Monday Oct 22, 2012

Master Data and Data Quality - Do You Really Know Your Customer?

How well do you know your customer?   Data Quality and MDM go hand-in-hand when it comes to fully knowing your customers and information related to the Take a look at this video and see why customer data needs a consolidated management strategy that incorporates data quality.  Oracle MDM, specifically Oracle Customer Hub enables enterprises to truly understand their customers and ensure a single, trusted view for any customer.  It offers the most complete MDM application suite in the marketplace.  For more information on Oracle MDM and Oracle Enterprise Data Quality visit us on the web.

 

Monday Oct 15, 2012

Oracle Master Data Management at OOW 2012: A Look Back

Oracle Master Data Management had a great showing at OOW 2012 ! Special thanks to our customers and partners for presenting with us, sharing their use cases and successes as well as co-sponsoring events.  Almost every session at the show featured a customer and the tremendous success or transformation Oracle MDM resulted in at their organization.

 

At the DemoGrounds, Oracle MDM saw tremendous interest with many individuals enquiring to see demos, and have their technical questions answered.  The demos provided a perfect opportunity to showcase technical enhancements as well as what features are on the horizon.The MDM customer appreciation dinner event was a smashing success as cusotmers and partners enjoyed a spectacular water view, fine dining and cocktails and one of San Francisco's finest restaurants - The Water Bar. 

  In a short while the planning for next year's OpenWorld will be under full swing and we can't wait to get started.  See you at OOW 2013!!

 

 

Monday Oct 08, 2012

The MDM Journey: From the Customer Perspective

Master Data Management is more than just about a single version of  the truth or providing a 360 degree view of the customer.  It spans multiple domains ranging from customers to suppliers to products and beyond.  MDM is pivotal to providing a solid customer experience - one that results in repeat business, continued loyalty and last but not least - high customer satisfaction.  Customer experience is not only defined as accurate information about the customer for the enterprise, but also presenting the customer with the right information about products, orders, product availability, etc.   Let's take a look at a couple of customer use cases with Oracle MDM.

Below is a picture from a recent customer panel:

Oracle MDM is a key platform for increasing upsell/cross-sell opportunities, improve targeting of customers and uncover new sales opportunies, reduce inaccuracies in mailing marketing materials to prospects, as well as to tap into and uncover the full value of a customer across business units more accurately.  A leading investment and private bank leverages Oracle MDM to do a better job of identifying clients, their levels of investment as well as consistently manage them through a series of areas such as credit, risk, new accounts, etc. Ultimately, they are looking to understand client investments and touchpoints across the company's offerings.  Another use case for Oracle MDM is with a major financial and insurance services company with clients worldwide, looking to resolve customer data inaccuracies and client information stored differently across mulitiple systems. 

For more information on Oracle Master Data Management, click here.  

Sunday Sep 30, 2012

Vitality of Product Information Management Showcased at OpenWorld 2012

 By Sachin Patel

Can you hear the countdown clock ticking!! OpenWorld 2012 is almost here and as I write this Oracle is buzzing with fresh new ideas and solutions that will be showcased this year. What an exciting time for all of us to be in midst of a digital revolution. Whether it is Apple fans clamoring to find every new feature that has been added to the iPhone 5 or a startup launching a new digital thermostat (has anyone looked at the new one from Nest ), product information is a vital for companies to grow and compete in this cut-throat market. Customer today struggle to aggregate and enrich this product data from the myriad of systems they have in place to run their businesses and operations. Having a product information strategy is paramount to align your sales channels and operations with the most accurate and upto date product data.

We have a number of sessions this year at OpenWorld where you can gain more insight into how Oracle’s next generation of Fusion Applications, in this case Fusion Product Hub can provide you with a solution to streamline and get control of your Product Master Data.

