The Quality Of A Balance Scorecard

The Quality Of A Balance Scorecard
A balance scorecard is an instrument managers use to gauge performance based on significant
performance measures chosen by the manager. Each performance measure can be tailored to meet
the specific needs of any organization. According to Cardinaels and Veen–Dirks, firms either have a
list of measures or groups of measures separated into categories to evaluate performance. There are
four common categories that are used to group and describe the different performance measures.
The four categories are financial, customer, internal business, and learning and growth (Cardinaels
& M.G. van Veen–Dirks, 2010). Cardinaels and Veen–Dirks said the financial category concentrates
on financial data like sales margin percentages and sales growth per store. The customer perspective
concentrates on repetitive sales and customer satisfaction. Internal business concentrates on returns
to suppliers and the amount of orders completed. Learning and growth concentrates on the
development of employees how happy employees are with their job. Customer, internal business,
and learning and growth measures are considered to be non–financial measures (Cardinaels & M.G.
van Veen–Dirks, 2010). According to Cardinaels and Veen–Dirks, placing performance measures
into categories help the reader make decisions by being able to focus on individual areas rather than
each individual measure to make an overall decision on the performance of the organization as a
whole. One good thing about an unformatted score
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Small And Medium Sized Enterprises
I. Literature Review 1. Introduction Big Data has seen exponential growth in recent years due to the
large volumes of social–networking data that is now being produced. While it may be easier for
large enterprises to adopt the use of Big Data it is unclear if many small and medium sized
enterprises are firstly aware of Big Data and its uses and secondly whether it will actually be
beneficial to the business. The project will look at the use, or lack thereof, of Big Data in SMEs and
provide a comparison when looking at larger enterprises. 2. An analysis of Big Data i. The Three Vs
So what exactly is Big Data? This can be a point of contention amongst even those who work with
big data all the time so the description that follows is only one of many. Big Data is best
characterised by 3Vs: volume, variety and velocity. Volume refers to the extreme amounts of data,
variety to the varying types of said data and velocity to the speed at which the data must be
processed. Big Data does not actually refer to a specific quantity of data as many might assume by
looking at the term but it is often used when speaking about massive volumes of data in the range of
Exabyte's (Rouse, 2014), most of which cannot be integrated easily. ii. The additional Vs There can
also be a fourth V (Vossen, 2014) which adds veracity to volume, variety and velocity to give 4V's.
Veracity can be viewed to be the messiness of the data (thinking of things such as Tweets with hash
tags, abbreviations, typos, and

Disruptive Innovation: a New Era of Crowdsourced Data...
Abstract: The existing business paradigm of data analytics is set for a transformation. Today,
companies are experimenting to replicate the "Outsourced data analytics" model to "Crowdsourced
data analytics". Companies like Kaggle, Crowdanalytix and others are hitting the headlines of top
analytics blogs across the globe. The reason is that the new business model promises a drastic
decrease in the cost of analytics for companies long with the flexibility to get the problem solved
anytime with much less effort. In short, it's not just crowdsourcing that is the novelty of the concept,
but the manner in which it is put to use that steals the show. Abstract: The existing business
paradigm of data analytics is set for a transformation. Today, ... Show more content on
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SMEs generally abstain from such lavish expenditures and hence they always had to rely on their
own intuitive decision making. They still don't have any robust mechanism to verify their
assumptions because tools like market research and data analytics is not for them, they believe. Not
anymore! Companies like Kaggle and Crowdanalytix provides them with such non–expensive and
reliable platform for analytics that SMEs can now espouse structured decision making in free will.
II. Analytics market: Now an open field The issue that small analytics consultants face today is that
they are overshadowed by large consulting organizations. Small consultants include both individual
consultants and small boutique consultants. These small consultants have to fight a stiff battle for
every single project. Even if they win one, their margins are eaten up by their overboard sales efforts
to grab one assignment. Hence, smaller consultants remain low on cash. The new crowdsouring
model brings them a sigh of relief. Today, they don't have to bid for projects; they are up on the web.
The consultant wins money not because of the size of his organization but solely on his competency.
Second way these consultants earn bucks is by joining network of lead analysts as mentioned
previously in the article. Hence, the new business model has opened the field and for the first time
grass is

Analysis Of Marriot International And Marketing Management
According to Davenport (2006), an analytics competitor has the capabilities of gaining insight based
on a consumer's consumption to better make business decisions while optimizing the business
processes. Many top organizations such as Amazon, Capital One and even the Boston Red Sox have
implemented programs that allow for their company to better determine the products and prices of
products that appeal to consumers. These programs also provide companies with the power to
determine how to market, based upon the consumer's fluctuating income and its influence over the
rising and falling of demand and supply chains. While this process of collecting and processing data
may be beneficial to the company, the data gathered should be collected in an ethical manner.
(Davenport, 2006, p.99–100) As noted earlier, there are many organizations who have mastered the
skill set of becoming an analytics competitor. Some companies have implemented the approach
taken by Marriot International. Marriot International has not only mastered the revenue
management, it has become one of the top analytics competitors because of its ability to efficiently
use its Total Hotel Optimization program. The program allows for Marriot International to expand
their quantitative expertise far beyond establishing room prices to allow for the program to be used
in areas such as catering and conference facilities. Marriot International has also made these tools
readily accessible via the internet; allowing for

Professional Objectives Program
Discuss your professional objectives both short and long term. What has motivated you to apply to
this program? My organization Penske Truck Leasing has been experiencing a sharp decline in the
revenue generated from its full service leasing. Results of initial sales analysis concluded that the
inflow of the new customers for full service leasing has been growing steadily; thus to increase
revenue, the focus needs to be on the renewals for the existing customers. The company realizes that
a lack of validated customer loyalty drivers prevents effective focus on customer retention and thus
directly affects profitability. Challenges with data availability and business metrics have made
attempts to measure and diagnose our service delivery and customer experience, both, difficult and
inconclusive. In order to address this challenge, the organization has launched an initiative to build a
customer analytics system that can achieve a single view of customer experience and make
decisions about how best to acquire and retain customers, recognize high–value customers and
proactively interact with them. I have been identified as the lead architect for the BI and analytics
team that is going to implement this project. I am also privileged to be associated with an initiative
that is directed towards human resource analytics that analyzes the performance and profitability
that the work force brings to the organization. The aim of this project is to align core workforce
business

