Business Intelligence Advantages and Disadvantages

Business Intelligence Advantages and Disadvantages Introduction The purpose of this report is to discuss the both the advantages and disadvantages of using Business Intelligence within a business. As well as to discuss the potential algorithms which could be used to achieve datamining which will allow for discovery of information who may be existing or potential future customers. By the end of this report I aim to make it clear the advantages of incorporating these tools and techniques within the business, and the benefits that will be seen. Business Intelligence Business Intelligence (Business Intelligence , 2007) is a collection various technologies and tools which are used for collecting, organizing and analysing data and information, and then providing the user with the information in a form which will help them with making business decisions. There are 3 major parts to business intelligence Reporting, Integration and Analysis. Reporting is essentially the creation and use of reports, while integration is about taking data from a source and being able to modify it to fit another purpose and data source. Finally, Analysis is the producing and organizing structures that have been filled with data taken from a separate source, commonly tools such as OLAP (OLAP, n.d.) (Online Analytical Processing) are used in order to achieve this. This process if often referred to as Data Mining. Using Business Intelligence has numerous advantages and is something that every company should consider using. One of its most obvious advantages is that it can help show trends and correlation in statistics (E.G user activity, sales, and complaints) and this can then be used by businesses in order to improve. Another considerable advantage of using Business Intelligence is also the reliability of the presented information and allows for relatively accurate prediction which greatly improves planning. Although it should be noted that there are some disadvantages to using Business Intelligence, this is that the historical data that is recorded needs to be stored somewhere, and this takes up more memory, which not only means more cost in storage, but also a speed reduction as there will be a huge amount data to be analysed. Another notable disadvantage is the potentially high initial cost, as well as maintenance cost, and although these costs should pay for themselves with improved decision making there is a possibility of the investment not paying off. There are not many disadvantages to using business intelligence, but they should still be taken into consideration. (Disadvantages of Business Intelligence, n.d.) A good example of business intelligence being used by other recognisable companies is that Netflix (Business Intelligence, 2015), the online media streaming service, using this system of business intelligence to work out which shows will be popular, and which of their categories may need a little reworking. This gives them the information they need to stay ahead of the curve and to make sure the shows that remain on the site are popular. Datamining algorithms With computers being used more and more within businesses, the information that the business needs to function is also stored on these computers (E.G Sales records, customer information etc.) so the ability to scan and analyse these massive amounts of information is incredibly beneficial to not only making business based decisions, but to predict sales trends or areas in need of improvement. There are a wide range of different Data Mining algorithms available to use, the ones discussed here will be the Decision tree, Bayesian Classification as well as K-Means. I have chosen to discuss and compare these 3 as they are quite different in how they operate.    One of the most commonly used Data Mining algorithms is the Decision Tree (Decision Tree Algorithm, n.d.), at the top of the decision tree we have a Root, which is essentially a check on an attribute, and from there the answers to the check make the branches. The leaves of the tree are in fact formed from each class label. The advantages of using this algorithm compared to the others is that in order to function it requires to prior knowledge of the domain, the other huge advantage which makes an attractive solution is that it is also very easy to follow and understand compared to more complex algorithms. The complexity for this algorithm can be worked out by the number of leaves that the decision tree has. This algorithm is often called Supervised Learning, this basically means that the data is already labelled within classes. (Image taken from (http://www.saedsayad.com/decision_tree.htm(Decision Tree Algorithm, n.d.)) The second mostly commonly used algorithm for Data Mining is known as Bayesian Classification (Bayesian Classifcation, n.d.), this algorithm effectively works via predicting the probability that a pattern or set of information belongs to a specific class. This algorithm is often favoured among the Data Mining techniques for its efficient results, although it needs to be taken into consideration that if the data is highly random then another algorithm would be preferred over the Bayesian Classification. It is also not recommended to use this algorithm with small data sets as this came mean a very low precision as well as recall. Although this algorithm might seem simple, its also highly accurate and is used often in filtering software (email spam, language filters). This algorithm is a supervised learning, as the user provides it with an already labelled dataset. The third algorithm which should be considered for the Crowd Funding System is K-Means (k-means, n.d.). This algorithm works by creating groups based on the set of objects this results in the in the members of the group more similar, this algorithm is often referred to as Cluster Analysis. Cluster Analysis is a collection of different algorithms which all follow the same pattern (Clusters, n.d.). The pattern being that they create groups (or clusters) in a way which means that the cluster members are much more similar as opposed to non-grouped members. This is not quite unsupervised nor supervised learning, this is because the user states the number of clusters needed, but it still features unsupervised learning as well as the algorithm learns where the cluster belongs without the user needing to provide it with any more information. Ive compared 3 algorithms, a decision tree based one, a