Healthcare Marketing Series - Data Mining - The 21st Century Marketing Gold Rush

There is gold in them there hills! Well there is gold right within a few blocks of your office. Mining for patients, not unlike mining for gold or drilling for oil requires either great luck or great research.

It's all about the odds.

It's true that like old Jed from the Beverly Hillbillies, you might just take a shot and strike oil. But more likely you might drill a dry hole or dig a mine and find dirt not diamonds. Without research you might be a mere 2 feet from pay dirt, but drilling or mining in just the wrong spot.

Now oil companies and gold mining companies spend millions, if not, billions of dollars studying where and how to effectively find the "mother load". If market research is good enough for the big boys, it should be good enough for the healthcare provider. Remember as a health care professional you probably don't have the extras millions laying around to squander on trial and error marketing.

If you did there would be little need for you to market to find new patients to help.

In previous articles in the Health Care Marketing Series we talked about developing a marketing strategy, using metrics to measure the performance of your marketing execution, developing effective marketing warheads based on your marketing strategy, evaluating the most efficient ways to deliver those warheads, your marketing missile systems, and tying several marketing methods together into a marketing MIRV.

If you have been following along with our articles and starting to integrate the concepts detailed in them, by now you should have an excellent marketing infrastructure. Ready to launch laser guided marketing missiles tipped with nuclear marketing MIRVs. The better you have done your research, the more detailed your marketing strategy, the more effective and efficient your delivery systems, the bigger bang you'll receive from your marketing campaign. And ultimately the more lives you will help to change of patients that truly can benefit from your skills and talents as a doctor.

Sounds like you're ready for healthcare marketing shock and awe.

Everything is ready to launch, this is great, press the button and fire away!

Ah, but wait just a minute, General. What is the target? Where are they? What are the aiming coordinates?

The target? Why of course all those sick people out there.

Where are they? Well of course, out there!

The coordinates? Man just press the button, carpet bomb man. Carpet bomb!

This scenario is designed to show you how quickly the wheels can come off even the best intended marketing war machine. It brings us back full circle. We are right back to our original article on marketing strategy.

But this time we are going to introduce the concept of data mining. If you remember, our article on marketing strategy talked about doing research. We talked about research as the true cornerstone of all marketing efforts.

What is the target, General?

Answering this question is a little difficult and the truth is each healthcare provider needs to determine his or her high value target. And more importantly needs to know how to determine his or her high value targets.

Let's go back to our launch scenario to illustrate this point. Let's continue with our military analogy. Let's say we have several aircraft carriers, a few destroyers and a fleet of rowboats, making up our marketing battlefield.

As we have discussed previously, waging a marketing war, like any war, consumes resources. So do we want to launch our nuclear marketing MIRVs, the most valuable resources in our arsenal, and target the fleet of rowboats?

Or would it be wiser to target those aircraft carriers?

Well the obvious answer is "get those carriers".

But here is where things get a little tricky. One man's aircraft carrier is another man's rowboat.

You have to data mine your practice to determine which targets are high value targets.

What goes into that data mining process? Well first and foremost, what conditions do you 1.like to treat, 2. have a proven track record of treating and 3. obtain a reasonable reimbursement for treating.

In my own practice, I typically do not like or enjoy treating shoulder problems. I don't know if I don't like treating shoulders because I haven't had great results with them or if I haven't had great results, because I don't like treating them. Needless to say my reimbursement for treating shoulder cases is relatively low.

So do I really want to carpet bomb my marketing terrain and come up with 10 new cases of rotator cuff tears? These cases, for more than one reason, are my rowboats.

On the contrary, I like to treat neurological conditions like chronic pain; Neuropathy patients, Spinal Stenosis patients, Tinnitus patients, patients with Parkinson's Disease and Multiple Sclerosis patients. I've had results with these types of cases that have been good enough to publish. Because they are complex and difficult cases, I obtain a better than average reimbursement for my efforts. These cases are my aircraft carriers. If my marketing campaign brings me ten cases with these types of problems, chances are that the patient will obtain some great relief, I will find working with them an intellectual and stimulating challenge and my marketing efforts will bring me a handsome return on investment.

