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Tweeting and feeling good about it - or effectiveness of marketing spend

Tweeting and feeling good about it - or effectiveness of marketing spend

I will be attending Kronos' user conference next week in Orlando - and when I got the customary what to do email from the vendor - I stumbled over a section mentioning some interesting marketing approach combining twitter buzz with charity.
 

In the email Kronos basically stated, that it would donate one US$ to a charity for every tweet containing the hashtag #KW2013 - up to a limit of 10k US$. That seemed to be a pretty innovative way to combine what every vendor wants - publicity on social media, in this case twitter, and attention by supporting a charity. 





I asked the Twittersphere this morning if anyone has seen something similar - and till now no one has come back - so kudos goes to Kronos for championing an innovative way to get attention on Twitter and equally making people feel good about tweeting as every tweet containing the hashtag will increase the amount of the donation.

Some more thoughts on the topic



  • There is always a trade-off between paying for social media attention and not over commercializing. The charity aspect takes away that conflict.
  • I am not a social media marketing expert - but I am guessing the never old chase of attractive return on marketing $s spent - is pretty good on these 10k US$. Advertise the hashtag and promote Kronos on Twitter may work, too - but my gut feel is, that it may have a worse return of marketing dollar spent.
  • Kronos could increase the attention of this (or maybe should) - by updating regularly on how much was already donated at point x of the conference. And then - assuming success - increase the total donation limit.
  • Lastly a vendor could get the twittersphere even more involved by asking to help find out which of e.g. three charities should receive the donation. So move from tweet to donate to tweet to where to donate - more involvement - more attention more social media buzz - that's what you want for a conference. 

MyPOV

Smart marketing spend by Kronos, kudos - and the first time I run this across - so well done and kudos for supporting a charitable course... and at least it got me to tweet about it - and even do a short blog post... 
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Measuring anonymity

Measuring anonymity

As we head towards 2014, de-identification of personal data sets is going to be a hot issue. I saw several things at last week's Constellation Connected Enterprise conference (CCE) that will make sure of this!

First, recall that in Australia a new definition of Personal Information (PI or "PII") means that anonymous data that can potentially be re-identified in future may have to be classified as PII today. I recently discussed how security and risk practitioners can deal with the uncertainty in re-identifiability.

And there's a barrage of new tracking, profiling and interior geo-location technologies (Apple's like iBeacon) which typically come with a promise of anonymity. See for example Tesco's announcement of face scanning for targeting adverts at their UK petrol stations.

The promise of anonymity is crucial, but it is increasingly hard to keep. Big Data techniques that join de-identified information to other data sets are able to ind correlations and reverse the anonymisation process. The science of re-identification started with the work of Dr Latanya Sweeny who famously identified a former governor and his medical records using zip codes and electoral roll data; more recently we've seen DNA "hackers" who can unmask anonymous DNA donors by joining genomic databases to public family tree information.

At CCE we saw many exciting Big Data developments, which I'll explore in more detail in coming weeks. Business Intelligence as-a-service is expanding rapidly, and is being flipped my innovative vendors to align (whether consciously or not) with customer centric Vendor Relationship Management models of doing business. And there are amazing new tools for enriching unstructured data, like newly launched Paxata's Adaptive Data Preparation Platform. More to come.

With the ability to re-identify data comes Big Responsibilities. I believe that to help businesses meet their privacy promises, we're going to need new tools to measure de-identification and hence gauge the risk of re-identification. It seems that some new generation data analytics products will allow us to run what-if scenarios to help understand the risks.

Just before CCE I also came across some excellent awareness raising materials from Voltage Security in Cupertino. Voltage CTO Terence Spies shared with me his "Deidentification Taxonomy" reproduced here with his kind permission. Voltage are leaders in Format Preserving Encryption and Tokenization -- typically used to hide credit card numbers from thieves in payment systems -- and they're showing how the tools may be used more broadly for de-identifying databases. I like the way Terence has characterised the reversibility (or not) of de-identification approaches, and further broken out various tokenization technologies.
 

Deidentification core Terence Spies Voltage Oct2013



Reference: Voltage Security. Reproduced with permission.

