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

Sisense

Data doesn’t yell, “Your sales increased by 10% last month because an influx of men aged 18-24 in Seattle bought more beard-trimming kits without any promotion.”. Often, to find those types of insights, you slice, dice, and filter. Looking at a chart, it can be difficult to uncover actionable insights.

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Analyzing Data from Multiple Sources: The Key to More Powerful Insights

Sisense

Read on to find out how Measuremen optimizes workspace utilization, Skullcandy minimizes product returns, and Air Canada improves airline safety. Measuremen: Optimizing facilities use with data from numerous sources. Additional data sources increase your chances to inform actions, fueling top-line and bottom-line growth.

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Trakstar unlocks new analytical opportunities for its HR customers with Amazon QuickSight

AWS Big Data

Because QuickSight is fully managed and serverless, we were able to focus on building value for customers and develop an embedded dashboard delivery solution to support all three products, rather than focusing on managing and optimizing infrastructure. The power of QuickSight lets our customers slice and dice the data in different ways.

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Common Business Intelligence Challenges Facing Entrepreneurs

datapine

These benefits include cost efficiency, the optimization of inventory levels, the reduction of information waste, enhanced marketing communications, and better internal communication – among a host of other business-boosting improvements. Consult with key stakeholders, including IT, finance, marketing, sales, and operations.

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It's Not The Ink, It's The Think: 6 Effective Data Visualization Strategies

Occam's Razor

Too many bars, inside them too many slices, odd color choices, all end up with this question: what the heck's going on here? It also forces a lot less think than might be optimal. What you want to do instead is to do all the slicing, dicing, segmentation, beautiful math, and then step above it. Interesting trend.

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Blending Art and Science: Using Data to Forecast and Manage Your Sales Pipeline

Sisense

Nowadays, sales is both science and art. Best practice blends the application of advanced data models with the experience, intuition and knowledge of sales management, to deeply understand the sales pipeline. Why sales and analysts should work together. Why sales and analysts should work together.

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What is OLAP?

Jedox

The result of this relationship are quantifiable values, such as the sales revenue or the amount purchased, which are stored, so to speak, at the coordinate that can now be exactly determined (data point). The multidimensional approach to data storage allows you to quickly create ad hoc reports, for example by slicing the cube.

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