SAP Master Data Governance Description
To simplify enterprise data management, improve data accuracy, reduce costs, and create a cohesive master data management strategy across all your domains, you need to establish a common and coordinated master data management strategy. With minimal barriers to entry, you can kick-start your corporate master information management initiative in the cloud. You also have the option to add master data governance scenarios at will. By combining SAP and third-party data sources, you can create a single source for truth and mass process additional bulk updates on large amounts of data. To confirm master data readiness and to analyze master data management performance, define, validate, monitor, and monitor established business rules. Facilitate collaborative workflow routing and notification so that different teams can have their own master data attributes and validated values for specific data points.
SAP Master Data Governance Alternatives
D&B Connect
Your first-party data can be used to unlock its full potential. D&B Connect is a self-service, customizable master data management solution that can scale. D&B Connect's family of products can help you eliminate data silos and bring all your data together. Our database contains hundreds of millions records that can be used to enrich, cleanse, and benchmark your data. This creates a single, interconnected source of truth that empowers teams to make better business decisions. With data you can trust, you can drive growth and lower risk. Your sales and marketing teams will be able to align territories with a complete view of account relationships if they have a solid data foundation. Reduce internal conflict and confusion caused by incomplete or poor data. Segmentation and targeting should be strengthened. Personalization and quality of marketing-sourced leads can be improved. Increase accuracy in reporting and ROI analysis.
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Cloudingo
Cloudingo makes managing customer data super simple, from deduping to importing to migrating. Salesforce is great for managing customers. Salesforce is great for managing customers. But it falls short when it comes to data quality. Data quality is a problem. There are duplicate records, customer data that doesn’t make sense, and reports that are a little...off. Do you sound familiar? You can only merge dupes one by one, native solutions, custom codes, and spreadsheets. It shouldn't be a problem to ensure the accuracy of customer data. Or spend a lot of time cleaning up and managing Salesforce. You've wasted too much time putting at risk relationships, losing opportunities, and dealing in chaos. It's time for you to change it. Imagine a tool that transforms your Salesforce data from a messy, confusing, and unreliable mess into a lead-nurturing, sales-producing machine.
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Informatica Supplier 360
To better manage risk and improve relationships, you can access a 360-degree view of your supplier network. Our master data-driven business application allows you to strategically manage supplier information. Allow suppliers to register through the portal. Make sure they provide all required information. To qualify suppliers for onboarding, you can easily access and verify the information and documents they have provided. Informatica Data as an Service allows you to centrally validate, verify, enrich, and enrich email, phone numbers, and address information. Informatica Product 360 allows vendors to upload product catalogs. Know the suppliers of your suppliers and where they source materials and services. Analyze the performance of suppliers and track locations, products supplied, invoice status or onboarding duration. You can protect your brand by increasing transparency in supply chains and gaining greater trust in third-party relationships.
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DataBuck
Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.
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Integrations
Company Details
Company:
SAP
Year Founded:
1972
Headquarters:
Germany
Website:
www.sap.com/products/master-data-governance.html
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Product Details
Platforms
SaaS
Type of Training
Live Online
Videos
Customer Support
Phone Support
Online
SAP Master Data Governance Features and Options
Data Governance Software
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
SAP Master Data Governance User Reviews
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