Blogs

Using External Data in MDM Systems

Jul 25, 2019 7:49:29 AM / by Abhishek Kamboj posted in Blog, Data Quality, MDM, Integration, correction, enrichment, external data, Reference Data, validation

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Let me start by saying that this is not an article about big data.  While the source of big data is external to your organization, it is a topic of its own.  Many of the concepts and approaches discussed will definitely apply to your big data initiatives, but that won’t be the focus of this article.

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MDM Project Management in Emerging Economies (Africa)

Jul 25, 2019 7:47:19 AM / by Abhishek Kamboj posted in Blog, MDM, Master Data Management, Africa, MDM Project Management, Project management, Project managers, Smart MDM

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Introduction

Inter and Intra business communications turn out to be perpetually mind boggling, the need to successfully manage time and assets winds up the key. All things considered, and coupled with huge interest in infrastructure and service, the interest for project management (PM) aptitude in Africa has expanded significantly over a wide assortment of Industries. Africa is a market of middle class consumers which is expected to reach 1.1 Billion by 2060 and will need to cater for maintaining the Master data of the customers. The best possible option is using Master Data Management tools and this will lead to more development projects eventually more project managers to make sure everyone works together as a well-coordinated team. Currently the need for project management is on high in Africa, but MDM project managers are rare.

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MDM Upgrade...

Jul 25, 2019 7:40:40 AM / by Abhishek Kamboj posted in Blog, Data Quality, MDM, CDI, Match, Probabilistic, Data, IBM, InfoTrellis, Healthcare, Algorithm, Cleanup, Deterministic, DQR, EMPI, Entities, Finance, Government, Industry, Infosphere, Initiate, Leader, Link, Linkages, Master, MDS, MPI, Remediation, Retail, Score, Service, Steward, upgrade, Why

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Why upgrade?
Clients ask me all the time, why? Why do we need to upgrade? We are happy with the way the software is working? if it ain't broke, don't fix it!

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IICS and Data Solutions on the DX Platform

Jul 25, 2019 7:39:25 AM / by Asha Shyam Sundar posted in Blog, Data Quality, Informatica, MDM, data governance, Cloud, AI Engine, API Management, CLAIRE, Data Security, DX(Digital Transformation), Informatica Intelligent Cloud Services(IICS), iPaaS, Micro-services

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Overview

The move to the cloud is fully in force, and therefore the variety of organizations’ integrated knowledge in hybrid environments has multiplied two-fold. Nearly three-quarters of respondents’ integrated knowledge in hybrid and cloud environments claimed poor knowledge quality in cloud services, restricted API access, company security and compliance policies as being among the key problems in implementations. The largest issue among all was an absence of data and skills contained inside their organization’s IT departments on the way to integrate with cloud services.

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GDPR and MDM – Part 1

Jul 25, 2019 7:29:37 AM / by Shylaja Rajendran posted in Blog, MDM, Data, data governance, Customer Data, Data Governance group, Data Impact Assessment, Data Protection Officer, GDPR, GDPR Compliance, Risk Assessment

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This blog post section gives an overview of GDPR, requirements, impact on business, common challenges faced by organizations and next steps recommended for GDPR compliance.

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Virtual and Physical MDM in the same box, best of both worlds!

Jul 25, 2019 6:41:23 AM / by Abhishek Kamboj posted in Blog, MDM, IBM MDM, Hybrid, Use Cases, MDM 11

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With the introduction of IBM Master Data Management v11, IBM has created a new implementation style combining the strengths of both MDM Physical and Virtual editions. While MDM Physical is more suited to the “centralized” MDM style (system of record), and MDM Virtual is aligned with the “registry” MDM style (system of reference), MDM Hybrid uses a “coexistence” style to provide a mixed system of reference & record. This article will give an overview of the MDM Hybrid implementation style and a couple of interesting lessons learned during a recent InfoTrellis engagement.

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Approaching Data as an Enterprise Asset

Jul 25, 2019 6:35:14 AM / by Abhishek Kamboj posted in Blog, MDM, Master Data Management, Data Management, enterprise data management

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If you walk into a meeting with all your senior executives and pose the question:

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IBM MDM BatchProcessor - Tips for better throughput

Jul 25, 2019 6:28:56 AM / by Abhishek Kamboj posted in Blog, MDM, Master Data Management, MDM Implementation, MasterDataManagement, mdm hub, InfoTrellis

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MDM BatchProcessor is a multi-threaded J2SE client application used in most of the MDM implementations to load large volumes of enterprise data into MDM during initial and delta loads. Oftentimes, processing large volumes of data might cause performance issues during the Batch Processing stage thus bringing down the TPS (Transactions per Second).

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Answering Key Questions about IBM’s MDM Version 11 Upgrade

Jul 25, 2019 6:24:18 AM / by Abhishek Kamboj posted in Blog, MDM, IBMMDM, MDM11, OSGi, Web Sphere, MasterDataManagement

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What big changes does this upgrade bring?

IBM brought together Initiate Master Data Service (MDS), InfoSphere MDM Server (MDM) and InfoSphere MDM Server for PIM into a single market offering as InfoSphere MDM v10.  The market offering contained four editions: standard, advanced, collaboration and enterprise.

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Data Management and IBM IIS Tools

Jul 25, 2019 6:21:18 AM / by Manas Mishra posted in Blog, MDM, Asset Manager, Data Click, DataStage and QualityStage, FastTrack, Governance Dashboard, IBM, IBM IIS Suite, IGC, Information Analyzer, Infosphere Information Server, Metadata, Stewardship Console

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IIS Tool Suite Overview

As per a study conducted by a leading market research and advisory company the data that we have generated in the past two years is many times more than that we generated in over two decades. It has not just multiplied, but have also become complex, varied and is being generated at much more rate than it ever was. These factors present a data integration challenge to the industries and businesses to be able to better utilize their data for help building strategies, provide services, introduce policy regulations such that their business is empowered to bridge or completely meet the gap for that matter between data and analytics.

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