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Combine Big Data with Knowledge Management and empower your end users!

NOUNZ makes working with Big Data quick, easy, and affordable!

Use NOUNZ to expose and share the knowledge that is hidden in your data!

Generate massive quantities of Views, Reports, Dashboards, and Visualizations without writing any code!

Help standardize enterprise views of Data and Information!

Become your enterprise's de facto Data, Information, and Knowledge Curator!

Create a useful, easy to navigate, and feature rich Intranet that has real business value!

Consolidate systems like your Intranet, Architecture Modeling Solution, your CMDB, and your Knowledge Management System!

Avoid spending critical funds on unnecessary tools!


Enterprise Documentation, Modeling, and Knowledge Sharing Made Very Simple, Fast, and Affordable

NOUNZ Services
NOUNZ Interest

NOUNZ For Better Enterprise Knowledge Management

NOUNZ is software that builds very large and very powerful web-based knowledge repositories, automatically and directly from data.

It makes publishing, sharing, and exploring large volumes of knowledge very simple, very quick, and very affordable.

NOUNZ is Blazing Fast

NOUNZ builds bigger and better knowledge repositories, in minutes, than an entire army of people can generate in years.

This is possible because NOUNZ uses a paradigm called "Data Compilation." In other words, instead of humans writing and publishing Web Pages one at a time, NOUNZ reads data from Comma Separated Value files and uses them to automatically construct a massive Digital Library (See a NOUNZ generated Digital Library) faster than a person can get that single page published.

NOUNZ is offered in two forms:

What are the Benefits of NOUNZ?

NOUNZ allows you to format, organize, publish and share massive quantities of data, information, and knowledge for your stakeholders faster, more affordably, and with features that most companies can only dream of.

This translates to...

In short, this all translates to lower Total Cost of Ownership (TCO), quicker knowledge delivery, greater enterprise transparency, and a much higher knowledge maturity level for you and your enterprise

How NOUNZ Works

Once you've installed the Ruby Language Interpreter and the NOUNZ Software, NOUNZ revolves around an iterative three (3) step process...

  1. You Supply the Data: In this step, you collect, cleanse, and organize your data. And, you specific specific rules for branding, structuring, formatting, and harvesting of data and relationships. Once it's all ready, you simply stage it for NOUNZ to consume.
  2. You Compile: In this step, you simply run the compiler. In minutes, you can generate hundreds of thousands of neatly organized, feature rich, and highly interlinked web pages, all cleanly packaged in a simple to use and simple to deploy Electronic Library that you've branded to match the look and feel of your enterprise or that of your customer's.
  3. You Deploy: In the final step (and only if you care about sharing) you deploy the packaged Electronic Library to a shared file system or to a web server so you can share with a broader set of stakeholders or even an entire large enterprise.

As people look at and use the deployed results, you use a constant feedback loop to keep growing and improving your knowledge base.

Or, if you don't like hosting the technology, staffing the experts, and doing the work yourself, you can also leverage our NOUNZ Modeling Services, where you simply provide us with your data, we run the compile, and ship the results back to you. A simple buy-as-you-go model.

What Can Be Documented and Represented With NOUNZ?

You can use it to quickly document and generate easy to use representations of very complex topic spaces like Assets, Systems, Markets, Market Segments, Product Lines, Products, Services, People, Organizations, Skills, Markets, Suppliers, Consumers, and much more, including all the meaningful mappings and relationships between them.

NOUNZ automatically generates and offers countless views of your
data and information for more comprehensive Knowledge Management!

What Kind of Representations and Visualizations Does NOUNZ Offer?

The power of NOUNZ is the simplicity with which it generates many different interactive views of data and information. With some basic configurations and a simple compile, NOUNZ will generate more textual and graphical representations of data and information than an entire army of developers can, in years. Examples of the types of Knowledge Constructs generated include but are not limited to:

Who Uses NOUNZ and for What?

NOUNZ is used in various roles for various reasons. Here are some examples:

Your data, which represents what's important to you and your enterprise, is used as the very foundation for automatically generating a very powerful and explorable representation of your enterprise that can be viewed from any modern web browser, either local to your computer (for portability) or from a simple web server (for enterprise knowledge sharing).

How is a NOUNZ Generated Web Site Different From Traditional Web Sites (Like Intranets or Wikis)?

