Finding an Accounting App to Suit Your Business

Finding an Accounting App to Suit Your Business

Cloud computing is the product of innovation in technology that has changed the working environment altogether. Gone are the days when one has to be physically present in the workplace. The application should have adapted to times and be providing this feature – otherwise, the advantages associated with it like collaboration with other co-workers, security and disaster recovery, among others cannot be reaped. This makes online accounting possible.

The app should be mobile friendly as well as operable in multiple operating systems. A business cannot be expected to be run in a single platform. Rather, with cloud computing, various devices can be used for administration purposes as well as for other purposes. Therefore, cross-platform compatibility is a must. The interface should be conducive for the operation of the application. This includes easy to use home page, a search bar and tabbed interface. In addition, customizable feature should be present so that the business can include its own theme in invoices.

Security of data generated on the course of business should be guaranteed by the application. Business should not be worried about the vulnerability of data – from natural calamities or cyber-crimes. Integration especially with banking system is a desirable feature because this way the transactions of business to the vendors and from the customers becomes quicker. Also, payment of the amount that has been calculated from the transaction can be made with a few clicks and the accuracy can be ascertained.

Acceptance of checks, credit cards, debit cards and PayPal as well as direct deposits from the customers will result in them being happy – the ultimate target of any business. This is another feature which is a must because every mode of payment feasible should be incorporated. Reports that are generated should be exportable in PDF format so that printing is made easy. The reports should also be able to be generated on demand of the menu and manual should be provided to the businesses so that normal problems can be solved by going through those menu and manual.

Continuous improvements and updates should be another feature so that latest threats are addressed as well as ensuring its compatibility matched with the latest available hardware. Pricing of the application should be charged on the basis of the features that have been used – the number of transactions, depending on the turnover of inventory, or the number of employees, payroll calculation purposes, as the maximum limit for example. This will make it affordable to small businesses.

Free trial assists in deciding whether the app meets the demand of the business. While some may need it for lotto inventory, other may need fuel inventory to be tracked. The user should be allowed to familiarize oneself before making sure whether or not to stick with it in the long-run.

Cash for Your Annuity Payments

Cash for Your Annuity Payments

Getting the cash to pay for your son’s college, or to pay for your new house is something you can’t simply ignore. While you can apply for a loan, often times the interest may not be very favorable for you and you end up paying more than the amount you borrowed. However, if you are a recipient of an annuity payment, selling a part or the whole of the payments may be enough to answer for your immediate financial needs. In fact, most annuity recipients sell annuity for this reason.

While it is true that you can find several annuity buyers that are interested in buying your annuity payments for lump sum of cash, not all will be willing to pay most cash for your annuities. So it is best that you carefully choose to whom you’ll sell your annuity. There a few steps you need to follow to sell annuity for most cash.

Do Research

The first step you need to do is to make at least a short research about your annuity payments. Does the agreement you signed allows you to sell annuity payments or transfer your rights to a third party? Does it require court order so you can sell your annuity? How much does your annuity cost? It is best that you also consult your lawyer, or your financial adviser when deciding whether it is favorable for you to sell your annuity or not.

Ask for Quotes

To help you find the best annuity payments buyer (the one who is willing to pay most cash for your payments) you need to have an idea how much will they pay for your annuity by asking for their quotes. You can either personally visit them at their office, or call their business line, or you can visit their online website. Either ways, you can secure the quotes you need to better decide on the matter.


Choosing the highest bid does not end the process. You also need to verify if they will be charging you with other fees in connection with the sale of your annuity. Some annuity buyers would usually offer huge amount of cash for it only to find out that they have to deduct from that amount the fees needed for the processing of the sale of your annuity. Compare the fees and the amount these annuity buyers offer you. Consulting your lawyer or financial adviser will be very helpful in this stage. Once you have cleared and compared everything only then you’ll finally sell annuity payments.

How Do Annuities Work

How Do Annuities Work

The term “annuity” basically refers to an arrangement that is made between two parties. One of these parties is generally an individual, who gives a sum of money, called the premium, in periodic payments or a lump sum, to the second party, which is often an insurance company. In return, the second party gives a steady stream of payment to the first party over a specified period of time that is stated in the arrangement.

