ConnectIQ

Real-time, intelligent and cloud-native DataOps platform for Financial Services and Banking

ConnectIQ is a cloud-native, Connected Intelligence DataOps platform for banks and financial services organisations - faster, more scalable and more privacy-conscious, which accelerates data delivery, facilitates secure data sharing and data exchange and enables rich data insights with data integrity at the core, for on-prem, cloud, and hybrid architectures.

It connects and integrates banking data and other data sources, unlocking the potential of the organisation’s real-time data for making faster, smarter decisions. It embodies genuinely new concepts about data and it’s the first DataOps platform to treat data-as-code and as-a-product.

The platform is easy to use, easy to scale up, easy to clean up your data and automate your enterprise pipelines without a single line of code required, collect, curate and deliver ETL /ELT management and reconciliation of data for financial products – data analytics, packaged with metadata, models, code, documentation and access controls – so that’s easily located, assessed, controlled and consumed.


Why Validata ConnectIQ is different and better?
ConnectIQ empowers banks to unlock more value from their data and become data-driven businesses. It enables you to build and maintain automated pipelines for your organization’s data and analytics competency for digital transformation success, as data and analytics are the key enablers of an organization’s digitization and transformation efforts.


Includes core capabilities such as...
Data virtualization
Synthetic data generation
Automatic identification of sensitive data and data masking
Data extraction, loading and advanced ELT integrations
Data cleansing and deduplication
Data Governance, Intelligent data lineage & impact analysis
AI product Recommendation engine
Self-service booking engine for environments management
Data Insights
Making it ideal for a variety of use cases...
Cloud Migration
Data migration from on-premise to cloud or between clouds
Data Masking
to support regulatory compliance
Upgrade projects
data transfer to new platforms or new software versions
Agile Test Data Management
Test data management for DevOps
Data Archiving and Data Governance
AI and Analytics
Unlock value and insights from your data to drive customer engagement
ConnectIQ is built on industry – leading cloud infrastructure and microservices architecture

Built for any cloud
A platform built from the ground up for the cloud, with a multi-tenant and secure cloud design. It enables cloud data protection to ensure your data are secured and kept safe. Cloud-native, advanced technology for end-to-end Virtual Test Data Management and faster access to data 
Built for scale
A platform with limitless possibilities able to bring more transparency and agility on massive data sets of any scale and across any number of data sources, in a fraction of a time.
API-first
It is an open platform providing a set of APIs enabling connectivity to a wide variety of data sources including Oracle, Cassandra, PostgreSQL, SQL and NoSQL databases, as well as custom data sources. It is able to manage diverse data – structured, unstructured or semi-structured without sacrificing performance or agility.
Infused with AI and machine learning to fuel your data lakes, BI Initiatives
It leverages AI, ML-augmented data algorithms, natural language processing (NLP) for faster and intelligent data search, better recommendations and smarter decision-making. With its SearchIQ AI Engine, It is able to uncover insights from billions of rows of data and multiple sources and delivers them to you in seconds. No experts or advanced training needed, even for the most complex queries.
Code-free /Ease of use
Drag-and-drop workflow elements enable business users to build complex data pipelines and audit their work, without writing a single line of code.
Model-driven
The platform can automatically generate data models, stores all data assets in a central data catalog and self-updates them against changes. The Data Catalog has built-in integration with widely used data platforms and combines advanced features, such as self-generating topic extraction, taxonomy generation, semantic discovery, knowledge graphs and automated cataloging and pattern mapping driven by machine learning.
Normalised data model
Built with normalized and dimensional modeling techniques, it extracts and self-updates metadata and production data from your applications, and creates a normalised database for faster data querying and filtering.
Data-Centric Trust
ConnectIQ secures data for extreme data integrity. Identifies and masks sensitive information to comply with regulations such as GDPR, etc. Also brings people, tools and data together in secure virtual environments promoting collaboration while ensuring data governance and control.
Traceability/ Time
Keeps track of traceability of changes with version control. “Time Travel” allows you to issue queries against any moment of time and instantly retrieve the data as of that instance
Semantic Interoperability
Exchange information with shared meaning through the use of universal standards. Data arrives pre-packaged with self-described context, and data consumers can derive meaning from that data through a controlled, shared vocabulary
Data-Centric Security
Data-centric security is at the data layer, emphasizing on the security of data rather than on the application level for better collaboration, compliance, and governance. This approach protects from potential data breaches and saves time in managing identity/access across the enterprise.
Secure Data Sharing, Self-service access
Provide secure and direct data access to every data consumer in your company. Data can be shared and reused across different models and pipelines. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.



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By introducing DataOps techniques in a focused manner, data and analytics leaders can affect a shift towards more rapid, flexible and reliable delivery of data pipelines.

DataOps has emerged as a response to increasing demands from data consumers around the speed, agility and reliability of data delivery.
Gartner
Reduce data footprints by
50x
Provision data faster by
100x
Leveraging data virtualization technology, ConnectIQ holds a single copy of your production data that is continuously updated, and can then provision complete virtual copies of this data as required.

A single ConnectIQ database copy can easily create any number of virtual zero-byte database copies on demand, eliminating the many physical copies previously held in datacenter storage.

With ConnectIQ a new virtual clone can be available in less than 5 minutes. It looks at your existing datasets and uses AI to automatically create synthetic data for missing data combinations, for data virtualization or excess scenarios on demand. Endless amounts of data can be created based on a small sample of the real data, making it an ideal solution for diverse Testing & Development use cases, as well as for use across the enterprise.
This translates into 5-10 million USD savings in storage costs over four years, and reduction in admin overhead for managing data!


Sharing Data Securely

With secure, multi-tenant data sharing capabilities, it automatically masks and shares data to downstream environments for AI and Analytics. Data can be shared and reused across different models and pipelines. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.

Enabling this automatically ensures your data is secure across the enterprise, minimizes data risks, and ultimately protects your business.

Pre-built Integrations
ConnectIQ supports frictionless integrations with third-party data and seamlessly integrates with test automation tools (Validata Sense.ai, Micro Focus Quality Center, etc ) and DevOps tools such as Jenkins, Azure DevOps, etc so that data can be automatically provisioned across, addressing the data friction in the CI/CD process.
It integrates out of the box with Validata Service Virtualisation, feeding data directly and securely to service virtualization engine, closely linking test data with virtual endpoints. Test data can be sliced per test requirements or generate new data as per test requirements. Test data are always aligned with requirements and are automatically synching with changing test requirements.

Benefits

Get rid of manual data engineering!
Make Data Easy to Find, Understand and Use
Simplify DataOps With Automated Data Pipelines
Improve Collaboration and Sharing
Eliminate Redundant Work With Custom Data Products
Reduce Storage, Infrastructure Costs and Admin Overheads
Discover Insights and make AI-assisted, Data-driven Decisions

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