Trends Of Modern Technology
List the top ten business trends for IT. Modern BI becomes the new normal Collaborative analytics
goes from the fringe to the core All data becomes equal Self–service extends to data prep Analytics
are everywhere, thanks to embedded BI IT becomes the data hero People start to work with data in
more natural ways The transition to the cloud accelerates Advanced analytics becomes more
accessible Data literacy becomes a fundamental skill of the future For each trend, describe why
businesses are focusing upon that trend. Modern BI becomes the new normal Many organizations
have embraced modern BI. Specifically, accepting modern BI has enabled these companies to move
the power to perform analytics from of a handful to the ... Show more content on Helpwriting.net ...
Businesses using this form to retrieve data will be able to harness the power of all data, no matter
how many disparate data sources they have. Self–service extends to data prep Self–service data
discovery has become the standard, while data prep has remained in the realm of IT and data
experts. According to Paige Schaefer, statistics reflect that self–service will extend to data prep in
2017. Again, common data–prep tasks like JSON and HTML imports, data parsing, and data
wrangling will no longer be delegated to data specialists. With new innovations in this transforming
space, it is expected that everyone will be able to tackle these tasks as part of their analytics flow.
Analytics are everywhere, thanks to embedded BI It is said that analytics works best when it's a
natural part of people's workflow. In 2017, analytics will be embedded into applications people use
every day, be it Salesforce or internal portals. This seamless integration will drive visibility and
action on these analytics, often by people who've never explored data, like store clerks, call–center
workers, and truck drivers. IT becomes the data hero IT is now breaking the monotonous cycle and
evolving from producer to enabler. IT is at the rudder of the transformation to self–service analytics
at scale. IT is providing the pliability and agility the business needs to

Essay on Assessing the View that Religious Language is...
Assessing the View that Religious Language is Meaningless
In recent times one of the most compelling and interesting arguments against God and religion has
come from linguistic philosophy. In very basic terms the argument points out the fact that religion
must necessarily use language in order to express abstract ideas such as God, love and so on, and in
doing so commits a fallacy because as soon as such ideas are put into words they become
meaningless. However, this is a rather large generalisation; the specific arguments go into a lot more
detail and most vary in some way from this basic idea. Before we look at these arguments, though, I
feel it is necessary to emphasise just how important an ... Show more content on Helpwriting.net ...
Ethics, aesthetics and most importantly religious statements are all rendered void as they cannot be
depicted, for example "Stealing is wrong" cannot be mentally depicted in the way that "I stole your
pencil" can. This idea attracted several philosophers, including Moritz Schlick and Rudolf Carnap,
who were working together in Vienna in the early part of the last century, and who expanded
Wittgenstein's work. Their work involved looking at language to see what type of statements were
meaningful or not, and they based their ideas on similar work in epistemology. There is a very
powerful argument in this branch of philosophy that knowledge can only be gained through
empirical experience. The logical positivists applied this idea to language, and came up with the
verification principle. This idea, also put forward by A. J. Ayer, the main British exponent of logical
positivism, is basically that only two types of statement are meaningful. The first is analytic
statements (a priori), which are logical statements that justify themselves, for example "1 + 1 = 2" or
"all bachelors are men." This type of statement is true by definition, and does not

Preventing Theft Is Just The Tip Of The Iceberg
Data Privacy – Preventing Theft is Just the Tip of the Iceberg.
Many people have started to become aware of the issues of data security and identity theft, but what
they should really be worried about is the way data is used legally. The following talks about data
gathering and gives 5 examples of how this data can be used for, or against you. Although the
examples are local in nature, they are being replicated on a global scale. If you live in the modern
world, then you will eventually be impacted.
Big Brother: Chinese social credit score
China has always been known to keep tight control over its population through media control, and
the judicious application of social pressure. A dossier is maintained for every citizen, which ... Show
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This is a particularly clever and insidious form of Orwellian control. It is the people around you who
willingly help by apply the pressure to make you conform (Hatton, 2015 & Stanley. 2015 & Yap,
Wong,. 2015).
Data Gathering: You are the Product.
Google: Most people have no clue as to the sheer scope and volume of data being collected.
Mention you are having money problems in your Google mail account and you might get credit
counseling ads. Visit medical site and you might start getting medical ads. All this information is
available for sale. Where you shop, what you buy, everything you have ever written and perhaps
read. This data can be used to extrapolate personal information you would never expose directly. I
would never allow anyone to open my mail. Why is it legal for them to open my email.
Other sources: Everyone it seems is into the data gathering business, banks, credit cards, search
engines, operation systems etc.. It 's big money and everyone wants in on the action.
Data Analytics: Profiling Customer
Data analytics involves the study of data for a group of people. They extract historic patterns in the
computer data like purchases, web sites, credit scores, social media posts etc. This data comes from
a myriad of sources as listed above. Using these patterns they can create profiles for these groups
and identify new members and predict their

An E Commerce Website Essay
Organizations today face a lot of competition in the market and they try every day to find new ways
to stay ahead in the race. To achieve what these organizations desire, they require data and some
efficient analytical applications to analyse this data. Analysing the data and making certain decisions
towards the growth of the organization, to remain ahead of the growing competition, forms the crux
of competing on analytics. Most companies today make use of such analytical applications to make
decisions that are best suited for them. Flipkart is one such company. Flipkart an e–commerce
website was founded in 2007 by Sachin Bansal (Chairman) and Binny Bansal (CEO) – both
graduates from Indian Institute of Technology, Delhi. They previously worked for Amazon.com, and
left to launch their own e–commerce company named Flipkart Online Services Pvt. Ltd. in October
2007. Flipkart uses E–kart and PayZippy, its own logistics arm and payment gateway respectively.
In 2012 Flipkart launched its own brand called 'DigiFlip' which include products like tablets, laptop
bags, USBs, etc. Ability to Compete on Analytics An e–commerce company such as Flipkart
requires a lot of tools for analytics especially when it has to compete with companies like Amazon,
EBay, Snapdeal, etc. Flipkart runs on the principle "Whichever tool solves our problem best" to
select right tool for its operations. It makes use of a wide range of tools to perform analytics like
Adobe analytics, Apache Hadoop, Apache

Project Goals And Objectives Of A Company
Chapter 3 Project Description 3.1 Project goals and objectives Our project is Enterprise Connect,
which is focused on revolutionizing the connections between employees in a company. Improving
the way employees of a company interact with each other stands out as the primal goal of the
project. The other important objectives of the project include but not limited to, Making managers of
the firm understand the skill set of his employees. Bridges the gap between employees of similar
interests Ultimately increases the revenue of the company by streamlining the assets (employees)
skillset and utilizing them to the maximum potential. 3.1.1 High Level Architecture 3.2 Project
approaches In determining the project, since we have adopted technical research and prototyping
approach our project is a combination of both of those types. Technical research: Technical research
activities include developing an innovative technical solution in software engineering and software
production. Prior to the start of project, we have researched about the project topic, feasibilities and
to be solved problems of the project. We fundamentally aimed to bring a change in the way
employee connection takes place at the company. Prototyping project: Prototyping project involves
in developing a prototyping system to validate a new idea (or technology) for business/academic
needs. We plan to develop a prototype of the project using augmented reality approaches. Technical
information include using the

