10 Business Intelligence Trends for 2016

Heading into 2016, the business intelligence (BI) landscape is one very much in flux. Big Data, cloud services, predictive analytics, and data science are continually innovating spaces that each feed into BI, constantly changing the role it plays within enterprises ...

IoT And Big Data – The What, Why and What Next

Ok, you’ve heard the terms bandied about - Big Data and IoT. What’s the relation? We’ll tell you. Big Data has literally been the fuel on which Internet of Things (IoT) runs on. The tech sector is catching on fast, ...

Top 13 Big Data Trends and Predictions to watch in 2024

The global big data and analytics market is expected to grow at a CAGR of 14.9% in the forecast period of 2024-2032 to attain USD 1088.06 billion by 2032, according to Expert Market Research. With more than 2.5 quintillion bytes of data being generated ...

Funding trends for IoT big data analytics

As the “Internet of Things” gains momentum, expecting to be fueled and enabled by big data analytics, investors and companies are seeking to expand their holdings across these areas. Kylie Wansink, senior analyst for global markets at analyst firm BuddeCom, said ...

25 Java Machine Learning Tools & Libraries

What is Machine learning? Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications o become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to ...

Microsoft Excel for Web Analytics and Big Data

No one has time to spend ages mining for Excel answers from mountains of text to quickly find and fix Analytics issues. These issues can be something like: Finding and removing duplicate URLs Extracting domain names from the URLs Converting upper case URLs ...

Importance of Big Data Analytics for Business Growth

Until recent years companies have always evaded the question of using data analytics for business execution, leave alone big data. Most of the time it was due to cost of analysis that the organisations kept in mind while keeping away ...

BI Professionals Spend 50-90% of Their Time ‘Cleaning’ Raw Data for Analytics

Last year, the NYT shined a light on big data’s “janitor” problem – that data scientists and business intelligence pros spend too much time cleaning, not evaluating data. But how big of an issue is it, really? Xplenty just wrapped a commissioned study of ...
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