Enabling Trusted Enterprise Product Data with Oracle Fusion Product Hub
Tuesday, October 2nd 11:45 am, Moscone West 2022

Join me Sachin Patel, Director of Product Strategy and Milan Bhatia, VP of Development as we discuss how you can enable trusted product master data in your enterprise. In this session we plan to cover the challenges companies face today in mastering product data. The discussion will also include how Fusion Product Hub brings new and innovative features to empower your product data owners to create a holistic and rich product definition that can be leveraged across your enterprise. We will also be joined by Pawel Fidelus from Fideltronik an Early Adopter for Fusion Product Hub who will showcase their plans to implement Fusion Product Hub and the value it will bring to Fideltronik

Multichannel Fulfillment Excellence in Direct-to-Consumer Market Thursday, October 4th, 12:45 am, Moscone West 2024

Do you have multiple order capture systems? Do you have difficulty in fulfilling orders for your customers across various channels and suppliers? Mark Carson, Director, Fusion DOO and Brad Kerr, Director, AGSS will be showcasing the Fusion Distributed Order Orchestration solution and how companies can orchestrate orders from multiple order capture systems and route them to the appropriate fulfillment system. Sachin Patel, Director Product Strategy for Product MDM will highlight the business pain points in consolidating and commercializing data from a Multi Channel Commerce point of view and how Fusion Product Hub helps in allowing you to provide a single source of truth to drive a singular and rich customer experience.

Oracle Fusion Supply Chain Management: Customer Adoption and Experiences                                                Wednesday, October 3rd 10:15 am, Moscone West 2003

This is a great session to attend to learn about how Fusion Supply Chain Management and Fusion Product Hub Early Adopters, including Boeing and Fideltronik are leveraging Fusion Applications to improve their Supply Chain operations.

Have a great OpenWorld and see you soon!!

Thursday Sep 27, 2012

Oracle Product Hub: Customer Perspectives at the OpenWorld

 By Rohit Tandon

The Oracle Product Hub (OPH) Product Strategy team will be hosting a customer session dedicated to OPH at Oracle Openworld. Oracle Product Information Management strategy team will have the pleasure to present this session with Motorola Mobility Solutions.  .

In this session, you will hear how Motorola Solutions utilizes OPH to meet their IT and business needs. Arif Girniwala, (MDM Lead, Motorola) and Chirag Jariwala (Manager, Deloitte Consulting) will cover the following topics amongst others:

  1. How does Motorola Solutions decide on what is Product Master Data for their enterprise?
  2. What are the Data Governance structures, Users, User roles, User Security etc. within Motorola Solutions? 
  3. How does Motorola Solutions integrate, synchronize and leverage OPH with Agile PLM?

      4.  What is the Oracle Product Hub strategy and roadmap (Speaker - Sachin Patel, Director Oracle Product Hub Strategy)

      5.  What are the implementation best practices for Oracle Product Hub (Speaker - Srikant Bevara, Sr. Manager, Oracle   Product Hub product management)

If you're interested in hearing more about the above then I recommend attending this session:

Customer Perspectives: Master Product Data: Strategies for Effective Product Information Management with Motorola Mobility Solutions (CON8834)

Tuesday October, 2nd 10:15am - 11:15am

Moscone West - 3001

We hope to see you at OOW 2012 and stay in touch via our future blogs!  For a list of all Oracle MDM sessions click here


Wednesday Sep 26, 2012

The Oracle MDM Portfolio & Strategy Session - It All Comes Down to Master Data

 By Narayana Machiraju

We are less than a week now from the start of Oracle Open World 2012 and I would like to introduce you all to one of the most awaited MDM strategy sessions this year titled “What’s there to Know about Oracle’s Master Data Management Portfolio and Roadmap?”. Manouj Tahiliani, Senior Director of MDM Product Strategy provides you a complete picture of the Oracle MDM Portfolio, the Product releases, the Strategy and the Roadmaps.

Manoj will be discussing Oracle Fusion MDM applications, the first enterprise-grade SaaS MDM product suite. You’ll hear strategies for leveraging MDM and data quality in the enterprise and how you can derive business value by deploying an MDM foundation for strategic initiatives such as customer experience management, product innovation, and financial transformation. And as a bonus, he is also going to discuss the confluence of MDM with emerging technologies such as big data, social, and mobile.

The session is co-presented by GEHC and Westpac. Tony Craddock from Westpac is going to share the insights of their MDM Implementation in the lines of Business drivers, data governance, ROI and other important implementation considerations. A reprsentative from GEHC is going to talk about their MDM journey and the multi-domain MDM story. I strongly recommend yo not miss this important session


The MDM track at Oracle Open World covers variety of topics related to MDM. In addition to the product management team presenting product updates and roadmap, we have several Customer Panels, Conference sessions and Customer round table sessions featuring a lot of marquee Customers. You can see an overview of MDM sessions here

Monday Sep 24, 2012

Looking to Implement/Upgrade Your MDM Solution? OOW Has the Session For You

By Bala Mahalingam 

Hurray!  Oracle Open World next week.  Oh my God!  I need to plan my calendar for MDM focused sessions. The implementation/upgrade of Oracle Master Data Management solution is an art & science combined.

