Interview Dominic Pouzin Data Applied

Here is an interview with Dominic Pouzin, CEO of http://www.data-applied.com which is a startup making waves in the fields of Data Visualization.
meAjay – Describe your career in applied science. What made you decide to pursue a career in science? Some people think that careers in science are boring. How would you convince a high school student to choose a career in science?

Dominic- It’s important to realize that we are surrounded by products of science and engineering. By products of science, I mean bridges we cross on our way to work, video games we play for entertainment, or even the fabric of clothes we wear. Anyone who is curious should want to know how things really work. In that case, a scientific education makes sense, because it provides the tools necessary to understand and improve our world. I would also argue that a scientific training can also be a stepping stone towards high levels of achievements in other fields. For example, to become a financial wizard, a top patent attorney, or direct large clinical trials, a scientific education serves as a strong foundation. In addition, it’s probably easier to switch from science to another field than the other way round. Who wants to learn about matrix calculus in their forties? In my case, I graduated with a Masters in Computer Science degree, and spent 10 years at Microsoft leading software development teams for the Windows server, Exchange server, and Dynamics CRM product lines. I wish that, along the way, I had found time for a PhD in data mining, but years of practical software engineering experience also has its advantages.

Ajay- What advice would you give to someone who just got laid off, and is pondering whether he should / should not start a business?

Dominic- Working for a large company used to mean trading some autonomy for more stability and access to a wide array of resources. However, in this economy, the terms of the equation have changed. Many workers who lost their jobs found that this stability had disappeared. Others found that resources have become scarcer due to shrinking budgets. With this shift in the balance, entrepreneurship starts becoming more appealing.

Creating your own business might sound daunting, but for example creating a US Washington State LLC takes about 15 minutes, costs 200 dollars, and only requires an Internet connection. Managing payroll may sound like a big headache, but again specialized companies can handle all payroll matters on your behalf for only a few dollars a month. So while this part is relatively easy, you also need two things which are more difficult to come by:

a/ an unshakable belief in what you are trying to achieve, and

b/ a willingness to handle anything that comes your way.

You need to think like a commando solider who just landed on a beach: you’ve got great skills, but you’re alone, and can’t afford to fail. Practically, you may find yourself working for weeks or months with little or no income, and friends and family thinking that you are wasting your time. So, if necessary, try finding a co-founder to boost your confidence and motivate one another. Also, unless you want to spend most of your time chasing people for money, personal savings are a must.

Ajay- So describe your company. How does data visualization work? What differentiates your company from so many data visualization companies?

Dominic- We’re trying to stir things up a bit in terms of making it easier for regular business users to benefit from data mining. For example, we enable new “BI in the cloud” scenarios by allowing users to simply point a browser to access analysis results, or by allowing applications to submit and analyze data using an XML-based API. Built-in collaboration features, and more interactive visualizations, are also definitely part of our story.

Finally, while we focus on data mining (ex: time series forecasting, association rule mining, decision trees, etc.), we also make available other things such as pivot charts or tree maps. No data mining algorithm there, but why should business users care as long as the insight is there?

dataapplied_overview-500x326

To answer your question about visualization, most packages offer basic features such as the ability to pick colors, or to change labels, etc. For differences to emerge, you have to ask the right questions.

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Access: does visualization require an application to be installed on each computer? Our visualization work directly from a web page, so there is nothing to install (and upgrades are automatic).
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Search: can visualization results be searched, so as to enable drill-down scenarios? In the age of Google, we enable search everywhere, so that views can be constrained to what the user is looking for.
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Collaboration: can visualization results be tagged using comments, or shared with other users while securely controlling access, etc.? Visualization is only a starting point – chances are that you will need to talk to someone before analysis is complete – so we offer plenty of collaboration features.
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Export:how easy is it for a business user to present analysis results to management in a way that is understandable? We make it easy to export visualization content to a shared gallery, and as presentation-ready images.

There are a couple of other things we do as well in terms of interaction (ex: zoom, select, focus, smart graph layout), and a couple we don’t have yet (ex: geo-mapping, export to PDF).

But in conclusion, I would say that useful data visualization is as much about the way you present data (and that must be compelling!), as it is about how one accesses, searches, secures, shares, or exports visualizations.

