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Monitor MDM Hub activity
Quickly Isolate System Issues
Analyze SLA Performance
Improve Matching Over Time
Speed Analysis & Recovery
Including KPIs for SIF activity
MDM Hub Analyzer 2
Monitoring and Reporting for Informatica MDM
Operational Insight for Informatica MDM
Informatica MDM is a complex system, using a combination of batch job processes
and real-time SIF calls to load and process data from multiple source systems, and
then perform complex matching algorithms to create and continuously update a Golden
Record and provide a Best Version of Truth (BVT).
With complexity come fragility and the risk of sub-optimal operations. Administration
and the management of MDM operations are challenged to keep this ‘black box’
operating in optimal condition. Without a view of what is happening it is near
impossible to know when a problem occurs, or better yet, is about to occur.
If you are tasked with managing your organization’s MDM solution, you will need to
know essential information about its health and well being:
ll Are my Match Rules productive and effecive? Do they need to be tuned?
ll How many records are being rejected, and why? From what source?
ll Are the SLAs for MDM operations being met?
ll How fast is data growing, and when will more storage be needed?
ll Where exactly are performance issues?
ll How fast is the Hub processing data?
These are just some of the questions businesses need to answer in order to effectively
operate and manage an MDM solution.
MDM Hub Analyzer
The MDM Hub Analyzer from GlobalSoft provides Informatica MDM Administrators
and Operations staff with insight into the operations of your MDM solution by providing
analytical displays of key operational metrics. By interrogating the Hub’s Metadata
tables and log files, and
gathering statistics from the
database and file systems,
the MDM Hub Analyzer is able
to compile multiple views of
MDM operations, providing
charts and tables essential to
understanding the underlying
performance and health of your
MDM solution. This speeds up
the ability to isolate and improve
operations.
GlobalSoft has drawn on its
years of experience in deploying
MDM solutions to create the
most sought-after operational
management solution for the
MDM community.
Copyright © 2014 GlobalSoft, Inc. All rights reserved. GlobalSoft and the GlobalSoft logo are trademarks of GlobalSoft,
Inc. All other logos are the trademarks of their respective companies. 	
GlobalSoft, Inc.
4010 Moorpark Avenue, #109
San Jose, CA 95117
+1 408 260 8539
www.globalss.com
Monitoring of MDM Hub activity
The MDM Hub Analyzer includes a near-Real Time dashboard displaying current MDM Hub Activity, such as Batch Job,
SIF calls, and alerts. It also includes a display of CPU and Memory utilization so that key system resources can be
monitored.
Reporting of KPIs
The core of the MDM Hub Analyzer is a comprehensive collection of dashboards presenting metrics about the
performance and operation of your Informatica MDM Hub. The following is a short description of the Reporting
dashboards delivered with the MDM Hub Analyzer. Additional dashboards and metrics can be added as part of our
services offerings.
About GlobalSoft
GlobalSoft is a global software consultancy with over fifteen years experience helping customers and vendors solve challenges
with Data Management and Integration.
For customers of Informatica MDM, GlobalSoft has developed products and solutions to maximize the return from MDM, and its
extensive experience makes GlobalSoft a preferred provider of MDM services.
Included KPIs
Call Throughput; Calls processed per Second Call Summary
Call Latency Latency above Threshold
Drill down by Call type, to individual Calls Call failures, and failure rate
SIF
Informatica’s Services Integration Framework (SIF) provides API calls for real-time integration with
the MDM Hub. This dashboard provides detailed metrics on the volume & performance of these
calls, as well as other essential reporting metrics to allow managment of your SIF infrastructure..
Batch
Key metrics about the activity and performance of the MDM batch job processes, including metrics
to montor SLA performance.;
Included KPIs
Batch Throughput; Records processed per Second Slowest and Longest Running Jobs
Processing time by day of week Daily System Usage
Drill down by Job type, to individual Jobs System Resource performance
Included KPIs
Detailed Match Quality Statistics Detailed Source Quality Statistics
Match Productivity, Rule Efffectiveness, Rule Quality,
Source Quality
Record Distribution
Match and Source Quality
Understanding the productivity and success of data matching is valuable to ongoing MDM Hub
operations. This dashboard will allow operators to see which match rules to modify, potentially
drop or change their auto / manual merge status, and to view the contributions from data sources..
Included KPIs
Consolidated Records count by object and state Consolidate Object state analysis
XRef Record count by object, source, and state Data Staleness
Rejected Record count, by source & reason History Record Count
Invalid Address count, by source & reason Tablespace Usage
Data Quality & Capacity
Key metrics about the quality of data that lives in your MDM Hub, providing you insights that allow
you to undertand and improve quality, and to monitor the count of records and size of storage
requirements.