This year at Open World, we have a dedicated session focused on sharing two great implementation stories of Oracle Customer Hub. Also hear from Oracle on the implementation/upgrade approach and methodology for Oracle Master Data Management and Data Quality applications.

Here are some of the questions that you might be thinking around the implementation of Oracle MDM solution.

If you are in the process of implementation / upgrade or evaluating the options for implementation of MDM solution and you would like to hear directly from T-Mobile and Sony on their roadmap and implementation experience, then I would highly recommend this session.

 

 

Hope to see you at Oracle Open World 2012 and stay in touch via our future blogs. Look here for a list of all the MDM sessions at OpenWorld.

Thursday Sep 20, 2012

Oracle Enterprise Data Quality - Geared Up and Ready for OpenWorld 2012

10 days and counting till Oracle OpenWorld 2012 is upon us.  Enterprise data quality is key to every information integration and consolidation initiative. At this year's OpenWorld, hear how Oracle Enterprise Data Quality provides the critical piece to achieving trusted, reliable master data and increases the value of data integration initiatives. Here are the different ways you can learn and experience Enterprise Data Quality at OpenWorld: 

Conference sessions:

  • Oracle Enterprise Data Quality: Product Overview and Roadmap - Monday 10/1/12, 1:45-2:45 PM - Moscone West - 3006
  • Data Preparation and Ongoing Governance with the Oracle Enterprise Data Quality Platform - Wednesday 10/3/2012, 1:15-2:15 PM - Moscone West - 3000 
  • Data Acquisition, Migration and Integration with the Oracle Enterprise Data Quality Platform - Thursday 10/4/2012, 12:45-1:45 PM - Moscone West - 3005 
  • Hands on Labs: Introduction to Oracle Enterprise Data Quality Platform -  Monday 10/2/2012, 4:45-5:45 PM - Marriot Marquis - Salon 1/2

    Demos:  Trusted Data with Oracle Enterprise Data Quality - Moscone South, Right - S-243 (note: proceed to Middleware Demo grounds)

For a list of Master Data Management and Data Quality sessions and other events click here

Wednesday Jun 06, 2012

Oracle Enterprise Data Quality: Ever Integration-ready

It is closing in on a year now since Oracle’s acquisition of Datanomic, and the addition of Oracle Enterprise Data Quality (EDQ) to the Oracle software family. The big move has caused some big shifts in emphasis and some very encouraging excitement from the field.  To give an illustration, combined with a shameless promotion of how EDQ can help to give quick insights into your data, I did a quick Phrase Profile of the subject field of emails to the Global EDQ mailing list since it was set up last September. The results revealed a very clear theme:

 

Integration, Integration, Integration!

As well as the important Siebel and Oracle Data Integrator (ODI) integrations, we have been asked about integration with a huge variety of Oracle applications, including EBS, Peoplesoft, CRM on Demand, Fusion, DRM, Endeca, RightNow, and more - and we have not stood still! While it would not have been possible to develop specific pre-integrations with all of the above within a year, we have developed a package of feature-rich out-of-the-box web services and batch processes that can be plugged into any application or middleware technology with ease. And with Siebel, they work out of the box.

Oracle Enterprise Data Quality version 9.0.4 includes the Customer Data Services (CDS) pack – a ready set of standard processes with standard interfaces, to provide integrated:

  • Address verification and cleansing
  •  Individual matching
  • Organization matching

The services can are suitable for either Batch or Real-Time processing, and are enabled for international data, with simple configuration options driving the set of locale-specific dictionaries that are used. For example, large dictionaries are provided to support international name transcription and variant matching, including highly specialized handling for Arabic, Japanese, Chinese and Korean data. In total across all locales, CDS includes well over a million dictionary entries.

