openvue
see your data flow
enterprise data visibility for
digital transformation and AI
01 / operations
02 / compliance
03 / analytics
many companies suffer from operational issues due to poor data quality - the challenge is finding where these issues occur and how to resolve them before they cause a loss of revenue. being able to trace critical data back to its source, and knowing how it flows, means you can identify and resolve data issues before they adversely impact your business processes.
data inside your organisation has its own lifecycle, as it is typically used for different business purposes - for example customer data used for sales orders is used by finance to process payments and then for future marketing purposes. transparency will help you meet audit and compliance requirements, to avoid fines and possible reputational damage.
data serves an important role in generating business value, for decision making and to offer key business insights. in addition, it can support new opportunities from AI and machine learning models by ensuring data pipelines are robust and fit-for-purpose using data that has been sourced from the right places and has the necessary data governance checks and controls in place.
how it works
openvue helps companies understand how their business critical data flows across the corporate estate.
end-to-end data transparency across complex IT systems helps business and IT teams focus their efforts to deliver the greatest impact. where resources are stretched, being able to be to direct time and money on the areas that matters the most will provide the best return on investment Read more.
transparency
openvue provides an easy way of describing the end-to-end journey of data throughout it's lifecycle. this provides a business-friendly view of critical data entities while hiding the underlying physical complexity. Knowing where your most important data comes from and how it is used, means key business decision makers are all on the same page.
standards
knowing which policies and standards apply to data means that they can be measured against expected thresholds. whether data quality rules or compliance checks, being able to see where the controls are, and whether data is meeting the minimum requirements, will indicate if action needs to be taken, and how urgent this is to resolve.
collaboration
fixing data issues may involve many different teams. This depends on whether the root cause is to do with business processes problems, IT system issues or data quality remediation. openvue's collaborative platform ensures both business users and technical teams are aligned, with full transparency of improvement activities needed.