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Interview Pranay Agrawal Co-Founder Fractal Analytics
Here is an interview with Pranay Agrawal, Executive Vice President- Global Client Development, Fractal Analytics – one of India’s leading analytics services providers and one of the pioneers in analytics services delivery.
Ajay- Describe Fractal Analytics’ journey as a startup to a pioneer in the Predictive Analytics Services industry. What were some of the key turning points in the field of analytics that you have noticed during these times?
Pranay- In 2000, Fractal Analytics started as a pure-play analytics services company in India with a focus on financial services. Five years later, we spread our operation to the United States and opened new verticals. Today, we have the widest global footprint among analytics providers and have experience handling data and deep understanding of consumer behavior in over 150 counties. We have matured from an analytics service organization to a productized analytics services firm, specializing in consumer goods, retail, financial services, insurance and technology verticals.
We are on the fore-front of a massive inflection point with Big Data Analytics at the center. We have witnessed the transformation of analytics within our clients from a cost center to the most critical division that drives competitive advantage. Advances are quickly converging in computer science, artificial intelligence, machine learning and game theory, changing the way how analytics is consumed by B2B and B2C companies. Companies that use analytics well are poised to excel in innovation, customer engagement and business performance.
Ajay- What are analytical tools that you use at Fractal Analytics? Are there any trends in analytical software usage that you have observed?
Pranay- We are tools agnostic to serve our clients using whatever platforms they need to ensure they can quickly and effectively operationalize the results we deliver. We use R, SAS, SPSS, SpotFire, Tableau, Xcelsius, Webfocus, Microstrategy and Qlikview. We are seeing an increase in adoption of open source platform such as R, and specialize tools for dashboard like Tableau/Qlikview, plus an entire spectrum of emerging tools to process manage and extract information from Big Data that support Hadoop and NoSQL data structures
Ajay- What are Fractal Analytics plans for Big Data Analytics?
Pranay- We see our clients being overwhelmed by the increasing complexity of the data. While they are all excited by the possibilities of Big Data, on-the-ground struggle continues to realize its full potential. The analytics paradigm is changing in the context of Big Data. Our solutions focus on how to make it super-simple for our clients combined with analytics sophistication possible with Big Data.
Let’s take our Customer Genomics solution for retailers as an example. Retailers are collecting information about Shopper behaviors through every transaction. Retailers want to transform their business to make it more customer-centric but do not know how to go about it. Our Customer Genomics solution uses advanced machine learning algorithm to label every shopper across more than 80 different dimensions. Retailers use these to identify which products it should deep-discount depending on what price-sensitive shoppers buy. They are transforming the way they plan their assortment, planogram and targeted promotions armed with this intelligence.
We are also building harmonization engines using Concordia to enable real-time update of Customer Genomics based on every direct, social, or shopping transaction. This will further bridge the gap between marketing actions and consumer behavior to drive loyalty, market share and profitability.
Ajay- What are some of the key things that differentiate Fractal Analytics from the rest of the industry? How are you different?
Pranay- We are one of the pioneer pure-play analytics firm with over a decade of experience consulting with Fortune 500 companies. What clients most appreciate about working with us includes:
- Experience managing structured and unstructured Big Data (volume, variety) with a deep understanding of consumer behavior in more than 150 counties
- Advanced analytics leveraging supervised machine-learning platforms
- Proprietary products for example: Concordia for data harmonization, Customer Genomics for consumer insights and personalized marketing, Pincer for pricing optimization, Eavesdrop for social media listening, Medley for assortment optimization in retail industry and Known Value Item for retail stores
- Deep industry expertise enables us to leverage cross-industry knowledge to solve a wide range of marketing problems
- Lowest attrition rates in the industry and very selective hiring process makes us a great place to work
Ajay- What are some of the initiatives that you have taken to ensure employee satisfaction and happiness?
Pranay- We believe happy employees create happy customers. We are building a great place to work by taking a personal interest in grooming people. Our people are highly engaged as evidenced by 33% new hire referrals and the highest Glassdoor ratings in our industry.