These are the foundations of the important new science of de-identification. Privacy engineers need to work hard at re-identification, so that consumers do not lose faith in the important promises made that so much data collected from their daily movements through cyber space are indeed anonymous.

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Runaway Capitalism

Runaway Capitalism

Chris-Meyer

"We have an opportunity to change the future"
Chris Meyer

At Constellation Research's Connected Enterprise 2013 author, businessman, and futurist Christopher Meyer compared modern U.S. capitalism to a peacock. To signal their superior genetic quality peacocks erect long trains of  eye-spotted feathers to form  shimmering fans of plumage. Such a extravagant displays limit the survival of the birds making them easier for predators to find. One species of peacocks already ornaments the IUCN list of endangered species.  

  Peacock-JeanM1

Photo Credit: Jean Mottershead

How could an animal evolve in such way? One explaination is that peacocks are following an evolutionary path called Fisherian runaway which is a theory of sexual selection that helps to explain traits that do not obviously increase survival. Meyer thinks, like the peacock,  our particular model of capitalism in the United States is following a similar path towards decline and eventual extinction.

Oligopoly

Since the fall of the Soviet Union the United States has sat at the center of an international trade, labor, and currency system which has dominated the world economy.  Yet this is changing. Low income economies in countries like China, India, and Brazil are growing much faster than the US and other countries at the center of this system.  They are also beginning to are take the overall lead in other repects.

Meyers believes that the excessive emphasis on growth of corporate profits  to the exclusion of all other measures  is creating the runaway economic effect in the United States. Signs of this he identified as:

Pseudocompetition

Companies look like they are competing when really they are not. Between the two of them AT&T and Verizon spend billions of dollars on advertising. But they do this not to attract customers from one another, but to raise the barrier to entry to new potential competitor. 

Seeing in Black and White

Indexing executive compensation to share price and putting pensions into the stock and bond market is blinding the well off to the true state of the society. They forget that bonds and equities are simply a promise that someone will have to be make good on someday to have any value.

Wealth Inequality in America

Its no surprise the gap between rich and poor is widening in the US. What is surprising is how Americans think income is actually distributed (much less how they think it should be distributed) is actually much better than the reality.

It is hard to argue that the US not would be a more successful society than these things were not true. Competition from companies in other parts of the world not sheltered by oligopoly is now threatening US business. Inequity is getting worse and even contains  the potential of a social revolution  and proves yet again it is not for nothing that economics has traditionally been called the "dismal science".

Yet Meyer is not discouraged. We solve most problems based on many constraints and if money doesn't buy happiness then why to we optimize our economy for profit anyway? He points to the Legatum Institute's prosperity index as another statistically significant way way to view our economy and cites examples of companies like Microsoft and General Electric using metics other than profit to benchmark their success.   

BookMeyer's talk was based on a book he co-authored with Julia Kirby called  Standing on the Sun. Their work was short listed last year by the Financial Times as one of the best books of 2012, and can be read by anyone who want to learn more about his thinking.

At the end of his talk Meyer predicted that new types of businesses – networked enterprises,  hybrids, not-for-profit, and emerging market newcomers –  will usher in a new and very possibly better form of capitalism that replaces the runaway capitalism of today by becoming less obsessed with return on equity and using broad-based measurements of success. He described how Adam Smith's invisible hand of the market could be replaced by the "invisible handshake" of collaborative networks where businesses take responsibility of what they now call "externalities" such as pollution. 

He also predicts the economy will be divided into two interdependent but distinct segments. A chaotic artistic generative sector that feeds a utility distributive sector (that owns the sales/marketing/distribution channels). The question is, when this happens where do you want to be?

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Webcast: Virtual Hives for Collaboration and Innovation

Webcast: Virtual Hives for Collaboration and Innovation

Yesterday I participated in the SAP Game-Changers broadcast, Virtual Hives for Collaboration and Innovation, where I provided my thoughts on the pros and cons of teams using collaboration tools to work together.  

Today'€™s buzz: The hive. Your search for the best talent no longer has to be limited to candidates within driving distance of your site. Now the world can be your proverbial workforce oyster. But before you salivate over the benefits of talent globalization and diversity, first be sure your HR knows what to do when traditional face-to-face team environments are augmented or replaced by virtual ways of working. The experts speak.