 

Excerpt from EDQ’s CDS Individual Name Standardization Dictionary

CDS has been developed to replace the OEM of Informatica Identity Resolution (IIR) for attached Data Quality on the Oracle price list, but does this in a way that creates a ‘best of both worlds’ situation for customers, who can harness not only the out-of-the-box functionality of pre-packaged matching and standardization services, but also the flexibility of OEDQ if they want to customize the interfaces or the process logic, without having to learn more than one product. From a competitive point of view, we believe this stands us in good stead against our key competitors, including Informatica, who have separate ‘Identity Resolution’ and general DQ products, and IBM, who provide limited out-of-the-box capabilities (with a steep learning curve) in both their QualityStage data quality and Initiate matching products.

Here is a brief guide to the main services provided in the pack:

Address Verification and Standardization

EDQ’s CDS Address Cleaning Process

The Address Verification and Standardization service uses EDQ Address Verification (an OEM of Loqate software) to verify and clean addresses in either real-time or batch. The Address Verification processor is wrapped in an EDQ process – this adds significant capabilities over calling the underlying Address Verification API directly, specifically:

  • Country-specific thresholds to determine when to accept the verification result (and therefore to change the input address) based on the confidence level of the API
  • Optimization of address verification by pre-standardizing data where required
  • Formatting of output addresses into the input address fields normally used by applications
  • Adding descriptions of the address verification and geocoding return codes

The process can then be used to provide real-time and batch address cleansing in any application; such as a simple web page calling address cleaning and geocoding as part of a check on individual data.

 Make your database records mappable with MapMarker Plus.

 

Duplicate Prevention

Unlike Informatica Identity Resolution (IIR), EDQ uses stateless services for duplicate prevention to avoid issues caused by complex replication and synchronization of large volume customer data. When a record is added or updated in an application, the EDQ Cluster Key Generation service is called, and returns a number of key values. These are used to select other records (‘candidates’) that may match in the application data (which has been pre-seeded with keys using the same service). The ‘driving record’ (the new or updated record) is then presented along with all selected candidates to the EDQ Matching Service, which decides which of the candidates are a good match with the driving record, and scores them according to the strength of match. In this model, complex multi-locale EDQ techniques can be used to generate the keys and ensure that the right balance between performance and matching effectiveness is maintained, while ensuring that the application retains control of data integrity and transactional commits.

The process is explained below:

EDQ Duplicate Prevention Architecture

Note that where the integration is with a hub, there may be an additional call to the Cluster Key Generation service if the master record has changed due to merges with other records (and therefore needs to have new key values generated before commit).

Batch Matching

In order to allow customers to use different match rules in batch to real-time, separate matching templates are provided for batch matching. For example, some customers want to minimize intervention in key user flows (such as adding new customers) in front end applications, but to conduct a more exhaustive match on a regular basis in the back office. The batch matching jobs are also used when migrating data between systems, and in this case normally a more precise (and automated) type of matching is required, in order to minimize the review work performed by Data Stewards.  In batch matching, data is captured into EDQ using its standard interfaces, and records are standardized, clustered and matched in an EDQ job before matches are written out. As with all EDQ jobs, batch matching may be called from Oracle Data Integrator (ODI) if required.

When working with Siebel CRM (or master data in Siebel UCM), Siebel’s Data Quality Manager is used to instigate batch jobs, and a shared staging database is used to write records for matching and to consume match results. The CDS batch matching processes automatically adjust to Siebel’s ‘Full Match’ (match all records against each other) and ‘Incremental Match’ (match a subset of records against all of their selected candidates) modes.

The Future

The Customer Data Services Pack is an important part of the Oracle strategy for EDQ, offering a clear path to making Data Quality Assurance an integral part of enterprise applications, and providing a strong value proposition for adopting EDQ. We are planning various additions and improvements, including:

  • An out-of-the-box Data Quality Dashboard
  • Even more comprehensive international data handling
  • Address search (suggesting multiple results)
  • Integrated address matching

The EDQ Customer Data Services Pack is part of the Enterprise Data Quality Media Pack, available for download at http://www.oracle.com/technetwork/middleware/oedq/downloads/index.html.

Tuesday Mar 27, 2012

Oracle Enterprise Data Quality Address Verification Server Makes its Debut and Joins Oracle Enterprise Data Quality

See full size imageData quality – has many flavors to it.  Product, Customer – you name the data domain and there’s data quality associated with it.  Address verification and data quality are a little different.  in that there is a tremendous amount of variation as well as nuance attached to it.  Specifically, what makes address verification challenging is that more often than not, addresses are incomplete, riddled with misspellings, incorrect postal codes are assigned to locations or non-address items are present.  Almost all data has locations, and accurate locations power a wealth of business processes: Customer Relationship Management, data quality, delivery of materials, goods or services, fraud detection, insurance risk assessment, data analytics, store and territory planning, and much more.

