Big Data And Its Effect On Our Lives

1.) Crime Mapping is the use of patterns of criminal activity were identified on pin maps. Colored stick pins that would be stuck on around different places on a map of the city, country, district, precinct, or other area. Different colors corresponded to different types of crimes. This approach, while crude, permitted police to identify problem areas and patterns of criminal activity. The problem was that the maps were one dimensional and could easily get crowded with pins, especially in the case of minor crimes that occurred with great frequency. These maps were also static they could not be easily be changed to serve a different purposes like tracking certain types of crimes over time. Crime mapping has became so common that it has created the Crime Mapping Research Center. The center promotes research, training, and technical help for police agencies around the country and help them in their mapping efforts. Mapping the crimes in and around the city can also help law enforcement protect citizens more effectively in the areas they serve. Any regular map of any city can help display the locations were crimes or concentrations of crimes that have occurred that can be used to help police patrol where they are most needed. Makers in police departments might use harder maps to observe trends in

The benefits of this application are numerous. For the first time, this type of information is available to the officer on the street in a usable format that today’s officers are comfortable accessing on a device they carry with them daily. Crime mapping data is extremely useful for crime analysis and administrative purposes, however, it is difficult to bring usable crime mapping data to the patrol officer working the street. Since this is a web based app, the data in use by our current crime analyst and RMS systems should be compatible with this

The amount of data produced in the world is increasing exponentially, and we are a part of this phenomenon. We all use email, phones, social media, and credit cards. The new technologies that we are bringing home, such as smart cars and smart TVs, are collecting more and more data. Boyd and Crawford exposed the imperfections of the Big Data industry, and they have shown that we cannot assume that the industry will solve its own problems. By using all these technologies, we have given Big Data access to our finances, social interactions, homes, and minds. Big Data offers imperfect people tools that can be used for good and evil. If we are blind to how our data is being collected, the industry will continue misusing our data. But if we pay attention, and demand the technology companies respect our privacy, they will be forced to have higher standards. Currently, our society has ignored how our privacy is being jeopardized. As Boyd and Crawford noted, we don’t have the tools and access of researches, and our often unaware of the algorithms collecting our information (759,760). But we do have power. We can voice our concerns, or find alternatives to services that don’t respect us. We can use the tools we have access to for good, just like Big Data has been used

Many people have become so immersed in data, that they are unable to recognize the data that they have been exposed to. For example, many college students either watch tv or listen to music while completing homework. Students often time just see this as background noise when in reality this is data that become stored in your unconscious mind. The film Big Data gives a visual account of how much data streaming has impacted society both negatively and positively through the use of data analysis. Data has taken away the ability to remain anonymous and has also sparked a decline in human interpersonal skills. However, Data also has allowed humanity to collect new information providing new solutions to world issues. The film Big Data is able to

Big data describes large scale data sets which are analyzed, using algorithms, to determine and eventually predict patterns in human behavior, interactions and the environment (oed.com). Big data is used by government entities to protect against terrorism as well as commercial entities for marketing. Big data needs ethical standards to prevent violations of four central principles, which are privacy, confidentiality, transparency, and identity (Richards 395). Big data is awareness and empowers those who control it. This revolution in information enables companies to shape consumer identity by influencing every interaction the user has with their service. Due to its predictive and persuasive nature, restrictions are necessary for consumers to

Big Data is an expansive phrase for data sets so called big, large or complex that they are very difficult to process using traditional data processing applications. Challenges include analysis, capture, curation, search, sharing, storage, transfer, visualization, and information privacy. In common usage, the term big data has largely come to refer simply to the use of predictive analytics. Big data is a set of techniques and technologies that need or require new forms of integration to expose large invisible values from large datasets that are diverse, complex, and of a massive scale. When big data is effectively and efficiently captured, processed, and analyzed, companies

This program help the Federal, State, Local law enforcement agencies in knowing where crimes are going on and what location they are happening. Having this information will help law enforcement to analyze and formulate crime patterns in their area. Crime mapping has come a long ways in fifteen years, by helping in uncovering patterns in crimes so law enforcement can solve them. The new technology for Crime Mapping allows the police to know where a perpetrator may live, work or even hang out at. It also will do the same thing for victims involved in crimes. Most of the crime analysis show that criminals do their crimes