  • Alan Lepofsky, Constellation Research: "€™X percent reduction in email’ is not an effective measurement of social business success."
  • John Hagel III, Deloitte: "€œVirtual hives will never achieve their true potential until we move beyond process and protocol to passion and performance."
  • Jason Lauritsen, Talent Anarchy: "Technology is a tool, not a strategy."

Join them and SAP's Sameer Patel for insights on Working Models: Virtual Hives for Collaboration and Innovation.
 

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Paxata Revealed

Paxata Revealed

The week of 2013 October 28 was a big one for Paxata, Inc. Founded in January of 2012, followed by advisories, beta customers also known as "Pax Pros", and 12 sprints, Paxata quietly released their first GA product in May of 2013. With panels and debuts at the Strata + Hadoop conference in New York and other events, leading up to announcements and demonstrations at the Constellation Connected Enterprise at the Ritz Carlton in Half Moon Bay, California, Paxata officially left stealth mode, publicly discussing:

  • Five Blue Chip Customers: UBS, Dannon, Box, Pabst and $49 B High Tech Networking Manufacturer
  • Partnerships with Tableau, QlikTech and Cloudera
  • Adaptive Data Preparation Platform
  • Eight Million US Dollars in the latest round of funding led by Accel
  • Filling out the Management Team with Enterprise Software executives having backgrounds from SAP, Tableau and Hyperion

The most wondrous feature of the Paxata Adaptive Data Preparation Platform is how it adds semantic richness to one's data sets by automatically recommending and linking to third-party and freely available data. This allows one to bring in firmographic, demographic, social and machine data within the context of the user's goals. This is what truly allows the Paxata Adaptive Data Preparation Platform to go beyond data exploration and discovery.

Paxata has received a fair amount of press as well, some of which I've referenced below. However, all this press misses what is one of the most important additions Paxata makes to the toolboxes of Data Management & Analytics [DMA] professionals… the ability to present questions to the user that they may not have thought of on their own. Paxata was one of the companies that inspired my DataGrok blog post. Paxata was in stealth at the time, and couldn't be named then. Now, I'm happy to be able to write that Paxata is one of the few companies or projects building tools that allow the creator and user of data to go beyond data discovery, beyond data exploration, to being able to fully, deeply understand their data. Data discovery and data exploration tools allow one to determine if various data sets can answer the questions posed by business, engineering or scientific challenges. These tools go further by exposing data integrity issues among data sets or data quality problems within a data set. Some such tools might help the user find new data sets or how various data sources within an organization might fit together in a data warehouse. Some hark back to grep, sed and awk to parse textual data. Others provide probabilistic and statistical tools to determine the appropriate shape, distribution or density functions of a data set. But Paxata is one tool that does all these and more, and does it through your web browser in a collaborative fashion, maintaining the history of each collaborator's operations on the data sets.

When my partner, Clarise, and I were first briefed by Paxata in November of 2012, we were so excited that we stayed over three hours. The demonstration, of what was then a much rougher product than what you see today, incited both of us to exclaim how much we wished that we had this tool back in our DMA practitioner days. We were treated to a demonstration using the data from another Constellation Research customer with which we were familiar. Over a year later, we were treated to a pre-launch briefing using current data sets from that same customer. The ease of use, the pleasantness of the user experience, the simplicity with which one could complete complex tasks, from histograms to column-splitting, showed the maturity that Paxata had gained since our first exposure. What was most important to us, was that Paxata could show a solution for every need that we would like to see in the Adaptive Data Preparation Platform, drawing from our experiences in implementing data warehousing and business intelligence programs since 1996, as well as our decades of experience in computational statistics and operations research.