clustering based one and a naà ¯ve one. My recommendation for use with the Crowd Funding Software would be the Decision Tree, this is for a number of reasons, the first being that its extremely easy to follow, even by someone who has no prior knowledge to the algorithm. Also because its easy to follow and understand its also easy to maintain and tweak it depending on the circumstance. Another major reason that I would chose decision tree is that they work quickly as well being non-parametric. Non-parametric means that the algorithm doesnt need specific data distribution in order to function. Data-mining advantages and disadvantages The main advantage of using Data-Mining for the Crowd Funding System would be that it could use Affinity Analysis (Affinity Analysis, n.d.), this is basically a scan off all the customers previous shopping history and then be able to advertise to them directly. This applies to the Crowd Funding System as we can use data mining to find out what projects a customer prefers and then advertise those projects directly to them. (E.G If a particular user often supports Gaming Software projects on the webpage, then we can use this information to have all Gaming Software projects as the top hit on their home page.) Affinity Analysis can often be used to detect fraud, which is useful for any company. Another advantage that this business can gain from Data Mining is Customer Segmentation, this is the process of breaking the customers down into smaller group based on say age, occupation or even gender. The advantage of doing this is that you can then target your advertisement to people who will be highly interested, and the more effective the advertising the more money people will donate to the projects. This applies directly to the Crowd Funding Systems first example, using this customer segmentation the film writer / director will be advertise her project to all her previous fans, or even people who are interested in that genre, this will mean she can reach a much more interested user base. The other huge advantage of Data Mining that can be applied to the CFS is that it can help to achieve Sales Forecasting, this is exactly what it sounds like, and it uses previous sales records to relatively accurately provide predictions for future sales. This can be used by the system for the second example the Kinect mobile phone battery, if they can predict how many donations the project is going to get they can either boost its advertisement, or perhaps communicate with the user that previous similar projects havent been able to reach their goal or at least direct them where they went wrong. One of the concerns the current business has is damage to its reputation, using data mining techniques they will be able to not only boost their donations and improve their advertisement, but also be able to learn more from the customers, and this can only be beneficial for the company. Donor exhaustion was also on the companies list of concerns, but data mining will be able to prevent this because it can be used to keep track of what advertisement has been sent to who, and what projects they are likely to bid on, so routinely changing the projects they are advertised will keep the users hopefully interested. CRM CRM stands for Customer Relationship Management (CRM, n.d.) And is used by businesses to keep their customers happy, it uses data mining techniques in order to get feedback and improve on their products constantly. The data mining algorithms discussed earlier are extremely useful for gathering and analysing information and data about customers and opinions on projects. We can then use this information to make improvements or changes where they are needed, and this will greatly increase customer satisfaction as customers will be able to see the changes they wanted. Although it is recommended to only try this with a vast amount of data, and huge amount of transactions. As smaller amounts of data can provide in accurate information. Using CRM will greatly improve the Crowd Funding Companys reputation and mean they have a lot more satisfied donors. Conclusion In conclusion I strongly recommend that the crowd funding system decides to include data mining algorithms. It has a long list of advantages including sales prediction, improved advertisement, and mostly importantly improved customer satisfaction. I would also highly recommend the use of the decision tree algorithm as its easy to follow and can easily be modified depending on the information that needs to be collected. It should be noted that choice of data source is important, as some of them may provide useful information, but there are quite a few that should be ignored.   CRM should also be taken into consideration, as using this software has proven to greatly improve the publics opinion of a business. A modern business cant afford not to use these data mining techniques, as failure to utilize these tools will mean a huge disadvantages against its competitors. The more information that can be collected from this companies customers, the more value the company can provide them, and the happier the customer the more donations that will be made. References Affinity Analysis. (n.d.). Retrieved from https://en.wikipedia.org/wiki/Affinity_analysis Bayesian Classifcation. (n.d.). Retrieved from https://www.tutorialspoint.com/data_mining/dm_bayesian_classification.htm Business Intelligence . (2007, March 6). Retrieved from http://www.cio.com/article/2439504/business-intelligence/business-intelligence-business-intelligence-definition-and-solutions.html Business Intelligence. (2015, Febuary 26). Retrieved from http://businessintelligence.com/big-data-case-studies/data-driven-proof-netflix-needs-buy-blockbuster/ Clusters. (n.d.). Retrieved from https://en.wikipedia.org/wiki/Cluster_analysis CRM. (n.d.). Retrieved from http://searchcrm.techtarget.com/definition/CRM Decision Tree Algorithm. (n.d.). Retrieved from http://www.saedsayad.com/decision_tree.htm Disadvantages of Business Intelligence. (n.d.). Retrieved from http://business.mapsofindia.com/business-intelligence/disadvantages.html k-means. (n.d.). Retrieved from https://en.wikipedia.org/wiki/K-means_clustering OLAP. (n.d.). Retrieved from http://olap.com/olap-definition/ Star Schema Notes The use of BLOB is so that the users can store there video sales pitches within the database, after some research I realised there wasnt a dedicated media storage format and instead have to suffice story it in binary.