So the first lesson of data mining is to identify your aircraft carriers. They must be "your" aircraft carriers. You must have a good personal track record of helping these types of patients. You should enjoy treating these types of cases. And you should be rewarded for your time and expertise.

That's the first step in the process. Identifying your high value targets. The next step is THE most important aspect of healthcare marketing. As I discussed above, I enjoy working with complex neurological cases. But how many of these types of patients exist in my marketing terrain and are they looking for the type of help I can offer?

Being able to accurately answer these important questions is the single most valuable information I can extract using data mining.

It doesn't matter if I like treating these cases. It doesn't matter if I make a good living treating these cases. It doesn't matter if my success in treating these cases has made the local news. What matters is 1. do these types of cases exist in my neighborhood and 2. are they looking for the help I can provide to them?

You absolutely positively need to know who is looking for what in your marketing terrain and if what people are clamoring for is what you have to offer.

This knowledge is the most powerful tool in your marketing arsenal. It's your secret weapon. It is the foundation of your marketing strategy. It is so important that you should consider moving your office if the results of your data mining don't reveal an ocean full of aircraft carriers in your marketing terrain for you to target.

If your market research does not reveal an abundance of aircraft carriers on your horizon, you need to either 1. move to a new battlefield, 2. re-target your efforts towards the destroyers in your market or 3. try to create a market.

Let's look at your last choice. Trying to create a market. Unless you are Coke or Pepsi, your ability to create a market as a health care provider is extremely limited. To continue on with our analogy, to create a market requires converting rowboats into, at least, destroyers, but better yet aircraft carriers.

What would it cost if you took a rowboat to a ship yard and told them to rebuild it as an aircraft carrier?

This is what you face if you try to create a market where none exists. Unless you have a personality flaw and thrive on selling ice to Eskimos, creating a market is not a rewarding proposition.

So scratch this option off the table right now.

What about re-targeting your campaign towards destroyers? That's a viable option. It's a good option. It's probably your best option. It's an option that will likely give you your best return on investment. It is recommended that you focus your arsenal on the destroyers while at the same time never passing on an opportunity to sink an aircraft carrier.

So what is the secret? How do you data mine for aircraft carriers?

Well its quite simple in the internet age. Just use the services of a market research firm. I like http://www.marketresearch.com They will do the data mining for you.

They can provide market intelligence that will tell you not only what the health care aircraft carriers are, but also where they are.

With this information, you will have a competitive advantage in your marketing battlefield. You can segment, and target high value targets in your area while your competitors squander their marketing resources on rowboats. Or even worse carpet bomb and hit ocean water, not valuable targets.

Your marketing strategy should be highly targeted. Your marketing resources should be well spent. As we discussed in our very first article on true "Marketing Strategy" you should enter the battle against your competition already knowing your have won.

What gives you this dominant position in the market, is knowing ahead-of-time, who is looking for what in your marketing terrain. In other words, not trying to create a market, but rather identifying existing market niches, specifically targeting them with laser guided precision and having headlines and ad copy based on your strength versus the weakness of your competition within that niche.

This research-based marketing strategy is sure to cause a big bang with potential patients.

And leave your competition trying to sell ice to Eskimos.

I hope you see how important market research is and why it is a good thing to spend some of your marketing budget on research before you waste your marketing resources on poorly targeted low value or no-value targets. This article was intended to give you a glimpse at how to use data mining and consumer demographics information as a foundation for the development of a scientific research-based marketing strategy. This article shows you how to use existing resources to give your marketing efforts (and you) a competitive advantage.


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Using Charts For Effective Data Mining

The modern world is one where data is gathered voraciously. Modern computers with all their advanced hardware and software are bringing all of this data to our fingertips. In fact one survey says that the amount of data gathered is doubled every year. That is quite some data to understand and analyze. And this means a lot of time, effort and money. That is where advancements in the field of Data Mining have proven to be so useful.

Data mining is basically a process of identifying underlying patters and relationships among sets of data that are not apparent at first glance. It is a method by which large and unorganized amounts of data are analyzed to find underlying connections which might give the analyzer useful insight into the data being analyzed.

