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Posts tagged ‘data integration’

Hub Designs & Stibo Systems Offers Exclusive Discount Code to Upcoming Gartner MDM Summit

Jill Dyche’s Talk at Gartner MDM 2013

I attended the Gartner 2013 MDM Summit, and had a chance to hear Jill Dyche, VP of Best Practices at SAS. Read more »


Opportunity for Boston-Based Consultant with Significant ESB Experience

Hub Designs is looking for an exceptional enterprise integration architect Read more »

Open Source Software

Using Open Source Software for Data Management, by Julie Hunt

another insightful article by Hub Designs Magazine’s editor, Julie Hunt Read more »


The Adaptive Enterprise: New Directions for MDM?

A new article by our editor, Julie Hunt, a software industry strategist and analyst.   Read more »


Getting What You Need from Your Enterprise Architect

This article captures a session at the recent conference of the Data Governance SIG of the Americas SAP User Group (ASUG) by George Bryce, Corporate Data Architect at Procter & Gamble. Read more »

Lean Manufacturing

Lean Is Not a Destination, It’s a Journey

A great new article by our editor, Julie Hunt, a software industry strategist and analyst.   Read more »


Business Priorities Point the Way for MDM, by Julie Hunt

A new article by our new editor, Julie Hunt, a software industry strategist and analyst.   Read more »

Financial Services Industry

Olmstead Associates and Hub Designs Partner to Provide Information Management Services to the Financial Industry

A press release announcing the partnership between Olmstead Associates and Hub Designs to serve the financial services industry Read more »

Oracle Customer Hub

Looking for Oracle TCA Business Analyst / Developer

Hub Designs is looking for an exceptional Oracle TCA Business Analyst / Developer Read more »

Liaison Logo

Liaison Briefs the Hub Designs MDM Think Tank

Jonathan Razza, who is a Director of Data Management Solutions at Liaison Technologies, sat down with the Hub Designs Think Tank in mid-October for an analyst briefing on Liaison’s Cloud MDM Services. Read more »


Connecting Data Governance to Business Outcomes That Matter

Here’s another great and timely article by Julie Hunt, a software industry strategist and analyst.   Read more »

Arctic Ocean

The System of Record in MDM, by Dalton Cervo

Today’s guest article is by Dalton Cervo, the co-author of a great new book titled Master Data Management in Practice – Achieving True Customer MDM. Read more »

Breaking Down The Silos

Information, Intelligence and Process by Julie Hunt

Here’s a great article by Julie Hunt, an accomplished software industry analyst. When we first ran it, we broke it up into four installments. We’re running it again as one continuous article (which is how Julie intended it to be read).  Read more »

Arctic Ocean

The System of Record in MDM, by Dalton Cervo

Today’s guest article is by Dalton Cervo, the co-author of a great new book titled Master Data Management in Practice – Achieving True Customer MDM. Read more »

Mountains of Data

Information, Intelligence and Process (Part 4) by Julie Hunt

Here’s the final article in this great series by Julie Hunt, an accomplished software industry analyst.  Read more »


Information, Intelligence and Process (Part 3) by Julie Hunt

Here’s the next article in the series by Julie Hunt, an accomplished software industry analyst.  Read more »

Breaking Down The Silos

Information, Intelligence and Process (Part 2) by Julie Hunt

Here’s the next article in the series by Julie Hunt, an accomplished software industry analyst.  Read more »


Information, Intelligence and Process (Part 1) by Julie Hunt

We’ve been on site at a new client in South Africa since the Gartner MDM Summit. Here’s a great series of new articles by Julie Hunt, an accomplished software industry analyst. Read more »

Oracle MDM

Oracle 2011 MDM Strategy and Roadmap

This session at COLLABORATE 2011 was presented by Manoj Tahiliani, Senior Director of MDM Product Management & Strategy at Oracle. Read more »


Talend MDM Celebrates Its One Year Birthday

Talend Logo

Jim Walker, who handles MDM Product Marketing at Talend, sat down with us recently for an analyst briefing to fill us in on how Talend is doing with its Talend Master Data Management product. Read more »


“Data Governance In The Cloud” Seminar, March 24th in Atlanta

User Adoption is a Critical Component of Your Success.

March 24, 2011 • 7:30-11:30AM
JW Marriott Buckhead
3300 Lenox Road,
Atlanta, GA 30326

Webinar Registration

Master Data Management (MDM) is key to driving revenue and achieving greater productivity with  A clear data strategy and processes for collecting, aggregating, consolidating, and distributing data throughout an organization impacts your bottom line.

  • Is bad data undermining your sales performance?
  • Do you have data in disparate systems, fragmented — some in the cloud, some on-premise?
  • Are your people, processes, and technologies not aligned properly to ensure data efficiency, access and consistency across your organization?
  • Is your sales team spending more time searching for data than they are with customers?

If you’re experiencing any of these issues, attend Data Governance in the Cloud to get control of your data and an action plan for success.

Agenda Overview

  • Introduction to the Fundamentals of Master Data Management
  • How to Establish Data Governance within your Organization
  • Introduction to CRM Process Modeling
  • How to Develop a Sales & CRM Process Model
  • Cloud Data Integration – Informatica
Seminar Sponsors

Key Insight from Proven Leaders in CRM… Attend this information packed morning and leave with an action plan to gain control of your data, empower your people, initiate processes, and learn which technologies can help you accomplish your goals.

Meet the Experts

Ernie Megazzini
VP, Cloud Technology

Dan Power
Hub Designs

Darren Cunningham
VP, Marketing
Informatica Cloud

Who Should Attend

Business and IT executives and management responsible for consistent and proper handling of data across an organization.