  1. NOUNZ helps publish massive volumes of curated content (i.e. Data & Information) much faster than traditional solutions. (Imagine generating sites that are bigger, better organized, and more feature rich than Wikipedia, with a tiny fraction of the resources in a tiny fraction of the time.)
  2. NOUNZ automatically harvests and establishes hundreds of thousands and even millions of meaningful links between Data & Information faster than an army of humans can. Because the majority of the links are Semantic in form, it means that there is additional context for how and why things are linked together.
  3. The Data and harvested links are all combined and used as the automatically generated backbone for the web site's navigation and user experience.
  4. In addition to just articles, NOUNZ automatically generates a massive number of highly interactive, feature rich, and alternate Views, Reports, Dashboards, and Visualizations that would cost a fortune and years of complex development for your own staff to develop, deliver, and maintain.
  5. Since NOUNZ is simple and has very little required infrastructure, the Total Cost of Ownership is always very low for the value delivered.

Why You're Here...

How NOUNZ Accomplishes All Of This...

  1. NOUNZ eliminates your dependency and spend on complex infrastructure (it even runs on a portable laptop).
  2. NOUNZ eliminates the need for meta-model design, deployment, and change management. There is no need to model, at all.
  3. NOUNZ eliminates significant dependency on Business Intelligence and Analysis tools by automatically synthesizing many Views, Reports, Dashboards, and Visualizations for you that would otherwise require significant investments in other tools and people.
  4. NOUNZ minimizes complex data integrations between many different silo-ed systems... by eliminating and collapsing the silos into one Semantic Data Platform.

NOUNZ quickly weaves your enterprise data and
information together, creating a highly intuitive,
navigable, and explorable Knowledge Network.

What NOUNZ Automatically Generates/Synthesizes...

What Can NOUNZ Be Used For (Or Even Replace) In Any Enterprise?

IF4IT Model and Web Site Generation Services As An Alternate Option...

Some enterprises may not have the resources to install, maintain, and/or operate these types of tools or may not be able to hire, train, and/or maintain resources who will perform modeling and content curation work for them them. For this reason, the IF4IT has dedicated partners who can use NOUNZ to perform such services for you. These means you can have the same great models and web sites, from a low cost fee for service model.

Talk to an IF4IT representative about how NOUNZ based modeling and web site generation services from the IF4IT or its partners can help get you and your enterprise the same elaborate solutions that larger enterprises receive, all as part of a low and very affordable fee for service model.

NOUNZ Lite Edition

NOUNZ Lite Edition is intended for the Individual Practitioner, especially those who work as individual consultants or contractors. Such Individual Practitioners often cannot afford the same powerful tools that larger enterprises can. With NOUNZ Lite Edition, Individual Practitioners can now offer the same types of competitively powerful documentation and modeling, at a price that's affordable to an individual.

Features: NOUNZ Lite Edition offers all the same features of NOUNZ Standard Edition, minus the ability to load relationships in bulk or mass form and a limitation of fifteen (15) unique Noun/Data Type definitions and configurations.

Availability and Distribution: NOUNZ Lite Edition is distributed, along with free regular upgrades, to individual practitioners as part of paid yearly IF4IT Professional Membership. NOUNZ Lite is made available to non-members at the non-discounted price of $250.00 per distribution.

NOUNZ Features

NOUNZ offers many powerful features that make it easy to organize, correlate, share, and work with large volumes of Data and Information with your end users so that they can have the ultimate experience in Knowledge Management. Features include but are not limited to:

Feature Feature Description Benefit(s)
360 Degree Views of Data All Noun Instances (i.e. Data Records) that are parsed by the compiler are given easy to access, view, and navigate 360 Degree Views of all other related items. Translates to quick and very simple impact analysis. End users can quickly see how data and information are tied together, with direction and semantic meaning. It also means that end users can traverse data with the easy of a mouseclick.
Alternate Interactive Views of Data The compiler generates many predefined alternate and highly interactive views of your data that will mix text, links, custom formatting, interactive charts, interactive complex visualizations, and much more. Translation: End users get to see data and information in ways that make the most sense for the context they're working in, ensuring they get one the most advanced Knowledge Management experiences available, for minimal investment.
Alternate Views of Semantic Relationships NOUNZ provides many different segmented and aggregated ways to access and view Semantic Relationships that include but are not limited: textual sentence structure views, textual tabular views, directional graphical views, predicate collection views, and even Predicate Catalog views that most competitors simply cannot deliver. Unlike most other systems that ignore and do nothing with relationships, NOUNZ uses relationships to give end users powerful context and meaning for the quick access and easy interpretation of, both, data and information. This means end users get far more from the data and information they work with, for far less effort. It also means your enterprise doesn't have to waste funds developing these reports and views.
Any-to-Any Relationship Mapping The compiler naturally supports One-to-One, One-to-Many, Many-to-One, Many-to-Many, and even Circular Relationships. Ensures flexible relationship development and management, guaranteeing a more comprehensive knowledge experience for the end user.
Automatic Electronic Library Generation The compiler automatically organizes all generated HTML documentation into a very intuitive and easy to use Electronic Library (that is extended and further packaged within a stand-alone web site). Ensures that all data is neatly organized, easy to find, and quick to access. Also minimizes end user training, as almost everyone knows how to use a standard library.
Automatic Web Site Generation Every NOUNZ compilation automatically generates/synthesizes neatly packaged web sites that contain your Electronic Library and all your synthesized documentation and knowledge artifactsЙ all directly from your data and information. A scalable and easy to deploy solution that allows you to quickly and simply build as many web sites as you need. Your generated web sites can be as small as a few pages or even bigger than massive public sites like Wikipedia. The more data you have, the bigger and more comprehensive your synthesized web sites will be.
Bulk loading of data inventories By default, all data that is loaded into NOUNZ via bulk data loading. Allows administrators to load hundreds of thousands or even millions of records for compilation quickly and efficiently.
Compile Snapshot Versioning for History Every compilation allows administrators the opportunity to easily version all input data, the NOUNZ software version used for compilation, and all resulting output documentation, all in your favorite source code control and versioning system. Ensures thorough versioning and easy comparison of any two points in time (for example, comparing any two snapshots in history to each other) so that it becomes very easy to see what changed between those two points.
Custom Documentation and Web Site Branding NOUNZ allows configurable branding for any web site all HTML web pages you generate, regardless of the size of the site. This means you can customize NOUNZ to match and meet the needs of your intended audience.
Dynamic Log File Generation Every compile generates a comprehensive log file that logs progress, errors, and warnings. Ensures that administrators have a thorough view of what's going on, with every compilation.
Dynamic Noun Type (Data Type) Specification Administrators can rapidly and dynamically specify any Noun/Data Types to address any problem domain. Allows for massive and dynamic scaling of different Noun/Data Types and makes implementing change very simple.
Extended Library of "Built-In" Data Types The NOUNZ Compiler handles far more than just Integers, Strings, etc. It also provides administrators to extend data types to handle more complex human concepts, such as Severity, Importance, extended Noun Types, and much more. Eliminates the need for custom programming to control formatting, look, feel, and behavior of data.
Federated Library Catalogs NOUNZ automatically generates federated Master and Domain-specific Catalogs. This translates to easy yet powerful and comprehensive grouping of, both, textual and visual indexes so that end users have a long list of ways to access the data they care about in a meaningful manner.
Full Portability Every NOUNZ generated Electronic Library is 100% portable, as you can put it on any thumb drive, hard drive, shared drive, or web server. This means you can easily have local, federated, and/or centralized copies of any of the web sites you generate.
HTML Default Output for all Documentation Every NOUNZ compilation ensures that all your electronic documentation is generated and structured in pure HTML. This means that everything generated is neatly packaged in an HTML web site that can be read by any modern web browser (even without a web server), and ensures that all documentation is naturally and powerfully interactive, much more so than documentation that comes from your presentation, spreadsheet, and word processing tools. For example, your documentation will include powerful and highly interactive views, reports, and visualizations that end users can interact with, directly through modern web browsers.
Library Indexes for any Noun Type (Data Type) The compiler allows for Automatic Index generation, both, default and administrator defined and in, both, textual and visual form. This translates to very simple and quick end user access to contextually grouped and highly meaningful data sets.