Annuities consist of long term products and are a very straight forward approach to funding your future. However, before purchasing, it’s important for you to have a good understanding of what you’re buying.

There are two major kinds of annuity agreements. The first, called annuity certain, specifies the certain period for payment. For example, suppose you pay a certain amount of money to an insurance company for a twenty year annuity. You make an agreement whereby monthly payments are sent out along with a percentage growth, over the period of annuity. You will be a paid a specified amount of money, every month, till the arrangement comes to end.

The second type, called the life annuity, is most commonly employed by people who have retirement savings in mind. In this agreement, you pay a lump sum to the insurance company and they pay the money back to you at a specified amount every year for the rest of your life. Life annuities, when done in conjunction with a charity or a nonprofit organization, can offer extra tax benefits.

Among the many things you need to know about investing in an annuity is that it has mainly two types of balances that are running simultaneously. The first balance is your account value, also known as the contract value. This refers to the amount of money available to you at any given instance of time. It depends largely on the performance of the investments within the annuity that are also known as sub accounts.

The second one is the benefit base or the income base which is considered more as a hypothetical account. It is used to represent the amount of money that determines the annual guaranteed income one can draw from the annuity.

It is important to be aware of the differences between these two as sometimes you will come across variable annuities surrounding a guaranteed return that apply only to the income base and not to the actual account value. Income value is not the amount you can cash out. The only balance that you can withdraw when needed is your account value which may or may not be higher than your income base.

From time to time the insurance company will compare your account value with the income base. This, in most cases, is done on the anniversary date of the contract. If your account value turns out to be greater than your income base, then the insurance company will increase the benefit base such that it will be equal to the account value.

What Is A Secondary Market Annuity

What Is A Secondary Market Annuity

The term secondary market annuity or SMA in short refers to an in force, period certain payment stream. The term secondary market is used to differentiate these existing payment streams from primary market period certain annuities.

While there are payments in the marketplace that originate in lottery prizes and individually owned annuities. It’s important to clarify that most secondary market annuity transactions stem from structured settlement compensation. In example legal claims for personal injury or medical malpractice. It’s also important to note that these transactions have nothing to do with life settlements. Life settlements make bets on actuarial tables, but the secondary market annuities discussed here are period certain guaranteed receivables.

So, what are structured settlement annuities?

The majority of SMA’s in short are guaranteed payment streams backed by period certain annuities. These SMA’s are from major carriers that currently pay compensation for damages, injuries, or legal claims.

When an injured party elects to take their award as a structured settlement over time, U.S. tax code IRC 130 allows the plaintiff to receive their compensation free from income tax. By opting for a structured settlement over time rather than a lump sum, the plaintiff can receive both the award and the earnings of that award without tax liability.

Defendants typically use a qualified settlement fund or other vehicle to shift compensation for the injured party to a major carrier in a tax qualified manner. Defendants then generally purchase a life policy with period certain annuity to fund the specific payments due under the settlement. The qualified fund or an affiliated entity of the defendant is the annuity owner, and the plaintiff is the payee.

Structured settlements are a useful tool in the legal system that help provide for minors, help injured people support themselves if they are not able to work, and help reduce reliance on public support systems.

However, times change and often, payee’s under a settlement have a need for cash. As the payee’s are not the owners of the annuity, their payments are not convertible directly with the carriers into cash. Sellers of payments turn to factoring companies to purchase some or all of their future payments for cash today, and must accept a discount rate for those future payments.

Why the high yield?

When sellers sell at a discount, a secondary market annuity is created that offers the new recipient a higher-than-market rate of return. Buyers of secondary market annuities can receive yields 1 percent to 4 percent higher than comparable primary market, period certain annuities of similar credit quality.

Technical Analysis Futures Trading

Technical Analysis Futures Trading

Some people may wonder if technical analysis futures trading is the same regardless of the market that you are trading. Well, at first, the answer may seem like it is. After all, most technical analysis is predicated on data derived from a contract. However, there are at least a couple of differences between doing technical analysis on the futures market and any other market that may be considered.

Futures are traded in contracts which relate to a specific grade and amount of the item the futures contract represents. And, this is deliverable at some time in the future as determined by the month of the contract.

This is very different from trading a stock. We know that the stock of a company represents the equity of the company. But, we have no idea what it really represents other than the dollar value of the share.