  • Collect and parse data of disparate types and sources including XML, JSON, Excel, Flat Files and relational databases
  • Pre-analyze and visualize the data sets
  • Combine different data sets
  • Separate data into patterns
  • Verify individual datum for integrity, quality, mastering and governance
  • Allow multiple IT and end-users to prepare and operate upon the data
  • Maintain the history of what each user [a.k.a. Pax Pro] does, and show that history to all other users

It allows data warehousing and BI extract, transform and load professionals, business analysts, data scientists, chemists, physicists, engineers, researchers, and professionals of all skills who work with data to completely understand and resonate with their data sets. The Paxata Adaptive Data Preparation Platform does what few other tools can do, it provides clues to what you didn't know to ask. It poses questions that the data can answer, but that you didn't think to ask. And it does all of this in a familiar looking interface, in HTML 5, in your favorite web browser, wherever you are, whenever you need it. In Paxata's words:

  1. Connect
  2. Explore
  3. Transform
  4. Combine
  5. Publish 

Paxata pricing is published and open. There are three subscriptions available:

  • Pax Personal
  • Pax Share
  • Pax Enterprise

Each of the Paxata subscriptions build upon the first, from an individual subscription to the ability for those with individual subscriptions to share in a single environment, to a full organization-wide subscription. Of course, what makes this possible, is that the Paxata Adaptive Data Preparation platform is available as a Cloud service, accessible through any modern HTML 5 web browser whether that's from a sophisticated, high-end workstation, a tablet or smart phone.

The main value comes not from a nice-looking, fairly intuitive interface, but from the underlying technologies that makes Paxata so useful: powerful Mathematics, Semantics and Graph Theory algorithms. The results of which are easily accessible through this Cloud-based, web experience, while the complexities are under the covers, not getting in the way. This fact is what makes the Adaptive Data Preparation Platform so accessible to business analysts, and other creators and users of data who are not PhD statisticians. Paxata uses proprietary algorithms that detect relationships among data sets, using probabilistic techniques to select the best joins, semantically typing the data so that it can intelligently enrich the data, clean the data and merge the data based upon context not just metadata. All of this is done in an ad hoc fashion, with no predefined models or schæmas needed. These proprietary algorithms make use of

  • Latent Semantic Indexing
  • Statistical Cluster Graphing
  • Pattern Recognition
  • Text Analytics
  • Machine Learning

Distributed computing and in-memory technologies allow these computational statistics algorithms to be,cost effectively executed in parallel, across massive data sets. Coupled with the advancements in visualization technologies, Paxata is able to address a 13.5-16 Billion dollar market over next three years, with extremely attractive pricing. The true return on investment from Paxata comes from flipping the DMA equation around. Currently, a common truism is that 80% of the time on a DMA, Data Science, DW or BI project is spent in preparing data; 20% in analyzing the data. Paxata reduces that data preparation percentage, such that 70% is analytics, 30% is preparation. This reduces not only the labor directly involved in preparing the data, but also allows an Agile framework to address significant business needs at the right time, in a sustainable fashion.

Paxata's strategy is to attach to the QlikView and Tableau markets that are being hampered from enterprise adoption because of these very data preparation challenges. Along with these partnerships, is the partnership with Cloudera, providing enterprise class access to modern, distributed data storage systems. Add connectors to common enterprise and external data sources and the third-party Paxata Enrichment Libraries, and it is obvious to the most casual observer that the Paxata Adaptive Data Preparation Platform addresses the most frustrating complaint of Data Scientists and Business Analysts alike: that too much of their time is spent on plumbing, whether directly or waiting for IT. We have long spoken about the need for IT to give up control of data, and realize that their most effective role is to provide a framework of success for end-users to fully, deeply understand and use their data to solve real problems. Paxata creates this framework for success.

Other Sources to learn about the Paxata launch:

  1. The Paxata Web Site
  2. Diginomica: Can Business Users control their data destiny? Paxata says yes
  3. GigaOM: With $10M from Accel, Paxata wants to make data prep a breeze
  4. VentureBeat: Paxata grabs $8M to help data scientists skip the dirty work
  5. YouTube: Paxata Customers and Partners Help Launch the Company
  6. YouTube: The Cube: Prakash Nanduri - Big Data NYC
Creative Commons License: Attribution, Non-Commercial, Share-AlikeExcept where otherwise noted, this content is
licensed under a Creative Commons License.

 

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Monday's Musings: The Chief Digital Officer In The Age Of Digital Business

Monday's Musings: The Chief Digital Officer In The Age Of Digital Business

Market Leaders and Fast Followers Prepare for Digital Business In 2014

Conversations at Constellation’s Connected Enterprise last week validate a larger trend in the market place.  The audience of 220+ early adopters with 75% representing line of business and 25% in IT highlighted the convergence of the five forces of consumerization described in 2009 and 2010.  This convergence of these five pillars of digital business now form the foundation of all future digital business strategy and drive customer experience, matrix commerce, future of work, data to decisions, consumerization of technology, and digital marketing (see Figure 1.).  In fact, market leaders and fast followers have embraced this strategic direction in their 2014 planning.

