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Remove Your Rose Tinted Glasses: Data Visualizations Designed to Mislead

datapine

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. See these graphs originally published by Cogent Legal. How to Avoid The Pitfalls of Misleading Data.

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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

More generally, low-quality data can impact productivity, bottom line, and overall ROI. No, its ultimate goal is to increase return on investment (ROI) for those business segments that depend upon data. Industry-wide, the positive ROI on quality data is well understood. 2 – Data profiling. Data Quality Management Best Practices.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Foreword for the book. I publish this in its original form in order to capture the essence of my point of view on the power of graph analytics.

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4 Incredible Benefits Of IoT-Based Indoor Mapping

Smart Data Collective

Last year, IoT expert Sameer Srivastava published an article on the use of IoT devices for indoor positioning. The software can also be used to store statistical reports about issues from the maintenance crews, helping tenants and owners to remain on track with the latest data. This is going to increase their ROI tremendously.

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Analyst, Scientist, or Specialist? Choosing Your Data Job Title

Sisense

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

Increase in ROI. In the future of business intelligence, eliminating waste will be easier thanks to better statistics, timely reporting on defects and improved forecasts. Features: interactive tables, graphs, dashboards data publishing access to a broad data range custom analytic applications data storytelling web and mobile.