Remove 2016 Remove Metrics Remove Visualization
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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

Now that you’re sold on the power of data analytics in addition to data-driven BI, it’s time to take your journey a step further by exploring how to effectively communicate vital metrics and insights in a concise, inspiring, and accessible format through the power of visualization. That’s a colossal number of books on visualization.

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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

“By visualizing information, we turn it into a landscape that you can explore with your eyes. 90% of the information transmitted to the brain is visual. Data visualization methods refer to the creation of graphical representations of information. That’s where data visualization comes in. A sort of information map.

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Migrate from Amazon Kinesis Data Analytics for SQL to Amazon Managed Service for Apache Flink and Amazon Managed Service for Apache Flink Studio

AWS Big Data

Amazon Kinesis Data Analytics for SQL is a data stream processing engine that helps you run your own SQL code against streaming sources to perform time series analytics, feed real-time dashboards, and create real-time metrics. AWS has made the decision to discontinue Kinesis Data Analytics for SQL, effective January 27, 2026.

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The Data Visualization Design Process: A Step-by-Step Guide for Beginners

Depict Data Studio

Visualizing data in charts, graphs, dashboards, and infographics is one of the most powerful strategies for getting your numbers out of your spreadsheets and into real-world conversations. But it can be overwhelming to get started with data visualization. If so, this step-by-step data visualization guide is for you!

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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. The Customer Journey visually represents the total sum of experiences any given customer has with a brand. Why should I care?

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13 Analytics & Business Intelligence Examples Illustrating The Value of BI

datapine

billion , growing at a CAGR of 26.98% from 2016. They decided to implement business intelligence into their operations to be able to monitor real-time data, ensure employees have access to marketing and sales analytics and use a dashboard builder to visualize all their business information. 6) Streaming Internal Processes.

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Data Analytics Helps Marketers Make the Most of Instagram Stories

Smart Data Collective

The most important thing to do at the beginning is to know which metrics to focus on. Instagram introduced stories in 2016 , and till then, it has become a fantastic marketing tool. Here are a few examples of how stories encourage comments: IG stories are visually appealing and easy to consume. It is crucial for Stories.

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