datapine
MAY 9, 2019
This concept is known as business intelligence. Business intelligence, or “BI” for short, is becoming increasingly prevalent across industries each year. But with business intelligence concepts comes a great deal of confusion, and ultimately – unnecessary industry jargon. Learn here! But more on that later.
Jen Stirrup
JANUARY 2, 2020
I conducted a workshop in Florida recently, aimed at helping people to move from Business Intelligence to Analytics. I have added some guidelines for using Power BI with marketing and sales data. Introduction to Microsoft Data Platform Analytics. Part 1 – Introduction to Microsoft Data Platform Analytics.
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datapine
AUGUST 14, 2019
Companies surely need data scientists to help them empower their analytics processes, build a numbers-based strategy that will boost their bottom line, and ensure that enormous amounts of data are translated into actionable insights. But being an inquisitive Sherlock Holmes of data is no easy task. Source: RStudio. BI Tools And Applications.
datapine
FEBRUARY 17, 2023
3) The Link Between White Label BI & Embedded Analytics 4) An Embedded BI Workflow Example 5) White Labeled Embedded BI Examples In the modern world of business, data holds the key to success. That said, data and analytics are only valuable if you know how to use them to your advantage.
Jen Stirrup
SEPTEMBER 19, 2019
360 Orlando and I’m presenting a workshop on From Business Intelligence to Business Analytics with the Microsoft Data Platform. Data becomes relevant for decision making when we start to use it properly, so this workshop will demonstrate the use of analytics for real-life use cases.
Sisense
JANUARY 22, 2021
Businesses of all kinds today are dependent on such actionable insights, ideally infused into workflows , driving better business outcomes without users having to leave their primary tasks to look for answers in the data. Actionable insights: The core of business intelligence.
David Menninger's Analyst Perspectives
FEBRUARY 8, 2021
The industry is making huge strides with artificial intelligence (AI) and machine learning (ML). Analytics vendors have made it easier to build and deploy models, and AI/ML is being embedded into many types of applications. There is more data available to analyze.
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