Intrinsic and Extrinsic barriers Essay

Good morning to one and all of you present, my task for today is to enlighten you about what Inclusive Education is and what intrinsic and extrinsic barriers to learning and development are. One of the many challenges facing education in post-apartheid South Africa is that of realising the constitutional values of equality, freedom from discrimination and the right to a basic education for all learners, including those who experience barriers to learning. Under apartheid, learners were not only educated separately according to race, but a separate special education system served those learners with disabilities or impairments. To address this and bring educational practice in South Africa into line with the international trend of including learners, who experience barriers to learning, in general or mainstream classes, South Africa has enacted legislation and formulated policy which establishes an inclusive education system. Inclusion is broadly understood as the process by which learners who previously might have been taught in a separate special education system, because of the barriers to learning they experience, would now be taught in regular schools that have taken the responsibility of changing and improving to provide the support necessary to facilitate access and participation. What is Inclusive Education? Inclusive education means that all students attend and are welcomed by their neighborhood schools in age-appropriate, regular classes and are supported to learn, contribute and participate in all aspects of the life of the school. Inclusive education is about how we develop and design our schools, classrooms, programs and activities so that all students learn and participate together. Neighborhood schools are the heart of our communities, and Inclusion BC believes they are essential for a quality inclusive education system. Therefore we believe it is important to support a public education system in B.C. Inclusion in education is an approach to educating students with special educational needs. The Department of Basic Education is committed towards the building of an Inclusive Education system at all levels as outlined in Education White Paper 6: Building an Inclusive Education System, 2001. Such an inclusive system will facilitate the inclusion of vulnerable learners  and reduce the barriers to learning, through targeted support structures and mechanisms that will improve the retention of learners in the education system, particularly learners who are prone to dropping out. Benefits of Inclusive Education All children benefit from inclusive education. It allows them to: Develop individual strengths and gifts, with high and appropriate expectations for each child. Work on individual goals while participating in the life of the classroom with other students their own age. Involve their parents in their education and in the activities of their local schools. Foster a school culture of respect and belonging. Inclusive education provides opportunities to learn about and accept individual differences, lessening the impact of harassment and bullying. Develop friendships with a wide variety of other children, each with their own individual needs and abilities. Positively affect both their school and community to appreciate diversity and inclusion on a broader level. Why is Inclusive Education Important? It’s important because as South Africans, we value our diverse communities. These communities start at school, where all students learn to live alongside peers. They learn together; they play together; they grow and are nurtured together. Is inclusive education for everybody? The simple answer is YES. However, individual needs may mean that some students need to spend time out of regular class for a particular purpose. There are always exceptions, but they are in fact EXCEPTIONS: if needed, they are individualized in the student’s community school. What should I expect? You can expect the school to provide a plan to support teachers and students through good inclusive practices —like collaboration, team work, innovative instructional practices, peer-strategies, and more. ************************************************************************************* We now move on to the Second part of the discussion what intrinsic and extrinsic barriers to learning and development are? Barriers to learning  acknowledges that educational difficulties may arise from a number of sources, and may be intrinsic or extrinsic to learners. What is Intrinsic Barriers? Intrinsic barriers include physical, sensory, and neurological and developmental impairments, chronic illness, psycho-social disturbances and differing intellectual ability. What is Extrinsic Barriers? Extrinsic barriers are those factors that arise outside the learner, but impact on his or her learning. They may arise from the family and its cultural, social and economic context and include lack of parental involvement in education and family problems like divorce, death, and violence. Schools themselves may constitute barriers to learning when learners’ mother tongue is not used for teaching and learning and when schools are not safe. Therefore learners will experience barriers differently depending on the family of which they are a part, the extent to which their schools facilitate