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Can Data Workflows Make Your Processes More Efficient?

Updated: Aug 5

What is Data workflow?


Workflow within data management and data fabric platforms starts with the concept that data processes can be made more efficient. With data management systems that feed a data warehouse or data lake, data workflows allow organisations to collect data, analyse it, and optimise their processes in the best possible way that suits your business.


Typically, employees must work with multiple tools at the same time to complete tasks. Data workflows can link together the processes of data provision, capture, cleaning (cleansing), enrichment, and publications. Our Data Fabric platform links together all these processes and automates them through data workflows. Our data platform has streamlined onboarding and our team is experienced in rapid deployments providing you with the right tools so your team can handle complex interactions with data sources and other systems. This ensures data is fit for purpose, from an appropriate source and ready for onward publication. The result of automation through data workflows is the freeing up of your team to work on high-value activities which get the most of their expertise and experience.


Data workflows automate ELT data collection and provide quality assurance of data with minimal need for human intervention. Harmonised data collections can be created in the data mart to compose consistent views from many data sources. Smart business rules involved in cleaning and enrichment processes provide data that is consistent with real-world requirements and legal and regulatory requirements. The result of cleaning and enriching parts of the data workflow is data structures that form the data golden copy. Outliers are detected and meanings are consistent across different data sets to allow data users to safely pick data from new data sets based on existing knowledge. Workflows then allow users to find relevant data more easily from a growing set of data assets. All data is traceable with a clear data provenance record. Data integration allows data to be used for different purposes, but the quality is assured only once. This makes it easier to access, analyse and report data through well-governed automated data publications.


Using data workflow can create a competitive advantage over manually operated competitors. You achieve greater ROI by delivering better services with higher quality. With the capabilities of auditing, monitoring, reviewing, and reporting on process efficiency in real-time, this workflow facilitates the smooth running of operations or projects and ensures that everything goes according to schedule. We have added the capability of real-time monitoring of process efficiency and cycle times since it is crucial to make the best use of analytical capabilities.





Workflow automation


Besides being labour-intensive and slow when done manually, data processes are also prone to human error. In addition to further delaying processing, it can often result in extra labour costs to correct mistakes. The inefficiency and ineffectiveness of poorly managed manual work ultimately lead to disgruntled employees and unhappy customers. The automation with data workflows is an effective method for accelerating processes, preventing errors, and focusing staff time on correcting errors, analysing data, and creating meaningful insights.


It's impossible to operate with zero errors. But identifying and correcting errors in a proactive manner can be improved. With manual workflows, some problems can go undetected until they become more serious. It does not take long for inefficiencies to become routine until a significant deadline is missed, or an error occurs. By using data management with workflows, in some cases, errors can be prevented before they happen in the first place. What is more important is that you can pinpoint their exact location if they occur, and rules can be implemented within the workflow. to avoid the same errors occurring again.


Our data workflow solution helps by automating repeatable enrichment and transformation on top of the data more efficiently with less error than doing it manually. That way, analysts can benefit from the platform and utilise its features more easily, using the system to identify outliers or unusual patterns of data and reduce a lot of time spent on manual checking.


Automation helps notify teams in the case of new problems or errors. The workflow will detect that it is an error or where data input and cleansing do not meet agreed-on thresholds and alert them. Alerts can be sent to data providers or to data analysts and scientists. Users can navigate the platform to make sure any modifications are made and retained in the workflow. These interventions can be used to allow the system to learn and keep improving. As the workflow is automated - once taught something, it won't ever forget it. Even if the use case is very infrequent it will still cover it.


How can Finworks’ Data Fabric be of benefit to your business?


We’ve incorporated workflow templates in our data fabric solution with the goal of creating transformational software that fosters insights.


Finworks Data Platform allows the collection of any quantity of data, structured or not, from any type of source. Data workflows make it manageable and usable allowing users to interrogate that data at exceptional speed. The key is that it is done continuously, and automatically, with intelligence. The result is usable, well-governed data that facilitates informed action.


Using our platform, data processes are mapped, analysed, and optimised. Data quality is improved using real-time monitoring. Transparency of data and analytics are used optimally to ensure users make informed decisions based on a thorough analysis of accurate and consistent data.


Data workflows benefit our clients by allowing the use of complex analytics. Performance benefits are achieved through automation whilst lowering risks by increasing auditability, availability, and security.




Our approach to data


Across businesses and in the world, data has the power to transform lives. At Finworks, we have dedicated our efforts to becoming experts in the areas of data and workflow technology, providing exceptional software and service for over 20 years. Our products solve mission-critical problems by creating and interrogating complex data sets, giving our clients the power to make the right decisions and act. Throughout our history, we have stood apart because of our vision - and ability - to perceive the world in terms of data, and to build software around that. Although it is challenging on an intellectual and technical level, we do so to open possibilities. We harness data's power to transform how organisations work with our workflow and data management products.

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