The Reinvention Of Retail Through Iot
The Reinvention of Retail through IoT
– By Noopur Sane, Vishranth Chandrashekar and Aditya Lahoti
The Internet of Things (IoT) is a term used to describe the growing number of smart and connected
products. It consists of physical things such as sensors which have the ability to collect and share
data. Predictions suggest that over 30 billion smart and connected devices will be in use in the year
2020.
What are the avenues broadly where IoT could transform the retail sphere?
– Inventory: Technology can undoubtedly revolutionize the retail backdrop. There are technologies
that can save any retailers from theft, cheating and evade inventory dysfunction.
– Supply Chain: IoT related devices can resolve and troubleshoot supply chain issues. By ... Show
For example, by analyzing video feeds Marketers can use visualizations to understand the impact of
different promotional displays or promotional signage and get a sense of how that's affecting
customer behavior in the store.
Applications of IoT is countless when devices, processes and people are integrated to form a
complete picture. Shoppers receive offers on their smartphones after communicating with beacons (a
low–cost piece of hardware used to transmit messages or prompt to a smartphone or tablet), while
manufacturers and distributors receive alarms at dock doors when outgoing shipments are incorrect,
based on RFID readings.
Let us take a look at some of the industry use cases of application of IoT in retail:
Disney has RFID–enabled MagicBand wristbands that provide theme park access, entry access for
guest hotel rooms, and cash and card–free payment food and merchandise. All the activity in the
park is also 'tracked data' that helps build a better picture of how guests use Disney services.
Online retailing giant Amazon is once again disrupting bricks and mortar retailing with the Dash
Button, a WiFi enabled device that is mapped to specific consumer packaged goods products like
laundry detergent. All that a consumer needs to do when the current supply is running low is to tap
the button stuck to the washing machine which generates an order, transaction and delivery of a
fresh supply of detergent.
Hugo Boss has

Strawson And Jean Donnellan Summary
Donnellan, in "Reference and Definite Description," outlines two uses of definite descriptions. He
argues that definite descriptions can either have an attributive or a referential use. While theories
outlined by Strawson and Russell account for a single use, Donnellan advocates for both. To explain
both the attributive and referential uses, I will review two examples. The first example, put forth by
Donnellan, is for the statement "Smith's murderer is insane." There are two ways of interpreting this
statement, based on whether the definite description attributes or refers. In one situation, the
audience does not know who murdered Smith. If this is the case, then the speaker does not pick
someone out. Instead, the speaker's statement uses the definite description attributively. Here, the
definite description itself is what is most significant. Meanwhile, if someone, whom we will call
Jones, has been accused of the murder, the use changes. When the speaker now makes the statement,
the audience picks out Jones as the referent. The definite description has a referential use. It acts as a
tool for picking out a particular one or thing. ... Show more content on Helpwriting.net ...
Therefore, when we say, "Smith's murderer is insane," the implication is not true. The consequences
of this differ based on which use of description the speaker is employing. Under an attributive
usage, there would be no person who we can truly attribute insanity to. Meanwhile, with a
referential usage, the speaker could still successfully refer to Jones. However, the description,
"insane murderer" would no longer fit Jones. The act of picking out is the key function for a
referential use of a description. Even if the description is wrong, reference is still

The Pillars Of Analytics Scale
to 4 on the Pillars of Analytics scale (Davenport & Harris 36), Hero has some room for
improvement based on acceptance by the entire resource group. At this point, 20% of the Hero team
can dynamically use the analytics we currently offer. For example, 2015 was the first year that we,
as an operations and sales team, had a dynamic forecasting plan. We took the top customers making
up 80% of our annual revenue and projected out their volume by SKU, by month and kept a rolling
12 months of inventory planning based on each customer's growth objectives. Putting this plan
together resulted in an out of stock liability improvement of 15% and actual sales were within 1% of
budget projections. This project, a huge jump in our planning procedures, was completely facilitated
by three people in our organization that employs over fifty people. The issues above directly tie in to
the second pillar of Enterprise Wide Analytics. Although all departments have access to dynamic
analytical systems, most have zero interest in utilizing it. There have been several missed
opportunities for growth on analytical competition from the Operations side of the business.
However, with the success of the 2015 and 2016 forecasting models, the senior managers are
working to align efforts and optimize standard operating procedures that rely heavily on analytical
tools. This proven performance is slowly raising the bar for Senior Management commitment.
Although there is work to be done in respect to each of

Violence In The Workplace: A Case Study
Safety is an important factor and is a high priority in healthcare. Kelly, Fenwick, Brekke, and
Novaco (2015) shared that workplace violence impairs the staff perceptions of safety. However,
both patients and staff are affected by workplace violence in many ways, from physical to emotional
aspects. There are many reasons why violence occurs, that will be explained later in this paper. The
purpose of this paper is to explain the reason and importance of the chosen phenomenon of interest.
Moreover, primary and opposing philosophic viewpoints will be discussed, as well as ways of
recognizing and utilizing them in nursing. The ways of knowing patterns in nursing and the
utilization of these patterns will be explained, pertaining to nursing care. ... Show more content on
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The knowing addresses how nurses understand the knowledge. The doing of nursing entails the
actions of nurses, bringing both knowledge and practice together (Butts and Rich, 2015). The four
patterns of knowing, developed by Carper, include empirics. ethics, aesthetics, and personal
knowledge. Empirical knowledge is the scientific aspect of knowing. It is based on general
knowledge, and usually shared with other disciplines such sociologists and psychologists. Ethical
knowledge involves morals and judgement. This is used when determining right or good acts in
nursing practice, ensuring that the best decision is made and is right for the patient. Aesthetic
knowledge, the art aspect of nursing, involve of the nurse's understanding and acknowledgment of
other's living experiences. Showing empathy and respect to patients as they experience their life's
journey. Personal knowledge entails self–awareness and others, and interpersonal skills. These four
patterns of knowing shows that nursing practice consist of holistic patient care, and not being solely
scientific

Ambiguity In The Theory Of The Description Theory
In this essay I argue that the understanding of proper names seems to go beyond definite
descriptions. Therefore the Description Theory is not an adequate theory of proper name. I first
provide a brief explanation of the Description Theory, and its sub–theory, the Name Claim, followed
by a brief overview of the main arguments for the Description Theory. I then provide a more
detailed explanation of one direct argument: That it captures the intuitive logic of claims involving
proper names. I then explain the problem of 'Which description?', that there is 'no single determinate
description' (Lycan, 2000: 41) of a proper name. Finally I provide my own critique, showing why I
believe that the Description Theory leaves us with ambiguity in the description ... Show more
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They are equivalent to definite descriptions and therefore must be treated as definite descriptions
are. The Description Theory goes further saying that descriptivism about definite descriptions
asserts the existence and the uniqueness of the subject and ascribes a predicate to the subject. The
Description Theory captures the intuitive logic of claims involving proper names (Lycan, 2000: 39)
However, the Description Theory leaves us with ambiguity in the description of a proper name
because more than one description can be applied to one name and it does not enable us to know
which description is relevant. Therefore, there is a need to define what a relevant description of a
proper name is. This makes the Description Theory an inadequate theory of proper

