Predictive Analytics

On November 24 2014, Netflix filed a lawsuit against its former vice president of IT operations, Michael Kail (accountingintheheadlines.com), alleging breach of fiduciary duty and duty of loyalty, conversion, fraudulent concealment, unjust enrichment, violation of California Business & Professions Code § 17200, constructive fraud and fraud (scribd.com). Mr. Kail was in charge of entering into and authorizing contracts for Netflix’s tech vendors (accountingintheheadlines.com). Kail would recommend that Netflix enters into agreements and contracts with third party companies that would later pay Kail 12-15% commission on his consulting company, Unix Mercenary (scribd.com). Netflix had no knowledge of this company (accountingintheheadlines.com).

In the 20th century, 95% of young women know about contraception and at least 88% will be able to give birth in a hospital or clinic. This

For many years, advertisers had tried to find out an efficient way to understand their target markets and the customers. Before the age of information system, it was difficult to track their customers efficiently, and therefore they were like swimming in the dark when they dealt with the customers. They could only make the very broad target customers and send them advertisements through newspapers, television, magazines, or other media. However, this traditional method of sending advertisements to everybody that the companies could reach was not working well, since it ignored the demands of the receivers. However, along with data mining, it brings a business revolution to the whole world.

Caetora and Keaverney (as cited in Mueller, 2011, p. 272) affirm that consumer buying behavior, attitudes about products or promotional message, relevance of a product attributes, product positioning and other manifestations of culture and societal norms are usually a product or industry specific and must be gathered from primary research. It means that this information may be critical to sound tactical decisions, and usually warrants the time, energy, creativity and expense required to collect it.

Additionally, the population of Caucasian Americans in Texas have the highest birth rates in the state and American Indians have the lowest birth rate. “Allan Johnson (2000) reports in addition to these birth rates, demographers use three hypothetical rates to get some idea of the future consequences of current patterns of reproductive behavior in a population. The gross reproduction rate (GRR) is the average number of daughters that would be born to a hypothetical cohort of women if current birth rates for women of various ages were to remain the same throughout their lifetime. In other words, it is the number of daughters they would have if they went through their twenties having babies at the current rate for women in their twenties, through

The method used to study the hypothesis was by having 328 women completed five surveys up to 72 hours postpartum. They were between the ages of 18-42. Out of the group 68.6% were married or living with a partner and 43.3% had a job. The average number of years the women spent in school was 8.8yrs. More than half (59.2%), did not complete high school and only 2% (6) completed higher education. From the group, 19.2% of them had a miscarriage before. More than half (51.5%) had already

Netflix, founded in 1997 by Reed Hastings, has achieved its goal of becoming the largest online movie rental service in the world. By the end of 2007, Netflix recorded revenues of $1.2 billion. With a library of 100,000 movie titles and a subscriber base of over

Netflix was founded in 1997 by Reed Hastings who is the current CEO of the company. He noticed that there was a demand for the

This percentage is really alarming because unplanned births may lead to poverty and joblessness, can make teen mothers change their minds and stop studying in order to satisfy their necessities firstly and can cause several economic and home problems which may lead to a worst one. Furthermore, having a baby growing inside you and starting a family, or a new life, have to be a personal decision that must be based on knowledge and confidence instead of being

Mothers with one child (boy or girl) are more likely to have next birth compared to the mothers with a balanced number of children (one girl and one boy) over the study period. For the three surveys, mothers with one boy (girl) have 17\% (28\%) more likelihood of the next birth compared to the mothers with one girl and one boy. There is no significant difference in the likelihood of next birth between mothers with two boys, and that of with one girl and one boy. However, mothers with two girls are more likely to have shorter intervals compared with the mothers with a boy and a girl (HR: 1.089). Moreover, a significant interaction between family composition and survey year describes the change in the birth spacing behavior of mothers having different number of children relative to the balanced number of children over time. The interaction suggests that the mothers with one child (boy or girl) and two girl children still have shorter birth interval, though the likelihood is decreasing over the years.

In 1950, were approximately 3.5 million births with women having an average of 3.8 children (“Measuring childbearing patterns in the United States 2010”.) As of the 2010 women on average have 1.9 children. This

July 1999: financing to help build and market the Netflix brand to consumers and maintain its rapid dominance of the rent-by-mail DVD industry

“Predictive analytics uses technology to predict the future and influence it.” [27] It is predominantly being used to improve business processes, which is a great opportunity for entrepreneurs to achieve positive business outcomes [26]. The goal of this white paper is to discuss the impact of predictive analytics in today’s world and the various concerns that come along with it. The paper addresses key research questions like what are the legal and ethical concerns that rise from predictive analytics? And where can we use predictive analytics to get positive results? We have tried to analyze the current market situation in order to answer these questions, focusing on the key areas where predictive analytics has had positive and negative impact. After intense scrutiny of the facts and details encountered by us, we have come up with some recommendations and solutions to address the issues caused by the use of predictive analytics and how their effects can be balanced by organizations.

In 1985 there are relatively few births to women below the age of 15, with only 66 live births recorded. The age specific fertility rate for women below the age of 15 is .03 live births per 1000 women. For ages 15-19 the age specific fertility rate is much higher at 11.55 live births per 1000 women. The age specific fertility rate continues to rise in the 20-24 age range, with 97.18 live births per 1000 women. As shown in Figure 1, fertility peaks in the 25-29 age range with 142.51 live births per 1000 women. In the 30-34 age range we begin to see a rapid decline in fertility, with only 78.67 live births per 1000 women. It drops further with 29.75 live births per 1000 women aged 35-39 and 6.15 live births per 1000 women aged 40-44. For the age ranges 45-49 and 50-54 the combined age

Business analytics, in a nutshell, is usage of the type of data that can help one analyze a particular business situation and decide how to improve it. Instruments used for such an assessment include statistics, and both quantitative and qualitative analysis, as well as predictive and explanatory modeling.