It's uses are varied. In marketing it can be used to reach a product to a particular customer. For example, suppose a supermarket while mining through their records notices customers preferring to buy a particular brand of a particular product. The supermarket can then promote that product even further by giving discounts, promotional offers etc. related to that product. A medical researcher analyzing D.N.A strands can and will have to use data mining to find relationships existing among the strands. Apart from bio-informatics, data mining has found applications in several other fields like genetics, pure medicine, engineering, even education.

The Internet is also a domain where mining is used extensively. The world wide web is a minefield of information. This information needs to be sorted, grouped and analyzed. Data Mining is used extensively here. For example one of the most important aspects of the net is search. Everyday several million people search for information over the world wide web. If each search query is to be stored then extensively large amounts of data will be generated. Mining can then be used to analyze all of this data and help return better and more direct search results which lead to better usability of the Internet.

Data mining requires advanced techniques to implement. Statistical models, mathematical algorithms or the more modern machine learning methods may be used to sift through tons and tons of data in order to make sense of it all.

Foremost among these is the method of charting. Here data is plotted in the form of charts and graphs. Data visualization, as it is often referred to is a tried and tested technique of data mining. If visually depicted, data easily reveals relationships that would otherwise be hidden. Bar charts, pie charts, line charts, scatter plots, bubble charts etc. provide simple, easy techniques for data mining.

Thus a clear simple truth emerges. In today's world of heavy load data, mining it is necessary. And charts and graphs are one of the surest methods of doing this. And if current trends are anything to go by the importance of data mining cannot be undermined in any way in the near future.


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Outsourcing Data Entry to a Virtual Assistant

Data entry can be one of the most tedious and time consuming jobs of a business. One of the only jobs that is more annoying and time consuming is finding someone willing to do data entry for you. Where do you look for people to do this kind of work? First let's look at the different types of data entry. Not every business has the same type of data entry needed, but a database is always an essential for lifetime clients.

Mailing lists
People with a big contact list need that turned into a database that can be used to send widespread emails. This is usually done with an excel spreadsheet, but there are other forms that can be used for making such a list. It depends on the size of the business and the contacts it receives, but the average time it takes to fill something like this out on a month's worth of contacts is between four and eight hours. That's not a lot, but there is a multitude of things you would rather be doing than inputting names into a list.

System and business management
Bookkeeping is always professionally done by the business owner and its managers. But during tax season this seemingly simple tasks start to look like a mountain of paperwork that they just don't have time to do while they still have a business to run. There is a difference between a C.P. A. certified tax preparer, and someone who organized your lists of employees. List preps simply put your life on auto stream and keep your papers running smoothly. What is the best part? People such as this can work year-round doing the bookkeeping that you're too busy to do.

Lifetime clients
The people you meet are not likely to leave your mind quickly. The time it takes to build the relationship, create partners, and move forward in business is something well earned. In return for their efforts, you would like to let them know what your next big plan is, and how they can be a part of it. You want to streamline the process so you can focus on your work. How does this work? Well, you hire someone to input their emails, names, and phone numbers into a list, and take it from there. This is simple, and you can continue to use and add to the list as you go along. There is no way to justify not doing this.

Growing businesses need more automated systems now than ever before. Outsourcing work has been the newest and best solution for the last five years. Why stop now? Keeping things cost efficient is the goal, so use your knowledge and research skills to see what the best option for you is. Keep in mind what is and isn't a good idea to outsource.


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What is Data Entry - Which Data Entry Services Are Popular?

Today, data entry business is the fastest growing businesses in the world whether we think so or not but it is fact. This data online entry is dynamic and is in regular changes.

Data form entries can be described as numeric, alpha numeric, text and form entry. Data entries services are very useful in business firms and organizations as there is a huge demand of entry.

Therefore, the outsourcing form entry business is flexible and is require detailed information and accuracy of ease of access. If you will outsource data entry requirements it helps to improve information management system whether you are running a small business or large business company because information is vital asset in this industry.

