Sharing thoughts and insights on the world of Data Analytics and Business

By Winkler Consulting Solutions

Logistic Regression Application

Explore how logistic regression models complex data to predict outcomes in healthcare and construction, from treatment effects to project delays.

Posted by Judith Winkler MBA on April 8, 2024

Machine Learning - Logistic Regression Algorithm

Exploring Logistic Regression, a key machine learning tool for binary classification, predicting outcomes with precision using a sigmoid function.

Posted by Judith Winkler MBA on March 19th, 2024

Linear Regression Model Application in Business

Linear regression serves as a powerful predictive tool across various fields, enabling professionals to draw insightful correlations between variables for informed decision-making. From optimizing advertising spend to advancing medical treatments and agricultural practices, it plays a crucial role in strategic planning and resource optimization, especially within the construction industry for cost estimation, quality control, and energy efficiency.

Posted by Judith Winkler MBA on February 26th, 2024

Linear Regression Model Application in Business

Linear regression serves as a powerful predictive tool across various fields, enabling professionals to draw insightful correlations between variables for informed decision-making. From optimizing advertising spend to advancing medical treatments and agricultural practices, it plays a crucial role in strategic planning and resource optimization, especially within the construction industry for cost estimation, quality control, and energy efficiency.

Posted by Judith Winkler MBA on February 26th, 2024

Machine Learning - Linear Regression Algorithm

Linear regression is a pivotal machine learning algorithm used for predicting outcomes by analyzing relationships between variables, essential in fields like finance, health, and business planning.

Posted by Judith Winkler MBA on February 14th, 2024

Machine Learning (ML)

ML enables systems to learn from data for decision-making, covering areas like finance, healthcare, and AI, with supervised, unsupervised, and reinforcement learning.

Posted by Judith Winkler MBA on February 10th, 2024

What is data mining?

Data mining, a key Business Intelligence component, analyzes vast data to uncover patterns, aiding in informed decision-making and strategic planning.

Posted by Judith Winkler MBA on February 4th, 2024

What is Data?

In today’s business world, we are constantly hearing about Artificial Intelligence, Machine Learning, Data Science, and Data Analysis, which are all based on Data. Because of that, a question might arise: What is Data?

Posted by Judith Winkler MBA on January 30th, 2024

Data Analysis -Predictive and prescriptive analysis

Step into the future of data-driven decision making.

Posted by Judith Winkler MBA on January 28th, 2024

Data Analysis -Descriptive Analytics

In today's fast-paced business world, the power of data analysis cannot be overstated. According to a study by McKinsey Global Institute, companies embracing data-driven strategies are seeing remarkable gains – 23x more likely to acquire customers, 6x in retaining them, and 19x more likely to be profitable.

Posted by Judith Winkler MBA on January 18th, 2024

Understanding Profit vs Revenue and the Role Data Analytics Can Play

To maximize earnings business owners should deeply understand their business operations, customers, and market trends.

Posted by Judith Winkler MBA on January 3rd, 2024

Supercharge Your Business: Year-End Success with SMART KPIs and Data Insights

SMART GOALS: Specific, Measurable, Achievable, Relevant, Time-bound.

Posted by Judith Winkler MBA on December 27, 2023

How does a company implement Business Intelligence?

Implementing Business Intelligence is like planning a strategic road trip.

Posted by Judith Winkler MBA on December 20, 2023

Different Stages and Methods of Business Intelligence (BI)

BI is a key element in today's business environments. It helps organizations develop new strategies, make informed decisions, and predict company outcomes in different areas. BI can be defined as a different set of methodologies, and technological techniques that transform data into meaningful and useful information to help organizations make informed decisions. The BI cycle steps focus on understanding what data is needed, collecting and analyzing the data and acting according to the results.

Posted by Judith Winkler MBA on December 15, 2023

Understanding business intelligence

Nowadays companies collect and store data from different sources, throughout the web, digital payments, companies’ spreadsheets, etc. Companies make reports from them to analyze the data. As humanity is evolving into an information era, understanding the data is a key asset to generate value for companies. That is why it is very important to understand the value of BI and how to implement it.

Posted by Judith Winkler MBA on December 15, 2023