Remove Article Remove Descriptive Analytics Remove Machine Learning Remove Predictive Analytics
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What Is The Difference Between Business Intelligence And Analytics?

datapine

Try our professional BI and analytics software for 14 days free! In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Your Chance: Want to extract the maximum potential out of your data?

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Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language.

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Disrupt and Innovate in a Data-Driven World

Cloudera

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. In the nonprofit sector, early applications of data analytics and machine learning have mostly focused on improving fundraising and marketing.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Business intelligence can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was. Experts say that BI and data analytics makes the decision-making process 5x times faster for businesses. 5) Find improvement opportunities through predictions.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Crafting compelling job descriptions and offering competitive salaries are imperative in attracting top talent. This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. Descriptive analytics: Assessing historical trends, such as sales and revenue.

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Using IBM Watson to Answer Two Important Questions about your Customers

Business Over Broadway

IBM is using the power of its Watson Studio platform to extend the power of AI to people who fall outside the realm of data science, machine learning and AI experts. IBM Watson Studio is an end-to-end analytics solution to help you gain insights from your data. The first step is to load the data into Watson Studio.

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Themes and Conferences per Pacoid, Episode 10

Domino Data Lab

Note that there’s not enough room in an article to cover these presentations adequately so I’ll highlight the keynotes plus a few of my favorites. Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams.