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Fraud detection is all about connecting the dots. We are going to see how to use graph analysis to identify stolen credit cards and fake identities. For the purpose of this article we have worked with Ralf Becher, irregular.bi. Ralf is Qlik Luminary and he provides solutions to integrate the Graph approach into Business Intelligence solutions like QlikView and Qlik Sense.
Third party fraud occurs when a…Continue
As a decision analyst, it is delightful to see all the excitement about the ever-increasing amounts of data available. But, when I see much of what data scientists are doing to find interesting patterns (descriptive analytics is just looking in the rear view mirros) and forecasting (predictive analytics, ideally our GPS), I see little attention paid to the real business decisions that might be informed by these insights (the decision analytics, helping our clients steer a better…Continue
Why use big data tools to analyse web analytics data?
Because, Web event data is incredibly valuable. It tells us how our customers actually behave (in lots of detail), and how that varies. We can also do analysis between different customers or for the same customers over time.…Continue
Added by VINU KIRAN .S on January 31, 2015 at 5:19am — No Comments
Originally posted on sctr7.com.
Network analysis is a rapidly growing analytics domain propelled by the explosion of interest in social networking. The methods rest upon much older foundations in the realms of statistics and social science. Euler’s graph theory was proposed in the early 18th century and Moreno established the foundations for…Continue
Added by Scott Mongeau on August 15, 2014 at 1:30am — No Comments
In my previous blog post I have explained the steps needed to solve a data analysis problem. Going further, I will be discussing in-detail each and every step of Data Analysis. In this post, we shall discuss about exploratory Analysis.
What is Exploratory Analysis?
check out our post on optimizing natural gas supply to Boston
Added by Parag Patil on December 10, 2013 at 8:12am — No Comments
No predictive model is going to be 100% accurate unless by chance. The nature of predictive modeling is to learn from the past and see into the future. Essentially, predictive modeling is just modeling. Think about why we use statistical models - so we can fit the data into a pattern of behavior and anticipate future results. It's all about how you use and interpret this model.
Crime analysts may use a tool similar to the following example on a robbery…Continue
Added by Nicole on September 5, 2013 at 12:00pm — No Comments
Conditionally formatting each row individually is an issue that I struggled with for some time and finally found an answer. I have a table that lists 28 different activities by day of the week. On the report I need to highlight the day with the highest count per activity.
The solution is to essentially conditionally format each row to highlight the highest number. But who wants to take time formatting 28 rows? Plus, there are several other cities to analyze. So it’s…Continue
Added by Nicole on September 5, 2013 at 5:29am — No Comments
Since February's launch of my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, I have participated in a number of video interviews that explore the topic and field of predictive analytics. Here is a sampling:
Bloomberg TV – Predictive Analytics in Four Minutes:
Added by Eric Siegel on August 21, 2013 at 1:16pm — No Comments
The Financial Times reviewed my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
Click here to read the full Financial Times review (free membership required).
Excerpt from the book review:
Here's a review of my book Predictive Analytics from Robert Nisbet, Ph.D., a leading consultant, author, and predictive analytics instructor at University of California – Irvine (posted here with his permissoin).
Review of Predictive Analytics – The Power to Predict Who Will Click, Buy, Lie, or Die By Eric Siegel.
Robert Nisbet, Ph.D.
March 21, 2013
Predictions have a problem. They are viewed…Continue
Have you seen the press coverage related to my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Wiley, February 2013)?
If you're already an expert practitioner, these articles can serve to help ramp up your clients and coworkers.
If your work doesn't connect to data munching in any way, these articles (and the book) are still totally for you. This accessible book has been…Continue
Added by Eric Siegel on August 8, 2013 at 7:10am — No Comments
When you invest the time to read a book, you're investing a lot more than the $17 to buy it.
Many ask whether my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die, is at the right level for their needs. Is it too advanced? (Quick answer: definitely not.) Will it instruct me on how to execute on predictive analytics? (Not directly – it is an industry primer rather than a…Continue
Added by Eric Siegel on July 17, 2013 at 11:45am — No Comments
Seven Questions on Adopting Analytics Culture
Seven questions are posed and are addressed in serial. The theme: ‘how can organizations adopt analytics-based decision making culture?’
In particular, the questions address the use of change management to adopt evidence-based decision making, associated organizational challenges, and how analytics can be used to manage organizational change itself:…Continue
A recent article entitled "Nate Silver on big data's future: It's about attitude" appeared on fcw.com (The Business of Federal Technology). The full article along with the points made below can be read here:
In the meantime, what came to mind has to do with different analytic approaches being used together to solve a…Continue
Added by Tony Agresta on February 26, 2013 at 1:22pm — No Comments
Here is the preface for Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
By Eric Siegel, with a foreword from Tom Davenport
(Wiley, February 2013)
To order the book:…
Added by Eric Siegel on February 8, 2013 at 6:30am — No Comments
This link will take you to a great YouTube Video on the 5 classes of databases and the differences in the major players in the NoSQL market.
And here are some conclusions I took away from the presentation.
Mike Bowers, Principal Engineer at the Church of Jesus Christ of…
Added by Tony Agresta on December 27, 2012 at 1:11pm — No Comments
I wanted to share this link with members on Analytic Bridge - it represents a series of articles, insights and conclusions drawn about Big Data Technology, Trends and Success:
Here's a comment I posted about the Article entitled "The Role of the Data Scientist in Big Data" from Tech Republic. There are others on the page. "As…Continue
Added by Tony Agresta on December 26, 2012 at 12:39pm — No Comments
Java is the most widely used programming language with an outstanding architecture. It is the top preferred language to develop the enterprise application. However, Java is not fit for the mass data computation. If encountering the computation that is too complex to be represented in a single SQL statement or it is not allowed to add stored procedures to database, then drawbacks of Java would be highlighted.
Hereby is a case on how to deal with above questions with…Continue
Added by Daisy Ding on July 24, 2012 at 1:23am — No Comments
For all the strides that data mining tools have made, using them well still requires hard work and critical thought. In this article on the nuts & bolts of DM, we review a real workhorse for data mining and analysis - the histogram. Among the histograms encountered most frequently in practice are the following: “money”, “count”, and “outlier”. We will look at each one of them in turn…. Read the…Continue
Added by Daniel Graettinger on June 19, 2012 at 7:07pm — No Comments