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Predictive analytics uses current and historical data in order to determine the probability of a particular outcome. This is a particularly powerful approach when it is applied to medical diagnosis. In an effort to reduce misdiagnosis, historical data of former patient’s symptoms may be applied to the assessment of a new patient.
While doctors are the ultimate experts and decision-makers, using predictive analytics as a means of establishing precedent for…Continue
Added by Goli Tajadod on May 22, 2018 at 2:30am — No Comments
It has been a practice followed religiously by companies and organizations to analyze how they have performed over a period of time. It is mandatory for them to do so; just that some do it to survive and some do it to thrive in concurrent…Continue
Added by Chirag Shivalker on May 12, 2017 at 7:30am — No Comments
Depending on the business objectives, social media analytics can take four different forms, namely, descriptive analytics, diagnostic analytics, predictive analytics, and prescriptive analytics.
Social media data is the new gold and analytics is its digging tool. Social Media Analytics (SMA) is the art and science of extracting valuable hidden business insights from social media media data (Khan, 2015) . SMA turns the…Continue
Added by Dr. Gohar Khan on April 10, 2017 at 1:30pm — No Comments
There are three ways to look at data. The first is analytics. This is when you look at data from the (potentially very recent) past. Think analytics. It allows you to explore the questions what happened and why did it happen? The second is monitoring. This is looking at things as they happen. In many cases, monitoring is used to find abnormalities. Finally, there is…Continue
Our work at Talent Analytics, Corp., focuses on using predictive analytics to decrease employee turnover or increase employee performance. We work with our customers to define the problem to solve, and then together identify useful data inputs to include in predictive model development.
How Valuable is Employee Engagement Data in Predictive Work?
We are often asked if many years worth of employee engagement data would be meaningful in our…Continue
Added by Greta Roberts on March 7, 2016 at 10:59am — No Comments
If you have BI Tools and you have business users who are expected to use these BI tools, you may be frustrated! Are your users struggling to understand a complex system, or are they restricted by dashboards created by IT to satisfy their needs? Is your data integration incomplete or inaccurate. Maybe you think you need business intelligence solution training for…Continue
Added by Snehal Rathwa on February 4, 2016 at 11:00pm — No Comments
Do self-serve BI tools support data governance, integral data security and organizational IT standards and policies? In some cases, the answer is 'no'. But, that shouldn't stop you from looking at self-serve BI tools. The question isn't whether the integrity of data governance can be preserved when using self-serve BI tools. The question is really, 'which vendor…Continue
Added by Kartik Patel on January 28, 2016 at 9:00pm — No Comments
When business intelligence vendors talk about democratizing data discovery, they can have very different interpretations about 'democracy'. If a business intends to provide self-serve BI tools to its employees for daily use and data discovery, it must provide true data democratization. The business user cannot be limited to viewing static dashboards developed by dashboard developers with only the most basic drill down and filtering capabilities. Business users must be empowered by true data…Continue
Added by Kartik Patel on September 10, 2015 at 11:00pm — No Comments
"Analytics is a journey and not a destination!! It takes considerable effort to frame that journey and execute it with a sense of purpose. You will encounter stumbling blocks that may threaten your initiative but you need to find a way out and keep marching ahead."
We did an analytics exercise for a US client recently in education domain that had all the flavors of roadblocks…Continue
Hi All ,
I've recently build a predictive data model for a campaign to target group of customer who can switch from payment method "A" to Payment method "B".
The idea was to come up with predictive model with payment/usage variables as independent variable and the event of switch in past is taken as dependent variable.
i) I used logistic regression model for probability estimation.
ii) The data is sorted in order of descending probability…Continue
Added by Vikas Kamra on December 1, 2014 at 4:30am — No Comments
Added by Rohit Pandey on October 16, 2014 at 4:30am — No Comments
Practicing Data science…
Added by Manish Bhoge on October 18, 2013 at 12:22pm — No Comments
I have just returned from the first ever ICHI (= International Conference on Healthcare Informatics) at which I discovered a "new generation" of healthcare researchers and policymakers, mostly under the age of 35 ... BUT with an UNDERSTANDING and PASSION of what needed to take place to get out of being in about 33rd place in the world in the quality of health care delivery and replacing it with ACCURACY / PATIENT CENTERED EFFECTIVENESS / and EFFICIENT COST EFFECTIVE processes that match what…Continue
Added by Gary D. Miner, Ph.D. on September 16, 2013 at 2:00pm — No Comments
Statistics.com, a provider of online education in statistics and analytics, announces a partnership with CrowdANALYTIX, a predictive modeling “managed crowdsourcing” company, offering a new online course, “Applied Predictive Analytics in partnership with CrowdANALYTIX“, which will run from Oct. 11 to Nov 8, 2013.
The goal of this course is to teach users (who have basic knowledge of R programming, predictive analytics…Continue
Added by Janet Dobbins on September 11, 2013 at 10:59am — 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
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
This blog post is to retract an aspect of a story about Chase Bank that I reported in my book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (published by Wiley, February 2013).
Although predictive analytics professionals usually tell accurate stories about their projects, sometimes the information that comes from human beings is less reliable than the data driven systems they…Continue
Added by Eric Siegel on July 8, 2013 at 12:30pm — No Comments