The Quest Team provides a broad base of proven products and services to organizations which require highly effective marketing, results-achieving sales organizations, and productive customer teams.
Quest Team in-house training programs are designed to make sure that your marketing, sales and customer support teams have that special edge of differentiation.
Financial modeling as a basis for management decision and action
Whether you are an entrepreneur or an "intra-preneur", if your role involves strategic planning, you will profit from being able to see the financial implications of your ideas.
Understanding the concepts and language of financial reporting
Whether you are an executive, manager or professional, you may need to evaluate a customer, plan new projects or policies, or simply deal with the financial aspects of your role. To be effective you'll want to be able to use the language of accounting.
To successfully manage a business, you must understand where your product costs actually come from. This course is designed to help you think about the alternatives you have in setting prices.
Making the Microchip - At the Limits III is an overview of the semiconductor processing industry. This video course provides a comprehensive view of the complex manufacturing steps using non-technical terminology and analogies.
Gain a deep understanding of important aspects of corporate-level complex sales, product marketing, and other information about technology industries from our panel of seasoned experts.
In situations where it hard to get market data such as TAM and SAM because we're a small company with a low budget, what is the solution?
(ep104)
There is no magic answer. There is a reason why market data costs money. There are techniques you can use to try and extrapolate data from other known databases, but you will have variable results. However, to get meaningful hard data, in your niche, it costs money.
Paying the money for the right data can be extremely cost-effective because it can keep you from making costly or even fatal mistakes. Usually the cost of the data is 1% or less of what you can lose by screwing up when you don't have it.