Remove Data Modelling Remove Embedded Analytics Remove Planning
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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. . Theme: Analytics for everyone.

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Staff picks for Tableau Conference 2022 sessions

Tableau

Your calendar will fill up quickly, so we recommend planning ahead to make the most of your conference experience, whether you’re attending in person in Vegas or virtually from anywhere. . Look for sessions on the Tableau Exchange , the Tableau Developer Platform , and Embedded Analytics. . Theme: Analytics for everyone.

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Adding AI to Products: A High-Level Guide for Product Managers

Sisense

Specifically, use an affinity diagram to prioritize and plan the minimum viable product (MVP). When building your data model, it’s vital to avoid both underfitting and overfitting. Learn the customer’s expectations. Points to remember: Understand the customer problems you want to solve: What are the social and emotional aspects?

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Experimenting to Win with Data

Sisense

The key to coming up with the best insights lies in delving deeply into both questions; the answers you discover can help you get even more out of your data. Determining data goals, making a plan. Applying data to goals. After engaging end users about their goals, it’s time to shape data models based on their responses.

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Use Embedded Analytics to Modernize Workflows

Sisense

Bringing all the data together in one place is vital, but even the most groundbreaking insights are worthless if people won’t actually use the analytics you’ve built for them. and create accurate forecasts they can use to plan for the future. Actionable intelligence empowers users. and “Why did it happen?” What should we do?”

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Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

By up-leveling the platform’s embedded analytics solution with Sisense and Google BigQuery, both internal teams and Trax customers are seeing benefits in query performance and ease of use. The future is bright.