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All Blog Posts Tagged 'Analytics' (114)

Operational Data Science: excerpt from 2 great articles

The term "Data Science" has been evolving not only as a niche skill but as a niche process as well. It is interesting to study "how" the Big data analytics/Data Science/Analytics can be efficiently implemented into the enterprise. So, along with my typical study of analytics viz. Big data analytics I have been also exploring the methodologies to bring the term "Data Science" into mainstream of existing enterprise data analysis, which we conventionally know as "Datawarehouse & BI". This…

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Added by Manish Bhoge on December 12, 2013 at 9:30am — 1 Comment

Sports Analytics: Is It Only For Developed Countries?

It is a known fact that development of sports activities is not a top priority in the national budget of most of the developing countries. It can also be established that sports activities are not an active part of the eductional system of most developing countries. I’ll not be wrong if I say that the investment into sports in developed countries is much higher than in the developing countries. Given this backdrop, a natural question that comes to mind is: “Will developed countries reap all…

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Added by Ashish Soni on November 13, 2013 at 3:38am — No Comments

Analytics and the World of Sports: The Empirical Facts

The latest buzz words, ‘data analytics’, has swept most of the Industries, as far as I have researched, and sports industry is no exception. Just like other industries, data analytics has found wide variety of applications within the sports industry. This includes players’ performance analysis, opposition strength/weakness analysis, in-game strategy analysis and a lot more. In this article, I have tried to cover some…

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Added by Ashish Soni on November 8, 2013 at 10:02pm — No Comments

Analytics In Healthcare Industry

In very simple words, the process of predicting the probability of an event using mathematical models is defined as predictive modelling. In different fields there has been a wide-spread application of predictive modelling. This is mainly for the purpose of decision making. Recently, the technological advancements have made it possible for predictive modelling to expands its reach within the healthcare sector.…

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Added by Ashish Soni on November 7, 2013 at 9:45am — 1 Comment

The demand for Grasstops Analytics

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…

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Added by Patrick C. Walker, MPA on November 4, 2013 at 12:59pm — No Comments

Analytics-based proposal accepted for Overcoming Racism Conference

Added by Patrick C. Walker, MPA on November 1, 2013 at 10:17am — No Comments

Predictive Analytics, Data mining and High School dropouts?

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…

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Added by Patrick C. Walker, MPA on October 11, 2013 at 9:30am — No Comments

Leadership and Organizational Analytics

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…

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Added by Patrick C. Walker, MPA on October 3, 2013 at 11:00am — No Comments

Python Scikit-learn to simplify Machine learning : { Bag of words } To [ TF-IDF ]

Text (word) analysis and tokenized text modeling always give a chill air around ears, specially when you are new to machine learning. Thanks to Python and its extended libraries for its warm support around text analytics and machine learning. Scikit-learn is a savior and excellent support in text processing when you also understand some of the concept like "Bag of word", "Clustering" and "vectorization". Vectorization is  must-to-know technique for all machine leaning learners, text miner…

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Added by Manish Bhoge on September 25, 2013 at 12:30pm — No Comments

Predictive Analytics for CATS

The Comprehensive Analysis of Time Series (CATS) is an increasingly important use case in the field of Big Data analytics.  Cat videos on the Internet notwithstanding, the prevalence of time series is perhaps even more universally ubiquitous in big data applications: customer purchase histories, web click logs, social events, human behaviors, speech patterns, weather reports, climate science, numerical simulation science, spread of infectious diseases, market…

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Added by Kirk Borne on September 6, 2013 at 9:30am — No Comments

Financial Restructuring Analytics

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,…

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Added by Patrick C. Walker, MPA on August 31, 2013 at 3:23pm — 1 Comment

Interim & Crisis Analytics-driven Management

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…

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Added by Patrick C. Walker, MPA on August 31, 2013 at 2:35pm — No Comments

Analytics: The gap is widening Bit by Bit

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!…

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Added by Patrick C. Walker, MPA on August 31, 2013 at 2:30pm — No Comments

IBM Wilhelmina Challenge

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.…

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Added by Patrick C. Walker, MPA on August 31, 2013 at 2:07pm — No Comments

Who Has The Largest Predictive Data Analytics?

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…

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Added by Eka Aulia on August 12, 2013 at 6:00pm — 5 Comments

An Onslaught of Press about Predictive Analytics

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…

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Added by Eric Siegel on August 8, 2013 at 7:10am — No Comments

Democratizing Data Assets: Learning From Data, Big and Small

When we devote so much time and energy talking about Big Data, are we neglecting the important things that you can do with Small Data?

Maybe, but... probably not.

Looking beyond the Big Data hype helps us to …

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Added by Kirk Borne on August 7, 2013 at 11:00am — 2 Comments

Today's Big Data is Not Yesterday's Big Data

The on-going Big Data media hype stirs up a lot of passionate voices. There are naysayers ("it is nothing new"), doomsayers ("it will disrupt everything"), and soothsayers…

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Added by Kirk Borne on July 31, 2013 at 1:00pm — 4 Comments

Statistical Thinking is not science fiction, but a data science necessity

Over 100 years ago, the great science fiction writer H. G. Wells was credited with saying"Statistical thinking will one day be as necessary for efficient citizenship as the ability to read or write." It is clear that this statement is probably more true today than ever, as Big Data and Analytics are paraded before every aspect…

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Added by Kirk Borne on July 29, 2013 at 9:00am — 3 Comments

Predictive Forensics: Can we detect a crime before it occurs?

Can we detect a crime before it occurs?

Imagine you could predict that a crime would happen at a certain place and time… 

Now, imagine that you could also predict who the possible suspects were, where they came from, and what their motives were… 

Sounds like science fiction? Well… it may be… but the emphasis is on the “science” rather than the “fiction”, and we even have a name for it: Predictive Forensics.

Predictive Forensics is an analytics discipline that attempts…

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Added by dana Nehoran on July 19, 2013 at 2:07pm — No Comments

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