Figure 1. Convergence Of The Five Pillars Drive Digital Business Strategy

Emerging Trends In 2014 Digital Business Strategy Reflect The Shift To Digital Business

As Constellation works with leaders to define their 2014 business strategies, digital transformation plays a key role.  Many organizations will:

  1. Recognize that they no longer sell products and services, as buyers seek experiences and outcomes.
  2. Democratize the data to decisions pathway to enable innovation.
  3. Realize that B2B and B2C are dead. It’s a P2P and M2M world.
  4. Focus on context as right time relevancy beats real time information overload.
  5. Shift from engagement to personalization at scale.

(A full update will be posted in Harvard Business Review soon)

The Bottom Line: Organizations Can Expect The Rise Of Chief Digital Officers

The emergence of the chief digital officer is an essential role for the age of digital business.  Though the current debate often centers around CIO vs CMO, a pathway forward will involve a multidisciplinary approach.  Chief digital officers must understand:

  1. how to transform analog businesses into the five pillars of digital convergence.
  2. how to manage a world of trust and radical transparency
  3. how to develop an authentic business brand
  4. how to disrupt business models with digital technologies

While Constellation sees many media, entertainment, and technology organizations rapidly moving to a CDO role, other industries will eventually embrace a centralized champion that ensures  the digital business principles and policies are in concert with an organization’s overall strategy.  The rise of the chief digital officer is here.  Constellation expects those organizations that embrace this approach will differentiate themselves with higher margins, greater market share, and increased scale.

Your POV.

Are you ready to incorporate digital business transformation in your organization’s strategy?  Are you embarking on a digital business transformation?  Let us know how it’s going!  Add your comments to the blog or reach me via email: R (at) ConstellationR (dot) com or R (at) SoftwareInsider (dot) com.

Please let us know if you need help with your Augmented Reality, Customer Centricity, and Digital Business transformation efforts.  Here’s how we can assist:

  • Assessing customer centricty readiness
  • Developing your digital business strategy
  • Vendor selection
  • Implementation partner selection
  • Connecting with other pioneers
  • Sharing best practices
  • Designing a next gen apps strategy
  • Providing contract negotiations and software licensing support
  • Demystifying software licensing

Related Research:

Reprints

Reprints can be purchased through Constellation Research, Inc. To request official reprints in PDF format, please contact Sales .

Disclosure

Although we work closely with many mega software vendors, we want you to trust us. For the full disclosure policy, stay tuned for the full client list on the Constellation Research website.

* Not responsible for any factual errors or omissions.  However, happy to correct any errors upon email receipt.

Copyright © 2001 – 2013 R Wang and Insider Associates, LLC All rights reserved.
Contact the Sales team to purchase this report on a a la carte basis or join the Constellation Customer Experience!

 

 

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How to Build a Pop Up Screen in Siebel

How to Build a Pop Up Screen in Siebel

Alexander Hansal

In his Siebel Essentials blog, Alexander Hansal explains how to create a popup screen using the new UI  and uses Google Maps as an  example. He writes:

"I thought it is worthwhile to shift gears and do a customer info popup in Siebel CRM. Here is what my prototype looks like:

Google-maps-popup

As you can see from the screenshot above, the popup dialog displays a Google map, the account address, location and a link to the company website. Behind the top left corner of the dialog you can spot the Opportunity Account control and the label in orange color (which I choose to make it stand out from the other labels which don't offer the functionality).

As usual, I am going to explain my approach to implement it. "

You can read more at  jQuery UI Widgets in Siebel Open UI - Part 2: More Dialog

New C-Suite Tech Optimization Chief Information Officer

Consumerization of Identity WEBINAR

Consumerization of Identity WEBINAR

The Consumerization of Identity: A collision of Worlds

US: Nov 13 1:00-1:30PM Pacific
Aus: Nov 14 8:00-8:30AM AEDST
 

Consumerization ID pic Webinar (0 8 1)



Register here.