We recognize the accomplishments and contributions made through many programs such as:
- FractElite – where peers nominate and defend the best of us
- Recognition board – where anyone can write a visible thank you
- Value cards – where anyone can acknowledge great role model behavior in one or more values
- Townhall – a quarterly all hands where we announce anniversaries and FractElite awards, with an open forum to ask questions
- Employee engagement surveys – to measure and report out on satisfaction programs
- Open access to managers and leadership team – to ensure we understand and appreciate each person’s unique goals and ambitions, coach for high performance, and laud their success
Ajay- How happy are Fractal Analytics customers quantitatively? What is your retention rate- and what plans do you have for 2013?
Pranay- As consultants, delivering value with great service is critical to our growth, which has nearly doubled in the last year. Most of our clients have been with us for over five years and we are typically considered a strategic partner.
We conduct client satisfaction surveys during and after each project to measure our performance and identify opportunities to serve our clients better. In 2013, we will continue partnering with our clients to define additional process improvements from applying best practice in engagement management to building more advanced analytics and automated services to put high-impact decisions into our clients’ hands faster.
About-
Pranay Agrawal -Pranay co-founded Fractal Analytics in 2000 and heads client engagement worldwide. He has a MBA from India Institute of Management (IIM) Ahmedabad, Bachelors in Accounting from Bangalore University, and Certified Financial Risk Manager from GARP. He is is also available online on http://www.linkedin.com/in/pranayfractal
Fractal Analytics is a provider of predictive analytics and decision sciences to financial services, insurance, consumer goods, retail, technology, pharma and telecommunication industries. Fractal Analytics helps companies compete on analytics and in understanding, predicting and influencing consumer behavior. Over 20 fortune 500 financial services, consumer packaged goods, retail and insurance companies partner with Fractal to make better data driven decisions and institutionalize analytics inside their organizations.
Fractal sets up analytical centers of excellence for its clients to tackle tough big data challenges, improve decision management, help understand, predict & influence consumer behavior, increase marketing effectiveness, reduce risk and optimize business results.
Book Review- Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
I recently read a review copy of Dr Eric Siegel’s new book Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
(Disclaimer-I have interviewed Eric here in September 2009, and we have been in touch over the years as his Predictive Analytics Conference became a blog partner and then a sponsor here at Decisionstats.com PAWCON also took off, becoming the biggest brand in independent analytics conferences)

So it was with a slight note of optimism that I opened this book, and it has so far exceeded my expectations. This is a very lucidly writtern, well explained book that can help people at all levels for analytics. There is a wealth of information here in a wide variety of business domains, and the beautifully designed book also has great tables, examples, and quotes, cartoons to make a very readable case for predictive analytics. Of course, Eric has some views, he loves ensemble modeling, conversion uplift models, privacy concerns, and his background in academics help explain even technical things very elaborately and in an interesting manner.
And at $14,6 it is quite a steal from Amazon. So buy a copy and read it. I would recommend it for helping build a case for predictive analytics , evangelizing to clients, and even to students in grad school programs. This is how analytics books should be , easy to read, and lucid to remember and practical to execute!
SAS Thought Leader declares war on data scientists on Valentine Eve
It all started because of the Google Guy, Hal Varian
| Feb 25, 2009 – I keep saying the sexy job in the next ten years will be statisticians. … Hal Varian, The McKinsey Quarterly, January 2009. … |
Then these guys ( Thomas H. Davenport and D.J. Patil) made us sexy -that too in the Harvard Business Review.
Jill Dyche* is a thought leader. That’s what her job says. that too at SAS which took over her start-up Baseline Consulting. (* In addition to this, she writes forewords for struggling poets here )
She says here-
If the importance of data scientists is growing with the advent of big data, the sooner we understand what exactly it is they do, the better.
That is fair enough. But to add grievous injury to data scientists, She adds
(For fun I wrote a blog post on being a data scientist’s girlfriend.)
Actually the blog post was-Why I Wouldn’t Have Sex with a Data Scientist
But there’s no use. The data scientist is preoccupied. Preoccupied with finding, accessing, analyzing, validating, cleansing, integrating, provisioning, modeling, verifying, and explaining data to his management, colleagues, end-users, and friends.
