Data Governance

Data governance is a data management concept concerning the capability that enables an organization to ensure that high data quality exists throughout the complete lifecycle of the data. The key focus areas of data governance include availability, usability, consistency[1], data integrity and data security and includes establishing processes to ensure effective data management throughout the enterprise such as accountability for the adverse effects of poor data quality and ensuring that the data which an enterprise has can be used by the entire organization.

Sample Architecture

Data Management Organisation and Strategy

Data Governance is an ongoing effort for an organisation, something that should be included in every business operation. Our proven methodology ensures your DMO is established with the right balance of technology, processes, business ownership and operation model to ensure long-term success and adoption.

Master Data Management

A solid master data management strategy provides you with an up-to-date single version of the truth. It provides a trusted view of critical information and deeper insights into data, leading to better and more cost effective business processes. Our broad range of MDM solutions provide a simple and trusted view of your data.

Data Quality

When it comes to data governance, the quality and reliability of your data is paramount to a successful governance program. Your data must be clean, precise, and comprehensible. We provide end-to-end data quality solutions that include discovering, defining, applying, monitoring, and measuring progress in real-time.

Data Integration

No matter what type of data you are governing, data integration isn�t easy. We understand what it takes to be successful. From extraction, cleansing and validation to implementation, our integration process is detailed and proven.

Data Discovery & Profiling

Data discovery and profiling is the first step in any data project. Employ smart, automated metadata discovery algorithms to know the state of your data quality, empower data users to make smarter, more informed decisions, and prevent costly mistakes. Store your findings in a data catalog for future projects.

Data Quality Monitoring & Reporting

Use AI and machine learning to keep information about your current data quality state readily available for faster, improved decision making. See trends, view full history, compare versions, and get accurate and timely visual reports shared across your company. Do all of this directly from a web app as part of a complete, end-to-end self-service scenario.