You can release from the difficulty of all your information processing requirements because of high quality, cost effective services provided by data entry companies which also helps you to focus on other business development processes which are also important.

Specially trained and skilled excel, word entry professional from offshore countries provide you excellent services with significant suggestions. There are several advantages of information entry outsourcing some majors are:

o Lowest Possible Data-Entry Cost
o Accurate and Fast delivery
o Access of specialized service
o Increased client satisfaction
o Savings manpower and training costs
o Focusing energy and workforce on your core business

Some of the most important services provided by outsourcing companies are described below:

Catalogs Entries
Directories Entries
Numeric Information
Textual Information
Data Capture and Data Collection
Image Information
Online Form Information
OCR/ICR Processing

By outsourcing data-entry services you can enjoy the convenience and security of work done by data entries companies. DataEntryOutsourcing is provide complete data online entry services and you can get more information about our data online entry company so visit our website.


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Benefit of Outsourcing Data Entry Work

In the era of globalization whole world consider as single market place and competition is now growing tremendously for business. Every one looking for reduces the overhead for business. Outsourcing is best option for this. Outsourcing data entry work is most popular among all outsourcing work. Many companies are already outsourcing their work for saving cost and reducing their overhead. The professional data- entry services help not only data feeding process, but also, in managing the data for the upfront requirements.

Data entry covers almost every type of business and this is very basic need for each business. This services covers data conversion, online and offline data-entry, document and image processing, image entry, insurance claim entry and many more. This outsourcing gives spectacular gains for business also gives plenty of advantages to outsource company and client as well.

Major Benefits of outsourcing Data Entry Work

Consistent Data Source - data entry outsourcing companies give you consist and accurate data which can be easily used for the benefits of the organizational needs. This in turn ensures efficiency in workflow and there is no wastage of time.

Low Costing and Maximum ROI - outsourcing data-entry services give you perfect solution for saving your extra cost. In this way, the companies can reduce the extra expenditure on resources and increase the competence and efficiency. As the result of which, splendid gains are the obvious outcome.

High Quality Work - Main benefit of is to get high quality work as per your requirements. Companies like 3 alpha data entry services having years of experience for this and team of expertise those who give high quality work.

All In one service - when you outsource your work many companies also give related other services like, image scanning, image editing, OCR scanning, PDF to DOC conversion, data processing, SGML/HTML coding, data security and much more.

Well-organized Data Management - you can manage your all data with efficient manner and accurately.

This outsourcing will definitely help you to focus on your core business operations and thus improve your overall productivity. So data entry outsourcing is become wise choice for business.



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Data Mining and Financial Data Analysis

Most marketers understand the value of collecting financial data, but also realize the challenges of leveraging this knowledge to create intelligent, proactive pathways back to the customer. Data mining - technologies and techniques for recognizing and tracking patterns within data - helps businesses sift through layers of seemingly unrelated data for meaningful relationships, where they can anticipate, rather than simply react to, customer needs as well as financial need. In this accessible introduction, we provides a business and technological overview of data mining and outlines how, along with sound business processes and complementary technologies, data mining can reinforce and redefine for financial analysis.

Objective:

1. The main objective of mining techniques is to discuss how customized data mining tools should be developed for financial data analysis.

2. Usage pattern, in terms of the purpose can be categories as per the need for financial analysis.

3. Develop a tool for financial analysis through data mining techniques.

Data mining:

Data mining is the procedure for extracting or mining knowledge for the large quantity of data or we can say data mining is "knowledge mining for data" or also we can say Knowledge Discovery in Database (KDD). Means data mining is : data collection , database creation, data management, data analysis and understanding.

There are some steps in the process of knowledge discovery in database, such as

1. Data cleaning. (To remove nose and inconsistent data)

2. Data integration. (Where multiple data source may be combined.)

3. Data selection. (Where data relevant to the analysis task are retrieved from the database.)

4. Data transformation. (Where data are transformed or consolidated into forms appropriate for mining by performing summary or aggregation operations, for instance)

5. Data mining. (An essential process where intelligent methods are applied in order to extract data patterns.)

6. Pattern evaluation. (To identify the truly interesting patterns representing knowledge based on some interesting measures.)

