ibm MDM on Cloud


 

IBM MDM on Cloud: A Comprehensive Guide

Master data management (MDM) is essential for businesses looking to gain control over their critical data assets. IBM offers a robust MDM platform called IBM InfoSphere Master Data Management that helps organizations centrally manage master data domains like customers, products, suppliers, Master Data Management Cloud Software for Banking locations etc.

In recent years, IBM has made their MDM offering available on cloud as well which provides additional benefits like flexibility, scalability and lower total cost of ownership. In this comprehensive guide, we will take a closer look at IBM MDM on cloud and understand how it can help organizations harness the power of their master data.

An Introduction to IBM MDM on Cloud

IBM InfoSphere MDM on cloud is a platform as a service (PaaS) offering that provides pre-configured MDM capabilities on IBM public, private or hybrid cloud. It removes the need for upfront infrastructure investments and allows businesses to start small and scale seamlessly as their master data needs grow.

Some of the key highlights of IBM MDM on cloud are:

  • Quick deployment: Get started with MDM capabilities in just a few weeks. IBM takes care of the installation and configuration.
  • Elastic scalability: Scale master data management up or down on demand. Add more compute power, memory, storage etc. to handle growth in master data.
  • High availability: Built-in redundancy for high availability. Options for disaster recovery as well.
  • Secure cloud environment: IBM manages security protocols, encryption, access controls etc.
  • Usage-based pricing: Pay for only what you use on monthly basis. No long-term contracts.
  • Seamless hybrid cloud: Extend your on-prem MDM deployment to cloud seamlessly.
  • Pre-configured solutions: Start quickly with pre-configured solutions for customer, product or other domains.
  • IBM expertise: Get support from IBM services teams for implementation and optimization.

With these capabilities, IBM MDM on cloud provides a flexible, scalable and more affordable way to implement master data management in the cloud.

Key Benefits of IBM MDM on Cloud

Adopting master data management on cloud provides numerous advantages over traditional on-premises MDM deployments. Some of the top benefits are:

Agility and Speed

  • Faster time to value - Start in weeks rather than months with pre-configured MDM services on cloud.
  • Meet changing demands swiftly - Scale resources up and down on demand.
  • Accelerate deployment - IBM handles installation, configuration, optimization.
  • Quick innovation - Easily test new use cases or capabilities.

Flexibility

  • Choice of cloud options - Public, private or hybrid. Use existing infrastructure.
  • Dynamic scaling - Add capacity on demand to handle growth in master data.
  • Global expansion - Expand geographic reach faster in multiple regions.
  • Hybrid data integration - Blend and manage data across cloud and on-prem.

Operational Efficiency

  • Lower TCO - Eliminate large upfront costs with pay as you go pricing.
  • Shift from CapEx to OpEx - Move from fixed to variable cost model.
  • Optimize resources - Scale independently based on workload needs.
  • Streamlined operations - IBM manages updates, security, availability etc.

Reliability

  • Proven security - Leverage IBM's enterprise-grade security protocols.
  • High availability - Built-in redundancy and disaster recovery options.
  • IBM experience - Get support from IBM's expert services teams.
  • Established platform - Leverage IBM InfoSphere MDM mature capabilities.

By providing these advantages, IBM MDM on cloud enables organizations to become more agile, flexible and efficient in managing their master data at lower costs.

Key Capabilities of IBM MDM on Cloud

IBM MDM on cloud comes with a rich set of capabilities that enable organizations to have complete control over their master data:

Master Data Management

  • Domain specific models - Pre-built models for customer, product, location etc.
  • Hierarchy management - Manage hierarchical relationships in master data.
  • Data validation, matching & deduplication - Ensure data quality.
  • Workflow & lifecycle management - Govern data changes.
  • Data enrichment & syndication - Augment data from external sources.

Integration

  • Multi-domain hub - Single unified view across domains.
  • Data integration - Integrate data from diverse sources.
  • API enablement - Access master data easily from other apps.
  • Event driven architecture - Trigger processes on data changes.

Data Quality

  • Assessment - Measure, monitor and report on data quality.
  • Standardization - Normalize, transform and enrich data.
  • Matching & merging - Identify duplicates across sources.
  • Survivorship - Define rules to select "golden" record.
  • Monitoring - Continuously profile and improve data.

Security

  • Encryption - Encrypt data in transit and at rest.
  • Access control

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