Finally, there’s one place to manage your business’ master data.
- Create a single source of truth for all your master data with a single click
- Create a culture of data ownership
- Introduce governance and audit trails for master data maintenance
- Have consistent naming standards and business validation
- Improve your transactional data
- Improve your customer satisfaction with accurate analytics
Take your first step to any Big Data initiative with MDO
Combine governance processes with business process for the creation, maintenance and replication of master data.
Effective Data Governance is the foundation for a unified and trusted view of enterprise data. Without an effective data governance strategy organizations cannot make the right business decisions to stay competitive. By Implementing the MDO solution, organizations are able to trust their data to increase revenue, decrease operational costs, reduce risk, and increase customer satisfaction.Read More…
Product Info Management
Gain control of your product information assets
Leading organizations across industries are breaking down their information silos to gain control of there most important and commonly shared enterprise information assets. These initiatives are being driven by master data management, a practice designed to achieve and maintain a single version of truth across the enterprise. PIM an element of MDM, establishes a single repository for products and services that can be used to address strategic business initiatives throughout an organization.Read More…
Trusted view of the organization for better business performance.
Decision makers require high-quality data as a basis for making critical decisions which assist in increasing revenue, reducing costs and managing risk. By using the MDO Platform for Data Quality the organization improves the timeliness and accuracy of the information. Furthermore, by integrating data quality within business analytic and integration projects , organizations can combine disparate data, remove inaccuracies, standardize on common values and cleanse data to form a strategic asset.Read More…
Extract and clean up duplicates and incomplete records.
Data Cleansing in simple words refers to the process of cleaning and standardizing data to match the business requirements. Data quality is largely affected by the way data is entered, stored and managed. Since data is entered and recorded by different people at different levels in an organization, it lacks consistency. Companies create business validations and rules to standardize data and eliminate the chances of inconsistencies, however fail at the implementation level.Read More…