Technical Analysis for Futures

That being said, does this mean that we can’t use the same type of technical analysis on futures as any other market? After all, so many technical analysis futures trading platforms deliver the same indicators as could be used for stocks or Forex. But, that would imply that there is something similar among the markets, right?

Well, fortunately there is one basic underlying premise to all of these markets (futures, stocks and Forex) that is similar. People come together for the sole reason of buying or selling something. And, the value of what is traded can be determined with absolute certainty at any time.

Since this is the case (and as a basis for our technical analysis futures trading decision), we can create a price chart based on the actions of the people participating in these markets at any point in time. So, the question may become, why would the actions of these traders be important enough for us to chart?

Well, if the underlying catalysts that causes these markets to move can be found in the actions of the people who participate in them, then we can begin to rationalize that is what these people do that will either cause the value of the item being traded to rise or fall. And, while we can’t really tell what these people are thinking, we can definitely tell what they are doing.

This is the cornerstone of technical analysis for me. One of the best ways to connect the psychology of the market to the fluctuations of the price chart, in my opinion, is a method called the Elliott Wave. I have studied this for years and would never trade without it.

While there isn’t any magic bullet in trading, implementing the Elliott Wave in my trading has allowed me to trade with the market trend rather than fight it. And, as result of this, I find that I am more able to manage my emotions in my trading.

The Logic Behind Technical Analysis

The Logic Behind Technical Analysis

Let me first say that I do not now engage in technical analysis; nor, have I ever engaged in technical analysis. I do not believe doing so would be a productive use of my time.

Having said that, I do not claim technical analysis has no predictive value. In fact, I suspect it does have some predictive value. The Efficient Market Hypothesis is flawed. It is based upon the (unwritten) premise that data determines market prices. As Graham so clearly put it in “Security Analysis”:

“…the influence of what we call analytical factors over the market price is both partial and indirect – partial, because it frequently competes with purely speculative factors which influence the price in the opposite direction; and indirect, because it acts through the intermediary of people’s sentiments and decisions. In other words, the market is not a weighing machine, on which the value of each issue is recorded by an exact and impersonal mechanism, in accordance with its specific qualities. Rather should we say that the market is a voting machine, whereon countless individuals register choices which are the product partly of reason and partly of emotion.”

I’ve seen a lot of people cite this quote, without bothering to notice what’s really being said. Graham had a very broad mind, much broader than say someone like Buffett. That’s both a blessing and a curse. At several points in Security Analysis (and to a lesser extent in his other works), Graham can not help but explore an interesting topic more deeply than is strictly necessary for his primary purpose. In this case, Graham could have said what many have since interpreted him as saying: in the short run, stock prices often get out of whack; in the long run, they are governed by the intrinsic value of the underlying business. Of course, Graham didn’t say that. Instead he chose to describe the stock market in a way that should have been of great interest to economists as well as investors.

Data affects prices indirectly. The market is a lot like a fun house mirror. The resulting reflection is caused in part by the original data, but that does not mean the reflection is an accurate representation of the original data. To take this metaphor a step further, the Efficient Market Hypothesis is based on the idea that the original image acts on the mirror to create the reflection. It does not recognize the unpleasant truth that one can interpret the same process in a very different way. One could say it is the mirror that acts on the original image to create the reflection. In fact, that is often how we interpret the process. We say an object is reflected in a mirror. We rarely use the active “an object reflects in a mirror”.

For some reason, when we talk about the market we like to use inappropriate metaphors. We talk about wealth being destroyed when prices fall. Yet, no one talks of wealth being destroyed when the price of some product falls. When the market rises, we talk about buyers, as if there wasn’t a seller on the other side of the trade. Above all else, we talk about “the market” not as a mere aggregation of trades, but as some sort of object all its own.

The Efficient Market Hypothesis does not recognize the true importance of interpretation. Saying that data (publicly available information) acts on market prices omits the key step. After all, the same data is available to every blackjack player. Casinos just don’t like the way a card counter interprets that data.

The Efficient Market Hypothesis is not the only argument against technical analysis. There is also empirical evidence that questions the utility of technical analysis. However, empirical evidence alone is not sufficient to prove technical analysis has no predictive power. If most knuckleball pitchers had limited success, the knuckleball might be an inherently ineffective pitch, or there might be a better way to throw it. The same is true of technical analysis.

