Remove Dashboards Remove Data Collection Remove Information Remove Slice and Dice
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Move Beyond Excel, PowerPoint And Static Business Reporting with Powerful Interactive Dashboards

datapine

Soon businesses of all sizes will have so much amount of information that dashboard software will be the most invaluable resource a company can have. Visualizing the data and interacting on a single screen is no longer a luxury but a business necessity. That’s why we welcome you to the world of interactive dashboards.

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Experimenting to Win with Data

Sisense

So that’s what we start with,” continues Vincent, “and then we [add] all these data collection methodologies that will gather that information needed to make those insights.”. Multiple methods to collect maximum data. According to Vincent, there’s important work to do with the data after it’s collected.

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What AI Means to a Retailer Dedicated to Customer Experience

Birst BI

When the data sets are large, with numerous attributes, users spend a lot of time slicing and dicing for newer insights or apply their original hypotheses to a subset of data. Figure 1: Specialty’s Café and Bakery — Catering Sales Dashboard using Birst Networked BI and Analytics Platform.

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The Complete Digital Analytics Ecosystem: How To Win Big

Occam's Razor

In order for you to really truly understand what is happening to your business, your customers and the yummy business outcomes, you need to be able to segment the data. You need to slice! You need to dice! Repeat after me: Slice, dice, drill!! Checking data collection quality etc. You need to drill!

Analytics 150
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What Is Embedded Analytics?

Jet Global

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

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Web Analytics 101: Definitions: Goals, Metrics, KPIs, Dimensions, Targets

Occam's Razor

90% of the failures in web analytics, the reasons companies are data rich and information poor, is because they don't have DUMB objectives. You'll be information poor. The source that someone came from (referring urls, campaigns, countries etc) is a dimension in your web analytics data. Understandable.

Metrics 138
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Ten Hidden Gems In Google Analytics: Do Smarter Web Data Analysis!

Occam's Razor

If you are a content site, this means the ability to slice and dice your data by author names, content type, subscribers and free-loaders, commentators and non-commentators, and so much more to bring a new layer of insights. It seems to show the same information as the above two reports. A small word of warning.

Analytics 155