Benefits of Attending

Attendees will leave with a clear understanding of how a company with a well defined, integrated MDM strategy can achieve greater revenues and increased productivity. 

Attend this information packed seminar to get control of your data strategy and achieve success with your CRM solution

Webinar Registration


MDM and SOA, a Strong Partnership

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Editor’s Note: Today’s post was written by Joan Lawson, a great enterprise architect whom I’ve known since 2003.

For more information on Joan, please see her LinkedIn profile — Dan Power

Let’s not allow Master Data Management (MDM) to become just another silo of data!  MDM and Service-Oriented Architecture (SOA) together, create a strong partnership in your enterprise architecture. 

1. Data Quality = Add Quality to SOA

SOA enables business functionality as a service.  However, it does not guarantee quality of the data on which it’s operating.  That’s a serious gap, which is filled by including MDM in a service-oriented architecture.  True business value is realized as services start leveraging the high quality data in the MDM hub and the services which surround it. 

2. Data Management Services Offered by the MDM Hub

MDM abstracts the governance of data by consolidating it into a central data model; conducting all data cleansing, augmentation, cleansing, and standardization; and creating a ‘gold standard’ source. These data management functions are centralized in the data hub and are hidden from the consumers of the cleansed data. Maximize the value of these services by consuming them from other applications that need to perform data quality processing external to the data hub.

3. Data Offered by the MDM Hub

Data services allow the consuming application to access and manipulate hub data from a service layer as a supported data source. Layering data services on the MDM hub hides the implementation of federated queries that gather the data requested by the consumer.

4. SOA, MDM, and middleware

SOA, integration middleware (Enterprise Service Bus or ESB), and MDM together can manage the detection of data changes in the source applications and propagate them from the source applications to the MDM – or from the MDM back to the consumers. With the addition of Business Process Execution Language (BPEL) and a business rules engine, a data change detected in a source can be captured, cause the data quality business rules to be executed on the data, and place the data back on the ESB to be consumed.

Are there other use cases for how MDM and SOA, together, add strength to the enterprise architecture? Please add your thoughts by commenting here or on the MDM Community.


Building Integration using SOA

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Many companies are still deploying Enterprise Application Integration (EAI), with proprietary adapters and integration servers.  However, for a Master Data Management (MDM) solution, we recommend a Service-Oriented Architecture (SOA) approach for integration between the hub and source systems using web services.

A typical web server provides Hypertext Transfer Protocol (HTTP), so Web browsers can receive pages from a web site.

Application servers provide the Simple Object Access Protocol (SOAP) interface and host the web services. The web services also provide object components, which provide the business service layer above the applications.

The development time for SOA-based MDM integration will depend on the number of business entities to be exchanged, the availability of a vendor-supplied Software Development Kit for the Web Services Definition Language (WSDL), the complexity of the applications to be integrated and the number of Web services to ultimately be deployed.

Some guidelines for developing an SOA integration for an MDM hub are:

  • Use XML (eXtensible Markup Language) for all data exchange (XML is a language that provides a standard way of representing data and information).
  • Use UDDI (Universal Description, Discovery, and Integration) for listing and locating applications. UDDI is a directory standard that is provided by some application tools as a built-in service to use during integration.
  • The WSDL (Web Services Description Language) file should be obtained from the source system to which data needs to be sent or retrieved. WSDL is a “descriptor standard” that an application uses to describe its interface and interaction rules to other applications. WSDL is a document written in XML which describes a Web service. It specifies the location of the service and the operations (or methods) the service provides.
  • WSDL should be leveraged with the help of proprietary tools provided for each application to generate the XML message required to meet that data structure.

Currently, some of the Master Data Management platforms (such as Siperian, Initiate Systems, Oracle and IBM) provide excellent SOA libraries of web services.

With some work by the end customer, these products can provide a standard set of data services at the application level. We believe this approach ultimately will give you more flexibility and adaptability than EAI-based integration.


Consolidation of Data Quality and Data Integration

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In a recent article, we covered the importance of data integration to Master Data Management (MDM).

This article elaborates on that in the context of today’s software market, and talks about how the visionary data integration vendors are scrambling to acquire and offer data quality as part of their integration suites.

Historically, data quality initiatives have been rolled out only on a project-by-project basis, while integration initiatives have been point-to-point application integration projects.

But more recently, as MDM programs have started gaining momentum, there is a need being felt in the marketplace for a single platform that can integrate data from multiple sources across the enterprise (web, data warehouse, ERP, CRM, legacy systems and systems from acquired companies) as well as run sophisticated data quality processes on these sources.

This requirement allows for a single administration console and metadata repository, as well as common transformations, user interface and a unified developer workbench, all on a single, combined integration and data quality platform.

This vision is consistent with moving towards a Service-Oriented Architecture as well, and is very conducive to providing a single environment for “data as a service” that is trusted and consistent across sources.

The customer tends to love it, since an integrated platform like this generally implies lower Total Cost of Ownership and smaller IT costs than standalone integration and data quality investments, and more rapid software development cycles.

The MDM vendor, if not providing such a platform itself, loves it since it can focus on what it does best, i.e. matching, merging and building data hierarchy.

Recognizing the above need, California-based Informatica Corporation acquired identity resolution vendor Identity Systems, while Massachusetts-based Trillium Software acquired address cleansing vendor Global Address. These are just two examples of recent data integration and data quality market convergence.

And the acquisition of Group 1 Software by Pitney Bowes provides more evidence of this shift.  In the process, niche data quality players are finding it more difficult to compete in such a dynamic marketplace.

If you’re considering acquiring a data quality tool for a corporate initiative, consider the above dynamics. And we’d love to hear your thoughts via comments on this article.


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