And this is the year of the statistician ??
This is bare knuckles tactics. The art of Vaseline Insulting? Perish the thought. Geeks and Data Scientists rule.
Dont we? and we are perfect? right.
We statisticians (and data scientists and big dataists and data miners and business analysts and …)
are bringing sexy back!
SAS gets awesome revenues
There are 2.87 billion reasons SAS is not going away anywhere in the Big Data Analytics space. Yes , thats the revenue figures declared by them-http://www.sas.com/news/preleases/2012financials.html
Of course I have always wondered how much they earn from SAS Federal LLC ( which is a subsidary that caters to the lucrative and not very competitive analytics in Intelligence) and their revenue breakdown by Product ( how much did they earn by Base SAS licenses versus how much they earned by Cyber Security http://www.sas.com/industry/government/cybersecurity/index.html )
I wonder how many other analytics companies have even realized that they can help cut down the federal government costs ( or even have something close to this http://www.sas.com/industry/government/national-security/intelligence-management.html )
This year revenue breakdown was-
The Americas generated 47 percent of SAS’ total revenue; Europe, Middle East and Africa (EMEA) 41 percent; and Asia Pacific 12 percent.
but last year
The Americas accounted for 46 percent of total revenue; Europe, Middle East and Africa (EMEA) 42 percent; and Asia Pacific 12 percent
So Americas revenue grew faster than Europe revenues!Okay
Revolution Analytics and Pricing Analytics
Cost of 1 day of Revolution Analytics Training at http://www.revolutionanalytics.com/services/training/
1. Intro to R
| Price: | Commercial: SGD$500.00 Academic:SGD$350.00 1 Singapore dollar = 0.8197 US dollars10% Early Bird Discount Deadline: November 13, 2012 @ 12:00PM Pacific Time |
2. (aptly titled Minimalistic Sufficient R…you think the ricing would be minimalistic.. but)
http://www.revolutionanalytics.com/services/training/public/minimalist-sufficient-r.php
Price:
$750
$100 Early Bird Discount Deadline: November 16, 2012 @ 12:00PM Pacific Time
Discount code: earlybird
3.
Advanced R (Italian)
| Price: | Commercial: €680.00 Academic: €480.00 1 euro = 1.2975 US dollars |
4.
Big Data AnalyticS with RevoScaleR
| Price: | $500 with 2 month Revolution R Enterprise workstation evaluation.
$700 with 1 year subscription of Revolution R enterprise workstation ($1500 value) 10% Early Bird Discount Deadline: October 30, 2012 @ 12:00PM Pacific Time |
5.
Revolution R Time Series Training
| Price: | Commercial: S$1,200.00 Academic:S$750.00 10% Early Bird Discount Deadline: October 30, 2012 @ 12:00PM Pacific Time |
so training costs differently different strokes for different folks I guess,
BUT me hearties.
Cost of 1 year of Revolution Enterprise= $1000
Thats a flat rate, so the Linux and Windows costs the same and so does the 32-bit and 64-bit
(see http://buy.revolutionanalytics.com/ )
( My comment- either Revo should give away the license for free to enterprises, rationalize training costs, seriously how can 2 days of training cost like a 1 year of license and the software is definitely quite good., or create a paid Amazon Ec 2 AMI for enterprises to rent the Revolution Analytics software (like SAP Hana ), or even on Windows Azure if they insist on hugging Microsoft, though I am clearly seeing various flavors of Linux beating Windows Server to a pulp in the Big Data market, though I am probably more optimistic on the Windows 8 on Surface but because of hardware not software/ Azure alternative to Amazon given Google’s delayed offering- I dont even know many many instance of Windows related HPC or HPA, (/end_of_rant)
| Annual Subscription Includes software license and technical support |
Price | Quantity | Total |
|---|---|---|---|
| Revolution R Enterprise Single-User Workstation (64-bit Windows) | $1,000.00 | $0.00 | |
| Revolution R Enterprise Single-User Workstation (32-bit Windows) | $1,000.00 | $0.00 | |
| Revolution R Enterprise Single-User Workstation (64-bit Red Hat 6 Enterprise Linux) | $1,000.00 | $0.00 | |
| Revolution R Enterprise Single-User Workstation (64-bit Red Hat 5 Enterprise Linux) | $1,000.00 | $0.00
|
R and Hadoop #rstats
Lovely ppt from the formidable Jeffrey Bean, whose lucid style in explaining R has made me a big fan of his awesome work!
