RESEARCH ARTICLES | RISK + CRYSTAL BALL + ANALYTICS

Perceptions and popularity of analytics technologies over time

Perceptions and popularity of analytics technologies over time

Will machine learning be the dominant technology focus over the next 2 years?

While doing some market analysis, we decided to take a look at how search terms were being used in Google around the world as they related to advanced analytics technologies. We picked five terms to compare over five years: risk analysis, big data, machine learning, Monte Carlo method, and forecasting. We then proceeded to download the data and apply some quick and dirty forecasting to see what would happen to the popularity of the search terms overtime.

  • 18 October 2017
  • Author: Eric Torkia
  • Number of views: 6606
  • Comments: 0
Multi-Dimensional Portfolio Optimization with @RISK

Many speak of organizational alignment, but how many tell you how to do it? Others present only the financial aspects of portfolio optimization but abstract from how this enables the organization to meets its business objectives. We are going to present a practical method that enables organizations to quickly build and optimize a portfolio of initiatives based on multiple quantitative and qualitative dimensions: Revenue Potential, Value of Information, Financial & Operational Viability and Strategic Fit.

This webinar is going to present these approaches and how they can be combined to improve both tactical and strategic decision making. We will also cover how this approach can dramatically improve organizational focus and overall business performance.

We will discuss these topics as well as present practical models and applications using @RISK.

  • 28 June 2016
  • Author: Eric Torkia
  • Number of views: 4494
  • Comments: 0
Why are analytics so important for the virtual organization? Read these quotes.

Since the mid-1990s academics and business leaders have been striving to focus their businesses on what is profitable and either partnering or outsourcing the rest. I have assembled a long list of quotes that define what a virtual organization is and why it's different than conventional organizations. The point of looking at these quotes is to demonstrate that none of these models or definitions can adequately be achieved without some heavy analytics and integration of both IT (the wire, the boxes and now the cloud's virtual machines) and IS - Information Systems (Applications) with other stakeholder systems and processes. Up till recently it could be argued that these things can and could be done because we had the technology. But the reality is, unless you were an Amazon, e-Bay or Dell, most firms did not necessarily have the money or the know-how to invest in these types of inovations.

With the proliferation of cloud services, we are finding new and cheaper ways to do things that put these strategies in the reach of more managers and smaller organizations. Everything is game... even the phone system can be handled by the cloud. Ok, I digress, Check out the following quotes and imagine being able to pull these off without analytics.

The next posts will treat some of the tools and technologies that are available to make these business strategies viable.

  • 26 June 2013
  • Author: Eric Torkia
  • Number of views: 9880
  • Comments: 0
Reducing Project Costs and Risks with Oracle Primavera Risk Analysis

.It is a well-known fact that many projects fail to meet some or all of their objectives because some risks were either: underestimated, not quantified or unaccounted for. It is the objective of every project manager and risk analysis to ensure that the project that is delivered is the one that was expected. With the right know-how and the right tools, this can easily be achieved on projects of almost any size. We are going to present a quick primer on project risk analysis and how it can positively impact the bottom line. We are also going to show you how Primavera Risk Analysis can quickly identify risks and performance drivers that if managed correctly will enable organizations to meet or exceed project delivery expectations.

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  • 4 May 2012
  • Author: Eric Torkia
  • Number of views: 4901
  • Comments: 0
Modeling Time-Series Forecasts with @RISK


Making decisions for the future is becoming harder and harder because of the ever increasing sources and rate of uncertainty that can impact the final outcome of a project or investment. Several tools have proven instrumental in assisting managers and decision makers tackle this: Time Series Forecasting, Judgmental Forecasting and Simulation.

This webinar is going to present these approaches and how they can be combined to improve both tactical and strategic decision making. We will also cover the role of analytics in the organization and how it has evolved over time to give participants strategies to mobilize analytics talent within the firm.

We will discuss these topics as well as present practical models and applications using @RISK.

  • 18 October 2011
  • Author: Eric Torkia
  • Number of views: 6238
  • Comments: 0
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