The adjective “random” is a very strange word. Although it is rarely the definition given, the most appropriate definition for random would have to be “having no discernible pattern”. The word discernible can not be omitted. If it is, we will take too high a view of science and statistics. There’s a great introduction to economics written by Carl Menger which begins:

“All things are subject to the law of cause and effect. This great principle knows no exception, and we would search in vain in the realm of experience for an example to the contrary. Human progress has no tendency to cast it in doubt, but rather the effect of confirming it and of always further widening knowledge of the scope of its validity.”

All things are subject to the law of cause and effect; therefore, nothing is truly random. A caused event must have a pattern – though that pattern needn’t be discernible. Even if one argued there is such a thing as an uncaused event, who would argue that stock price movements are uncaused? We know that they are caused by buying and selling. Stock prices are the effects of purposeful human actions. Several sciences study the causes of purposeful human action; so, it would be hard to argue any human action is uncaused. Furthermore, each of our own internal mental experiences suggests that our purposeful actions have very definite causes. We also know that the actions of some market participants are based in part on price movements. Many investors will admit as much. They may be lying. But, there is plenty of evidence to suggest they aren’t.

If the actions of investors cause price movements, and past price movements are a partial cause of the actions of investors, then past price movements must partially cause future price movements.

Technical analysis is logically valid. Not only is it possible that some form of technical analysis might have predictive power; I would argue it necessarily follows from the above assumptions that some form of technical analysis must have predictive power.

So, why don’t I use technical analysis? I believe fundamental analysis is a far more powerful too. In fact, I believe fundamental analysis is so much more powerful that one ought not to spend any time on technical analysis that could instead be spent on fundamental analysis. I also believe there is more than enough fundamental analysis to keep an investor occupied; so, he shouldn’t devote any time to technical analysis. Personally, I feel I am much better suited to fundamental analysis than I am to technical analysis. Of course, there is no reason why this argument should hold any weight with you. I also believe there is sufficient empirical evidence to support the idea that fundamental analysis is a far more powerful tool than technical analysis.

Even though I believe there must be some form of technical analysis that does have predictive power, the mental model of investing which I have constructed does not allow for such a form of technical analysis. In other words: logically, there must be an effective form of technical analysis, but practically, I pretend there isn’t.

Why? Because I believe that’s the most useful model. One should adopt the most useful model not the most honest model. I’m willing to pretend technical analysis does not work, even though I know some form of it must work.

Really, this isn’t all that strange. In science, I’m willing to pretend there are random events, even though I know there must not be random events. In math, I’m willing to pretend zero is a number, even though I know it must not be a number. A model with random events is useful. In most circumstances, a refusal to allow for random events would be harmful rather than helpful. The model with random events is simpler and more workable. The situation is much the same with zero. It isn’t a number. To include zero as a number, you would have to put aside the principles of arithmetic. So, we don’t do that. In school, you were taught that zero is a number, but that there are certain things you must never do with zero. You accepted that, because it was a simple, workable model.

Analysis Plans – The Underdog of Market Research

Analysis Plans – The Underdog of Market Research

Often when I recommend that a research team prepare a formal analysis plan the first response I hear is, “Why? The analysis isn’t due for weeks and I have too many other things to do.”

An analysis plan is not extra work; it’s work that makes all the other project tasks flow efficiently. It will help you produce on-time project deliverables. Typically, you develop an analysis plan in parallel with your research instrument (RI) or questionnaire. Like the questionnaire the analysis plan is tied back to the goals and objectives of the study. In addition to the obvious purpose of an analysis plan, producing a plan serves to improve the RI and manage project scope, these benefits alone will pay you back for the time you devote to creating it.

The RI is referenced in an Analysis Plan (AP) and while there are no hard or fast rules and no one right way to structure an AP we can offer some guidelines. The approach described briefly here is as good as any and better than most for quantitative studies.

The first step in this process will be familiar to those of you who have read AtHeath publications from the Market Research Resource Center (MRRC). Specifically, research has the greatest chance of success when the objectives are clearly stated and that is where we begin. Use these five (5) straightforward steps.