Oracle Enterprise Data Quality Address Verification Server provides location-based services as well as deeper parsing and analysis capabilities for Oracle Enterprise Data Quality.  Specifically, Pre-integrated with the EDQ platform, Oracle Address Verification Server provides robust parsing, validation, as well as specialized location information for over 240 countries – all populated countries on Earth. 

Oracle Enterprise Data Quality (EDQ) is a data quality platform, dedicated to address the distinct challenges of customer and product data quality, and performs advanced data profiling to identify and measure poor quality data and identify rule requirements, as well as semantic and pattern-based recognition to accurately parse and standardize data that is poorly structured.   EDQ is integrated with Oracle Master Data Management, including Oracle Customer Hub and Oracle Product Hub, as well as Oracle Data Integrator Enterprise Edition and Oracle CRM. 

Address Verification Server provides key address verification services for Oracle CRM and Oracle Customer Hub.  In addition, Address Verification Server provides greater accuracy when handling address data due to its expanded sources and extensible knowledge repository, solid parsing across locales and countries as well as  adept handling of extraneous data in address fields.  For more information on Oracle Address Verification Server visit:  http://bit.ly/GMUE4H and http://bit.ly/GWf7U6

Oracle Enterprise Data Quality: A Leader in Customer Satisfaction

It’s always good to hear feedback from practitioners – the ones who are in the trenches who have experienced both the good and the bad sides of enterprise software. Gartner recently released a report which surveyed 260 data quality professionals from around the world and found that most expressed considerable satisfaction as a whole from their data quality tool vendors. However, a couple of key findings stand out which include, Datanomic (acquired by Oracle), leading the pack in terms of overall customer satisfaction among data quality tools. Read all about it right here http://bit.ly/Ay45SG

See full size image

Tuesday Dec 06, 2011

All the Ingredients for Success: Data Governance, Data Quality, Master Data Management

Recently Oracle sponsored a study from an independent analyst firm, Dan Power, from Hub Designs, All the Ingredients for Success: Data Governance, Data Quality and Master Data Management. Please click to download this latest paper from our Oracle Master Data Management resource kit. This paper discusses the role the data quality plays as an equal component of an enterprise information management or master data management initiative, typical business considerations for data quality, as well as best practices for integrating multi-domain MDM with customer/party data quality and product data quality.

Excerpt from the paper:

Today, businesses need to have the Single View of their master data, and to be able to “Create Once, Use Many” in order to be lean, and indeed, to survive. The silos that are still so prevalent do nothing but increase costs, hurt business and IT agility, and result in bad decisions being made (because of low quality, inaccurate, inconsistent data). If we implement Enterprise Data Quality tools, master data management solutions, and remember that these technologies must be driven by business-led data governance organizations, we’ll be able to break down those silos, and have enterprise-wide master data repositories that lead to streamlined processes, lower costs, better decisions, and more agile organizations that can compete better in global markets.

A quick example: A UK travel company restated its 2009 financial results due to issues arising from using two separate IT systems after the 2007 merger of two companies, in the amount of $191.8 million US dollars (£117m). This type of persistent operating silo is all too common in the companies I see, but this is probably a worst case scenario. But look for those costs that MDM, data governance and data quality can help your enterprise avoid, the revenue increases they can help you realize, and the compliance improvement and agility increases they can bring to your company. Those reductions, improvements and increases are very real. I’ve worked with enough companies now to know firsthand that MDM is not a fad or a trend, but a real force in the marketplace. And it’s experiencing growth of 18% at a time when the enterprise software market as a whole is only growing at about 5.6%.

Download the entire paper today.

 Or learn more about Oracle’s MDM strategy by going to www.oracle.com/goto/mdm

Saturday Nov 19, 2011

Reduce ERP Consolidation Risks with Oracle Master Data Management

Reducing the Risk of ERP Consolidation starts first and foremost with your Data.This is nothing new; companies with multiple misaligned ERP systems are often putting inordinate risk on their business. It can translate to too much inventory, long lead times, and shipping issues from poorly organized and specified goods. And don’t forget the finance side! When goods are shipped and promises are kept/not kept there’s the issue of accounts. No single chart of counts translates to no accountability.