Ajay- The technology sector was hit the hardest by the immigration of skilled workers. As a technology worker, what do you have to say about immigration? What do you have to say about outsourcing? Do you have any plans for selling your products outside the United States?

Dominic- I am a US permanent resident, half French, half British, and my wife is Indian. So you won’t find it surprising to hear that I am in favor of immigration. In 1996, as an engineering student in France, I made the unusual choice to study one year at the Indian Institute of Technology (Delhi).

In fact, I was the only one in my engineering college (France’s largest) to select India as a destination (my friends all went to the US, UK, Australia, Germany, etc.). Now that India has become a recognized player in the IT field, several dozen students from the same engineering college chose India as a destination. So I guess the immigration is starting to flow both ways!

Also, among the people I used to work with at Microsoft and who left to start a company, a good proportion are immigrants. So it’s important to recognize that immigrants not only help fill high-tech positions, but also create jobs.

Finally, as an entrepreneur trying to keep costs low, outsourcing is a tool you can’t afford to ignore. For example, websites such as http://www.elance.com provide easy access to the global marketplace. For those worried about quality, it’s possible to review customer ratings and portfolios. We keep track of visitors coming to our website, and the majority of the visitors to date have been from outside the US.

Ajay-  What is the basic science used by your company’s product?

Dominic – We use a client / server model. On the server, at the lowest level, we use SQL databases (accessed using ODBC), acting as data and configuration repositories.

Immediately above that sits a computing layer, which offers scalable, distributed data mining algorithms. We implement algorithms which scale well with the number of rows and attributes, but also properly handle a mix of discrete / numeric / missing values.

For example, just for clustering, the literature has some incredibly powerful algorithms (ex: WaveCluster, an algorithm based on wavelet transforms), but which also fail as soon as you enter real-world situations (ex: some fields are discrete).

On top of the computing layer sits a rich, secure web-based XML API, which allows users to manipulate analysis and collaboration objects, while enforcing security.

For the client, we built a web-based visualization application using Microsoft Silverlight. To ensure client / server communications are as efficient as possible, we use a fair amount of data compression and caching.

Ajay-  Who are your existing clients and what is the product launch plan for next year?

Dominic- We’re only in alpha mode right now, so our next customers are in fact beta testers. We’re still busy adding new features. It’s good to be small and nimble, it allows us to move quickly. Sorry, I can’t confirm any launch date yet!

Ajay-  What does the CEO of a startup company do, when he has free time (assuming he has any)?

Dominic- When you spend most of your time working on analytics, it’s sometimes hard to leave your analytical brain at work.

For example, I am sure that readers who come to your website and visit a casino can’t help themselves and immediately start calculating the exact odds of winning (instead of just having fun).

Among other things, I enjoy challenging friends to programming puzzles (actually, they’re recycled Microsoft interview questions). My current bedtime reading is a book about data compression. I think you got the picture!

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Dominic is currently making promising data visualization products at http://data-applied.com/ .To read more about him, please visit his profile page http://www.analyticbridge.com/profile/DominicPouzin

For the past one week I have been fending off repeated denial of service attacks on Decisionstats.com

My email addresses are widely known thanks to my participation on technical forums and my willingness to reach out and make friends ( 8500+ on Linkedin alone).

While the attacks were particularly vicious including email accounts, server changes, ip addresses to deny certain geographies, poisoned RSS feed/scripts, and scripts in folders to re direct posts.

Thanks to the fine team supporting me and some friendly advice from bloggers at Google- the worst is over. I have not hesitated to bash Google at will over its big size and even added a few cartoons on them – (even now I think they should sell Orkut to Facebook and add Twitter to create a spinoff Google Social Media for an IPO and take that particularly search and advertising)

But Google Search and Gmail and Google Analytics and Particularly Youtube are free- and thanks to them knowledge has spread way around the world. Also working behind the scenes the Google team spends a huge amount fighting spam and all for free. Or a bit of advertising on a website.