Many Out-of-Box Interactive Charts, Reports, Dashboards, and Visualizations The compiler generates many different interactive Charts (e.g. Bar Charts and Pie Charts), many different types of interactive Reports (e.g. Inventories, Indexed Groupings, and Relationship Density or Connectedness Reports), many different interactive Dashboards (combining interactive Charts and metrics), and many different interactive visualizations (e.g. Node Cluster Views and Dynamic Block Browsers for visualizing hierarchies and trees). This translates to massive reduction in Business Intelligence costs (which you would otherwise have to fund) while providing end users with the most advanced and contemporary data and information exploration features (something your enterprise would probably never even fund).
Mass-Loading of Semantic Relationships Not only does the compiler allow for the rule-based automatic harvesting of vast quantities of Semantic Relationships but it also allows administrators to mass-load externally defined Semantic Relationships. Allows the flexibility of loading relationships that come from other systems or humans, in mass form, with speed and simplicity. More relationships mean more meaning and context, making any NOUNZ generated web site a powerful knowledge source.
NOUNZ is a Compiler and Not Database Transaction-Oriented NOUNZ is a compiler, meaning it takes data in, in the form of flat files, and it automatically generates or synthesizes massive quantities of neatly organized, and highly interactive HTML documentation. This means simplicity, speed, flexibility, scalability, and comprehensiveness... all for a fraction of what it takes to own, install, configure, model, integrate, and load traditional database-oriented systems.
Rapid HTML Documentation Synthesis The compiler quickly loads your data, traverses it, and creates powerful, highly interactive, simple to use, and very intuitive HTML documentsЙ all faster, more affordably, and with far higher quality than an army of human resources can. Ensures that you can quickly document and represent almost any problem domain, regardless of its complexity, with affordable ease and speed. Also ensures that you get the best Return on Investment (ROI) when you generate voluminous quantities of meaningful, feature rich, high quality, and scalable HTML documentation, far outpacing the ROI you would get from other systems.
Rules Based Harvesting and Cataloging of Abbreviations and Acronyms With the specification of simple rules, NOUNZ can automatically harvest and catalog massive quantities of Abbreviations and Acronyms, while simultaneously ensure linkages from each Abbreviation or Acronym back to the data and information they represent. This means you can finally provide powerful, massive, and highly inter-linked enterprise Abbreviation and Acronym Glossaries without much effort, eliminating the need for you to fund and perform the work to collect, organize and publish them all.
Rules Driven Data Formatting The compiler allows administrators to specify en-mass formatting of specific data through the use of simple configuration settings. Rules driven formatting gives administrators the power to change the look, feel, and behavior of data, en-mass, saving the time it would take to manually achieve the same or to write custom code that that would it for them. It also gives end users a means of seeing and experiencing consistent visual formatting for the same types of data, no matter where it appears.
Rules Driven Feature Control The compiler allows administrators to specify turning certain features on or off by the types of rules applied to data. For example, the Visual Hierarchical Block Browser can be turned on for data types by appropriately applying the "ParentOf" Noun Attribute Type. Eliminates the need for custom programming to control formatting, look, feel, and behavior of data.
Rules Driven Interface NOUNZ provides administrators with the ability to easily specific rules for things like branding, data definitions, data formatting, and relationship harvesting. Ensures a flexible system that requires not traditional relational data modeling, like other complex systems. If you don't like how something looks, you simply change a rule and recompile. Things easily change from compile to compile at the whim of the administrator or librarian.
Semantic Relationship Harvesting Using simple user-defined rules, the compiler will harvest mass quantities of implied relationships that are buried in your data. Minimizes the need for manual creation and maintenance of large volumes of relationships. Also allows end users to have very powerful, contextual, meaningful connections between any Noun/Data Types, while simultaneously providing a powerful yet simple to use End User data navigation experience.
Semantic Relationships The NOUNZ compiler was designed to naturally create and leverage Semantic Relationships. This allows end users to quickly access and achieve meaningful 360 Degree views of data, for powerful impact analysis and knowledge traversal.
Semantic User Interface Navigation Paradigm The compiler integrates all the Semantic Relationships directly with the User Interface in order to create many different seamless data access points for end users to pivot on and traverse data with. Semantic Navigation Paradigms eliminate the need for humans to manually create and maintain HTML links by ensuring that links are automatically mass-created directly from relationships in a bidirectional manner, maximizing link density, minimizing dead links, and ensuring that end users can move backwards and forwards, to and from any related documentation, without the need for traditional HTML breadcrumbs.
Sortable Tables The compiler generates many dynamically sortable table views of data, for example in any of the indexed groupings it generates. This allows end users to easily sort sets of data based on their needs, a feature that is lacking in most other content management systems, such as in Wikis and Blogs.
Standard Data Upload Interface The compiler simply loads First Normal Form (FNF) Comma Separated Value (CSV) data formats for all configurations, rules, and data. Ensures extreme ease of use, speed to delivery, and lowest costs by minimizing complex data transformations from your formats to another vendor's proprietary form. Almost all systems can easily or have data extracted to First Normal Form (FNF).
Templates for Fast and Easy Data Loading NOUNZ comes with a significant number of ready-to-use and fully customizable templates. Ensures quick ramp-up and output generation times for you and your organization, while simultaneously ensuring that you have the flexibility to easily change things to meet your own needs.