How 3m Company Will Institute An Analytics Strategy
There is an increase in the reliance of analytical models in various business environments by
modern companies, which seek to make more accurate decisions. In essence, this requires business
firms to develop their competence in this area to enable them to manage their customer relationships
and supply chains more effectively. More importantly, knowledge of analytics allows companies to
identify factors that influence their business processes to ensure they have better control of different
activities they perform. Thus, efficient analytics strategies allow companies to optimize their
activities to ensure they offer a higher value to customers and other stakeholders. In this paper, the
discussion examines how 3M Company will institute an analytics strategy to achieve a high level of
competitiveness in its operations. Discussion The company deals in fast moving consumer products
and requires an analytics system that helps it serve the needs of its stakeholders more effectively. It
has three major rivals in the industry and seeks to streamline its supply chain and inbound inventory
processes to improve its cash flows. This implies that the ability of its employees to gather and act
on different sources of data will allow them a chance to perform their responsibilities in a timely
fashion. Thus, by becoming more conversant with various trends in the market, the organization will
be in a position to predict future performance in its key business units. Moreover, modern firms

New Bits Of Knowledge And Drive Business Planning Essay
Business Analytics refers to the skills, advancements practices for continuous iterative investigation
and examination of past business execution to pick up knowledge and drive business planning.
Business analytics concentrates on growing new bits of knowledge and comprehension of business
execution taking into account data and statistical methods. Conversely, business intelligence
generally concentrates on utilizing a predictable arrangement of measurements to both measure past
execution and guide business planning, which is also based on data and statistical methods
Business Analytics is focused on the most recent business intelligence tools, innovation and patterns
for business officials who plan, manufacture, and utilize business knowledge items and
arrangements. Today business intelligence and analytic technologies are permitting enormous
organizations to go big, go fast, go deep, go cheap and go mobile with business information.
During a period when associations in various business ventures offer practically identical things and
usage equal innovation, high–execution business strategies are among the last motivations behind
partition. Expansive parts of the past bases for contention are not any more open. Unique area
purpose of inclination doesn 't have any kind of effect in overall contention, and protective control
is, all things considered, gone. Prohibitive advances are immediately copied and jump forward
improvement in things or organizations has all the

The Company 's Code Of Ethics
2 INTRODUCTION
Jim Goodnight is the CEO of SAS and has lead the company since 1976.Jim has brought
innovations and corporate culture by his commitment and visions to meet the highest technology
and work–balanced. SAS which stand for "Statistical Analysis System" have values and work on
them to meet the highest standards and overcome boundaries to reach the future with great expertise
and tangible results. In fact, SAS are committed to the highest ethical standards in its dealings with
colleagues, customers, suppliers and competitors. Also, the company's Code of Ethics associated
with the compliance practices have earned the company its public reputation as an ethical and
responsible employer and business partner with are engaged to provide ... Show more content on
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Since then, SAS build a solid reputation for innovations that keep its reputations and its support
among the world's largest software companies. In fact, Goodnight has continued to improve work
through technology by reinvesting about a quarter of revenues each year in research and
development which could increase the percentage of other large software companies and businesses.
Since, SAS has increased its demands and services for software to help customers in industries,
pharmaceutical companies, banks, academic and governmental entities. Through the development of
the software in the industry, many organizations should become able to meet all expertise and can
computerize statistics program to analyze vast amounts of agricultural data collected through United
States Department of Agriculture (USDA) grants. So, the Development of such software was really
important to members of the University Statisticians Southern Experiment Stations, a consortium of
eight land–grant universities that received the majority of their research funding from the USDA.
Together, the schools came under a grant from the National Institutes of Health (NIH) work to create
a general–purpose statistical software package to analyze all the agricultural data they were
generating. Thus, the Statistical Analysis System gave SAS both the basis for its name and its
corporate

20th Century Philosophy
This week's paper we were to research and identify three prevailing philosophical perspectives at
work during the 20th Century. To begin I will research the history of a few new tendencies in
contemporary philosophy. Then I will discuss the Tom Rockmore interpretation of such tendencies.
Tom Rockmore is Professor of Philosophy and a McAnulty College Distinguished Professor, Dr.
Rockmore's current research interests encompass all of modern philosophy, with special emphasis
on selected problems as well as figures in German idealism (Kant, Fichte, Hegel, Marx) and recent
continental philosophy (Heidegger, Habermas, Lukacs). He is continuing to explore the
epistemology of German idealism as well as the relation between philosophy and ... Show more
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The most practical of analytical philosophy also included Moore, and Carnape. The American (neo)
pragmatism philosophy is a philosophical movement that was given systematic terms by Charles
Sanders Peirce and William James and later taken up and revamped by John Dewey. Pragmatists
stress the practical purpose of knowledge as a way for acclimatizing to reality and controlling it.
Pragmatism concur with empiricism in its emphasis on the importance of experience over a priori
reasoning. However the truth had customarily been discussed in terms of communication with
reality or in terms of coherence pragmatism embraces that truth is to be sought in the process of
verification. Pragmatists translates ideas as means and plans of action rather than as images of
reality; more specifically, they are recommendations and anticipations of possible conduct,
hypotheses or forecasts of what will result from a given action, or ways of organizing
behavior(Answer,2010)
Between the continental and the analytic philosophy, being the two most significant tendencies,
barely any debate was taking place; this was due to the lack of knowledge, contempt, and mutual
lack of attention. In spite of this, the situation is changing slowly: especially American philosophers
like Taylor, Nagel, Rorty and others converse subjects in which until recently only

A Plea for a Peircean Turn in Analytic Philosophy Essay
A Plea for a Peircean Turn in Analytic Philosophy
ABSTRACT: Criticisms of analytic philosophy have increased in intensity in the last decade,
denouncing specifically its closing in on itself, which results in barrenness and ignorance of real
human problems. The thought of C. S. Peirce is proposed as a fruitful way of renewing the analytic
tradition and obviating these criticisms. While this paper is largely a reflection on Hilary Putnam's
study of the historical development of analytic philosophy, not only can some of its main roots be
traced back to Peirce, but also the recent resurgence of pragmatism can be regarded as a pragmatist
renovation of the analytic tradition. Further, Peirce's thought offers suggestions for tackling some ...
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On the one hand, not only can some of the main roots of analytic philosophy be traced back to
Peirce, but the recent resurgence of pragmatism (Bernstein, 1992) can also be regarded as a
pragmatist renovation of analytic philosophy. On the other hand, Peirce's thought offers suggestions
for tackling some of the most stubborn problems in contemporary philosophy, and in particular he
may help us to shoulder once again the philosophical responsibility which has been largely
abdicated by much of 20th century philosophy (Debrock, 1992: 1).
In order to show this, my paper is divided in four sections: 1) A brief description of the decline of
analytic philosophy; 2) the return of the history of philosophy as a key to its recovery; 3) Charles S.
Peirce's relevance, and finally, 4) Peirce and analytic philosophy.
1. The decline of analytic philosophy
When Wolfgang Spohn became the managing editor of the new Erkenntnis he referred to its first
eight volumes as "a historically singular document, signaling a new era in philosophy with great
enthusiasm and optimism" (Spohn, 1990:1). But sixty years after the founding of Erkenntnis it is
really difficult to be so enthusiastic about analytic philosophy when one notices the decline of
logical empiricism, the bewildering specialization within philosophical inquiry, and contemporary
disorientation and eclecticism in philosophy. These