1. State the key study objectives clearly at the beginning of the analysis plan (AP) and refer to them throughout the process.

2. Describe the major comparisons for the analysis (e.g., major cross tabulations for the study such as: Customers versus Non-customers, Companies by size, Customers that are Satisfied, Neutral, or Dissatisfied).

3. State how each question is used to answer a specific objective of the study either on its own or in combination with other data points. Think through how you expect to present the results from each question. What statistics, if any, will you use in the analysis? Identify the independent and dependent variables.

4. Write a clear justification for including the information from the question in the study and perform a section by section “So what” litmus test.

5. When the analysis plan is finished, go back and make sure each key study objective has been addressed.

These five steps are the basic approach to the AP template (see it is straightforward). The key is to focus on objectives and think critically about how to execute on the primary goal of the study.

Next, let’s dive a little deeper inside the Analysis Plan. Two of the five steps of an Analysis Plan (i.e., steps three and four) are repeated for each section of the questionnaire. Combined, these two steps provide the question-by-question detail of your analysis plan. First, each section of the questionnaire is described in a brief outline format. Next, the analysis requirements are described for all questions in the section. Finally, a ‘justification’ is written for why the questions in this specific section of the questionnaire are needed. This is the “So what” litmus test. The example below may help to demonstrate how steps three and four are implemented.

Example Analysis Plan Steps 3 and 4
Section Q of the Questionnaire:

Topic – Accessibility of information and mechanisms to access information (e.g., data):
a. Website features and functions customer depend on and/or like best
b. Perceptions and preferences for push versus pull tactics for receiving information from host firm

Q10, Q11, and Q12 – All focus on the website features and functions customers and prospects value most and the vendors that do the best job of implementing these features and functions. Conduct a feature/function prioritization analysis – multiple response analysis. To optimize the data, recode open-ended questions (Q12) and conduct analysis to classify the best websites.

Q13-16 – For these questions explore the general frequency of website use and specifically respondents’ use websites to make purchases. These are primarily descriptive analyses with comparison by the major cross tab groups already outlined. In addition, we are likely to use these data in a segmentation analysis, which we will describe later.

Q20-40 – Capture data on “touch” issues e.g., pushing information to clients, how frequently and in what ways. Basic descriptive analysis [possible segmentation variable] and cross tabs with significance testing will be applied.

Justification – The first part of this section provides us with competitive information, but more importantly points us to specific implementations that are considered “best in class” by clients and prospects – a very powerful tool for prioritizing and implementing features on our current website and any redesign work we decide to undertake.

The second part gives us general frequency of website use and purchasing, which is nice to know info, but may not be as actionable as other data. It tells us the relative importance of the website across our customers (by type perhaps) and if we build-in ecommerce functionality, how much it might be used. However, I doubt we would decide to provide or not provide ecommerce functionality based on the study results (optional information).

The touch information is highly actionable and can help guide our efforts and inform decisions on the level of investment to make in these activities. End Section Q.

As you can see from the example a thoughtful description of the analysis work and the value of the results, along with the justification provides a roadmap. Time well spent

For a more detailed description of how to develop an Analysis Plan see Analysis Plans Made Easier, an AtHeath publication.

You can also contact Carey for more information. He is an executive level research professional and brings over 20 years of experience to the research community. He holds two advanced degrees in market research related disciplines. Principal and Founder of AtHeath, LLC Mr. Azzara is a consultant, author and a highly respected researcher. Two of the most important features of AtHeath are its Market Research Resource Center (MRRC) and the Expert Community that supports the MRRC.

The company name “AtHeath or At-the-Heath” is the point at which forest and grassland meet – a metaphorical point of transformation or transition. Our blog “The Research Playbook” may also be of interest

Why Not Take A Free Website Analysis?

Why Not Take A Free Website Analysis?

A few years ago, as a successful online presence or business was not possible without Search Engine Optimization; today, target oriented Search Engine Optimization is not possible without proper website analysis. In order to cater to this new demand of the market, many of the SEO companies offer free website analysis to attract more customer satisfaction as possible. When looked at from SEO point of view, Free Website Analysis has two fold benefits for both of the parties; customer gets an idea of the services offered by the company and the SEO team has a far more clear and workable SEO plan.