Thanks a lot Google men, and here is a You Tube video ( which you may have seen many times before but still) that celebrates the one ness of a global online community ( despite the occasional sith attacks)

saP or saS or sasR or saaS

Some pending news and posts- It appears that the company SAP is moving closer to major acquisitions. This includes launching more and more applications that are analytical in nature as well coming together in an alliance with hardware major Teradata. Teradata off course is a very close partner to SAS Institute. So could SAP and SAS and or Terdata be moving closer to a major announcement on BI and BA merging.

The open source database movement with Hadoop is the one which can be the real game changer in the managed database industry and AsterData is the company to watch here.

However R with its modular extensions is a different paradigm in language developement and SAS no longer has the nimbleness or flexibity in creating such apps- at the same time it has lost a fair deal of credibility in the young academia (due to R) as well cost sensitive consumers (due to WPS)

The succession issue of Jim Goodnight continues to be the biggest problem for SAS Institute- Jim is not getting younger and his second line is not expected to be of the same class as the Sall/ Goodnight partnership. Of all the major companies in software, Jim Goodnight stood alone in remaining private and thus managed to escape distractions of share prices while building up the franchise. Surviving oil shocks, cold wars, three recessions Mr Goodnight has cared for his local community as well despite being active in SAS and fending off sustained attempts by open source languages.

. An automatic partner for Mr Goodnight should have been Google or even Google Labs with the Brin/Page duo being the top data miners ( commerically) of this generation as Sall/Goodnight were 30 years ago.

SAP may spend a lot of its cash but the supply chain paradigm is best served by SaaS and exemplified by Salesforce.com and Force.com developers.

As the ancient Chinese said- May you live in interesting times.

SPSS launches two more PASWs

Just got news from the Chicago school of analytics, or the company known as SPSS. they have decided to lauch two more PASW products and you can see this from the release itself.

SPSS Inc. and the value of Predictive Analytics.

This week we announced PASW Data Collection 5.6 feedback management and survey research software, and PASW Collaboration & Deployment Services 4, our integrated platform to share, manage, automate and integrate analytic assets directly into business processes.

PASW Data Collection 5.6 (formerly Dimensions)

* The use of surveys to capture “Voice of the Customer” across multiple touch-points is integral to bringing data about people’s attitudes into analytical decision-making to improve customer intimacy.
* PASW Data Collection 5.6 supports the entire survey lifecycle — from authoring to managing the data collection process to survey reporting and analysis — supporting global, multichannel research and feedback collection.
* New functionality includes data entry capabilities, an enhanced authoring interface suitable for the novice and the research professional, and new phone-based interviewing capabilities designed to shape the modern survey research call center. This release also further extends the enterprise readiness of the data collection platform with enhancements to performance and security.

You can read the press release at http://www.spss.com/press/template_view.cfm?PR_ID=1088

PASW Collaboration and Deployment Services 4 (formerly Predictive Enterprise Services)

* The platform automates analytical processes for greater consistency and control, and deploys results to business users, consumers or directly into operational systems to reduce customer churn, improve marketing campaigns or identify cases of fraud.
* PASW Collaboration and Deployment Services 4 provides the foundation to integrate analytics into key business processes, so the right decisions are made and the best actions are taken on a consistent, repeatable basis.
* New functionality includes enhanced collaboration capabilities that provide more options for publishing analytical results; enhancements to the Automation Service with additional integration options; and a Real-time Scoring Service to deploy analytical scores into existing applications.

You can read the full press release at http://www.spss.com/press/template_view.cfm?PR_ID=1087

Buddypress for Analytical Buddies??

Let us assume there are top 100 analysts in the world mostly using WordPress or Typepad or Blogger to make posts

Managing them is quite a challenge.

What is marketing ROI of analyst relationships for a Business Intelligence vendor- Curt Monash is the Aerosmith of Business Intelligence Analysts so he can tell it better.

How about a magical community where you just use their mostly Feedburner of Feedblitz RSS feeds to create a self automated community.

Serach Engine Optimization can be tricked by keeping that community website free from Google or Search Engines ( yes it can be done).

Use numerical etc as in Linkedin to spur rivalry by shifting their page positions up and down, or by clicking repeatedly on some posts to manipulate their views on blog posts.

What would SAS pay to have all SAS analysts in one webpage. or SPSS to have all SPSS analysts in one webpage.

