In this era of Digital Transformation, data has emerged to be the world’s most valuable resource, as also famously quoted “Data is the new Oil”. But, just like oil, raw and unrefined data is not usable and valuable by itself, thereby the value is only created when it is collected completely, accurately, consistent with other relevant and related data, and made available in time to become meaningful information for any business decisions, analysis, reporting, and compliance needs.
How much sophisticated the data management technologies and simple or complex the end-use cases of data may be, enterprises continue to still grapple with data inconsistencies, including incomplete data sets and manually maintained or enriched data. The added complexities of multiple business units, multifaceted organizational structures, varied and unclear ownership and responsibilities to attest data to be complete and accurate in a timely manner create operational challenges & overheads for enterprises.
Fintellix Data Curation Platform has been developed to address such gaps in the enterprise data management framework. The platform is designed to help enterprises effectively manage and govern their data assets, empowering the business users to be the gatekeepers with clear ownership and accountability for data completeness, accuracy & timeliness, supported with necessary effective functions and automation.
Ingest data and assign data owners, who, on an ongoing basis can monitor quality, cleanse, enrich and attest data, and thereafter the curated data can be consumed by various downstream data stores or applications, including reports and ad hoc analysis.
Establish clear ownership and accountability for data completeness, accuracy, and timeliness by empowering the business users to own and attest to their data.
Automation through configurable rules for validation, cleansing, and enrichment, configure to run on schedule or on-demand.
Streamline all data curation activities with configurable workflows, business calendar, alerts & notifications, and user queries.
Manage data structures, relationships, business definitions, and metadata. Define multiple business views on the data sets as per business needs and access authorizations.
Role-based access management and authorizations. Set up permission schemes and roles to govern user’s access to functionalities, artifacts, and data.
Define data validation rules through a formula-based expression editor with support for a comprehensive list of functions and grammar.
Define data cleansing rules for automated data corrections and configure them to run per schedule or on-demand.
Define conditions through formula-based expressions or decision tables to derive values for attributes (dimensions or metrics) at the lowest level of granularity.
Access data through authorized business views & enrich data through online edits or file uploads. Unified view of data and validations to assess the quality and make necessary corrections & enrichments.
Graphical Workflow Process Designer conforming to BPMN 2.0 specifications. Set up multi-level workflow with support for conditional flows, branching & parallel user or system tasks. Tasks Dashboard for users to track and manage their tasks.
Configure alerts and notifications across multiple business functions such as business calendar, workflows, user queries, broadcast or push notifications to ensure users are sent timely reminders of the events and their tasks.
Set-up Calendar for all business events including assignment of the associated workflow process, event dates, user roles & reminders.
Configure topics and sub-topics for types of queries that can be raised through the system with necessary access controls and assigning ownerships. Raise and respond to user queries and requests.
Pre-built dashboards and reports to monitor the quality of data & track the progress of various processes and activities or build your customized reports to get deeper insights into your data and metadata.
Create visual interactive representations of data with a simple to use drag and drop user interface.
Unified view of all data structures, attributes, related and relevant datasets, data quality rules, cleansing rules, enrichment rules, linked workflows, and data owners and consumers.
Establish governance with well-defined ownership and accountability for data assets and ensuring data completeness, accuracy, and timeliness by empowering the business users to own and attest to their data.
Gain full control over the quality of the data and establish trust by configuring data validation rules, associated rules, and processes for correction, enrichment, and attestation of data ensuring completeness, accuracy, consistency, and timeliness.
Manage and integrate manually maintained data into the data ecosystem through file uploads or online data edits, validations to ensure quality, approval workflows for attestation, progress tracking & reporting to ensure timeliness.
Maximize automation through the user-friendly interface to define rules & schedules to auto validate, correct, and enrich data.
A platform built for Scale and Performance, designed on Microservices Architecture, Distributed Data Processing framework & deployable on the cloud.
Audit of every configuration and data change in the system.
Role-based access management. Support for Active Directory integration including Single Sign-on.
Business user-friendly and intuitive interface; enabling collaboration across all functions & users.
Easily deployable on-premise or on the cloud and can seamlessly integrates with the existing data ecosystem.
Lower operational overheads and cloud-enabled to minimize infrastructure investments.
Integrate platform into the existing data ecosystem to automate import or export data and other functions.