complicated, different countries and states areas are enacting specific data protection laws, such as GDPR, CCPA, LGPD, etc.

For all these reasons, data governance has become a key business need for data-driven enterprises, and is built into the K2View Data Fabric.

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Data privacy is a key consumer concern

While customers expect that their sensitive information be protected, enterprises are amassing huge volumes of customer data, from many different sources.

To manage all this data, and comply with a continuously growing number of industry and government regulations - such as GDPR, CCPA, and LGPD - companies must be able to quickly identify, and control access to an individual’s personal data. 

With an interactive Data Catalog for managing metadata, data teams can trace personal information, from application to customer data sources.

K2View data governance tools also include a Data Privacy Management module, capable of automatically processing DSARs (including data access and updates), adapting to new privacy laws with simple configuration changes, and complying with any emerging legislation, easily and non-invasively.

Key data governance tools and capabilities

  • Holistic data governance applied by business entity
  • Automated data discovery
    and seamless data integration
  • Dynamic data masking protects customer's personal information
  • Data encryption applied with a unique key per business entity instance
  • Rule-based data quality remediation and workflows
  • Data lineage analysis and metadata management
  • Tokenization of web services for access control management
  • Data usage and active metadata analysis across the data fabric

Find out more about
our data governance tools