7. Knowledge presentation.(Where visualization and knowledge representation techniques are used to present the mined knowledge to the user.)

Data Warehouse:

A data warehouse is a repository of information collected from multiple sources, stored under a unified schema and which usually resides at a single site.

Text:

Most of the banks and financial institutions offer a wide verity of banking services such as checking, savings, business and individual customer transactions, credit and investment services like mutual funds etc. Some also offer insurance services and stock investment services.

There are different types of analysis available, but in this case we want to give one analysis known as "Evolution Analysis".

Data evolution analysis is used for the object whose behavior changes over time. Although this may include characterization, discrimination, association, classification, or clustering of time related data, means we can say this evolution analysis is done through the time series data analysis, sequence or periodicity pattern matching and similarity based data analysis.

Data collect from banking and financial sectors are often relatively complete, reliable and high quality, which gives the facility for analysis and data mining. Here we discuss few cases such as,

Eg, 1. Suppose we have stock market data of the last few years available. And we would like to invest in shares of best companies. A data mining study of stock exchange data may identify stock evolution regularities for overall stocks and for the stocks of particular companies. Such regularities may help predict future trends in stock market prices, contributing our decision making regarding stock investments.

Eg, 2. One may like to view the debt and revenue change by month, by region and by other factors along with minimum, maximum, total, average, and other statistical information. Data ware houses, give the facility for comparative analysis and outlier analysis all are play important roles in financial data analysis and mining.

Eg, 3. Loan payment prediction and customer credit analysis are critical to the business of the bank. There are many factors can strongly influence loan payment performance and customer credit rating. Data mining may help identify important factors and eliminate irrelevant one.

Factors related to the risk of loan payments like term of the loan, debt ratio, payment to income ratio, credit history and many more. The banks than decide whose profile shows relatively low risks according to the critical factor analysis.

We can perform the task faster and create a more sophisticated presentation with financial analysis software. These products condense complex data analyses into easy-to-understand graphic presentations. And there's a bonus: Such software can vault our practice to a more advanced business consulting level and help we attract new clients.

To help us find a program that best fits our needs-and our budget-we examined some of the leading packages that represent, by vendors' estimates, more than 90% of the market. Although all the packages are marketed as financial analysis software, they don't all perform every function needed for full-spectrum analyses. It should allow us to provide a unique service to clients.

The Products:

ACCPAC CFO (Comprehensive Financial Optimizer) is designed for small and medium-size enterprises and can help make business-planning decisions by modeling the impact of various options. This is accomplished by demonstrating the what-if outcomes of small changes. A roll forward feature prepares budgets or forecast reports in minutes. The program also generates a financial scorecard of key financial information and indicators.

Customized Financial Analysis by BizBench provides financial benchmarking to determine how a company compares to others in its industry by using the Risk Management Association (RMA) database. It also highlights key ratios that need improvement and year-to-year trend analysis. A unique function, Back Calculation, calculates the profit targets or the appropriate asset base to support existing sales and profitability. Its DuPont Model Analysis demonstrates how each ratio affects return on equity.

Financial Analysis CS reviews and compares a client's financial position with business peers or industry standards. It also can compare multiple locations of a single business to determine which are most profitable. Users who subscribe to the RMA option can integrate with Financial Analysis CS, which then lets them provide aggregated financial indicators of peers or industry standards, showing clients how their businesses compare.

iLumen regularly collects a client's financial information to provide ongoing analysis. It also provides benchmarking information, comparing the client's financial performance with industry peers. The system is Web-based and can monitor a client's performance on a monthly, quarterly and annual basis. The network can upload a trial balance file directly from any accounting software program and provide charts, graphs and ratios that demonstrate a company's performance for the period. Analysis tools are viewed through customized dashboards.

