Analysis Of Data Quotes & Sayings

The inadequacy of unidimensional plotting along a continuum (in this case the diagonal of a symmetric matrix) inevitably would make "buffer" elements appear non-conformist when in fact they may be part of an interconnected pattern. — Jennifer K. McArthur

The authors, academics from Northeastern University, Harvard University, and the University of Houston, concluded that Google Flu Trends had wildly overestimated the number of flu cases in the United States for more than two years. The article, "The Parable of Google Flu: Traps in Big Data Analysis," concluded that the errors were, at least in part, due to the decisions made by GFT engineers about what to include in their models - mistakes the academics dubbed "algorithmic dynamics" and "big data hubris. — Clayton M Christensen

The challenge of data analysis is how to bring vast amounts of information into productive contact with human intelligence. — Anonymous

The latest technologies are often sexy, but beware of solutions that vendors dress up like trollops, unless you're looking for a one-night stand. — Stephen Few

That's the chain of thinking: D-A-D-A. Getting data leads to analysis. Analysis leads to a decision. A decision leads to an action. Simple. That's how thinking works. — John Braddock

Blogging, writing conventional articles, and being science consultant and pocket protector ninja to various web portals and TV programs, quite often trying to promote the penicillin of hard data to people who had no interest in being cured of their ignorance. — Stephen L. Burns

Signals always point to something. In this sense, a signal is not a thing but a relationship. Data becomes useful knowledge of something that matters when it builds a bridge between a question and an answer. This connection is the signal. — Stephen Few

Philosophy, like science, consists of theories or insights arrived at as a result of systemic reflection or reasoning in regard to the data of experience. It involves, therefore, the analysis of experience and the synthesis of the results of analysis into a comprehensive or unitary conception. Philosophy seeks a totality and harmony of reasoned insight into the nature and meaning of all the principal aspects of reality. — Joseph Alexander Leighton

A masterly analysis of how political interests, economic circumstances, development strategies, and local history have shaped what are surprisingly different versions of the welfare state across the developing world. The authors combine fine-grained country analyses with intelligent use of data, and explain and extend the theory and literature on the modern welfare state. The book is both scholarly and readable. — Nancy Birdsall

A dispassionate conceptual development of the typology of violence must by definition ignore its traumatic impact. Yet there is a sense in which a cold analysis of violence somehow reproduces and participates in its horror. A distinction needs to be made, as well, between (factual) truth and truthfulness: what renders a report of a raped woman (or any other narrative of a trauma) truthful is its very factual unreliability, its confusion, its inconsistency. If the victim were able to report on her painful and humiliating experience in a clear manner, with all the data arranged in a consistent order, this very quality would make us suspicious of its truth. — Slavoj Zizek

Given for one instant an intelligence which could comprehend all the forces by which nature is animated and the respective positions of the beings which compose it, if moreover this intelligence were vast enough to submit these data to analysis, it would embrace in the same formula both the movements of the largest bodies in the universe and those of the lightest atom; to it nothing would be uncertain, and the future as the past would be present to its eye. — Pierre-Simon Laplace

They do not merely collect texts; they must also gather data about the context and the informant and, above all, write an analysis of the items based upon the course readings and lecture material on folklore theory and method. — Alan Dundes

The more time I spent in Finland, the more I started to worry that the reforms sweeping across the United States had the equation backwards. We were trying to reverse engineer a high-performance teaching culture through dazzlingly complex performance evaluations and value-added data analysis. It made sense to reward, train, and dismiss more teachers based on their performance, but that approach assumed that the worst teachers would be replaced with much better ones, and that the mediocre teachers would improve enough to give students the kind of education they deserved. However, there was not much evidence that either scenario was happening in reality. — Amanda Ripley

We need to think harder and smarter. What we really need is holistic analysis, not holistic media data. We need to make better use of what we have. We need to dig deeper and ask, 'Do you need to repeat the whole study or can you examine the bits that have changed and re-calibrate?' — Jenny Beck

Stated simply, an Excel spreadsheet, or more likely a proliferation of these spreadsheets, is ill-suited for the longer-term data management and analysis required by Six Sigma teams. — Thomas Pyzdek

The results of decades of neurotransmitter-depletion studies point to one inescapable conclusion: low levels or serotonin, norepinephrine or dopamine do not cause depression. here is how the authors of the most complete meta-analysis of serotonin-depletion studies summarized the data: Although previously the monoamine systems were considered to be responsible for the development of major depressive disorder (MDD), the available evidence to date does not support a direct causal relationship with MDD. There is no simple direct correlation of serotonin or norepinephrine levels in the brain and mood.' In other words, after a half-century of research, the chemical-imbalance hypothesis as promulgated by the drug companies that manufacture SSRIs and other antidepressants is not only with clear and consistent support, but has been disproved by experimental evidence. — Irving Kirsch

Chevron, for example, has a decision-analysis group whose members facilitate decision-framing workshops; coordinate data gathering for analysis; build and refine economic and analytical models; help project managers and decision makers interpret analyses; point out when additional information and analysis would improve a decision; conduct an assessment of decision quality; and coach decision makers. — Harvard Business School Press

