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Faster data exploration in Jupyter through Lux

Domino Data Lab

Lux also supports specifying particular intent and then further slice, dice and filter charts to find one that best suits the problem you’re working on. Filter lets you set a range on a particular attribute while generalize lets you remove attributes from the established intent – meaning you can perform other slice and dice analysis.

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In Times of Rapid Change, Business Process Modeling Becomes a Critical Tool

erwin

With the help of business process modeling (BPM) organizations can visualize processes and all the associated information identifying the areas ripe for innovation, improvement or reorganization. Bringing IT and Business Together to Make More Informed Decisions. BPM for Regulatory Compliance.

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6 Principles to Make your Data Story Stick

Juice Analytics

Check it out… S imple Strip an idea down to its core Old-school dashboards have a prime directive: show all the information on one page. Data visualizations are automatically connected together, so slicing-and-dicing is de-facto. Just as a complex idea won’t stick, too much data also tends to overwhelm your audience.

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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. They enable you to easily visualize your data, filter on-demand, and slice and dice your data to dig deeper. That’s why we welcome you to the world of interactive dashboards.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

In the Age of Information, forward-thinking organizations are reaching exciting new levels by leveraging the capabilities of innovative new business intelligence (BI) solutions. They need to make quick and informed decisions. With data spread across multiple systems, getting the information you need can be an arduous task.

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Sisense Q4 2020: Analytics for Every User With AI-Powered Insights

Sisense

Often, to find those types of insights, you slice, dice, and filter. These kinds of round-the-clock decisions require the most up-to-date information, which can only be surfaced with the aid of real-time data. For every query, Sisense translates live widget information into SQL data.

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The How-To Guide for Cleaning and Preparing Data for Analysis

Juice Analytics

Columns , then, are the descriptive information about each of the rows. Consider deleting these columns because they don’t provide useful information for analysis. A column of data can have many types of problems: data formats, extraneous information, missing information. Or activity for a product for a given day.