Comparing NOUNZ to Other Traditional Software and Tools...

Order Category Enterprise Modeling Concerns Traditional Software and Tools NOUNZ NOUNZ Benefits
1 Cost Total Cost of Ownership Pay for multiple human resources, dedicated infrastructure, and multiple iterative projects to manipulate and/or load data as the model grows. Typically less than one human resource (i.e. part time) who has some very basic technical skills. Or, a nominal rate to outsource the modeling. Very Low Cost of Ownership
2 Time to Value Time to First Usable Model Often takes months to get to a truly usable model. Can have a usable model in hours and worst case days. Very Quick Time to Value
3 Time to Value Time to Incorporate Changes to Existing Model Can take days for small changes and months for very voluminous changes (think Data Warehouse). Time to register changes and recompile. Minutes, tens of minutes, or hours, depending on the amount of data you have. Very Quick Time to Value
4 Simplicity Infrastructure Set Up and Installation Requires complex physical infrastructure with separate Databases and separate software licenses. Install Ruby. Install NOUNZ. Run on a laptop or powerful server. It's up to you. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
5 Setup and Installation Meta-Model Design Requires a modeler to spend time designing and implementing complex and human fallible models that have problems scaling. Not necessary as the model is generated directly from the data. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
6 Setup and Installation Meta-Model Deployment Once you are done designing your meta-model, you have to deploy it to the database repository that you intend to hold your data. Not necessary, as there is no separate database. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
7 Model Generation Meta-Model Population of Data Common modeling tools require you to pull data from source systems and transform it to meet the new structure that your modeler created. This results in long data transformation projects with high costs. Simply provide data in a canonical denormalized form. Register it with the NOUNZ compiler, define some simple rules, and compile the model. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
8 Model Generation Meta-Model/Model Population and Creation Requires that data be transformed, from original sources and their originating structures, to conform with the designed meta-model, requiring heavy data transformation work. Flat denormalized views of data are simply provided to the compiler, registered, enriched with a few rules, and compiled into the model. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
9 Change Management Meta-Model Changes Requires modeler to spend time modifying the original meta-model in order to accommodate any changes in design to accommodate new data types and/or data attributes. Not necessary as the model is generated directly from the data. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
10 Change Management Data Retrofitting for Model Changes As meta-models change, requires that the data already in your system needs to be taken out and retransformed to fit modifications to the meta-model. Not necessary as the model is generated directly from the data. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
11 Change Management Testing of Model Changes Requires that modelers test and retest every model change, before deploying to the enterprise. Testing cycles get longer as the model grows and becomes more complex. Just recompile and run. Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
12 Scaling Model Growth Growth is dependent on how fast modelers can change the meta-model to accommodate new data entities, how long it takes to retrofit old or existing data, and how long it takes to transform and load new data. Easily scales with your model data. Simplicity, Lower Cost of Ownership, Quicker Time to Value, and More Readily Available Knowledge.
13 Portability Model Transport Models that are populated in databases with significant amounts of data are bound to their infrastructure and, therefore to single enterprise instances. Save the output to a local disk and take it anywhere. Simplicity and More Readily Available Knowledge.
14 Portability Meta-Model and Data Model Decoupling In traditional systems, the model data must sit in a schema that is a reflection of the meta-model. This means that you must install that database schema and a database server and corresponding infrastructure before you can populate it. It also means they will be forever 'coupled' with each other, making the model non-portable. Since the model runs on a web server and there is no required database, the model stands alone from the tool that generated it, allowing for advanced concepts like Modeling-as-a-Service (MaaS). Simplicity, Lower Cost of Ownership, and Quicker Time to Value.
15 Flexibility Model Deployment Requires that the model be populated with data, in a single instance, on dedicated infrastructure, so that all stakeholders can have access. Install on a local disk or on a web server to share with the enterprise. Greater Span of Coverage and More Readily Available Knowledge.
16 History Model Versioning Since there can only be one populated instance of a database with data, history is almost never available or available in very limited forms. Simple save and version every desired compiled outputs as snapshots of the model, in time. Recall any version to understand what the model looked like at that point in time. Simplicity, Greater Transparency and More Readily Available Knowledge.
17 Reuse Systems Consolidation Architecture Models, CMDBs, Knowledge Management Systems, Service Catalogs, and Intranets all exist separately and require integrations between them to share data. NOUNZ can act as all of these systems, eliminating the need for all other systems and the integrations between them. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Greater Transparency.