There are two main parts of the free website analysis services:

1. Free SEO Analysis
2. Free Web Design Analysis

Free SEO analysis of the web helps track the trouble in the existing SEO pattern applied. It also enables to discard things that are no longer useful. During free SEO analysis, keyword density, keyword type, keyword location, link type, link location and availability are checked. Since both of these are dynamic entities that keep on changing over time, they need regular replacement and check. One approach is worth mentioning here. Some people undermine Free SEO analysis services provided by the SEO companies. They suspect the results they reach. But, they forget that nobody would like to risk his first impression and not to reduce the burden of the SEO geniuses. However, a free website analysis is incomplete without the free web design analysis.

The appearance of the web; your online business office, is the foremost thing that attracts or loses the attention of the customer. Web design has also very far reaching impact on the user experience which in turn affects the customer conversion rate directly, leading to drastic consequences. Free web design analysis enable analysts to point out the designing blunders and suggesting better alternatives. Free website analysis includes the expert analysis of your web’s layout, the page loading time and issues, processing time of user request and queries and accessibility of the visitor to the information most relevant or demanded by him. As a consequence of free web design analysis, web analysts may recommend a complete re-design of the web and change in the server side technology and approaches.

All of the above observations are given a shape of a report. The results and suggestions are not merely observatory or based on assumptions; rather, they analysts use complicated quantitative approaches to reach them. So, it almost impossible to challenge a web analysis report for quality and reliability.

Free website analysis helps both the SEO companies and the customers. A complete web analysis includes free SEO analysis and free Web Design Analysis. Free SEO Analysis focuses the SEO strategy, indicates the loop holes and suggests remedies. Web design analysis focuses the user experience and the reasons of low customer to conversion rate. All of the observations and results take the form of the website analysis report, suggesting accurate and effective SEO strategy.

Top 10 Ways to Guarantee a Precise Color Analy

Top 10 Ways to Guarantee a Precise Color Analysis

From online color tests to cosmetic color consultations to in-studio color analysis with a certified analyst, options for color analysis abound. Guaranteeing that colors are done properly, though, is an entirely different matter. The accuracy of a color analysis is determined by the tools and surroundings used, as well as the analyst’s skillful eye.

Personal color analysis is based on a concept called simultaneous contrast. This means that when two or more colors are seen simultaneously, each is directly affected, and indeed altered, by the color or colors next to them. In color analysis, various color coded drapes are placed around the face and neck. The colors surrounding a person will produce a color effect, either positive or negative, and those observations are used to place him or her into a certain category of ideal colors. This is precisely why it is imperative to conduct an accurate color analysis in person, as opposed to online.

When deciding who will perform the color analysis, here are the top 10 ways to guarantee the most accurate and complete results:

1) Natural sunlight or full spectrum artificial lighting must be used. Special light bulbs are available for this purpose, and the accuracy of the analysis depends on the use of this lighting. Natural daylight or its equivalent is always best because it holds a balanced blend of all colors in the visible spectrum, and thus enables the analyst to observe the optical effects of colors next to the face. Any other lighting drastically alters the appearance of skin tone and the testing drapes, which in turn creates inaccurate results.

2) The walls and surroundings must be a neutral grey, one that will not detract from or compete with the test drapes used in the analysis. Color is seen most accurately when surrounded by neutral grey.

3) Both hair and clothing must be covered using a neutral grey cap and gown. The color analyst should wear a neutral grey cape, as well, to avoid visually competing with any of the test drapes used during the analysis.

4) The test drapes themselves should be selected by a company that scientifically measures color using an accurate standard, such as the Munsell system. The Munsell system, widely recognized as the worldwide standard for color, measures color in a complete, three-dimensional way. The results of a color analysis are only as accurate as the test materials themselves.

5) The color analysis system used must account for the possibility of neutral skin tones. As is the case with other sciences, the field of color analysis has evolved. Popularized during the 1980s, color analysis originally offered four categories, two for warm undertones and two for cool undertones. While this method served us well for what we knew at the time, it is now understood that up to two-thirds of people fall into a neutral color category that is neither fully cool nor fully warm. A modern analysis builds upon what was done in the 1980s, and creates even more precise and complete results.

