Today, organizations still rely on Data Warehouse (DW) platforms to deliver actionable, timely, and trustworthy intelligence because DW technology organizes and aggregates analytical data from various functional domains and serves as a critical repository for organizations’ operations.
DW is a robust, secure, and proven ecosystem that supports integration with data models and security frameworks, real-time analytics, automation, and a broad range of business intelligence (BI) and visualization tools. It is the foundation for BI to support timely reports, ad hoc queries, and dashboards and to supply other analytics applications with trusted and integrated data.
We can definitely help with your DW technology initiatives, do not hesitate to contact us and/or visit our Rapid Marts solutions page.
Poor-quality data is often pegged as the source of inaccurate reporting and ill-conceived strategies in a variety of companies. The first step toward fixing Data Quality (DQ) requires identifying all the problem data. Data Profiling software can be used to perform an assessment to verify data if sources are accurate, determine how much data there is and the potential impact of a data breach.
From there, companies can build a DQ program, with the help of data stewards, data protection officers or other data management professionals and software tools specialized for data quality management match records, delete duplicates, establish remediation policies and identify personally identifiable data.
Metrics View’s consulting team has plenty experience with DQ implementation projects, get in touch with us to discuss your DQ concerns.
Master Data Management (MDM) is a comprehensive method of enabling an enterprise to link all of its critical data to a common point of reference. By providing one point of reference for critical information, MDM eliminates costly redundancies that occur when organizations rely upon multiple, conflicting sources of information.
For example, MDM can make sure that when customer contact information changes, the organization will not attempt sales or marketing outreach using both the old and new information. Having multiple sources of information is a widespread problem and the associated costs can be very high.
If you would like to know more details about our MDM solutions, or have a conversation with one of our specialists contact us and we will get back to you ASAP.
Data Governance is a system of decision rights and accountabilities for information-related processes, executed according to agreed-upon models which describe who can take what actions with what information, and when, under what circumstances.
Data Governance is a set of processes that ensure key data assets are formally managed throughout the enterprise so that data can be trusted, and people can be made accountable for any adverse event that occurs due to bad data. Data Governance is essentially a quality control discipline mainly meant to improve and maintain the data quality.
Should you be interested to know more details about Metrics View’s Data Governance approach send us a message.
