Advanced Analytics – CALIGO

Citizen Data Scientist

Caligo — Fri, 16 Apr 2021 12:21:02 +0000

A Citizen Data Scientist is a person who creates or generates models that use advanced diagnostic analytics or predictive and prescriptive capabilities, but whose primary job function is outside the field of statistics and analytics.

Citizen data scientists are power users who can perform both simple and moderately sophisticated analytical tasks that would previously have required more expertise.

Visual Analytics

Caligo — Fri, 09 Oct 2020 05:59:22 +0000

Visual Analytics is an integrated approach combining visualization, human factors and data analysis. The process of Visual Analytics couples automatic and visual analysis methods with human interaction to extract information from data to support analytical reasoning processes. Visualization brings effectiveness and eases the decisioning for even complex business cases.

Data Mining

Caligo — Fri, 09 Oct 2020 00:10:16 +0000

Data Mining is considered as a discipline under Data Science for deep exploration and analysis of large raw data to gather patterns, anomalies and insights for business uses. The main aim of data mining is to extract information from a data and transform it into an understandable and interpretable form for further uses. Data mining is an interdisciplinary process combining statistics, mathematics and computation at its center.

Predictive Analytics

Caligo — Fri, 09 Oct 2020 00:08:31 +0000

Predictive Analytics is the combination of various statistical techniques to analyze historical and current situations to make predictions about future and unseen data. Data mining, predictive modelling, statistics and analytical techniques come together to create predictive intelligence and brings management, IT and modelling disciplines together under the roof of Predictive Analytics to make predictions about the future.

Big Data Analytics

Caligo — Thu, 08 Oct 2020 23:36:43 +0000

Big Data Analytics is the use of sophisticated analytical techniques to gain value from very large (tera-bytes to zeta-bytes) and diverse datasets containing unstructured, semi-structured and structured data. Using advanced big data analytics applications data analysts or data scientists can examine the large amount of all these types of data and gather insights from them. Speed, efficiency and advanced technologies are the most important benefits of big data analytics.

Machine Learning

Caligo — Thu, 08 Oct 2020 23:23:47 +0000

Machine Learning is a branch of AI that enables teaching a computer system which make accurate predictions without any human interaction. In Data Science, a learning algorithm is basically a modelling process which consists of feature generation and training alternative model methodologies by using existing data to find patterns and make predictions for new data.