Liberals are more likely to see people as victims of circumstance and oppression, and doubt whether individuals can climb without governmental help. My own analysis using 2005 survey data from Syracuse University shows that about 90 percent of conservatives agree that "While people may begin with different opportunities, hard work and perseverance can usually overcome those disadvantages." Liberals - even upper-income liberals - are a third less likely to say this. — Arthur C. Brooks

Everything that informs us of something useful that we didn't already know is a potential signal. If it matters and deserves a response, its potential is actualized. — Stephen Few

The story also pointed out that most big cities and towns have chambers of commerce and economic development offices, but what makes Itasca unique, participants say, is a commitment to hard data and McKinsey-style analysis, as well as a willingness to depart from the script that drives many private sector lobbies. — Thomas L. Friedman

All research in the cultural sciences in an age of specialization, once it is oriented towards a given subject matter through particular settings of problems and has established its methodological principles, will consider the analysis of the data as an end in itself. — Max Weber

I can only speak for particle physics. But it has become obvious that on the experimental side, there has been a huge evolution in the number of people who have to collaborate because of the gigantic size of the instruments used, but also because of the enormous task that is data analysis. — Peter Higgs

In a way, science might be described as paranoid thinking applied to Nature: we are looking for natural conspiracies, for connections among apparently disparate data. Our objective is to abstract patterns from Nature (right-hemisphere thinking), but many proposed patterns do not in fact correspond to the
data. Thus all proposed patterns must be subjected to the sieve of critical analysis (left-hemisphere thinking). — Carl Sagan

Hobbes's analysis of the causes of violence, borne out by modern data on crime and war, shows that violence is not a primitive, irrational urge, nor is it a "pathology" except in the metaphorical sense of a condition that everyone would like to eliminate. Instead, it is a near-inevitable outcome of the dynamics of self-interested, rational social organisms. — Steven Pinker

Lorenz was the charismatic, flamboyant thinker - he didn't conduct a single statistical analysis in his life - while Tinbergen did the nitty-gritty of actual data collection. — Frans De Waal

HubSpot has used the lean startup method to build a spectacularly successful company. What I particularly love about HubSpot is that they are so geeked out on data analysis and making evidence-based decisions, which are at the heart of the Lean Startup process. — Eric Ries

Investors look at economic fundamentals; traders look at each other; 'quants' look at the data. Dealing on the basis of historic price series was once described as technical analysis, or chartism (and there are chartists still). These savants identify visual patterns in charts of price data, often favouring them with arresting names such as 'head and shoulders' or 'double bottoms'. This is pseudo-scientific bunk, the financial equivalent of astrology. But more sophisticated quantitative methods have since proved profitable for some since the 1970s' creation of derivative markets and the related mathematics. Profitable — John Kay

We hope you enjoy using this text. We also hope that it helps you in reading the journal articles that make use of ANOVA techniques in their data analysis sections, and that it encourages you to explore the use of ANOVA designs in your own research applications. — Glenn C. Gamst

In a comprehensive analysis of data on more than half a million professors, the education experts John Hattie and Herbert Marsh found that "the relationship between teaching and research is zero. — Anonymous

Buyer Legends is a business process that uses storytelling techniques to map the critical paths a prospective buyer might follow on his journey to becoming a buyer.

This process aligns strategy to brand story to the buyer's actual experience on their customer journey.

These easy-to-tell stories reveal the opportunities and gaps in the customer's experience versus the current marketing & sales process.

These legends communicate the brand's story intent and critical touch point responsibilities within every level of an organization, from the boardroom to the stockroom.

Buyer Legends reconcile the creative process to data analysis; aligning metrics with previously hard-to-measure marketing, sales, and customer service processes. The first result is improved execution, communications, and testing. The second result is a big boost to the bottom line. — Bryan Eisenberg

The real point of the matter is that what we call a 'wrong datum' is one which is inconsistent with all other known data. It is our only criterion for right and wrong. — Isaac Asimov

The so-called co-efficient of heritability, which I regard as one of those unfortunate short-cuts, which have often emerged in biometry for lack of a more thorough analysis of the data. — Ronald Fisher

So it is with statistics; no amount of fancy analysis can make up for fundamentally flawed data. Hence the expression garbage in, garbage out. — Charles Wheelan

That so far the material has been dealt with in a rather subjective way provokes the question whether a means can be found of handling it objectively. [...] This chapter considers the applicability of the statistical tests employed by Wilson and the general problem whether the Linear B data are suited to statistical analysis. — Jennifer K. McArthur

When heuristics don't yield the results we expect, you'd think we would eventually realize that something's wrong. Even if we don't locate the biases, we should be able to see the discrepancy between what we wanted and what we got, right? Well, not necessarily. As it turns out, we have biases that support our biases! If we're partial to one option - perhaps because it's more memorable, or framed to minimize loss, or seemingly consistent with a promising pattern - we tend to search for information that will justify choosing that option. On the one hand, it's sensible to make choices that we can defend with data and a list of reasons. On the other hand, if we're not careful, we're likely to conduct an imbalanced analysis, falling prey to a cluster of errors collectively known as confirmation biases. — Sheena Iyengar

