London, UK 16th September 2020 - Validata Group launches ConnectIQ, the first intelligent DataOps platform for banks and financial services, powered by AI, iRPA and machine learning to revolutionise data pipeline agility and enable banks to collect, virtualize, manage, analyse and visualise their data on demand.
ConnectIQ enables you to build 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.
It secures data pipelines, fixes the ‘Data Gap’ for QA and DevOps and enables teams to quickly and directly manage their data for a variety of use cases from end-to-end test automation, analytics, Smart Data Management and environments provisioning, to core banking transformation, cloud migration and data masking projects.
Highlights of the platform include:
- SearchIQ AI engine: SearchIQ builds natural language processing (NLP) technology and data ranking capabilities on top of the ConnectIQ platform, for faster and intelligent data search. Users can chat with their data and uncover insights from billions of rows of data and multiple sources, delivered to them in seconds. No experts or advanced training needed, even for the most complex queries.
- Built for any cloud and any data source: It is built from the ground up for the cloud, with a multi-tenant and secure cloud design. It can connect to a wide variety of data sources including Oracle, Cassandra, PostgreSQL, SQL and NoSQL databases, as well as custom data sources, and manage diverse data without sacrificing performance or agility.
- Built for scale: A platform with limitless possibilities able to bring more transparency and agility on massive data sets of any scale.
- AI Test Recommendation engine: It provides test data recommendations and best data combinations for your tests for maximum coverage reducing the overall cost of testing!
It enables you to unlock digital transformation and successfully implement DevOps and Continuous Delivery through:
- Self-service data portal: Through the portal, it makes it possible for thousands of self-service users to analyze all their data with no bottlenecks or waiting times.
- Data Masking: Leveraging advanced masking algorithms it can identify and secure sensitive information across millions of rows of data for your key applications with high performance. It seamlessly integrates masking with data delivery capabilities, ensuring the security of sensitive data before it is made available for development and testing.
- Data subsetting: Ensures the highest possible performance when extracting small, more intelligent subsets from production on which data masking techniques can be applied.
- Test Data Virtualisation: Instead of relying on complex, manual processes to control and deliver application data, data virtualization allows IT to automatically deliver virtual copies of production data for non-production use cases.
- Data Containerisation: It enables you to configure data containers for specific purposes, containing data sets and metadata with full versioning and history. The containers can be branched, while maintaining synchronization and consistency with the production data
- Synthetic Test Data generation: Creates production-like data but without the sensitive content, ensuring that no real personal data is exposed to QA and development teams.
“Delivering on the promise of AI and advanced analytics requires a handle on data that most organisations have failed to address,” comments Vaios Vaitsis, Founder and CEO of Validata Group.
“We are solving this challenge with ConnectIQ, a next-generation, AI-powered DataOps platform that manages data in today’s complex cloud environments while facilitating a self-service data portal that banks need to transform their data into business insights and value. Banks today are faced with large data volumes and complexity along with a critical business need to deliver trusted and secure data to their teams as quickly as possible to accelerate time-to-market. With reduced data provisioning times by 95% and reduced costs for intermediate storage and infrastructure, you achieve a pay-back on your investment in less than 6 months,” continues Vaios.