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Best of Upside's Data Digest

Articles examine data quality, data security (including IoT security), cognitive computing, visual data storytelling, and big data.

• By Quint Turner
• June 23, 2016

Cognitive Computing Increases Big Data Insight
(Source: IT Pro Portal)

The amount of data enterprises can gather every day is staggering, yet understanding the data and then turning it into insight is difficult. This article explores how cognitive computing and semantic algorithms are helping enterprises use big data.

Maximizing Data Quality, Not Quantity
(Source: Information Age)

Having the right data is far more important than having as much data as possible. This article reviews recent survey results that support this idea and gives tips on how to improve your data quality.

Securing IoT from the Ground Up
(Source: Datamation)

As happened in other rapidly growing technology fields, security has been an afterthought for some IoT developers. This article provides tips from specialists about how to secure devices and connections on the Internet of Things.

Visual Data Storytelling: 5 Best Practices
(Source: Dbta)

An effective data visualization facilitates your audience's understanding, but making an effective visualization is difficult. This article offers 5 tips to help refine your data storytelling process.

Avoid Deteriorating Data Quality
(Source: Business 2 Community)

Data quality decays over time unless your enterprise takes preventive measures. This article discusses why many enterprises struggle with data upkeep and how to maintain your data quality.

Keys to Unlock Big Data's Value
(Source: Dbta)

Big data has been around long enough that most large enterprises have big data projects, but it is still not easy to turn big data into insight. This article explains 6 best practices for getting more value out of big data analytics.

Secure Your Big Data
(Source: Kdnuggets)

This article reviews 5 best practices to keep your big data projects and information safe.