access and participation and the resources in the communities and societies in which they live. Support for learners who experience barriers to learning can be understood as all those actions that increase schools’ capacity for responding to diversity Inclusive practice is an important component of support and refers to strategies adopted, technical support provided, structures and procedures applied and actions carried out in the pursuit of including learners who experience barriers to learning. A focus on inclusive practice, while not denying the importance of inclusive culture and policy, ensures that attention is given to what is actually happening in schools, rather than wishful thinking or rhetoric about inclusion. Intrinsic factors – born with problem -physical/physiological impairments that may become disabilities if society and the system of education do not make provision for these learners (impairments, genetic factors, brain damage) -personality factors, especially types of temperament and unsatisfied emotional needs Extrinsic factors – problem not in learners self but in circumstances they grow up in -Environment – unfavourable socioeconomic circumstances, urban areas (apartments, little supervision), rural environments (poor school attendance), prosperous areas (bored, drugs, pressure) -Education – poor teaching (lack of qualifications, unmotivated or lazy), incomplete participation on the part of learners, inappropriate study material, inefficient school organisation, crowded classrooms -Language – many learners taught in English (not home language), often the teachers can’t speak proper English either. They perform poorly due to a lack of understanding -Culture – need to accommodate diff cultures, we learn, think and do things differently – keep that in mind (religion, language, food, sense of humour) -Job prospects – many learners leave schools but there is no jobs available so they get depressed and discouraged = underachieve at school To conclude Schools of a variety of classroom practices that acknowledge the diversity among learners and differentiate according to individual learning suggests that these practices should be encouraged in inclusive classrooms. In these ways, schools can learn from one another and can increase their repertoire of strategies that enable support, address barriers to learning and provide quality education for their learners. Thank you.

A Easy Tip About Uw River Falls Application Essay Samples Unveiled

A Easy Tip About Uw River Falls Application Essay Samples Unveiled An essay can be entirely heartfeltand terrible. If you are in need of a well-crafted essay, then you can depend on us to deliver. Your college essay should contain information that relate to the instruction provided to you. Before you commence writing your college essay, you may choose to see the essay examplesA that we've listed for you, so you may have more idea on what things to put in the college essay which you will create. This section has two examples of great college essays. You'll observe a similar structure in lots of the essays. Because you are interested in getting the essay to communicate the ideal information about you, you should do thorough preparation for the sample college admission essays to accomplish its purposes. These seven sample essays respond to a wide range of thought-provoking questions. Uw River Falls Application Essay Samples: No Longer a Mystery As a consequence, spending money to manage your essays could be challenging. Your solution shouldn't be a book report. In the majority of cases, the prompt is quite complicated and open to interpretation. There isn't a prompt to steer you, which means you must ask yourself the questions that will get at the center of the story you would like to tell. Vital Pieces of Uw River Falls Application Essay Samples Do not say that you're likely to graduate school since you don't understand what else to do or because you would like to ple ase your parents. Tell us a topic you have changed your head on in the last three years. Now things started to get really intriguing. Instead, think about a compelling reason you would want to visit college and compose that reason down. You might apply for a start date five months beforehand, but no later than 1 month beforehand. Map out what you're likely to write by producing an outline. You've come to the correct location! All your application materials have to be received by us a complete month in advance of your preferred start date. The Hidden Truth About Uw River Falls Application Essay Samples Essay prompts are intentionally open-ended, and there are lots of approaches to start selecting a topic. This question was reworded for 2017-18, and the present language is an enormous improvement. The majority of the moment, the conversation will end quickly, and the inquirer will leave with simply the additional knowledge that a number of languages are written in various d irections. For a beginning, the typical application essay topics need you to use language that's absolutely free from language flaws and grammatical mistakes. It is essential that you successfully finish the class work entered on your application. It's been stunning to realize that the literary techniques I'd learned for English may be replicated in Japanese. More frequently than not, deadlines for