How to Compete on Analytics Essay
How to Compete on Analytics Thomas Davenport describes the prerequisites and the five stages of
analytic competitiveness By Alison Bolen Thomas Davenport's article "Competing on Analytics"
was the best‐selling Harvard Business Review reprint in 2006. To write it, Davenport,The
President's Distinguished Professor in Management and Information Technology at Babson College,
studied the characteristics of more than 50 leading organizations that have made a commitment to
quantitative, fact‐based analysis. Why is the January 2006 Harvard Business Review article so
popular? We recently asked the author and educator that question and discussed further insights
from his research that will be detailed in his new book, Competing ... Show more content on
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I don't think that's a coincidence. What needs to be done before a company can begin to compete on
analytics? DAVENPORT: There are two major prerequisites. One is human, and the other is
technical. The human prerequisite is that you need to have leaders who appreciate and understand
what it means to compete on analytics, and want to do it. Second, having high‐quality, integrated,
clean data is something of a prerequisite. One of the reasons that companies are interested in this
right now is because they finally have access to all this data from ERP systems, Web reports, point‐
of‐sale systems and so on. Today the tools that SAS and others provide for integrating and cleaning
data are better than ever before. From there, what are the stages of competing on analytics?
DAVENPORT: I call stage one "analytically impaired," which means some fatal flaw is keeping the
company from doing much with analytics at all. Either the executives just don't care or they have
bad transaction data or they have lots and lots of data silos around the organization ‐ something
major keeping them from doing this at all. Stage two is what we used to think of as a best practice in
business intelligence, which is a lot of little pockets of analytical activity around the organization ‐
not connected, no vision of what you could do with it at all. I sometimes call this the Aleutian Island
strategy: There are a lot

Analytic Functionalism As A Philosophy Of The Mind
Michael Lock
Professor Davis
PHIL 110000
28 April 2015
Analytic Functionalism as a Philosophy of the Mind
In an attempt to bridge the gaps between the philosophy of behaviorism and the identity theory, I
have determined that functionalism presents us with the best solution. Although there are several
concerns to the methodic explanation of mental states, I believe that analytic functionalism is a
credible model that describes the mind. Analytic functionalism establishes an ontological method
that provides more acceptable ways to describe and characterize the mind. I will contend my point
by first explaining the evolution into functionalism, specifically analytic functionalism. I will then
explain one of the most prominent objections, the "Chinese Room" argument by John Searle.
Beyond this argument, I will offer my rebuttals for these assertions and stipulate reasoning for
analytical functionalism's rational reliability as a suitable philosophy of the mind.
With the decline of behaviorism, the identity theory, or type physicalism, gained popularity within
the philosophic community. J.J.C. Smart, also aiming to work reductively to shrink mental states to
an uncomplicated classification, introduced the stance that identity theorists began to agree with.
This was the theory that physical brain states could be simply equated with mental states. For
example, the mental state of pain could be associated with the firing of the localized c–fibers region
of the brain. What this

Lighthouse 's Distinctive Capabilities Are Trustworthiness...
Lighthouse's distinctive capabilities are trustworthiness and service. Our advisors love to educate
their clients, they do not pressure anyone into something that is not a good fit, and there is great
delivery on promises once a relationship is formed. Because of this, there is never a lack of referrals.
Lighthouse is a small business, there are not multiple departments. One benefit of a small business is
that the advisors make key decisions as a group. For example, in January we left our former broker
dealer and moved to LPL Financial, LLC. Everyone cooperated with the decision and began the
substantial task of repapering all accounts. The CEO of Lighthouse is also the principal advisor of
the firm. He values the use of some analytics, ... Show more content on Helpwriting.net ...
Stage four organizations have to smooth over any remaining barriers to becoming an analytical
competitor. For instance, it could be a matter of changing the culture, ensuring decisions from upper
management are being followed through on lower levels. In order to transition to the next stage, the
company needs to strategize and focus on one or two traits that lead to an advantage. Stage five
organizations have all the components necessary to be considered an analytical competitor. The
company is exploring new metrics, examining their processes and looking for ways to improve. The
company has the data, technologies, and staff to remain competitive and profitable. In order for
Lighthouse to move through the final two stages there would need to be significant resources
devoted to increasing data available, purchasing software, and implementing ongoing analytics
projects and future planning.
How does your company create competitive advantage with analytics? Analytics is using data,
performing analyses and adjusting business processes and goals with that information (Davenport
and Harris, 2007). Unfortunately, Lighthouse is not creating a competitive advantage with analytics
at this time. The data is not available and the emphasis on analytics is not present.
How does your company compete internally on analytics? Lighthouse is not competently competing
internally on analytics. There are no shareholders, thus the only reporting that is done is

E Commerce And The Global Economy
This is the age of the Internet and uses for this technology are expanding everyday. Some of the
major newer uses include social networking, public broadcasting, global commerce, etc. E–
commerce has become the way business is being transacted in the global economy. Most businesses
are using enterprises software (SAP, Oracle, etc.) to manage their business and data mining to
become more strategic in order to increase the profits of their companies. Amazon.com is using
sophisticated analytics applications. Amazon pioneered business analytics to become the leader of
retail industry in the world. Another example of a major online retailer is TaoBao.com in China. It
dominates the online retail industry in China and claims more than eight ... Show more content on
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Google Analytics has many tools under the categories of data collection and management, data
consolidation and data analysis that can help even small companies to reach the right audiences
efficiently by understanding who their customers are and how best to reach them. For instance, the
Collection and Configuration APIs help you collect data and manage your account in custom,
scalable ways. The Data Import functionality allows an enterprise to join the data from their CRM
(Customer Relationship Management, a CRM system allows businesses to manage business
relationships as well as the data and information associated with them), content management, and
other systems with the data in their Google Analytics account for faster, more sophisticated insights.
In this way, a company can understand more about the background of their customers, as well as
their preferences and behaviors. There is an e–purchasing platform company called Jet.com. Jet is a
members' only shopping club offering savings on most of the categories of products that Amazon
has. Compared to Amazon.com and Walmart.com, it is a small company. However, as a startup
company they have a unique model that could prove very competitive with larger retail enterprises.
Many of their products are at least 10% cheaper than Amazon Prime. Jet has a special program that
works in