Six months later suddenly open the website for search engines, and the RSS feed has downloaded all the posts of all the top 50 analysts of the world. Google advertsing wont matter because hey we have a mega vendor sponsor- while individual bloggers / analysts have no collective strength now as the community is too big.

So much blah blah-

What software would you use.

you can choose between

Ning.com ( but it mostly non Blog feeds based)

or Wordframe.com ( which interface and name sounds suspiciously like WordPress software)

Or you can choose a customized WordPress Solution called Buddy Press.

Here is the software-

BuddyPress

BuddyPress will transform an installation of WordPress MU into a social network platform.

BuddyPress is a suite of WordPress plugins and themes, each adding a distinct new feature. BuddyPress contains all the features you’d expect from WordPress but aims to let members socially interact. Read More ?

Note this was just a generic case study for making a case for open source based community softwares. Resemblance to any thing is a matter of coincidence – except for Curt Monash of course.

Cost of Customized WordPress Software for communties is a big zero- it is free and open source and tjousands of plugins can be installed and maintained for it.

See an existing installation here

www.decisionstats.com/community

or at www.buddypress.org

Mergers and Acquisitions 2: Indian Offshoring

Some tricks that Indian offshoring companies adapt to boost up valuation just before recieving a dose of private equity or enter into negotiations are-

1) Build additional centers to make it look bigger

Make a small 50 member team size in East Europe, a 50 center team size in South America, a 50 member team size in China while 90 % of team stays in India. And claim we are present in one dozen countries so we have minimized location/ country instability risk.

2) Claim to invent the Indian Outsourcing sector when they first worked in 1990’s at McKinsey or Gecis or IBM.

Some companies claim to invent the KPO (knowledge processing) sector while some companies claim to invent the BPO sector.

The first apperance of the word Knowledge came from the back office McKinsey Knowledge center in 1990’s where almost all early recruits went and set up or joined other back offices- McKinsey continues to keep that centre as well as keep small teams in multiple outsourcing companies to gather information. It has the most secretive client relations and the best run alumni network in consulting companies.

recently McKinsey tried to aim for cloud computing by creating a market for private clouds rather than just clouds.

Who invented KPO or BPO or BTO? Even Wikipedia entries can be maipulated. Even Google SEO can be gamed by link farms

3) Becoming Bigger and Better pre infusion of funds

Increase staff size,

pay lower salaries,

lock attrition by bonds that prevent people from moving for two years ( yes it is not illegal in India)

Not pay overtime ( many companies keep detailed records to ensure minimum of 10 hours work from employees and spur unpaid overtime as this is not required by law for Indian outsourcing companies.

4) Create an industry wide database to keep private information on individuals thorugh the NASSCOM – the premier lobbying body for Indian ITES

Most of this is due to the rapid rise of Indian ITES as opposed to mature practises in Indian IT industry- even there it has been an occasional scandal like Satyam

Are you offshoring work to India? Do you know how many people are working how many hours to get that great job done? Do you wonder why only 1-2 senior members speak on a tele conference but junior team members dont.

Happy Outsourcing.

Jai Ho!

Interview KXEN Bruno Delahaye

In my continuing coverage of KXEN, the plucky company that has managed to revolutionize analytics automation and social network analysis- Here is an interview with KXEN’s Vice President Bruno Delahaye.

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Ajay – What is the best feature you like in KXEN. – both   as a company and as a product.

Bruno- Well actually what I like the most about KXEN is the will to make a difference. This is true at different levels of course: each individual within the company is trying to make things happen. For employees at KXEN this is not just a job: they want to change the game! The product side is naturally cascading from this. We are not simply recoding existing algorithms like some of our competitors are doing, instead we are looking in every domain of predictive and descriptive analytics where we can deliver higher value to our customers. When customers, thanks to the automation we provide, come back to us stating that they manage to increase their modeling productivity by 10 or even 50 compared to their previous modeling process we really think that what we provide is changing the game. Also, the fact that we have well over 500 customers globally today is proving that our customers recognize this as well!

