A Data Science Central Community
Today, enterprises recognize the critical value of advanced analytics within the organization and they are implementing data democratization initiatives. As these initiatives evolve, new roles emerge in the organization. The newest of these analysis-related roles is the 'analytics translator'. As the enterprise considers the relevance of this new role within the business, it is important to understand the responsibilities of an Analytics…Continue
Added by Kartik Patel on February 23, 2018 at 2:30am — No Comments
Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization
Every enterprise, large or small, must have access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets. When organizations undertake the process…Continue
Added by Kartik Patel on August 12, 2016 at 2:00am — No Comments
Debunking Common Business Intelligence Myths
Myth # 3: Business Users Do Not Need Ad-Hoc Data Analysis
If your business is confused about the tools in the business intelligence market, you are not alone. There are lot of options in the market today, which is great for the enterprise and its users, but the confusion…Continue
Added by Kartik Patel on March 16, 2016 at 5:00am — No Comments
Uplift modeling, also known as incremental modeling, true lift modeling, or net-lift modeling is a predictive modeling technique that directly models the incremental impact of a treatment (such as a direct marketing action) on an individual’s behavior. Uplift modeling has…Continue
Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…Continue
Added by Manish Bhoge on February 7, 2014 at 11:22pm — No Comments
Leveraging grasstops (i.e. group leaders) is imperative given their highly influential position with other group members. If a grasstop can be prevented from terminating legislative (i.e. policy oriented) support, the legislative termination rate for the group members has a higher likelihood for reduction. Alternatively, attempting to get a grasstop from a competing policy issue to switch or terminate may increase likelihood of similar results with group members associated with that…Continue
Added by Patrick C. Walker, MPA on November 4, 2013 at 12:59pm — No Comments
Currently, high schools have some of the biggest challenges determining the individual paths of students that enter the school yard each day. In fact, both institutions and industries would like to know, for example, which student will graduate from a particular course program and which student will need assistance in order to graduate on time. Which graduates are most receptive to what kind of high education institution? Which non-graduates are most receptive to what kind of intervention to…Continue
Added by Patrick C. Walker, MPA on October 11, 2013 at 9:30am — No Comments
Historically, Leadership and Organizational assessments were recommended or promoted as means to determine if enterprises were effective and efficient. Often determined when all elements of the organization were aligned properly, resulting in superior performance. Today, some professionals advise their clients in ways to improve performance by conducting alleged unique assessment models similarly to the traditional form (e.g. gut-feeling approaches). The purpose of these assessment models…Continue
Added by Patrick C. Walker, MPA on October 3, 2013 at 11:00am — No Comments
Oftentimes a distressed firm considering a uplift plan will not be successful without some type of financial restructuring, and sometimes the best way to recover a distressed firm’s existing value is through liquidation. Clearly, many analytics professionals are analytics-driven experts that must be capable of determining the financial state of a firm. If the core business has been irreparably damaged and the future outlook is bleak then the analytics will confirm. Under the worst case,…Continue
The leadership analytics style needed for a distressed company is very different from that needed for a healthy firm. The focus for a healthy firm should be on achieving the firm’s objectives while the focus for a distressed company is recovery, timely action, and problem resolution. Senior management’s authority in a healthy firm is one of delegation, while in a crisis situation the executives need to get directly involved. And the decision-making skills of a healthy company executive are…Continue
Added by Patrick C. Walker, MPA on August 31, 2013 at 2:35pm — No Comments
A growing gap between those enterprises that, see the value of business analytics and are transforming themselves to take advantage of these new found opportunities, and those that have yet to embrace them. Businesses today have a plethora of data available from an increasing number of sources. While some appreciate the potential benefits others face difficulties using data beyond hindsight, to actionable insights or further - foresight. Read these books to learn more!…Continue
Added by Patrick C. Walker, MPA on August 31, 2013 at 2:30pm — No Comments
IBM Wilhelmina (willing to protect) is a challenge to IBMers from Street Learnsters - individuals committed to improving learning capacity using all methodologies regardless of prior shortcomings. The challenge is not to create Wilhelmina but to continue the efforts that emphasize the presence of a attitude and commitment willing to protect everyone. Naturally, a bold declaration will have to compliment what IBM currently do today and what the Smarter Planet initiative will require tomorrow.…Continue
Added by Patrick C. Walker, MPA on August 31, 2013 at 2:07pm — No Comments
With vast amount of data that currently available, who should be able to predict the future the most? Should it be Google? Facebook? Twitter? Google claim to be able to predict the flu epidemic in the future, and other things. Is it because Google has the biggest data in this world? Or it is not?
If big data can predict the future, then those who have the biggest data are the ones who can better predict…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
I wonder, using big data and predictive analytic, can we predict the winner of x-factor or American Idols from the start of their audition performance? I think we might have a good chance to predict the winner right away.
What if we could only have the information from their first performance, what should be the variables to be used in the predictive model? Here’s from what I could think of:
Added by Eka Aulia on April 29, 2013 at 9:25am — No Comments
Joel Schectman at the Wall Street Journal wrote about a story broken in my new book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die.
Wall Street Journal Article:
Book: HP Piloted Program to Predict Which Workers Would Quit
Joel Schectman, Wall Street Journal
Hewlett Packard Co. tested a predictive scoring system that attempted…Continue
Added by Eric Siegel on March 20, 2013 at 2:19pm — No Comments
The Fiscal Times is running an excerpt from my book, Predictive Analytics, about the Obama campaign's use of uplift modeling (aka net lift or persuasion modeling).
ARTICLE: The Real Story Behind Obama's Election Victory
By Eric Siegel
Elections hang by a thinner thread than you think.
By now you probably know that Barack Obama's 2012 campaign for a second term "moneyballed" the…
Added by Eric Siegel on February 14, 2013 at 9:30am — No Comments
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
It is critical to design and build a data warehouse / business…
Added by Michael Walker on September 19, 2012 at 2:57pm — No Comments
Added by Chandan Pathak on October 16, 2009 at 7:18am — No Comments