Russell On Denoting
"On Denoting" and Definite Descriptions: Russell's Puzzle Solutions In his work, "On Denoting",
Bertrand Russell proposes a theory of denoting and descriptions, which he summarizes as follows:
Everything, nothing, and something, are not assumed to have any meaning in isolation, but a
meaning is assigned to every proposition in which they occur. This is the principle of the theory of
denoting I wish to advocate: that denoting phrases never have any meaning in themselves, but that
every proposition in whose verbal expression they occur has a meaning. (480) Russell contends that
the "difficulties concerning denoting are [...] all the result of a wrong analysis of propositions whose
verbal expressions contain denoting phrases" (480). In ... Show more content on Helpwriting.net ...
In considering this puzzle, Russell first introduces the principle of the indiscernibility of identicals
(hereafter the indiscernibility principle), which states that "[i]f a is identical to b, whatever is true of
the one is true of the other, and either may be substituted for the other in any proposition without
altering the truth or falsehood of that proposition" (485). That is, two identical entities can be used
interchangeably in any statement without altering the truth–value of the statement in question.
Russell then sets forth the proposition 'George VI wished to know whether Scott was the author of
Waverly ' and concludes that, since Scott was in fact the author of Waverly, one can replace 'the
author of Waverly ' with 'Scott ' and "thereby prove that George VI wished to know whether Scott
was Scott" (485). Under the indiscernibility principle, both propositions are true since the terms 'the
author of Waverly ' and 'Scott ' are identical and thus wholly substitutable for one another. However,
while Russell finds the first proposition to be true ( 'George VI wished to know whether Scott was
the author of Waverly '), Russell concludes that the second proposition, 'George VI wished to know
whether Scott was Scott ', is false due to the fact that "an interest in the law of identity can hardly be
attributed" to George VI (485). Herein lies the Substitutivity Puzzle. The

Closing Out False Flag Tickets
closing out false flag tickets. This allowed the team to focus its efforts back on its primary ticket
load, improving overall customer service as time to resolve tickets decreased. Analytical Aspirations
In October of 2015, ETS began an effort to extrapolate more meaning from the data. The need for
advanced analytics, and proactive solutions to problems became a central focus for the organization.
Over 150,000 tickets were analyzed for textual similarities. Alerts that automatically generate tickets
were a key finding, since each type of alert had similar ticket descriptions. Tickets were then
categorized and grouped by the type of alert the ticket was representative of. As of 2016, ETS has
successfully categorized over 200,000 incidents into over 80 distinct categories. ETS uses these
categories to trend out tickets over time, and see what common issues impact applications, servers,
network devices, and databases. For example, in January of 2016, it was identified that there was a
sudden increase in alerts for low disk space on the C drives of servers running the Windows 2008
operating system. We compiled the data into a report, which was then presented to the leading
manager of the Windows Server Support team, who then had their team investigate the issue. It was
then decided to increase the amount of C drive space on the impacted servers. Their process was
also updated to increase the amount of memory allocated to the C drive on new server builds. The
use of

Bertrand Russell on Analytical Philsophy Essay example
"The point of philosophy is to start with something so simple as not to seem worth stating, and to
end with something so paradoxical that no one will believe it"
– Bertrand Russell, The Philosophy of Logical Atomism.
Bertrand Russell was born in 1872 in Wales, England as a member of a famous British family. He
received a degree from Trinity Cambridge College with honors in Mathematics and Moral Sciences.
His most famous works included the subjects of logic and philosophy, which were deeply rooted in
his mathematics background. In fact, Russell is probably the most highly regarded and most read
English–speaking philosopher of our time. Russell was not merely an intellectual, but also a political
and social activist, writing many ... Show more content on Helpwriting.net ...
The Analysis of the Mind written in 1921 show the connections between Russell's views on the
nature of the mind and how matter is altered in relation to it. Russell's key themes seem to be that of
physical vs. psychological. In fact, Russell expands on the ideas that there is in fact no difference
between the two and the only key difference is the perception given by the person trying to
distinguish between the two. Russell sees the difference between physics and psychology only in the
laws that bind them, or so he states in the opening while it seems this theory will be altered
throughout his books.
Consciousness is logically fundamental. Without it, how can there be anything observed or even
thought about? We need consciousness to experience anything, including but not limited to, "
sensations and images, memories, beliefs, and desires" . Consciousness is, in essence, the most
important aspect of the mental state, but Russell does not agree, and says so in the following
passage; " `Sensation, in the strict sense of the term, demands the existence of consciousness.' This
statement, at first sight, is one to which we feel inclined to assent, but I believe we are mistaken if
we do so." Russell actually holds to the idea that while consciousness is important, it is not
necessary. Russell states that he believes we are not always aware of things that happen, and
therefore consciousness is

A Report On Business Analytics
Business Analytics is a field that is becoming popular in the business world as the year's progress.
There is always something new in the world of business to help improve companies and their sales.
The success of using analytics to help develop a company is encouraging others to join this way of
studying data to make decisions that will benefit the profit of the company. The increased use of
data to increase sales, revenue and to help make business decisions is a large part of the sports
industry. For years, teams have used analytics to make decisions on what players to draft, positions
to place players in, as well as many other parts of the game. Analytics has been a large part of not
only game play, but also for the business aspects ... Show more content on Helpwriting.net ...
Business analytics is helping businesses decide where to invest, increase profit and make the most
out of their company based on data that is collected and analyzed. As described in the article, The
New World of Business Analytics, "business analytics can be defined as the broad use of data and
quantitative analysis for decision–making within organizations" (4). The use of this type of research
is developing new insights and understanding of the performance of a business. Through the
increase in data analysis, companies are able to make decisions based on the information that they
have received and studied. Observing analytics can be thought of as, "thinking differently, asking
questions, and never being satisfied with doing things the way they have always been done."
(Analytics, Not Statistics, Driving NHL Evolution) As a field that is requiring more researchers,
business analytics is becoming a popular field of study at many universities because of the increased
need of employees by companies because of the success rate of business analytics techniques.
Analytics is observing statistics and finding the meaning behind those statistics. Companies and
students in the business field know the "increased importance of quantitative analysis of data for
understanding, prediction and optimization." ("The New World of Business Analytics", 2) The
collection of data is one of the most important steps in the analytics process because without

Empiricism, Positivism, And Positivism Essay
The Science is the idea that we need to understand and distinguish it from other kinds of
investigation in the world. We also refer it as "empiricism", the scientific way we gain our
knowledge from experience. Empiricism is also a view that all kinds of knowledge come from, not
just scientific knowledge. Scientific thinking and investigation have the same basic pattern as
everyday thinking and investigation. (Godfrey–Smith, 9) Again, we call it "empiricism" in terms of
philosophical way, but in earliest form, the "empiricism" was referred as "logical positivism".
Logical Positivism is a systematic reduction of all human knowledge to logical and scientific
foundations. Thus, a statement is meaningful if it is either purely formal (essentially, mathematics
and logic) or capable of empirical verification (Mastin,12) One of the most important American
philosophers, W.V.O. Quine, creates the two dogmas of empiricism and logical positivism. The two
dogmas that Quine attacked were the distinction between analytic and synthetic statements and the
verification dogma of radical reductionism (Mattey,8) Quine discusses against both the dogmas,
with two consequences: A blurring of the distinction between natural science and metaphysics and a
turn toward pragmatism (Mattey,1) Although he made arguments on the dogmas of empiricism and
logical positivism, Quine criticized on empiricism that the analytic and synthetic statements have
definitions that are mere reports of the synonymy of

