Combine Traditional BI with Modern BI and Analytics to Improve User Adoption and Gain Advantage! The world-renowned technology research firm, Gartner, predicts that, ‘through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives’. As businesses consider the […]
Tag: Advanced Analytics
Wise business owners and managers are taking on the challenge of implementing data democracy, digital transformation (Dx), and Citizen Data Scientist initiatives. The reason is simple! These businesses understand the benefits and the advantages of providing augmented analytics access to business users, thereby improving fact-based, […]
The focus of this article is on Data Democratization within the business enterprise, but the concepts and approaches involved in implementing this type of initiative are worth considering for any kind of major change within an organization. When thinking about business environments, how they are […]
The trend toward analytics is growing globally. Even the smallest business is jumping on the bandwagon, and with good reason. With market changes, shifts in customer buying behavior and the need to spend wisely, businesses must make data-driven decisions if they are to be competitive […]
Do You Know What Key Influencer Analytics Can Do For Your Business? What matters most in your business? Don’t say everything, because there is no way you can place strategic focus on every aspect of the business and, although all of your goals and objectives […]
If your small or medium sized (SME) business is looking for ways to improve forecasting, problem solving and market opportunities, it must have an agile, swift analytical process that will allow business users to leverage their role, their knowledge of their business function and their […]
This article describes the analytical technique of multilayer perceptrons for classification. What is a Multilayer Perceptron Classifier? Multilayer perceptron (MLP) is a technique of feed-forward artificial neural networks using a back propagation learning method to classify the target variable used for supervised learning. MLP’s […]
This article describes the analytical technique of generalized linear regression with gaussian distribution. What is Generalized Linear Regression with Gaussian Distribution? The Generalized Linear Model (GLM) Regression is a flexible generalization of ordinary linear regression that allows for response variables that have error distribution […]
This article provides a brief overview of random forest classification technique. What is Random Forest Classification? The Random Forest Classification model constructs many decision trees wherein each tree votes and outputs the most popular class as the prediction result. Random Forest Classification output helps […]
This article provides a brief overview of isotonic regression technique. What is Isotonic Regression? Isotonic Regression is a variant of linear regression and allows us to build models in piecewise linear manner i.e., breaking up the problem into few or many linear segments and […]