Ajay : What areas has KXEN been most suitable for ? Biggest success story so far.
Bruno- KXEN has been very successful for 2 types of customers. We have been very successful in companies with mature Data Mining practices, companies that have realized that they need to move from a fully hand crafted approach to a more industrialized one in order to answer business requirements. As an example, lots of large companies run 10s of marketing campaigns per month and actually use data mining for only 1 or 2 at best… once organizations have understood the power of Data Mining they certainly want to target each campaign. Only KXEN can provide the level of automation required for this. On the other side, new data mining users (either new companies or new departments in a company) are also very eager to use KXEN. The learning curve with KXEN is so quick that it enables them to use their existing team (the ones that are aware of the business issues) and make them run within few days successful churn management programs or rebuild their customer segmentation in a reliable manner.

If you were expecting figures here, some Vodafone entities are claiming that they reduce churn in some customer segments by more than 10% by implementing KXEN. Unicredit in Austria mentioned that due to KXEN they gained an additional 50m€ per season….as you can guess the success of our customers always brighten our days.

Ajay : What areas would you rather not recommend KXEN? What other software would you recommend in those cases ?

Bruno- Well, I would recommend to use KXEN in every area of course, nevertheless where we have been less successful so far is with companies where time pressure to deliver analysis is lower. Basically, research departments tend to use more softwares like SAS EM or SPSS Clementine that are more methods/algorithms oriented rather than results oriented.

Ajay : What is the biggest challenge you have faced while introducing KXEN to a wider audience.
Bruno- The bigger challenge we have is in building domain expertise, it is indeed very difficult to build knowledge of our teams at the same time in Customer Lifecycle Analytics, in HRM, SCM… that is where building a confident relationship with the customer is so important. We have to prove to our prospect very early in the discussions that with KXEN they will make significant steps forward! This is also where our partner are so important to us. KXEN works with international as well as local partners with specific expertise to help our customers make the best possible use of the KXEN Data mining software to insure a high and fast ROI.

Ajay -Do you think the text mining as well as the Data Fusion approach can work for online web analytics, search engines or ad targeting?

Bruno- The data fusion approach is certainly one that makes sense for online web analytics. Analyzing the sequence of events rather than just taking into account whether an event occurs is actually a very powerful way to predict customer behavior or in this case the next click or the next action that is going to be made. I am not in this case claiming that everything has to be real-time as this could be the cause of the creation of weak or even unreliable/non stable models. Instead what we recommend our customer to do is to split the learning part that can be made off-line from the deployment that needs to be done real-time.

Ajay- Describe the relationships of KXEN with other members of the business intelligence community in terms of alliances.

Bruno- KXEN is a very good complement to BI vendors. We are actually partnering with several Data warehouse Vendors. For Data warehouse, the equation is quite simple they allow customers to structure and store the data but to provide real ROI, solutions need to be plugged on top of them. Setting a Data warehouse if you do not use the stored data is just another cost, what KXEN does is enabling to take advantage of the data asset to build customer segments that you will use to define your marketing mix, or simply target your customer either for cross-selling, up-selling or retention/loyalty purposes. The same is valid for credit scoring, fraud detection….

Case Study- Assume I have 50000 leads daily on a Car buying website. How would KXEN help me in scoring the model (as compared to other online based scoring solutions). Is it technically possible for me to install KXEN on Windows/ Other instances in remote computing like Amazon EC2 and not a server sitting somewhere.

The key difference, I believe, is that with KXEN you will indeed be able to do this even if you are not a data mining expert, if you want to use the results of yesterday’s campaigns to rebuild a model and if you can only afford to spend 10 minutes on this task every day. At the end of the day what we allow our users is to answer their business questions within the time frame they have rather than trying to convince them that they do not really need to do so many analysis for their business to run successfully

Ajay- And that was Bruno, VP, EMEA, KXEN. His profile can be seen here

http://www.linkedin.com/in/brunodelahaye

Bruno Delahaye manages KXEN’s operations for Continental Europe, Middle East, Africa and South America at KXEN. He is responsible for identifying and managing key partnership opportunities and developing the overall strategy for new partnerships.

For more on KXEN please go to http://www.kxen.com, you may need to regsiter to download their properietary white papers on Structural Risk Management or Text Mining.

Conflict of Interest Disclaimer-I am a consultant to KXEN as a social media consultant. Chairman Roger Hadaad was one of the first Chairman of a major corporation to agree to give interview to this small blog.