Case Study : Data Global Delivery Services
In this paper I am going to share my last company NTT DATA GLOBAL DELIVERY SERVICES
LTD's tactics, strategies, operations and management and its usage of analytics in the global market
to achieve its goals. In this competitive world, many of the former industry's strategic alternatives
are no longer viable or likely to be successful. Today, there are few regulated monopolies, or
companies with unique geographical access. Proprietary technologies are rapidly copied by
competitors, and breakthrough innovation in either products or services is rare. Most of the
competitive strategies organizations are employing today involve optimization of key business
processes. Instead of serving all customers, they want to serve optimal customers– those with the
highest level of profitability and lifetime value. Instead of receiving goods and services whenever
they happen to arrive, they attempt to optimize supply chains to minimize disruptions and in–
process inventory. Instead of looking backward at their business performance and making ex post
facto adjustments, they seek to understand how optimum nonfinancial performance drives optimum
financial performance, and to make accurate forecasts of future performance so they can react in
advance of situations. Instead of throwing money at business problems, they seek to optimize their
use of capital. But strategies involving optimization require something different than those based on
taking business as it comes. The cost–effective and

Analytic Philosophy : Modality And The Iron Triangle
Modality and the Iron Triangle
Analytic philosophy had major influences on theories of meaning and the discussion of language. In
this paper, I will discuss some of the most significant people in this period and analyze the success
or lack of success for each theory in the period of analytic philosophy. The names of discussion are
Bertrand Russell, Alfred Ayer, and Saul Kripke. While other influencers of analytic philosophy
certainly exist, I will focus on these authors. Each writer was a founder of a movement of thought or
a beginning step to change in analytic philosophy, so their theories have major consequences on the
understanding on language and meaning. In particular, Russell was a major voice in the circles of
descriptivism, Ayer was a logical empiricist, and Kripke focused on modality and possibility. Rather
than describe each of these authors' views on their respective movements, I will focus on the
consequences of their views on a particular model in the philosophical discussion of meaning: the
iron triangle. This model is a description of meaning with three points based on knowledge, the
method of learning that knowledge, and the possibility of that knowledge. In this paper, I will
describe each philosopher's ideas on the iron triangle, Ayer's specific project on the model, and
Kripke's subsequent challenges to Ayer.
Firstly, Bertrand Russell's approach to meaning is descriptivist, and this theory is integral to
Russell's understanding of the iron triangle. This

Benefits Of Business Intelligence Software
10 Benefits of Business Intelligence Software
Making decisions is an important part of the business world. However, without the proper
information and data, it is easy for decisions to be made poorly. For this reason, business
intelligence has been simplifying the process of delivering information and data to key decision–
makers ever since it was first developed.
Naturally, there are many methods available to help make the business intelligence more effective.
However, one of the most valuable tools is business intelligence software. This software comes in
many shapes and forms, but offers quite a few benefits to businesses.
What is it?
Business Intelligence software is designed to help improve the flow of data through the different
working parts of an organization. With this data, business leaders are better equipped to analyze the
decisions that their business is faced with.
Reports and analytics are just a couple of the valuable items created by business intelligence
software. These items will help show trends in sales, customer interest, inventory and a vast number
of other items.
Benefits of Business Intelligence Software
When leaders have access to more and better quality data, there is bound to be a number of benefits
involved. If you are looking to decide whether your company needs business intelligence software,
make sure you consider the following ten benefits of it during your analysis process. They will help
you make a better decision.
1. Better Decisions
One of

Essay On Analytics
Organizations are dealing with a tsunami of data from businesses, humans, and now machines
through the Internet of Things. Generating timely insights and predictions has become crucial to
capitalize on fast–moving business opportunities. With business analytics now focused on the future,
predictive and prescriptive analytics are taking a front seat. As a Lead Assistant Manager with EXL
Services Decision Analytics, I have gained essential skills in model development and monitoring
while enabling the business to predict and mitigate losses. I aspire to extend my knowledge on
multiple technical and business domains through an intense MS program. Information has been my
strength throughout my student life. Grasping data from different ... Show more content on
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Eagerness to learn more and the ability to grasp concepts quickly earned me a position in Risk
Analytics team with a premier UK– based multinational bank. With an objective to address
Economic Capital Charge as per IAS39 accounting standards, I designed a loss forecasting model
based on historical recovery trend. To incorporate bulk recoveries from debt sale, I evolved an
overlay methodology addressing multiple types of debt sale strategies. Having generated a
favourable financial impact , I received Mastermind award as a part of Rewards and Recognitions at
EXL. In addition, I worked on model monitoring projects focused on improving the accuracy and
robustness of the risk models. Within one and a half year at EXL, Management reco gnized me as a
star performer with excellent analytical, programming and communication skills and promoted me
to the post of Assistant Manager. Post promotion, I led the rebuild of Probability of Default
Impairment Forecasting Model under the IAS39 accounting standards for one of the high materiality
credit card portfolios. Exploratory analysis of portfolio default trends revealed that the existing
models were underpredicting the impairment loss. We revised the model methodology and generated
an impact of over 100 million USD on impairment provision of the banks. Here, I leveraged my
leadership skill to train team members, technical skills to design efficient SAS code automating
model development process across products, and

How Software Development Process Is Important For...
Software development process is key to obtaining a competitive advantage over competitors.
PricewaterhouseCoopers (PwC) is working on ways to leverage data analytics technology with its
audit practice. Business analytics is a new way for companies to separate themselves from their
competitors. I recently completed an internship at PwC and will work there full–time upon
completion of this program. PwC uses analytics to help solve complex business issues and to
identify opportunities across different industries. PwC is the largest professional service company in
the world and is part of the Big Four accounting firms. PwC operates in over 157 countries with
more than 750 offices throughout the world. (2) PwC is structured into three service lines, which are
Assurance, Advisory and Tax. The assurance practice audits almost 30% of the global fortune 500
companies. (2) The advisory practice consists mainly of consulting activities that cover strategy,
cyber security and privacy, human resources, deals and forensics. (2) These three practices
generated $35.4 billion in revenue in 2015. (2) PwC's Software Development Efforts PwC is
constantly searching for ways to develop software since data is a growing asset that various
businesses are having difficulty converting into a powerful strategic tool. PwC can "apply data
driven insights across the enterprise, including financial assurance, tax, technology, operations,
customers, human capital, risk, regulatory and deals."

