Courses Infomation

Frontline Systems Analytic Solver Platform 2016 x32-x64, (Mar 2016)

Archive : Frontline Systems Analytic Solver Platform 2016 x32-x64, (Mar 2016)

Tutorials, videos, webinars, and online courses for you and your team may help you begin your journey from Business Analyst Pro to Analytics Ninja.

Tutorial on Optimization

Software tools called solvers or optimizers assist users in choosing how to distribute limited resources. Examples include distributing funds for investments, finding new warehouse locations, or arranging operating rooms for medical facilities. In any situation, a number of judgments must be made in the best method while also meeting a number of criteria (or constraints). The term “best” or “optimal” can refer to a solution that maximizes revenue, reduces expenses, or produces the best results. Here are some illustrations of optimization issues:

Finance/Investment: Portfolio optimization, capital budgeting, and cash management.
Production: Issues with job shop scheduling, mixing, and cutting stock.
Networks and Distribution: Routing, truck loading, and fleet scheduling.
Sign up for a webinar or continue reading

Tutorial for Simulation and Risk Analysis

In quantitative risk analysis, decision factors that we can control as well as unknown elements that we cannot manage directly are included into a mathematical model of a project or process. The influence of the unknown parameters and the choices we make on the outcomes we care about, such as profit and loss, investment returns, environmental results, and more, are calculated using the Monte Carlo simulation, which examines millions of potential scenarios. Simulation and risk analysis are widely utilized in the following sectors:

Modeling R&D and clinical trials in pharmaceuticals
Modeling drilling projects for oil and gas
Modeling the frequency and types of claims in insurance
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Training in Data Mining

By utilizing data mining software tools, users may discover patterns and undiscovered connections in data that can be utilized to forecast behavior and improve business choices. A machine learning algorithm “trained” on prior observations can be used to categorize incoming transactions as “legitimate” or “suspect” or anticipate the likelihood of future events like consumer “churn.” Other approaches can be used to identify “clusters” of related data or identify relationships between various elements. Typical applications comprise:

Financial Services: Risks associated with excellent vs. bad credit, fraud detection
Segmentation in direct marketing increases response rates
Identifying the “most persuadable” voters in electoral politics

What is forex?

Quite simply, it’s the global market that allows one to trade two currencies against each other.

If you think one currency will be stronger versus the other, and you end up correct, then you can make a profit.

If you’ve ever traveled to another country, you usually had to find a currency exchange booth at the airport, and then exchange the money you have in your wallet into the currency of the country you are visiting.

Foreign Exchange
You go up to the counter and notice a screen displaying different exchange rates for different currencies.

An exchange rate is the relative price of two currencies from two different countries.

You find “Japanese yen” and think to yourself, “WOW! My one dollar is worth 100 yen?! And I have ten dollars! I’m going to be rich!!!”
When you do this, you’ve essentially participated in the forex market!

You’ve exchanged one currency for another.

Or in forex trading terms, assuming you’re an American visiting Japan, you’ve sold dollars and bought yen.

Currency Exchange

Before you fly back home, you stop by the currency exchange booth to exchange the yen that you miraculously have left over (Tokyo is expensive!) and notice the exchange rates have changed.

It’s these changes in the exchange rates that allow you to make money in the foreign exchange market.

Salepage : Frontline Systems Analytic Solver Platform 2016 x32-x64, (Mar 2016)