Business Solutions

Should you be Learning more about Machine Learning Algorithms?


More and more businesses are switching from reacting to situations to anticipating them. How do they do this?

In order to anticipate or predict a situation, an organization must have a business question in mind. Questions such as:

Is this a fraudulent transaction or not?

Will the stock price in the next week go up or not?

Is this particular person a credit risk or not?

Will this customer buy item ‘A’ or not?

How many units will be sold next week?

What will the stock price be tomorrow? etc

The best way to make business decisions is to analyse the relevant historical data and to identify the patterns in the data. To identify the relevant data, it is important that the analyst speaks with the domain experts to help them identify the relevant data. Further, it is not only the analysis of the historical data (being reactive always) that can help answer the above business questions. It is also important that businesses use predictive data (being proactive and sometimes preventing negative activity) to help answer the above questions.

Machine Learning is a method for data analysis, in particular, Machine Learning Algorithms focus on using the relevant data inputs to make Predictions for the business or Classify the business products, services or customers.

Machine Learning is an algorithm that explores the data for patterns and identifies the key data (factors) that will help the business to predict/classify its target outcome of interest (like the above business questions). Machine Learning uses statistical techniques (such as the logistic regression, neural networks, decision tress, etc) and computer programming languages (such as Python, R, SAS, Matlab, etc) to automate the predictive/classification models using algorithms that iteratively learn from the data and find the hidden insights that humans would not usually have known about. These hidden insights are like ‘gold for the business’ as they usually improve the business predictions/classifications without being explicitly programmed where to look. The Machine Learning Algorithms further improve when they are regularly updated with new data and knowledge.

For Machine Learning Algorithms to be effective, it is important for businesses to be able to capture the relevant, good quality data in real time or almost real time and to allow the right people in the business to apply the predictions/classifications timely and thereby gain advantage over their competitors.

Are you interested in learning more about machine learning algorithms and how your business can improve its sales/predictions and become ore efficient? Contact me at

Are you Making Good Use of your Data?




Every business has lots of data…the question that needs to be answered is, “Are you making good use of your organisation’s data?

The best way to make good use of your organisation’s data is to use it to solve the business problems of today. When there is a business problem, brainstorm and understand what could be causing this problem…and then identify the relevant business data that can help provide insights & solve the problem.

Extract the relevant data a, perform Data Visualization to better understand when the problem is occurring, which location, for which products, which customers are being affected, etc and then measure and compare the insights , using appropriate analytical techniques such as Descriptive Statistics, Hypothesis Testing, Correlation Analysis, Regression Analysis, etc to help solve the business problem.

Evaluate the analytical results and validate that the solution is accurate and meaningful. Then take action, this is the most important step…TAKE ACTION and monitor and manage the results of your action. The last and final step is to demonstrate and communicate the analytical value to your organization. Whether it be a Reduction in Costs, Increase in Revenue, or Reduction in Time, these are essential communication messages for the Business Operations and Strategy Team to understand how Business Analytics can help solve business problems using a data driven strategy.

If you would like to learn more or are interested in projects like the one described above, contact us at Business Data Analytics Solutions Pty Ltd at