An Introduction To Social Web Mining And Big Data?
"Torture data long enough and it will confess. . . but may not tell the truth" (Turbin, Volonino, &
Woods, 2015, p. 88). In the world of Big Data Analytics (BDA), companies who successfully
harness the potential of big data are rewarded with valuable insight that could lead to a competitive
advantage in their market sector. Consequently, it is imperative to successfully extract data from all
relevant data sources that can provide answers to questions that companies set out to answer with
BDA. One such source is data generated by social media (Schatten, Ševa, & Đurić, 2015). As such,
this paper will review the findings of Schatten, Ševa, & Đurić's(2015) article on how social web
mining and big data can be utilized within the social ... Show more content on Helpwriting.net ...
90) (ETL) to prepare the data for analysis. Also, context, time and space (location) are essential to
provide meaningful data for analysis.
Moreover, it is critical to use the correct analytical tools and understand the drawbacks of each to
provide the accurate results. In the article, the authors demonstrated how a combination of tools
could be used to extract, transform, and analyze data using social semantic web techniques and big
data analytics such as social web mining, social and conceptual network analytics (SNA), speech
recognition and mission vision, natural language processing (NLP), sentiment analysis,
recommender systems and user profiling, and semantic wiki systems to address various research
questions. As the authors aimed to analyze the Croatian political landscape, analytical tools like
NLP were less effective as there was a limited database for the Croatian language. Thus, the authors
had to use a combination of tools to overcome the shortcomings of the NLT to create a true picture
of the landscape. Also, from personal experience, standard speech recognition, for example Siri, has
trouble understanding accents. Thus, words spoken in outlier accents are not processed correctly and
could produce a skewed analysis based on inaccurate speech recognition patterns.
As such, understanding the requirements of the predication goal, selecting a combination of relevant
tools, analyzing and producing effective models predicting

Analysis & Case On Use Of Business Analytics Framework
"Moneyball" Analysis & Case Study on the Use of Business Analytics Framework"
Dheeraj Dwivedi
School of Professional Studies, Northwestern University, Spring 2016, Section 58 "Moneyball"
Movie Analysis & Case Study on the Use of Business Analytics Framework "Moneyball" movie is
about the war between intuition and statistics. I would start my analysis with one of the many
interesting quotes in the movie. "The problem we 're trying to solve is that there are rich teams and
there are poor teams, then there 's 50 feet of crap, and then there 's us. It 's an unfair game. And now
we 've been gutted. We 're like organ donors for the rich. Boston 's taken our kidneys, Yankees have
taken our heart. And you guys sit around talking the same old "good body" nonsense like we 're
selling jeans. Like we 're looking for Fabio. We got to think differently. We are the last dog at the
bowl. You see what happens to the runt of the litter? He dies." (Moneyball movie, 2011)
This movie centers on the character of Billy Beane, general manager of Major League Baseball's
Oakland Athletics. In the movie, Billy couldn't re–sign Oakland's best 3 players after the 2001
season due to having a payroll a fraction of A's competitors. He was facing a challenge of building a
new team with a limited payroll and to accomplish this he needs to have a competitive strategy.
While restructuring the team, he meets heavy resistance from his scouts, who argue that their years
of baseball experience and

Using Analytics More And More
The company I am with is beginning to use analytics more and more. We are on step 1 of the five
step process, so we still have a lot to learn and set goals on. We have just started using them so that
we can compete with the "top dogs" of the bank data processors. I believe that if we didn't use
analytics one of the big competitors would come in and try to buy out the company. We are looking
into ways to help use analytics so that we can strengthen our position in the service and show that
we can handle any size community bank. We have created a Business Intelligence department to
look into ways that we can improve products, forecast what a bank may buy when signing a
contract, and to see how to pitch our regulatory compliance products to other companies to help
them with their compliance. We are competing pretty well with the top 3 processors. We have been
told that when they hear we are negotiating to sign the same customer as them, they get worried.
They know we have a rock solid pitch and use analytics to back up our numbers along with
testimonials from other customers how our products have help them compete with the non–
community banks, retain customers, and bring in the younger generation with the use of technology.
Without analytics, I feel that we would not be able to offer the banks what they need and sell our
other products to help them maintain the needed guidelines that keep changing.
Describe your company 's position within the pillars of analytics competition

Proprietary Technologies Vs. Infrastructural Technology
Proprietary technologies vs. Infrastructural technology
Proprietary technologies can be owned, actively and effectively, at times by a single company. For
instance, a pharmaceutical holding a patent on a particular compound that is the basis for a drug is
an example of proprietary technologies. Infrastructural technology on the other hand provides more
value when shared rather than used by a single organization. A company having all the rights to
building railroads is an example of Infrastructural technology. This company can operate efficiently,
but the effect to the economy is greater if the technology is shared and companies build railroads
that can connect more buyers and sellers. Holding proprietary technologies, according to ... Show
In fact, IT is nothing like transport or electricity, and according to Ben Bernanke, we are in the early
days of the IT revolution as computing speed and memory continue to increase – we've only scratch
the surface3.
Carr's reasons why IT is a Commodity
IT, according to Carr, has become affordable to all and therefore, it has been a commodity. He
further argues that the use commodities do not lead to a completive advantage, and believes that IT
has become commoditized for the following reasons:
IT is highly replicable
The arrival of the internet has accelerated the its commoditization
IT is subject to rapid price deflation
I agree with Carr's assessment on the commoditization of IT to some degree. For instance, it makes
no sense for an organization to spend money in customizing a product when a similar product can be
bought at a relatively good price. Organizations no longer write their application, they simple buy
one that is available in the market (e,g. Microsoft Office).
I do not agree with Carr when he states that organizations such as IBM and Microsoft recognize this
trend and have position themselves as IT utilities companies as more companies replace customized
application with generic ones. That the internet has increased the commoditization of IT by
providing a perfect delivery channel for generic applications and more and more organization will
obtain their IT requirement by purchasing fee–based web services

Essay On Analytics
Analytics is demanding skill in Industries today. Software Engineer, Big Data Platform Engineer,
Information Systems Developer, Platform Software Engineer, Data Quality Director are generalised
roles in any analytics firm. The median salary for professionals with big data expertise is $124,000
annually.
Roles specific to the finance industries are classified in following three broad categories; Economist,
Strategist and Quant. Economist analyses data and trends in economy in order to explain current &
future circumstances. They work with investment banks, asset managers and hedge funds,
governments, central banks . They are good writers , teachers , lecturer or public speakers. Strategist
focuses not only on the economy but also on broader ... Show more content on Helpwriting.net ...
Mask discrimination is one of the factor. A credit rating company peeps into customer's social media
profile, job history and other public data to enable banks target credit card offers to clustered
consumers. In 2008, company CompuCredit Corporation, a Visa and MasterCard marketing firm
(now, Atlanticus Holdings Corporation) was penalized for not disclosing behavioral scoring model
which churns some consumers resulting bias customer scoring. Uneven decision support is another
major factor that affects customers financial standing. Credit card companies are using fraud
analytics for detecting uneven transactions and flag those customers. But there are cases where the
customer is genuine and has made some transactions unknowingly which may be flagged as fraud.
Analytic system that approve loans for customers are also linked to these records results in denial of
proposal for qualified customer. With high volumes of data analytics, security stays a big concern.
Data security from cyber criminals or hackers. And from renowned organization or body. Edward
Snowden's revelations about the US National Security Agency spying on American citizens and
European officials have shaken the world.
Today, most financial services organizations try to solve all their big data challenges using either
grid or cluster technologies. These data analytic technologies have solved several problems around
the world.
Targeted campaign to reduce customer base churn by 15% made possible for

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