Data Education

Big Data: Replacing the Vs with a Single D – Business Intelligence Article

Click to learn more about author Mathias Golombek. I can remember the first time people started to talk about “Big Data”. It may be a hackneyed phrase today, but some years ago it took the world of BI and analytics by storm. What then ensued was a mad frenzy to come up with a good definition that encapsulated what was meant by the term. Somehow the expression was meant to symbolize more than data that was big. So, cue the…

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Machine Learning for Small Businesses: Unearthing the Revolutionary Potential – Business Intelligence Article

Click to learn more about author Atman Rathod. Like any new technology, Artificial Intelligence (AI) and Machine Learning (ML) remained largely available for the top brass of every industry at the initial stage. But like we have seen with many new technologies and innovations in the past, they are slowly going to be available for others in the long run. Already signs are ripe that AI and ML are going to play a major role in offering a level playing…

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Leveraging Natural Language Processing Within a CDP – Business Intelligence Article

Click to learn more about author Jonathan Lee. In my last column for DATAVERSITY I sought to define the concept of a Customer Data Platform (CDP), noting that a CDP “creates a comprehensive view of each customer by capturing data from multiple systems.” What I didn’t do however, was to delve into a discussion of the data sources a CDP relies on. While a full discussion is outside of the scope of any single article, I’d like to address one…

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Automating Bureaucracy | TDAN.com – Business Intelligence Article

Bureaucracy was known to be the plague of the USSR, but has recently become a heavy burden for private companies. New regulations such as Sarbanes-Oxley, Dodd-Frank, and GDPR, spanning all functions from HR to accounting to product labelling to vendor certifications, are constantly put in place by various states where companies operate. These rules have the major effect of forcing companies to hire people whose job is to check that all operations are compliant with the set of rules in…

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Data Science in 90 Seconds: kNN – Business Intelligence Article

Click to learn more about video blogger Laura Kahn. This is Lesson 11 in the Data Science in 90 Seconds video blog series from host Laura Kahn. The series covers some of the most prominent questions in Data Science such as Supervised and Unsupervised Learning, K-Means Clustering, Naive Bayes, Decision Trees and Random Forests, Ridge Regression, kNN and more. In today’s video blog Laura discusses kNN. This is only a snippet of a Business Intelligence Article written by Laura Kahn Read…

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Case Study: Cornell University Automates Data Warehouse Infrastructure – Business Intelligence Article

Cornell University is a privately endowed research university founded in 1865. Ranked in the top one percent of universities in the world, Cornell is made up of 14 colleges and schools serving roughly 22,000 students. Jeff Christen, data warehousing manager at Cornell University and adjunct faculty in Information Science, and Chris Stewart, VP and general manager, USA at WhereScape, talked with DATAVERSITY® about how Cornell dealt with the end-of-life for the primary product they used to manage their data warehouse.…

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Data Professional Introspective: How to Tackle a Data Quality Strategy – Business Intelligence Article

Everyone talks about the importance of data quality, but no one does anything about it.  Not anything much, that is.  Now, have I offended you?  Are you thinking about thousands of lines of ETL scripts with quality rules?  About the data quality tools your organization has purchased?  About a proof of concept dashboard monitoring a few key applications? Well, that may be the case, but many organizations have implemented data quality improvements at the project level.  However, it is likely…

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Advanced Data Analytics Transform Business – Business Intelligence Article

One of the most powerful resources today is big data. Blindly going after potential customers will not yield any results. To gain that X factor, you need to know where you are going, the reason behind you going there, and the effort that you are willing to put into the journey. A clear vision, strategic planning and approach, and use cases are required to move ahead with the big data discoveries. This is where advanced analytics comes in to give…

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Common Data Analytics Mistakes | TDAN.com – Business Intelligence Article

Data analysis demands a lot of time, attention, and energy – essential resources that, once invested, can never come back. In fact, as a marketer, data analysis expert, or entrepreneur, your job is to effectively leverage those important resources to increase your company’s performance. To improve your analysis results, you’ll need to embrace the fact that you are maybe going to fail, regardless of how well-defined your data analysis plan is. That’s how it works – test, measure, optimize, and…

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