The crime map contains offense categories such as murder, robbery, aggravated assault, arson, larceny, burglary, auto theft, theft from motor vehicle, drugs, public disorder, white collar crime and other crimes against person. I really like how this map shows the crime density per square in a mile which is 23.29 and the crime offense count is thirty-six. The crime map has the number of offenses in a certain area but does not display the icon figure like the other map. Police report data gives us the information of the incident number, time, date of offense, address, category and type of criminal activity. Crime map layout also composes as a scale bar which separates location so individuals can see various location and it also can demonstrate hot

There have been many worries with big data, but they all fall under 2 main issues. The first of which is the data itself. When trying to amass the absurd amounts of data, the quality can sometimes be overlooked for the quantity. Wilson exemplifies this by discussing data collected through social media. The web seems like an easy way to discover what people like while simultaneously correlating that with demographics, however, not all of that data has been vetted. Not everyone online is a real person and not everything people post online is true. The data just isn 't reliable. (CITE) With Wilson pointing out this shortcoming in the use of social media data it is clear to see how easy it may be for a researcher to overlook possible problems with the data’s reliability and analyze false information that could eventually lead to false conclusions. In his book

Data is a forever growing thing and is not looking to slow down anytime soon. With that be said, companies must be able to manage data for their day to day operations as well as for predicting future trend. Now there are many tools for managing data and extremely high cost for managing it as well. One of the costs for managing data is data security, but this paper will touch on that topic in, but not as much as other topics. Also, this paper will demonstrate various business cases to serve as testimonial for just how useful big data management it in to day society.

What is Big Data? Big Data is the mass collection of user data by mathematical algorithms, databases, data mining, and the use of datasets that were once believed to be static and unusable. Big Data’s history goes way back “…70 years to the first attempts to quantify the growth rate in the volume of data, or what has popularly been known as the “information explosion” (Press, Gil).” Researchers had predicted the massive growth of information and how our ability to collect and store it would need to continue to grow as well.

Imagine someone told you that every bit of personal information you have exchanged with an individual or company through any digital interface such as the internet, cell phone, GPS devices, and electronic payment systems has been piled upon millions of other people’s personal information in datasets that are unfathomably large and incomprehensible to any human mind. Would you believe it? What if the same individual continued to tell you that these data sets are “mined” using complex algorithms to discover subtle patterns, correlations, and relationships among citizens? That may sound pretty far-fetched. You may be astonished to learn just how real this data collection is, and the extent to which the compiled information is being used for

With the growth of technology, there is a substantial growth of data by volume, variety and velocity satisfying the criteria of Big Data . Volume of data already exceeded 100 EB at the end of 1990s, reached 1.8 ZB at 2011, and we have already entered in the age of ZB. By 2020, it was forecasted that the volume of data will be 50 times bigger than the one at 2011 . Big data is used to describe the huge data sets (terabyte to Exabyte) and Big Data analytics are the techniques applied on them.

customers, channels and risks, big data also is going to change the ways banks operate by breaking down organizational boundaries and forcing people out of their proverbial comfort zones. As McKinsey & Co. partner Allen L. Weinberg notes in a discussion of the competitive implications of big data featured in Bank Systems & Technology’s February digital issue, “It has to be the data scientists sitting with the business folks. ... It’s getting these people talking together and sharing across the data.” One reason why it’s so important to knock over the cultural obstacles that can detour efforts to seize big data’s promise is that the competition probably is on a parallel path. The irony of “Moneyball” is that while Billy Beane confronted skeptics in his own organization, executives of other teams (most notably the deep-pocketed Red Sox) embraced his vision and tactics. The A’s appear to have had a very small window of opportunity to capitalize on the team’s data advantage — with only 29 competitors in the major

The term “Big Data” has been around for quite some time and has been catching everyone’s attention with remarkable speed. A plethora of questions do pop up in our mind sometimes. What is big data, is this something absolutely new, how can it be leveraged to create value for an organization and so on. For many years, companies have used various transactional records stored in relational databases to make competitive business decisions. But how long can we sustain or depend on these traditional methods of doing analysis and coming to a conclusion. There is an ocean of non-traditional, less structured data such as weblogs, social media, email, sensors, and photographs that can be mined not only for useful information but also to make strategic decisions.