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A Brief History of Data Visualization

Jet Global

Editors note: This blog was originally published in October 2013, and has been completely revamped and updated for accuracy, relevancy, and comprehensiveness in September 2019 Prior to the 17th century, data visualization existed mainly in the realm of maps, displaying land markers, cities, roads, and resources.

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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. Now dashboards are in. Give up on PowerPoint.

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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

5) How Do You Measure Data Quality? In this article, we will detail everything which is at stake when we talk about DQM: why it is essential, how to measure data quality, the pillars of good quality management, and some data quality control techniques. How Do You Measure Data Quality? Table of Contents. 2) Why Do You Need DQM?

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A Guide To Performing Successful Content Reporting Using Modern Dashboards

datapine

2) What Is A Content Dashboard? 4) Content Dashboards Examples. That said, measuring the success of your those efforts is another great part of the job, and on many occasions, it can prove to be overwhelming as you need to use multiple tools to gather the data. What Is A Content Dashboard? Table of Contents.

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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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Email Marketers Use Data Analytics for Optimal Customer Segmentation

Smart Data Collective

Like any other marketing strategy, you must measure email performance. Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. Digital workers measure almost anything they choose.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

A sample from the parsed data is displayed before ingestion starts: Schema on read and statistics per field are automatically detected and presented to the user: Step 2: Define stateful transformations. The impact of implementing these best practices is faster queries that will power Redshift and dashboards in Sisense. Step 4: Query.