Statistical Consulting

Empowering Your Business with Data-Driven Insights

Our Expertise in Statistical Consulting

ABMS Consulting helps connect companies and provide consulting solutions in statistical and data-related avenues. We provide Analytics as a Solution.

Key Services:

Experimental Designs
Data Mining
Machine Learning & Big Data Analytics
Statistical Analysis
Data Solutions
Applications

What We Offer

Excellent tool for engineers and scientists for product design and development, and process improvement. The outcomes are products robust to environmental factors and other sources of variability. Using experimental design early in the product cycle can substantially reduce development lead time and cost, leading to processes and products that perform better with higher reliability than other approaches.

Our designs include:

Analysis of Variance (ANOVA)
Multivariate Analysis of Variance (MANOVA)
Multivariate Analysis of Covariance (MANCOVA)
Random effects model
Randomised block designs
Factorial designs
Response surface methods

Machine learning is a branch of artificial intelligence (AI) that uses mathematical algorithms to learn from historical data and make predictions on unseen future data. We utilise various algorithms such as:

Random forest classification
K-nearest neighbor
Linear regression

Based on the type of data, algorithms are categorised into four broader categories: supervised, semi-supervised, unsupervised, and reinforcement learning. Explore our Machine Learning Program approved by HRDCorp.

Our statistical analysis services encompass a broad range of techniques to help you make sense of your data, including:

Exploratory data analysis
Linear models such as multiple linear and logistic regression
Descriptive statistics
Time series analysis
Hypothesis testing
Bayesian probability models
Queueing theory
Markov chain models
Survival analysis
Sampling techniques
Statistical process control (SPC)
Six Sigma

Explore our Statistical Process Control Program approved by HRDCorp.

Data mining allows for the non-trivial extraction of implicit, previously unknown, and potentially useful information from large data sets. Also known as Knowledge Discovery in Databases, it involves applying mathematical algorithms to extract patterns for business applications. Some of the algorithms we use include:

Association rules
Clustering
Interactive trees
Classification

Data mining applications include credit ratings, intelligent fraud detection systems, more accurate diagnostics for patients, and optimising marketing campaigns and sales channels.

We offer comprehensive data solutions that cover various aspects of data management and analytics, including:

Data centralisation
Data governance
Data integration
Data transformation
Data cleansing
Data normalisation
Data visualisation
Data analytics
Data lakes
Data bricks
Data warehousing
Cloud computing
Automating office reports

Explore our MySQL Program approved by HRDCorp