18 Education and Training Engineering Training Requires Software and/or Hardware Engineers to be trained on how to properly configure, deploy, and support related infrastructure. Not Applicable. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Greater Transparency.
19 Education and Training Modeler and Librarian Training Modelers must be trained and dedicated to design and maintain meta-models. Librarians must be trained on how to transform and load new data into the system, as well as on how to deal with massive data changes, due to meta-model changes by the modeler. Learning how to use the NOUNZ compiler and be productive with it can happen in a couple of hours. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Greater Transparency.
20 Education and Training End User Training Generated models are very technical and geared toward technical resources. Resources must be trained to understand any and all generated technical model artifacts. Having non-technical Business End Users leverage the generated models is almost impossible. Generated models are in the form of an online web-browsable Wiki that is structure in the form of a common and very familiar Electronic Library. Both, non-technical and technical resources can be up and using the end product in minutes. Simplicity, Greater Transparency and More Readily Available Knowledge.
21 Usability Breadth and Quantity of Usable Artifacts Almost anything beyond the artifacts meant for technical resources are unusable by non-technical staff, such as Business End Users. And, getting to higher order interactive Views, Reports, Dashboards, and Visualizations are all development efforts that are at the expense of the customer. NOUNZ generates many highly interactive and organized Views, Reports, Dashboards, and Visualizations. And, as the IF4IT develops new artifacts, you get them for free as part of your support plan. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
22 Usability End User Navigation and Exploration End users are limited to the basic views offered by the tools and any limited reports that are generated by the modeler/librarian. End Users, technical or non-technical (i.e. Business End Users) can explore just like they would any normal Wiki or open Electronic Library. Simplicity, Greater Transparency and More Readily Available Knowledge.
23 Usability Model Data Queries Traditional systems require you to design complex data queries that break, every time you change the meta-model. No query design necessary, as data is automatically organized and partitioned for you. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Greater Transparency.
24 Usability Data Views Traditional solutions offer some basic views but modelers are required to design their own alternate views that often break when the meta-model is changed. Customers are required to modify all their pre-existing custom views, with any changes to the meta-model or data. NOUNZ automatically generates many interactive views (not only core and default views but many alternate views of data) and updates them with every recompile. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
25 Usability Reports Customers are required to build their own reports using their own separate reporting tools and technologies. Customers are also required to modify all their pre-existing reports, with any changes to the meta-model or data. NOUNZ automatically generates many interactive reports and updates them with every recompile. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
26 Usability Dashboards Customers are required to build their own dashboards using their own separate business intelligence tools and technologies. Customers are also required to modify all their pre-existing dashboards, with any changes to the meta-model or data. NOUNZ automatically generates many interactive dashboards and updates them with every recompile. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
27 Usability Visualizations Customers are required to build their own complex data visualizations using their own separate business intelligence tools and technologies. Customers are also required to modify all their pre-existing visualizations with any changes to the meta-model or data. NOUNZ automatically generates many interactive data visualizations and updates them with every recompile. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
28 Flexibility Number of Unique Model Instances Given a single data repository that is often tied to a single database, Customers are often required to live with a single model instance. NOUNZ allows as many instances as you want. Have different permutations of existing data or model totally different areas of your business. Just feed your data to NOUNZ, recompile, and deploy. Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
29 Simplicity Semantic Relationship Management Only a few of the traditional modeling systems allows you to model 'Semantic' Relationships and, in the cases of both those that do and those that don't, the majority of the relationships you create will have to be created manually and, even worse, will have to be changed manually, whenever your meta-model and your data change. NOUNZ automatically harvests and synthesizes large volumes of Semantic Relationships based on simple rules you provide to the compiler. When data changes or when you want new Relationships, simply set new rules and recompile. Try generating and maintaining millions of Relationships by hand! Simplicity, Lower Cost of Ownership, Quicker Time to Value, Better Knowledge Sharing, and Greater Transparency.
30 Support and Maintenance Number of People to Deliver and Support At least part of one software engineer, part of one hardware engineer, part of a trained modeler/librarian, and someone who knows how to convert/transform data to meet the criteria of the new model and who can be dedicated to constantly working to load new and manipulate changes to existing data. A modeler/librarian that knows how to write some basic data manipulation scripts (hopefully in Ruby). Simplicity, Lower Cost of Ownership, and Quicker Time to Value.

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