PlanGuru by New Horizon Technologies can generate client-ready integrated balance sheets, income statements and cash-flow statements. The program includes tools for analyzing data, making projections, forecasting and budgeting. It also supports multiple resulting scenarios. The system can calculate up to 21 financial ratios as well as the breakeven point. PlanGuru uses a spreadsheet-style interface and wizards that guide users through data entry. It can import from Excel, QuickBooks, Peachtree and plain text files. It comes in professional and consultant editions. An add-on, called the Business Analyzer, calculates benchmarks.

ProfitCents by Sageworks is Web-based, so it requires no software or updates. It integrates with QuickBooks, CCH, Caseware, Creative Solutions and Best Software applications. It also provides a wide variety of businesses analyses for nonprofits and sole proprietorships. The company offers free consulting, training and customer support. It's also available in Spanish.

ProfitSystem fx Profit Driver by CCH Tax and Accounting provides a wide range of financial diagnostics and analytics. It provides data in spreadsheet form and can calculate benchmarking against industry standards. The program can track up to 40 periods.


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Data Mining, Visual Analytics, and The Human Component!

With all the massive amounts of data we are collecting from the Internet, well, it is just amazing the things we can do with it all. Of course, those concerned about privacy, well, you can understand why organizations like the Electronic Freedom Foundation is often fit to be tied. Still, think of all the good that can become of all this data? Let me explain.

You see, with the right use of visual analytics and various data mining strategies, we will be able to do nearly anything we need too. And, yes, I guess it goes without saying that I have a ton of thoughts on Visual Analytics of the Internet, Mobile Ad Hoc networking, and Social Networks along with some concepts for DARPAs plan for "crowd sourcing" innovation, it makes perfect sense to me, as each participant becomes basically a "neuron" and we use the natural neural network scheme.

What we need is a revolution in data mining visual analytics, so the other day I spent 20-minutes considering this and here are my thoughts. I propose an entirely new concept herein. Okay so let me explain my concept. But first let me briefly describe the bits and pieces of ideas and concepts I borrowed from to come up with this;

    There is an only UFO or Sci Fi tale I read, where the alien race said; "There is a whole new world waiting for you if you dare to take it,"
    Taking the "it" part of that line and calling "it" = "IT" as in Information Technologies.
    Next, combining that "IT" or "It entity" with that old Christian apocalyptic "mark of the beast" and the old computer system in Belgium 30-years ago claiming to be big enough to track every world transaction, also nick-named the beast.
    Then combining that concept with V. Bush's concept of "recording a life" or the later "life log theory" from Bell Labs.
    Then using the concept of the eRepublic, where government is nothing more than a networked website.
    Then considering the thought of Bill Gate's concepts in "the Road Ahead" where the digital nervous system of a corporation was completely and fully integrated.
    Combined with SAPs, and Oracles enterprise solutions
    Combined with Google's data bases
    Combined with the Pangaea Project for kids to collaborate in elementary school around the world and programming the AI computer, using a scheme designed by Carnegie Mellon to crowd source the teaching of an AI system. "eLearning Collaborative Networks like Quorum or Pangaea"
    Combined with IBMs newest mind map visualization recently in the news..
    Combined with these following thoughts of mine:

    My Book; "The Future of Truck Technologies," and 3D and 4D Transportation Computer Modeling; Page; 201.
    My Book; "Holographic Technologies," specifically; Data Visualization Schemes; Page 57 Chapter 5.
    My Article on 3D and 4D Mind Maps for Tracking and Analyzing.
    My Article on Mind Maps of the Future and Online style Think Tanks
    My Article on Stair Step Mentorship for Human Learning in the Future and Never Aging Societies.

Okay now let me explain the premise of my concept for Visual Analytics;

First, forget this whole idea of a 2D mind mapping concept or chart used to show links between terrorist players, cells, assets, acquaintances, etc., the way it is laid out currently - make it 3D, actually make it 4D and 5D where some layers can only be seen by a select few, and let's say a 6D level that can only be accessed by an AI super computer [why; because I don't trust humans, they can't be trusted, i.e. WikiLeak, leaker for instance].

