BIS.Net Analyst | Analytics Apps For Everday Managers

Harnessing Machine Power

Machine power is about using the number crunching prowess of the computer. Of course, all computer applications rely on Machine Power. However, modern machine power, in combination with sophisticated algorithms made it possible for managers to achieve improvements in almost every conceivable environment such as production, quality, marketing, sales, research and development, health and fitness, hospitals, and the home. Machine Learning and Artificial intelligence are some applications. Decision making is another example.

Fully harnessing machine power for decision making is the way forward.

BIS.Net Analyst applies machine powered decision making for Consensus Decision making, Constrained Optimization, Decision Trees and Project Management, described below.

What's included in the Machine Powered Decision Analytics App?

Consensus Decision Making

Used to group objects such that each group is more similar than those in other clusters. Cluster analysis is used in many areas such as market research, quality assurance, social network analysis, medical research, pandemics.

Constrained Optimization

This module helps management make use of limited resources in an optimum manner to achieve a desired objective.

To solve problems of this type historically involved complicated mathematical techniques such as Integer Programing which require a level of expertise not readily available. This module uses the concept of tabular programming to achieve a solution through an enumerative process that makes full use of the machines modern computing power, previously not available

Decision Trees

The Decision Tree Module is used to assess risky projects that involve a series of steps with uncertain outcomes. Decision trees help management decide which projects are ‘good bets’ when allocating a budget.

Project Management

The project management app is used to control projects of varying sizes and complexities. This is needed for managers to cope with the degree of complexity which makes it difficult to see how the individual tasks fit together.

Machine Powered Decision Analytics