Data Science
BI Governance: 6 Implementation Best Practices in 2024
The global business intelligence market is projected to be $33.3B by 2025, with more business units adopting BI tools. The importance of business intelligence is increasing. Data-driven decision making, for instance, is five times faster via data access and data analytics.
Data Mining: What is it & Why do businesses need it in 2024?
The total volume of data created worldwide is expected to reach 149 zettabytes by 2045.
How to Apply Data Mining in Business Analytics in '24
Data mining is the process of finding patterns in order to predict outcomes in big data. Companies use data mining techniques to turn raw data into beneficial information to increase revenues, reduce costs, enhance customer relationships, and decrease risks. Today, 90% of businesses consider big data and analytics as a key to their organization’s digital transformation.
How to Pair Data Mining & Business Intelligence in '24?
Companies reported that they spent $187 billion on big data analytics in 2019. Big data analytics which is also called data mining is critical for business intelligence since businesses are relying on increasing levels of data. Data mining helps businesses prepare data for BI by identifying anomalies, root causes and predicting events.
Pytorch Lightning in '24: What's new, benefits & key features
Today, almost everyone is aware of the power of data and how useful it can be to use data to solve various problems. However, not everyone can use data efficiently to drive beneficial insights.
Top 50 Big Data Statistics in '24: Market Size & Benefits
The driving force behind big data is quantification of information. In the past, you would just go for a morning jog. Today, you know it was 7.6km long, you took 11,341 steps and burned 612 calories because of it.
Data Science Competition: What it is & How it works 2024
Are you a data scientist who is looking for real-world data science problems to sharpen your skills? Or maybe your organization has hard to solve data science problems while your data science team is busy with other projects. For either case, a data science competition platform can help.
Citizen Data Scientists: 4 ways to democratize data science [2024]
Analytics vendors and non-technical employees are democratizing data science. Organizations are looking at converting non-technical employees into data scientists so that they can combine their domain expertise with data science technology to solve business problems. What does citizen data scientist mean? Citizen data science is a term initiated by Gartner.
Machine Learning Accuracy: True-False Positive/Negative [2024]
There are various theoretical approaches to measuring accuracy* of competing machine learning models however, in most commercial applications, you simply need to assign a business value to 4 types of results: true positives, true negatives, false positives and false negatives.
The Ultimate Guide to Top 10 Data Science Tools in 2024
Growing interest in data science has driven a growth in data science tools development. There are 2 classes of data science tools emerging: Learn the most popular data science tools for techies Becoming data scientist is hard. In any hard task, focus is critical.