6) No makeup should be worn during an analysis. Makeup both improves and alters the look of the skin, which makes it difficult to see any optical changes that take place during an analysis. For accuracy’s sake, it is vital to see how a colored drape affects, be it positively or negatively, the look of the skin. The right color creates a visual face lift, and imparts a look of vitality, youth and brightness to the skin. The wrong color visually emphasizes fine lines, wrinkles, and imperfections, yellows eyes and teeth, drags down the face, and makes the skin appear unhealthy. These effects cannot be seen in their fullness if makeup is worn.

7) No facial tanners should be used for at least one week prior to the consultation. Some facial tanners will shift the skin tone too drastically and render an analysis ineffective. Likewise, no colored or tinted contact lenses should be used, as they prohibit the analyst from observing the optical effects on one’s natural eye color.

8) Consider how many choices are included in a personal color palette. The palette should have at least 60 colors that all mix and match seamlessly. This provides a breadth of color to work with and facilitates easy wardrobe planning.

9) A personal book of color should be provided as part of the consultation. Ideally, the book should be printed on special canvas that can be compared accurately against any fabric or cosmetic colors. Some books of color contain fabric squares, which are extremely difficult to match against other clothing fabrics seen in stores. Matching fabric to fabric is complex, even for master colorists, because fabric has a sheen that changes appearance as light reflects off of it. The most accurate personal books of color, when printed on archival canvas, are not only guaranteed to last a lifetime and will not fade, but they serve as a constant against which various fabrics can be compared.

10) The analyst chosen should be fully trained in the field of color analysis. Ideally, he or she should have been trained in person by a company that specializes in the field of color. There is simply no substitution for receiving hands-on training, despite the many online training programs available today. The art and science of color analysis take practice to understand and time to perfect.

Not all color analysis is created equally, so research options well before making the final choice. The more accurate the results are, the more slenderized, rejuvenated, polished and put together one will appear. Why go for looking okay when one can look fabulous? After all, the analysis will determine if and how to color treat hair, as well as what makeup, clothing and accessories to choose.

Conducting Survey Analysis

Conducting Survey Analysis

Questionnaire and sampling design in a survey research are not independent of other modules in the process like data analysis. While a survey research executive is designing research plan and questionnaire, she needs to keep in mind the type of analysis to run afterwards so as to attain the research objective. Same applies to types of conclusions to be drawn from the survey research study. The research, sampling plans and questionnaire design are totally dependent on this. If one fails to do this, you risk collecting an inappropriate form of data for your analyses, or neglecting important contextual questions. Data analysis in a survey research can be categorized into two – qualitative and quantitative analyses.

Quantitative and qualitative analysis

The more frequently deployed technique of data analysis happens to be quantitative data analysis. As the name suggests it is more about number crunching. The quantitative data analysis tries to throw light on more of ‘macro’ issues. It is often expressed in numbers. For example:

a. Almost 70% of the target population elements have expressed positive opinion towards alternate fuels

b. More than 40% the target population elements have shown interest in the new flavor of ice cream

These examples clearly illustrate the prevalence of quantitative data analysis. The terms sampling, statistical treatment, mathematical expressions, etc are the natural derivatives of quantitative data analysis. Quantitative data analysis can be enjoyed most through the difficult route of statistics application.
Quantitative data analysis is used in most of the studies except obviously for qualitative studies like focus groups or clinics. In short, any numbers are seen, make a note than it is quantitative data analysis.

Qualitative data analysis, on the other hand, is all about finding and reporting insights into a subject matter. Qualitative data analysis doesn’t at all deal with any of the statistical treatments or mathematical inference. These examples will illustrate the difference:

a. Three persons have expressed their fear about easy availability of alternate fuel

b. One person has reported too sweet taste of the new flavor ice cream

The examples (taken from live studies) in quantitative and qualitative data analyses clearly show the difference between the two. Quantitative data analysis is about correct application of a statistical or mathematical tool while qualitative data analysis is correctly picking up a stray voice and visualize its impact on the whole analysis. For example, only one person has reported sweet taste of ice cream. Now, is it true for all or only for one person? This must be validated through another set of analysis or study.

The problem with qualitative analysis is that the analytical tools are limited. The main tool is “content analysis”, which involves reading the full text and recoding it according to a number of categories determined by the researcher. This more than often proves to be time-consuming and subjective.