Next ALL the data is stored within in the sphere. But to access the data on the outer side of the sphere, picture Earth's surface, the ball or sphere (with grids like a map of the globe) rolls around on a giant grid paper. When you want to look at a particular event, person, subject, or whatever, a particular point on the sphere's grid touches a corresponding point on the grid paper it rolls on, the grid paper it rolls on can wrap around and morph itself to the sphere or contour itself so the next corresponding piece of information on the surface can be accessed, rolling or spinning.

Picture a selectric typewriter ball on a shaft as a 2D model to consider this, now make it all 3D in your mind, and the paper molds around the sphere as it accesses, or in the case of a selectric typewriter it types. Now the Sphere is hollow inside containing layers, just like the earth, crust, mantel, and core. Information goes deep or across, every piece of information is connected, think about the earliest string theory models for this.

Great thing about my visualization concept is I believe all this math exists, even though in reality string theory is mostly bunk, but the math to get there makes this possible. As the information goes deep, think about the iPad touch screen, or the Microsoft restaurant "menu on a table" concept, or the depictions of Minority Reports, moving of the screens by way of motion gestures, I believe Lockheed also has this concept up and running for air-traffic control systems, prototype versions, perhaps the military is already using it, as it has massive applications for the net centric battlespace visualization too.

Okay so, some levels go through a frame-burst scenario taking you into another level, where the data generally stored at the almost infinite number of grid points and cross connected to every other is nothing more than a nucleus with additional data spinning around it. But the user cannot access all that information, without clearances, the AI system has access to all of it, while a sorting system is a series of search features within search features, with non-linked data also. You can't break into it; it's not connected to the users' interface at all, think of the hidden data as electrons unattached around the data. The data is known to exist but cannot be accessed that would be the 5D level, and 6D level no human may get too, but the data exists.

You know that surfer dude in Hawaii that came up with the "Grand Theory of the Universe" why not use his model for our visualization, in spherical form, again, the mathematics for all this already exists.

You see, what I need is a way to find people like me, I want to find these thinkers and innovators to take it all to the next level, and if the visualization is there, we can find; The Good Guys, Bad Guys, and the Future all at once. Why do I want a "Neural Network" visualization system in a sphere? It seems to me that this is how the brain does things, and what we are doing here is creating a Collective Brain, using each individual assigned to an "ever-expanding" unit of data, along a carrier or flow.

Remember when Microsoft Labs came out with that really cool way to travel through the Universe and look at all the celestial bodies along the way, using all the Hubble Pictures collected? It's kind of like that, you travel to the information, discover as you travel and it piques your curiosity as you go triggering your own brain waves, and splashing the users minds with chemical rewards as they go, as they discover more information, expanding their understanding as well, it just seems to me this is how it all works anyway.

Think of that old Sci Fiction concept where the Earth and our solar system are merely an atom of a chemical compound within a cell of the human body, all we can see is all the other compounds around us because everything is so small, thus, we cannot see the whole picture and what appears to be an entire universe would only be a few thousand cells close enough for us to see. And time itself is slow, as the electrons or planets moving around the atom appears to take a year to circle the nucleus instead of 10,000 times a second.

So, combining all these types of thoughts, this is how I envision how the future visualization tools would work.

Now then, using the whole concept of connecting the dots for information or even building an AI search feature scouring the system at speeds of terabytes a second, the AI computer can become the innovator, thanks to the user asking the question, and all the neurons (individual humans) with all their data putting in the information. You just need the best questions, you get instance answers.

Okay so, take this concept one step further; the AI super computer's operation is a "brain wave" and that brain wave is assigned a number, you can have as many brain waves, as the internet has IP addresses, with whatever scheme for that you choose. And your query can search the former queries too. The user's questions are as important as the data itself.

Thus, it helps us find the innovators, the question askers, once we know that, we have the opportunity for unlimited instant knowledge. Data visualization can take us there, and it removes all the fog of uncertainty, and answers most all the questions we could ever hope to ask, and comes up with its own questions as well. Does this make sense?

This is the type of visualization I need to faster access information, and I can solve all the problems, even the ones humans refuse to solve, or doom themselves to repeateth. That's my preliminary thought on this - may we start such a dialogue on the topic? If so, email me, and I hope you enjoyed today's dialogue?


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