submitting applications are almost always short which makes many possible applicants worry they will be unable to submit their sample essay for MBA application punctually. Work with your students to assist them with this important part of their application. At times it's helpful to observe how others were able to get over the difficult first-line hump. With the most suitable organization, you could do away with a whole lot of anxiety. Consider where you would like to go, know that you'll also will need to learn from people and experiences in order to receive there. Pick a distinc tive topic that others may not think of, and whatever you select, make certain you know a lot about it! The Uw River Falls Application Essay Samples Stories Most college authorities require that you compose an application essay before getting an admission. If you'll contain details that may directly hit the requirements of the school, then it is easy to get the approvalA that you have to be accepted for enrollment. Additionally, there are some who think they are fit candidates and are guaranteed to have a spot for enrollment. Manage student advising appointments with an on-line sign up. Some institutions request an essay about a student's choice of a university or career. Do not lie or attempt to write what you feel the admissions officers wish to read. An admissions officer is quite a bit more likely to bear in mind an applicant who has a rather specific essay written in a special and quirky way. Where to Find Uw River Falls Application Essay Samples Each individual has a substantial part. Listed below are the guarantees we offer to anybody who is ready for expert aid. Each student enrolling in UW Flexible Option is supplied with academic guidance and coaching that's tailored to fulfill individual needs. A number of testing options are readily available to fulfill your requirements. Oftentimes, the most effective essay topic is one which lets a number of your imperfections seep through. Because the essay is a little too dry at this time, some additional voice would really provide the essay a boost. Following your nomination, you're required to forward an es say. Stephen's essay is rather effective. Your application should consist of other intriguing things which you would not normally include in the resume. Write about a problem which you have or would like to fix. The issue is that most people haven't a clue what math actually is. Don't forget to explain why it is important to you!

He Was Subsequently Denied From All Academic Positions

He was subsequently denied from all academic positions due to the recommendation and was quoted saying â€Å"I would have found a job long ago if Weber had not played a dishonest game with me†. This was also the point in his life where his relationship with a girl named Maric deepened and despite his parents protest of her Serbian background he defied them and stayed with her. Without a job and the financial means he couldn’t marry her and support a family, his father s business had also gone bankrupt so he couldn’t get outside support. Einstein took tutoring jobs but was even fired from those. Later in the year of 1902 things changed for Einstein, a lifelong friend’s father recommended him to a position as clerk for the Swiss Patent Office.†¦show more content†¦The only thing Einstein credits his discovery of the theory to was conversations he had with a friend named Besso. The physics community wasn’t welcoming to Einstein s new theory an d for a while his papers were ignored to never be picked up again until they received the attention of one physicist. This physicist was Max Planck who was the founder of the quantum theory, proved Einstein s theories to be correct and he was invited to lecture at international meetings. Through these meetings Einstein’s fame began to spread and he was being offered positions from prestigious institutions. He took one at the University of Berlin where he served as director of the Kaiser Wilhelm Institute for Physics from the year 1913 until 1933. Throughout all of this his marriage fell apart due to an affair Einstein had and him and Maric finally divorced in 1919 where he agreed to give her the money he might earn if he ever won the nobel prize. One thing that haunted Einstein was the fact that his own theory was flawed. He mad no mention of gravity, for the next ten years he would be consumed by creating a theory of gravity in relativity to the curvature of spacetime. In 1915 he finally developed the general theory of relativity which in Einstein’s eyes was hisShow MoreRelatedOn April 4Th 1967, Herbert Norman Canadian Ambassador To1586 Words   |  7 Pagesdecision, when he jumped to his death from the 9th floor of the Wadi el Nil Building in Cairo. Within the Canadian government Herbert Norman was a celebrated and deeply trusted member of Foreign Relations. However, an unearthing of Norman s past, from his years at Cambridge and Harvard, would reveal close relationships with intellectual Marxists and Communists. These allegations would immediately spark American attention amidst the Cold War hysteria of McCarthyism. Herbert Norman was labeled and investigatedRead MoreThe Impeachment Case1589 Words   |  7 Pages Judiciary, a branch of government not usually thrown political intrigue. 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