Thursday Mar 27, 2014

Join Oracle at Gartner Enterprise Information and Master Data Management Summit!

 


Join Oracle at this year’s Gartner Enterprise Information & Master Data Management Summit! It is the world's very first conference to provide the broadest and deepest research on enterprise information and master data management anywhere. A must-attend for data and information management professionals, the 2014 summit offers intensive analysis and insight that will help you achieve a deeper understanding of the tools and technologies needed to implement, manage and grow successful initiatives and programs. The summit’s comprehensive tracks address all levels of MDM and enterprise information maturity.


Oracle is a sponsor at this event and look forward to having you come visit us at our Oracle booth for an opportunity to look at what’s new with our products and solutions.  Please plan on attending our session on “Head in the Cloud, Feet on the Ground”. A session not to be missed!

Social data, machine-generated data, geo location data – all flavors of big data – are generating the question, what do I DO with all that data? Now that strategies for collecting it and storing it are in place, how do you make sense of it? How, specifically, can we inspect those vast reservoirs of data to extract the nuggets of actionable information that create value? That’s the focus of our session at the Gartner MDM conference, how MDM helps to filter big data, identify multiple overlapping profiles and store new attributes that enrich the master record

Title: “Head in the Cloud, Feet on the Ground”

Speaker: John Parker, Oracle Corporation

Date: Friday, April 4, 2014

Start Time: 9:15a.m.

End Time: 9:45a.m.

Location

Venetian Resort Hotel and Casino

Palazzo D

For more information on Gartner and our Oracle track details, please visit us here!

Friday Mar 21, 2014

Master Data Management: How to Avoid Big Mistakes in Big Data

Big Data Quality MDM

Master Data Management: How to Avoid Big Mistakes in Big Data

The paradigm-changing potential benefits of big data can't be overstated—but big changes can deliver big risks as well. For example, exploding data volumes naturally create a corresponding increase in data correlations, but as leading experts warn, correlations should not be mistaken for causes.

To avoid drawing the wrong conclusions from big data, organizations first need a way to assemble reliable master data to analyze. Then they need a way to put those conclusions and that data to work operationally, in the systems that govern and facilitate their day-to-day operations.

Master data management (MDM) helps deliver insightful information in context to aid decision-making. It can be used to filter big data, isolating and identifying key entities and shrinking the dataset to a manageable size for parsing, tagging, and associating with operational system records. And it provides the key intersecting point that enables organizations to map big data results to operational systems that are built on relational databases and structured information.

Adopting master data management capabilities helps organizations create consolidated, consistent, and authoritative master data across the enterprise, enabling the distribution of master information to all operational and analytical applications, including those that contain customer, product, supplier, site, and financial information.

Oracle Master Data Management drives results by delivering the ability to cleanse, govern, and manage the quality and lifecycle of master data.

To learn more about the importance of MDM as an underlying technology that facilitates big data initiatives, read an in-depth Oracle C-Central article, "Masters of the Data: CIOs Tune into the Importance of Data Quality, Data Governance, and Master Data Management."

And don't miss the new Oracle MDM resource center. Visit today to download white papers, read customer stories, view videos, and learn more about the full range of features for ensuring data quality and mastering data in the key domains of customer, product, supplier, site and financial data.

Thursday Mar 13, 2014

Join Us for a Webcast: Enterprise Best Practices for Complex Multi-Chart/Multi-Ledger Organizations


Wednesday, March 19, 2014
2:00 PM – 3:00 PM EST
View your local time
Live Webcast
Register to watch at your desk!
Join Us for a webcast

Enterprise Best Practices for Complex Multi-Chart/Multi-Ledger Organizations

Like many industry leaders, organizations do a good job closing their books and managing change in their structures. Unfortunately, many of the processes put in place are manual and require many hours or planning, spreadsheet update and rework to address inconsistencies and additional change while the manual processes are being executed.

Diverse organizations, planning for record growth in 2014 and support many different general ledgers and/or multiple charts of accounts, have a complex challenge managing corporate reporting hierarchies and financial consolidation mappings. In this session you will learn how to:
  • Automate key manual processes to drive growth
  • Handle hierarchical change and re-organizations
  • Understand Data Governance concerns and strategies

Join Oracle, AdvancedEPM and General Dynamics for this informative webcast as we discuss key issues around how to automate change in your business. General Dynamics achievements included:
  • Reduced Planning Cycles by 30%
  • Reduced Re-Organizations, and What-If Modeling by 25%
  • Delegated maintenance responsibility to business experts most familiar with change events
  • Consolidated & rationalized corporate and divisional hierarchies across many different sources
  • Pushed hierarchies and other reference data (in multiple formats) to many downstream apps
  • Standardized hierarchies, business rules, and data validations
  • Provided better analysis tools to support Re-Orgs, M&A activity, etc.

About the Speaker

Ed Cody is a seasoned IT business manager having over 10 years of experience working with Hyperion EPM and Oracle BI applications. Ed is the author of 2 books on Hyperion products, and has consulted in both commercial and government organizations. Ed was instrumental in the development of General Dynamics "BI/EPM Center of Excellence" and award winning "BI Collaborative", he has leveraged DRM in concert with Oracle E-Business, Oracle BI, and EPM solutions to provide easy-to-use and effective master data management solutions across General Dynamics.

Register Now!


EPM


Friday Mar 07, 2014

Master Data Management and Big Data: Perfect Together!

By Gino Fortunato

Master Data Management and Big Data: Perfect together!

The 'hot' button around gathering customer insight is Big Data.  And justifiably so.  Using Big Data is a great way to harness previously unusable data to look for patterns in the data crumbs that customers leave behind.  By rapidly processing this data in real time, Big Data allows customer insight that was previously impossible. 

Much of this insight is statistical.  Customers have similar patterns.  They abandon shopping carts when something is out of stock or when they see the final price.  At least compared to other points of the buying process.  It's just human nature.  By using statistical and other techniques, driving insight about what the customer is doing, or might be doing next, can drive a lot of value. 

But wouldn't it be great to use that Big Data insight along with what you already know about that customer?  That's where MDM comes in.  MDM is the spot to operationalize what you already know about the customer.  By using what you already know, plus the insight you have gleaned from Big Data, you can make informed decisions about how to react to the customer's next click.  And do it in real time.   To properly use the insight, it is necessary to properly idenfity the customer.  Again, an area that master data management can help.  With it's built in identity resolution capabilities, MDM can help in two ways.  One is to add to what is being derived based on the Big Data source.  The other is to prevent mistakes when the statistical analysis is wrong.  For example, the customer surfing the gaming site may be grouped into a category that has a number of traits.  One of those traits might be an expected age range.  But if the organization knew the birthdate of the person was outside that age range, they can propose different cross sell/ upsell possiblities and perhaps lead to the discovery of a new subcategory to further open the market.

To learn more about the importance of MDM as an underlying technology that facilitates big data initiatives, read an in-depth Oracle C-Central article, "Masters of the Data: CIOs Tune into the Importance of Data Quality, Data Governance, and Master Data Management."







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