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Hub analyzer2.x datasheet

  • 1. Monitor MDM Hub activity Quickly Isolate System Issues Analyze SLA Performance Improve Matching Over Time Speed Analysis & Recovery Including KPIs for SIF activity MDM Hub Analyzer 2 Monitoring and Reporting for Informatica MDM Operational Insight for Informatica MDM Informatica MDM is a complex system, using a combination of batch job processes and real-time SIF calls to load and process data from multiple source systems, and then perform complex matching algorithms to create and continuously update a Golden Record and provide a Best Version of Truth (BVT). With complexity come fragility and the risk of sub-optimal operations. Administration and the management of MDM operations are challenged to keep this ‘black box’ operating in optimal condition. Without a view of what is happening it is near impossible to know when a problem occurs, or better yet, is about to occur. If you are tasked with managing your organization’s MDM solution, you will need to know essential information about its health and well being: ll Are my Match Rules productive and effecive? Do they need to be tuned? ll How many records are being rejected, and why? From what source? ll Are the SLAs for MDM operations being met? ll How fast is data growing, and when will more storage be needed? ll Where exactly are performance issues? ll How fast is the Hub processing data? These are just some of the questions businesses need to answer in order to effectively operate and manage an MDM solution. MDM Hub Analyzer The MDM Hub Analyzer from GlobalSoft provides Informatica MDM Administrators and Operations staff with insight into the operations of your MDM solution by providing analytical displays of key operational metrics. By interrogating the Hub’s Metadata tables and log files, and gathering statistics from the database and file systems, the MDM Hub Analyzer is able to compile multiple views of MDM operations, providing charts and tables essential to understanding the underlying performance and health of your MDM solution. This speeds up the ability to isolate and improve operations. GlobalSoft has drawn on its years of experience in deploying MDM solutions to create the most sought-after operational management solution for the MDM community.
  • 2. Copyright © 2014 GlobalSoft, Inc. All rights reserved. GlobalSoft and the GlobalSoft logo are trademarks of GlobalSoft, Inc. All other logos are the trademarks of their respective companies. GlobalSoft, Inc. 4010 Moorpark Avenue, #109 San Jose, CA 95117 +1 408 260 8539 www.globalss.com Monitoring of MDM Hub activity The MDM Hub Analyzer includes a near-Real Time dashboard displaying current MDM Hub Activity, such as Batch Job, SIF calls, and alerts. It also includes a display of CPU and Memory utilization so that key system resources can be monitored. Reporting of KPIs The core of the MDM Hub Analyzer is a comprehensive collection of dashboards presenting metrics about the performance and operation of your Informatica MDM Hub. The following is a short description of the Reporting dashboards delivered with the MDM Hub Analyzer. Additional dashboards and metrics can be added as part of our services offerings. About GlobalSoft GlobalSoft is a global software consultancy with over fifteen years experience helping customers and vendors solve challenges with Data Management and Integration. For customers of Informatica MDM, GlobalSoft has developed products and solutions to maximize the return from MDM, and its extensive experience makes GlobalSoft a preferred provider of MDM services. Included KPIs Call Throughput; Calls processed per Second Call Summary Call Latency Latency above Threshold Drill down by Call type, to individual Calls Call failures, and failure rate SIF Informatica’s Services Integration Framework (SIF) provides API calls for real-time integration with the MDM Hub. This dashboard provides detailed metrics on the volume & performance of these calls, as well as other essential reporting metrics to allow managment of your SIF infrastructure.. Batch Key metrics about the activity and performance of the MDM batch job processes, including metrics to montor SLA performance.; Included KPIs Batch Throughput; Records processed per Second Slowest and Longest Running Jobs Processing time by day of week Daily System Usage Drill down by Job type, to individual Jobs System Resource performance Included KPIs Detailed Match Quality Statistics Detailed Source Quality Statistics Match Productivity, Rule Efffectiveness, Rule Quality, Source Quality Record Distribution Match and Source Quality Understanding the productivity and success of data matching is valuable to ongoing MDM Hub operations. This dashboard will allow operators to see which match rules to modify, potentially drop or change their auto / manual merge status, and to view the contributions from data sources.. Included KPIs Consolidated Records count by object and state Consolidate Object state analysis XRef Record count by object, source, and state Data Staleness Rejected Record count, by source & reason History Record Count Invalid Address count, by source & reason Tablespace Usage Data Quality & Capacity Key metrics about the quality of data that lives in your MDM Hub, providing you insights that allow you to undertand and improve quality, and to monitor the count of records and size of storage requirements.