ABSTRACT

What happens when the irresistible force of Social Logon hits the immoveable object of enterprise risk management?

People love Social Logon! Twitter, Facebook and Google handles are used everyday to access countless digital services. But they are not yet "business grade". No enterprise should dilute its risk management by accepting social identities willy nilly.

This webinar will unpack what Social Logons tell us about users, compare and contrast Facebook and LinkedIn identities, and try to foresee how they should evolve if they are going to meet business needs.

CONTENTS

The webinar will cover:


  • What is the Consumerization of IT?
  • What is Federated Identity?
  • The State of the "identity ecosystem"
  • Pros and Cons of Federation
  • The Two Dimensions of Social Identities
  • What needs to happen for Social Logon to become "Business Grade"?

 

THE BOTTOM LINE

Consumers' understanding of their digital identities is evolving fast, while the social Identity Providers (IDPs) continue to explore how to monetize the privileged information that they have about their users. Online consumers have a keen sense of digital reputation and they appreciate how to build a powerful social graph; this awareness will soon inform business-grade identities. But even more importantly, social IDPs must prvide businesses precise information about users to help businesses manage transaction risk. Consumerization opens up exciting new possibilities, but it must not dilute the way businesses know their customers, parts, staff and users.

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How The Data Scientist restricts outcomes from Big Data and Analytics

How The Data Scientist restricts outcomes from Big Data and Analytics

1

Clearly the Data Scientist is the hottest job in the market. According the Harvard Business Review it is the hottest job of the 21st century http://hbr.org/2012/10/data-scientist-the-sexiest-job-of-the-21st-century/.  capioIT has written about the need for multi-dimensional skills in the Data Scientist -  In March I wrote A good data scientist may have a PhD. A great one offers a lot more. http://wp.me/p15cZf-5A.

However, it struck me this week that the technology and business environments surrounding BI, Analytics and of course Big Data, can create the perspective that the entire world and aura of the data scientist is simply wrong from both an organisational priority and execution point of view. The data scientist should not have to be a super part robot part human employee. This is a completely conflicted requirement when considering the hoped/hyped business potential of data and analytics.

I have long been a proponent for any initiative and R&D that drives the democratisation of Analytics and BI through the depth of the organisation. The more user friendly and efficient tools become the more likely that the right people will have the right tools and data in their hands to create Eureka moments for their business or organisation.

As a result BI and analytics vendors need to be dramatically more focused on allowing the breadth and depth of tools to be used by all. (I want to make it clear, I am not saying that this is just visualisation, pretty pictures whilst critical, are far from the entire story, data quality and governance processes are just as important for the democratisation of analytics).

Another perspective is to consider this. Did “The Business” create the data scientist or did technology limitations create it. I suspect that for most it is the latter, again proof of the disconnect between business and technology.

The organisation needs to shift the Data Scientist from an elite team to the largest number of employees possible. That way it will truly be maximising business outcomes and decision making. Surely this is a worthy goal that needs more focus.

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Webinar: Top 5 Strategies Every Siebel Customer Must Consider

Webinar: Top 5 Strategies Every Siebel Customer Must Consider

 Rimini_Street_Logo

Rimini Street, a third-party maintenance and support provider for enterprise software including Oracle Siebel will hold a Webinar called Top 5 Strategies Every Siebel Customer Must Consider on November 14th. According to a new Siebel report by Constellation Research, Oracle is sending mixed messages around the product’s future. This webinar will help you assess where you stand with Siebel and the top 5 strategy options you must consider to determine the direction of your Siebel implementation. 

What Will Be Covered

  • The real position Siebel technology holds in the market
  • Why the conventional wisdom about the product is often wrong
  • What trends are driving misconceptions in the market
  • How to assess your Siebel implementations and a move-forward strategy

Webinar Information

 When: Thusday November 14, 2013 at:

  • 10:00 a.m. US Pacific time
  • 11:00 a.m. US Mountain time
  • 12:00 a.m. US Central time
  • 01:00 a.m. US Eastern time

Webinar Information: To register for this complimentary webinar, go to: http://info.riministreet.com/SiebelWebinar111413-US.html?src=rsiwebsite&src_dt=webinar

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