RCOMM 2012 goes live in August
An awesome conference by an awesome software Rapid Miner remains one of the leading enterprise grade open source software , that can help you do a lot of things including flow driven data modeling ,web mining ,web crawling etc which even other software cant.
Presentations include:
- Mining Machine 2 Machine Data (Katharina Morik, TU Dortmund University)
- Handling Big Data (Andras Benczur, MTA SZTAKI)
- Introduction of RapidAnalytics at Telenor (Telenor and United Consult)
- and more
Here is a list of complete program
Program
Time
|
Tuesday
|
Wednesday
|
Thursday
|
Friday
|
09:00 – 10:30 |
Introductory Speech Ingo Mierswa (Rapid-I)Resource-aware Data Mining or M2M Mining (Invited Talk) Katharina Morik (TU Dortmund University)
Data Analysis
NeurophRM: Integration of the Neuroph framework into RapidMiner |
To be announced (Invited Talk) Andras Benczur Recommender Systems
Extending RapidMiner with Recommender Systems Algorithms Implementation of User Based Collaborative Filtering in RapidMiner |
Parallel Training / Workshop Session
Advanced Data Mining and Data Transformations or |
|
10:30 – 11:00 |
Coffee Break |
Coffee Break |
Coffee Break |
|
11:00 – 12:30 |
Data Analysis
Nearest-Neighbor and Clustering based Anomaly Detection Algorithms for RapidMiner Customers’ LifeStyle Targeting on Big Data using Rapid Miner Robust GPGPU Plugin Development for RapidMiner |
Extensions
Optimization Plugin For RapidMiner
Image Mining Extension – Year After Incorporating R Plots into RapidMiner Reports |
||
12:30 – 13:30 |
Lunch |
Lunch |
Lunch |
|
13:30 – 15:30 |
Parallel Training / Workshop Session
Basic Data Mining and Data Transformations or |
Applications
Introduction of RapidAnalyticy Enterprise Edition at Telenor Hungary
Application of RapidMiner in Steel Industry Research and Development A Comparison of Data-driven Models for Forecast River Flow Portfolio Optimization Using Local Linear Regression Ensembles in Rapid Miner |
Extensions
An Octave Extension for RapidMiner
Unstructured Data
Processing Data Streams with the RapidMiner Streams-Plugin Automated Creation of Corpuses for the Needs of Sentiment Analysis
Demonstration: News from the Rapid-I Labs This short session demonstrates the latest developments from the Rapid-I lab and will let you how you can build powerful analysis processes and routines by using those RapidMiner tools. |
Certification Exam |
15:30 – 16:00 |
Coffee Break |
Coffee Break |
Coffee Break |
|
16:00 – 18:00 |
Book Presentation and Game Show
Data Mining for the Masses: A New Textbook on Data Mining for Everyone Matthew North presents his new book “Data Mining for the Masses” introducing data mining to a broader audience and making use of RapidMiner for practical data mining problems.
Game Show |
User Support
Get some Coffee for free – Writing Operators with RapidMiner Beans Meta-Modeling Execution Times of RapidMiner operators Conference day ends at ca. 17:00. |
||
19:30 |
Social Event (Conference Dinner) |
Social Event (Visit of Bar District) |
and you should have a look at https://rapid-i.com/rcomm2012f/index.php?option=com_content&view=article&id=65
Conference is in Budapest, Hungary,Europe.
( Disclaimer- Rapid Miner is an advertising sponsor of Decisionstats.com in case you didnot notice the two banner sized ads.)