So – I’ve decided. I need to consolidate!

Well, you can’t consolidate ERP applications [for that matter any of your applications] without first considering your data. This means looking at how your data is being integrated by these ERP systems, how it is being synchronized, what information is being shared, or not being shared. Most importantly, making sure that the data is mastered. What is the best way to do this? In the recent webcast: Reduce ERP consolidation Risks with Oracle Master Data Management we outlined 3 key guidelines:

#1: Consolidate your Product Data

#2: Consolidate your Customer, Supplier (Party Data)

#3: Consolidate your Financial Data

Together these help customers achieve reduced risk, better customer intimacy, reducing inventory levels, elimination of product variations, and finally a single master chart of accounts. In the case of Oracle's customer Zebra Technologies, they were able to consolidate over 140 applications by mastering their data. Ultimately this gave them 60% cost savings for the year on IT spend.

Oracle’s Solution for ERP Consolidation: Master Data Management

Oracle's enterprise master data management (MDM) can play a big role in ERP consolidation. It includes a set of products that consolidates and maintains complete, accurate, and authoritative master data across the enterprise and distributes this master information to all operational and analytical applications as a shared service.

It’s optimized to work with any application source (not just Oracle’s) and can integrate using technology from Oracle Fusion Middleware (i.e. GoldenGate for data synchronization and real-time replication or ODI with its E-LT optimized bulk data and transformation capability). In addition especially for ERP consolidation use cases it’s important to leverage the AIA and SOA capabilities as part of Fusion Middleware to connect these multiple applications together and relay the data into the correct hub.

Oracle’s MDM strategy is a unique offering in the industry, one that has common elements across the top and bottom in Middleware, BI/DW, Engineered systems combined with Enterprise Data Quality to enable comprehensive Data Governance at all levels. In addition, Oracle MDM provides the best-in-class capabilities to master all variations of data, including customer, supplier, product, financial data. But ultimately at the center of Oracle MDM is your data, making it more trusted, making it secure and accessible as part of a role-based approach, and getting it to make sense to you in any situation, whether it’s a specific ERP process like we talked about or something that is custom to your organization.

To learn more about these techniques in ERP consolidation watch our webcast or goto our Oracle MDM website at www.oracle.com/goto/mdm

Friday Nov 11, 2011

Bad Data is Really the Monster

Artist - DPFan4Ever

Bad Data is really the monster – is an article written by Bikram Sinha who I borrowed the title and the inspiration for this blog. Sinha writes:

“Bad or missing data makes application systems fail when they process order-level data. One of the key items in the supply-chain industry is the product (aka SKU). Therefore, it becomes the most important data element to tie up multiple merchandising processes including purchase order allocation, stock movement, shipping notifications, and inventory details… Bad data can cause huge operational failures and cost millions of dollars in terms of time, resources, and money to clean up and validate data across multiple participating systems.

Yes bad data really is the monster, so what do we do about it? Close our eyes and hope it stays in the closet?

We’ve tacked this problem for some years now at Oracle, and with our latest introduction of Oracle Enterprise Data Quality along with our integrated Oracle Master Data Management products provides a complete, best-in-class answer to the bad data monster.

What’s unique about it?

Oracle Enterprise Data Quality also combines powerful data profiling, cleansing, matching, and monitoring capabilities while offering unparalleled ease of use. What makes it unique is that it has dedicated capabilities to address the distinct challenges of both customer and product data quality – [different monsters have different needs of course!].

And the ability to profile data is just as important to identify and measure poor quality data and identify new rules and requirements. Included are semantic and pattern-based recognition to accurately parse and standardize data that is poorly structured. Finally all of the data quality components are integrated with Oracle Master Data Management, including Oracle Customer Hub and Oracle Product Hub, as well as Oracle Data Integrator Enterprise Edition and Oracle CRM.

Want to learn more? On Tuesday Nov 15th, I invite you to listen to our webcast on Reduce ERP consolidation risks with Oracle Master Data Management I’ll be joined by our partner iGate Patni and be talking about one specific way to deal with the bad data monster specifically around ERP consolidation. Look forward to seeing you there!

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