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Most Frequently Asked Data Warehouse Interview Questions

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Organizations are turning to cloud-based technology for efficient data collecting, reporting, and analysis in today’s fast-changing business environment. Data and analytics have become critical for firms to remain competitive.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. BI software will gauge internal data on performance, sales and marketing, social media and other sources to build actionable recommendations for your business.

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What you need to know about product management for AI

O'Reilly on Data

You might establish a baseline by replicating collaborative filtering models published by teams that built recommenders for MovieLens, Netflix, and Amazon. It may even be faster to launch this new recommender system, because the Disney data team has access to published research describing what worked for other teams.

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Google Analytics Tutorial: 8 Valuable Tips To Hustle With Data!

Occam's Razor

Create a Customized Dashboard – Earn Love, Drive Change. #2. Leverage Custom Alerts – Let Data Kick Your Butt Into Action. #3. Create a Customized Dashboard – Earn Love, Drive Change! Who does not love dashboards? Then click on Dashboards, and what do you see? New Dashboard. Humans love them.

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Reporting Solutions: A Complete Guide

FineReport

Besides, reporting solutions support managers put together a picture of the relevant data and discover business insides. For most companies, the staffs spend 50% time on data collection, 30% time on checking and approving the data, 15% time on developing and publishing the reports, and 5% on business analysis.

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Top 10 Key Features of BI Tools in 2020

FineReport

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process. Step 4: Query.