Data Enablement
Data enablement is all about making the most out of the data you have, by making it actionable, accessible and understandable. As businesses continue to navigate the complexities of the digital age, embracing data enablement, as a core strategy will not only unlock the hidden value within their data repositories but also empower them to thrive in an increasingly data-driven world.
your operations with AI-powered data automation
Challenges
• Many organisations still operate on legacy systems, making it difficult to integrate with modern data platforms.
• Data silos exist across different departments making seamless data exchange challenging.
• Inconsistent data formats and structures across different systems hinder integration efforts.
As the volume of banking data grows exponentially, legacy systems struggle to scale efficiently. Managing, storing, and processing vast amounts of structured and unstructured data leads to performance bottlenecks and increased costs.
• Poor data quality (incomplete, inconsistent, or duplicate data) leads to incorrect decision-making.
• Lack of standardized data governance frameworks across the organization.
• Difficulty in maintaining a single source of truth across various systems.
• Legacy systems struggle with real-time processing.
• High latency in data movement between transactional systems and analytical systems.
Multiple data environments are required (development, testing, production, reporting, etc). However, this means environment inconsistencies and high maintenance, storage costs, provisioning delays, and integration issues that slow down data accessibility and agility.
One platform to unify all your financial data
ConnectIQ is a next-generation data enablement platform built on industry – leading cloud infrastructure and microservices architecture and supports SQL and NOSQL databases. It gives organizations a continuous data delivery solution, eliminating data silos and enabling visibility, data governance, data sharing and collaboration for on-prem, cloud, and hybrid architectures, with demonstrable ROI, increased DevTest productivity and significant cost savings.
ConnectIQ serves as both a data integration and data engineering solution by providing an end-to-end framework that not only moves data but also prepares it for downstream consumption. It ensures that data is not only transferred between systems but is also transformed, enriched, and normalised to serve your organisation’s operational and analytical needs
It is easy to use, easy to scale up, easy to clean up your data and automate your enterprise data pipelines without a single line of code required.
It can transform the way you manage high-volume, diverse datasets—ensuring a future-ready data foundation that adapts to evolving business needs.
Normalised Data Model
ConnectIQ is built with normalized and dimensional modeling techniques. It extracts and self-updates metadata and production data from your applications, and creates a normalized database for faster search and querying, making your data accessible and understandable to populate data lakes, business intelligence, collection systems etc., as well as for testing and development.
Secure Data Sharing
It provides secure and direct data access to every data consumer in your organisation. Data can be shared and reused across models and pipelines. Developers can branch data alongside code branches, while testers can bookmark and share data with developers to resolve issues faster.
Sync with any data source
ConnectIQ works across all clouds and apps, synchronizing with data sources to capture a complete record of data changes.
- Non-disruptive, continuous synchronisation
- Connect to any system, production, databases etc
- Efficiently and securely store data with 100x space efficiency
Proven ROI
Game Changing Features
ConnectIQ can connect, consolidate and aggregate data from multiple sources in real-time. It combines all data integration elements—real-time data flows, transformation, synchronization, data quality, and data automation —to make sure that the information is accurate and consistent across applications.
It can feed business intelligence (BI), reporting, and analytics platforms by ensuring that clean, normalised, and timely data is available for decision-making.
A single ConnectIQ database copy can easily create any number of virtual database copies on demand, eliminating the many physical copies previously held in datacenter storage. With ConnectIQ a new database clone can be available in less than 5 minutes.
Virtual data can be accessed at any time for testing, can be bookmarked and retrieved to meet audit requests, and rewound to reconcile errors. This results in significantly improving stress testing coverage, optimize business risks, and extract the maximum efficiency out of their capital.
The platform has native database functionality to support data subsetting and ensure the highest possible performance when extracting small, more intelligent subsets from production. Data sets can be re-winded, refreshed and shared at any point in time. Subsets of data can be right-sized by testing type. For example, a different sized subset might be required for UAT testing as opposed to integration testing.
The platform’s Data-as-a-Service capabilities are uniquely capable of:
- Delivering full and scalable virtual copies of production data on demand. No more hold up with the Dev team waiting for data!
- Building a single systems integration environment to ensure integration testing is possible. to different teams.
- Making parallel copies of identical data that is easy to share between members of the team to facilitate collaboration.
Data can be masked and secured in just minutes mitigating the risk of data breaches while reducing the cost of compliance to the business.
It features a data profiling functionality to understand the complex table structures and metadata formats used in the core banking application enabling users to automatically identify those fields that contain sensitive data values.
Leveraging masking algorithms which do not require programming or reliance on administrators and technical resources, ConnectIQ irreversibly masks unstructured as well as structured data to ensure consistency across multiple data sets. It also offers dynamic data masking capabilities on real-time data masking of production data, while no physical changes to the original production data take place. It provides lineage against masked data and allows you to see where data has been masked as it flows through the enterprise.
The platform leverages advanced data crawling techniques to efficiently collect and process large volumes of data from different sources:
- Automated high-performance, real-time data collection from various online sources with high accuracy and efficiency.
- Advanced processing of collected data to uncover patterns, trends, and valuable insights.
- Transformation of raw and unstructured data into clean, business-readable and easily manageable datasets.
- Real-time conversion of processed data into comprehensible visual representations and analytical reports.
Benefits
The platform enhances data accuracy, consistency, and completeness by implementing standardized governance frameworks. It provides a single source of truth for all data consumers, reducing errors and ensuring reliable decision-making.
Built on a powerful cloud-based infrastructure, ConnectIQ efficiently manages structured, semi-structured, and unstructured data. Its high-performance capabilities allow businesses to scale seamlessly without performance bottlenecks, reducing costs and improving data processing speeds.
With real-time data synchronization, ConnectIQ reduces latency in data movement between transactional and analytical systems. Virtual database copies can be created in under five minutes, allowing for quick access to relevant data for business intelligence and reporting.
Organizations using ConnectIQ can achieve up to a 7X return on investment through operational efficiencies and defect reduction. Additionally, the platform enables $5-10 million in storage savings over a four-year period, reducing the costs of managing data environments.
ConnectIQ provides strong security measures, including role-based access control, environment tracking, and test environment relationship management. Teams can work with secure, permission-based access, ensuring data integrity and compliance.
Designed to support hybrid, on-premise, and cloud architectures, ConnectIQ adapts to evolving business needs. Its scalable and automated infrastructure ensures that organizations can continue innovating without being constrained by outdated systems.
