Thriving in the Future
Forecasting & Optimization
Strengthen decision-making to achieve key performance goals
By leveraging a range of forecasting and optimization techniques, we help you to forecast demand in every business area that is critical to your business expansion - from macroeconomic and demographic models with behavioural equations and time series techniques.
Multidimensional Analysis Framework
Using analytic techniques such as multivariate analysis and data modelling reveal optimization opportunities.
Implement segmentation solutions using data reduction techniques, such as factor and cluster analysis, to identify the most lucrative segments of your audience.
Partial Least Squares Path Modeling (PLS-PM) to identify drivers of brand attraction or choice
A statistical approach for modelling multivariable relationships (structural equation models) among different sets of variables, uncovering which (independent) variables have a predictive impact on the outcome of other (dependent) variables. It also provides statistical testing of these relationships - factor loadings that indicate the strength of the impact between the two types of variables.
We use a number of methods to determine how consumers react to price adjustments.
MaxDiff Scaling provides insight into the differentiation between consumers’ options.
Latent class segmentation analysis into how different groups of consumers base their purchase decisions on the different product/service attributes.
Optimization of product configuration alternatives
Product Pricing and Marketing response analysis
Van Westendorp Price Elasticity Modelling, stress-tests the range of prices consumers expect to pay for product/service, while conjoint analysis measures price tolerance given various alternative options.
Experimental design-based methods can reinforce findings of how many consumers will buy product/service under various price options.
With Choice-Based Conjoint (CBC), we help determine best fit product/service options in terms of sales, revenue, and profitability.
A combination of CBC modelling and consumer segmentation helps determine how your target audience will react to specific product/service attributes.
What should we do better?
Smarter decisions in the data-driven economy
Artificial Intelligence & Machine learning
Machine learning is an artificial intelligence (AI) technology which allows machines to learn by using algorithms to predict outcomes and learn from successes and failures.
“What should we do better?”
Speed up intelligence delivery with machine learning algorithms and models
Our research analysts make the most of open source machine learning frameworks including TensorFlow, Spark ML, Scikit-learn and Apache Spark MLlib to augment Sales forecasting, Customer data interpretation and churn detection, Sentiment analysis and Behaviour tacking, Personalized customer recommendations and Fraud detection.
Cognitive analytics empower organizations to go from big data to smarter decisions that transform business value.
We help apply cognitive analytics in the areas of customer service, production and supply chain, and risk assessment.