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Top Data Science Tools That Will Empower Your Data Exploration Processes

datapine

The use of machine learning, predictive analytics, and various data connectors that enable the user to work with enormous amounts of databases, flat files, marketing analytics, CRM, etc., The example above shows us a visual of the drag and drop interface created in datapine for a 6 months forecast based on past and current data.

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Master Data Visualization Techniques: A Comprehensive Guide

FineReport

Applications in Various Fields In Business , data visualization is used for sales analysis , market forecasting, and performance KPI tracking. In marketing analytics, bar charts are employed to illustrate sales performance across various product categories, providing a clear visual representation of market trends.

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Join me at Live! 360 Orlando to learn more about Applied Business Analytics

Jen Stirrup

In this session, we will look at common marketing scenarios for analytics, and how they can be implemented with the Microsoft Data Platform. Analytics for Sales – what numbers do they need on a sales dashboard, why, and what do they say? Power BI and Marketing Data. What kind of applicable analytics will we cover?

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How Data Analytics Can Change the Way In-House Legal Departments Do Business 

Smart Data Collective

What is Legal Analytics? Legal analytics is the process of implementing data into your decision-making on topics affecting legal forms and attorneys, like legal strategy, a matter of forecasting, and resource management. Increased Marketing Potential. Improved Insurance Claim Processing.

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Ontotext’s Perspective on an Energy Knowledge Graph

Ontotext

In compliance with the EU market transparency regulation (( Regulation EU No 5 43/2013 of 14 June 2013 on submission and publication of data in electricity markets ), ENTSO-E is doing a great job of collecting electricity market data (generation, transmission, consumption, balancing, congestion, outages, etc.) c and 14.2.c.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

Remember, it’s not about how many records were cleaned up or how many dashboards were generated, it’s about how much of an impact on the outcome the worm of D&A has that counts. Yes, prescriptive and predictive analytics remain very popular with clients. For more accurate decision making, forecast and predictions are needed.