There's a strand of the data viz world that argues that everything could be a bar chart. That's possibly true but also possibly a world without joy. — Amanda Cox

My analyses and conclusions differ diametrically from those of the Southern Research Institute/National Cancer Institute report wherein it is concluded that amygdalin 'does not possess activity in the Lewis lung carcinoma system.'. My analysis of the data is that it is overwhelmingly positive. — Dean Burk

Suppose that the organism is given the problem of determining the analysis of a stimulus at a certain level of representation- e.g., the problem of determining which sequence of words a given utterance encodes. Since, in the general case, transducer outputs underdetermine perceptual analyses, we can think of the solution of such problems as involving processes of nondemonstrative inference. In particular, we can think of each input system as a computational mechanism which projects and confirms a certain class of hyputheses on the basis of a certain body of data. — Jerry Fodor

If we had enough data then this statistical approach would undoubtedly sort out these things, and a lot of problems are arising precisely because we haven't got enough documents for the statistical approach to be wholly valid. I know you can calculate levels of probability and so forth, but to establish this really clearly we want a lot more information than we have actually got available. This is surely our major problem that we are still at the very limits at which you can use a technique of this sort. - John Chadwick — Jennifer K. McArthur

The amount of data and analysis available for free is a true example of information explosion has leveled the playing field for individual investors. — Maria Bartiromo

The life of a visual communicator should be one of systematic and exciting intellectual chaos. — Alberto Cairo

You need to marry the qualitative with the quantitative. It better informs us so we can decide what to do. We can't be afraid of data and analysis. We have to use that lens. — Nathan Shedroff

Now she sat on a bench alongside Valerie West, the two of them pretending to be on their lunch. Val was a whiz with data analysis, but nervous in the field. Cooper was watching her shred her napkin, and weighing whether it was worth it to say something, when Luisa touched the other woman's knee, said something off-mic. Valerie nodded, shrugged her shoulders back, and tucked the napkin in her pocket. Good. Normally Cooper would have discouraged a romantic relationship between teammates, but the two often seemed better agents because of it. — Marcus Sakey

That type of analysis could include data from training staffs and coaching staffs, performance data, and medical data. — Benjamin C. Alamar

I'm a bit of a freak for evidence-based analysis. I strongly believe in data. — Gus O'Donnell

The falsification of scientific data or analysis is always a serious matter. — Ed Markey

Reducing intelligence to the statistical analysis of large data sets "can lead us," says Levesque, "to systems with very impressive performance that are nonetheless idiot-savants. — Nicholas Carr

No data are excluded on subjective or arbitrary grounds. No one piece of data is more highly valued than another. The consequences of this policy have to be accepted, even if they prove awkward. — Jennifer K. McArthur

The analysis of data will not by itself produce new ideas ... — Edward De Bono

An analysis of nutritional and metabolic data by Jon Pangborn, Ph.D., a well-known nutritional biochemist affiliated with the Great Smokies Diagnostic Laboratories in Asheville, North Carolina, found that the metabolism of methionine is the "most frequently impaired or disordered amino acid" among 1,500 individuals with food and chemical intolerances, degenerative diseases, neuromuscular dysfunction, and mental diseases. — Stanley W. Jacob

Incivility is a symptom, not the disease. We've always had partisan conflict in Congress, and we always will. Yet when I worked for a year (1970-71) on the staff of Sen. Ed Muskie of Maine, this was a different place, more collegial, more sensitive to data, more concerned about all of the American people. I think because the for-profit media prizes conflict above cooperation and sound bites above analysis, politicians have learned to adapt to those tendencies. Consequently, our public debates are dumbed down as our problems grow more complex. — Tom Allen

EMA research evidences strong and growing interest in leveraging log data across multiple infrastructure planning and operations management use cases. But to fully realize the potential complementary value of unstructured log data, it must be aligned and integrated with structured management data, and manual analysis must be replaced with automated approaches. By combining the RapidEngines capabilities with its existing solution, SevOne will be the first to truly integrate log data into an enterprise-class, carrier-grade performance management system. — Jim Frey

Advances in technology, which allow analyses of large quantities of data, are the foundation for the relatively new field known as crime analysis. — Deborah Osborne

Even revolution, particularly
revolution, which claims to be materialist, is only a limitless metaphysical crusade. But can totality claim
to be unity? That is the question which this book must answer. So far we can only say that the purpose of
this analysis is not to give, for the hundredth time, a description of the revolutionary phenomenon, nor
once more to examine the historic or economic causes of great revolutions. Its purpose is to discover in
certain revolutionary data the logical sequence, the explanations, and the invariable themes of
metaphysical rebellion. — Albert Camus

Digital analytics is the analysis of qualitative and quantitative data from your business and the competition to drive a continual improvement of the online experience that your customers and potential customers have which translates to your desired outcomes (both online and offline). — Anonymous