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Quality Control Tips for Data Collection with Drone Surveying

Smart Data Collective

Here at Smart Data Collective, we never cease to be amazed about the advances in data analytics. We have been publishing content on data analytics since 2008, but surprising new discoveries in big data are still made every year. One of the biggest trends shaping the future of data analytics is drone surveying.

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Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis

DataKitchen

Navigating the Storm: How Data Engineering Teams Can Overcome a Data Quality Crisis Ah, the data quality crisis. It’s that moment when your carefully crafted data pipelines start spewing out numbers that make as much sense as a cat trying to bark. You’ve got yourself a recipe for data disaster.

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The unreasonable importance of data preparation

O'Reilly on Data

Beyond the autonomous driving example described, the “garbage in” side of the equation can take many forms—for example, incorrectly entered data, poorly packaged data, and data collected incorrectly, more of which we’ll address below. The model and the data specification become more important than the code.

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Why Data Driven Decision Making is Your Path To Business Success

datapine

3) Gather data now. Gathering the right data is as crucial as asking the right questions. For smaller businesses or start-ups, data collection should begin on day one. Once it is identified, check if you already have this data collected internally, or if you need to set up a way to collect it or acquire it externally.

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Alation State of Data Culture Report: Bad Data Spells Trouble for AI

Alation

The third installment of the quarterly Alation State of Data Culture Report was recently released, highlighting the data challenges enterprises face as they continue investing in artificial intelligence (AI). AI fails when it’s fed bad data, resulting in inaccurate or unfair results. Subscribe to Alation's Blog.

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Dear Avinash: Attribution Modeling, Org Culture, Deeper Analysis

Occam's Razor

The questions reveal a bunch of things we used to worry about, and continue to, like data quality and creating data driven cultures. Yehoshua I've covered this topic in detail in this blog post: Multi-Channel Attribution: Definitions, Models and a Reality Check. EU Cookies!) Inaccuracy benchmarks).

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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog. Make Enough Hires.