David Menninger's Analyst Perspectives

JUNE 28, 2022

I’ve never been a fan of talking about semantic models because most of the workforce probably doesn’t understand what they are, or doesn’t recognize them by name. But the findings in our recent Analytics and Data Benchmark Research have changed my mind. Therefore, I owe it to all of you to write about them.

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FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

FineReport

JULY 28, 2021

business intelligence has become two buzzwords that represent some new trends in the scientific and business area. . If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Data Science.

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Smart Data Collective

APRIL 14, 2021

While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive. This eliminates guesswork when coming up with business strategies.

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David Menninger's Analyst Perspectives

MAY 17, 2023

In addition, analytics vendors have been augmenting business intelligence (BI) products with AI. This perspective, the second in a series on generative AI, introduces some of the concepts behind ChatGPT, including large language models and transformers.

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FineReport

JUNE 11, 2021

As companies striving to embrace digital transformation and become data-driven, business intelligence and analytics skills and experience are essential to building a data-savvy team. However, if someone puts you on the spot, can you clearly tell the difference between business intelligence and analytics?

Business Intelligence 52

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Jet Global

NOVEMBER 20, 2023

Over the last few decades, we’ve seen at least three distinct generations of BI technologies introduced to the market: First Generation Products like Crystal Reports, Brio, ProClarity and Siebel Analytics primarily offered thick-client reporting solutions to replace the historically manual production of “paper reports” ubiquitous in every company.

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Smart Data Collective

NOVEMBER 24, 2020

As the use of intelligence technologies is staggering, knowing the latest trends in business intelligence is a must. The market for business intelligence services is expected to reach $33.5 top 5 key platforms that control the future of business intelligence impacts BI may have on your business in the future.

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Jen Stirrup

SEPTEMBER 30, 2021

Azure ML can become a part of the data ecosystem in an organization, but this requires a mindshift from working with Business Intelligence to more advanced analytics. How can we can adopt a mindshift from Business Intelligence to advanced analytics using Azure ML? What are we trying to achieve?

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FineReport

JULY 21, 2021

Want to know more about enterprise business intelligence? Enterprise Business Intelligence Definition. Simply put, enterprise business intelligence refers to business intelligence applications that cater to large companies. Enterprise Business Intelligence. Keep reading!

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CIO Business Intelligence

APRIL 26, 2024

billion acquisition of data and analytics company Neustar in 2021, TransUnion has expanded into other services such as marketing, fraud detection and prevention, and robust analytical services. We’re modernizing existing products to get to this entire data analytics value chain.” But following its $3.1

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Analytics Vidhya

OCTOBER 15, 2019

Overview Qlik is widely associated with powerful dashboards and business intelligence reports Did you know that you can use the power of Qlik to. The post Build your First Linear Regression Model in Qlik Sense appeared first on Analytics Vidhya.

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FineReport

MAY 25, 2023

Recently, Gartner released the 2023 Magic Quadrant for Analytics and Business Intelligence Platforms , which highlights the latest trends in BI development and future market demands. For example, Gartner highlights the integration of analytical platforms with low-code and no-code workflows in the report.

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CIO Business Intelligence

APRIL 9, 2019

Business intelligence (BI) analysts transform data into insights that drive business value.

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David Menninger's Analyst Perspectives

OCTOBER 5, 2021

Alteryx is a data analytics software company that offers data preparation and analytics tools to simplify and automate data wrangling, data cleaning and modeling processes, enabling line-of-business personnel to quickly access, manipulate, analyze and output data.

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FineReport

AUGUST 18, 2020

According to “IDC Semiannual Software Tracker for the Second Half of 2019”, the scale of China’s business intelligence software market reached US$490 million in 2019, with a year-on-year increase of 22.6%. In terms of deployment models, in 2019, traditional deployment models accounted for 82.7% billion U.S.

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Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

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AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. The following diagram illustrates the two delivery models.

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Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 101

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KDnuggets

FEBRUARY 14, 2024

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data.

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Sisense

FEBRUARY 18, 2021

Sadly, many companies are stuck using outmoded analytics that give them static, historical reports that only describe what has already happened and are useless in planning for the future. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

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CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

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Analytics Vidhya

AUGUST 1, 2022

PowerBI is used for Business intelligence. What is equally important here is the ability to communicate the data and insights from your predictive models through reports and dashboards. The post Building your First Power BI Report from Scratch appeared first on Analytics Vidhya. And […].

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FineReport

JULY 26, 2021

Today, almost all businesses are investing more on business intelligence (BI). What is business intelligence strategy? A business intelligence strategy is a framework that enables enterprises to use right BI tools to analyze the right data and then report to the right people to aid making right decisions.

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FineReport

JULY 26, 2021

Today, almost all businesses are investing more on business intelligence (BI). What is business intelligence strategy? A business intelligence strategy is a framework that enables enterprises to use right BI tools to analyze the right data and then report to the right people to aid making right decisions.

Business Intelligence 52

Business Intelligence Strategy Cost-Benefit Data-driven 52

Jedox

APRIL 8, 2021

Business Intelligence (BI) and Enterprise Performance Management (EPM) solutions aim to support effective decision-making. What is Business Intelligence? Models such as the DIKW pyramid (Data, Information, Knowledge, Wisdom) explains the different levels of data processing and its value. in this post.

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CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

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CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

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CIO Business Intelligence

MAY 12, 2022

What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. But there are deeper challenges because predictive analytics software can’t magically anticipate moments when the world shifts gears and the future bears little relationship to the past. Highlights.

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Smart Data Collective

MAY 13, 2022

Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Benefits of AI-driven business analytics.

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Smart Data Collective

SEPTEMBER 13, 2023

It’s time to dig deeper into the nexus of Big Data, Analytics, and Kitcast Digital Signage , the new frontier of business intelligence that’s transforming our interaction with the commercial environment, one digital billboard at a time. This is more than just an HD screen displaying a PowerPoint slideshow.

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David Menninger's Analyst Perspectives

MARCH 15, 2023

Data analytics provide valuable insights and enable organizations to make better decisions, improve performance and gain a competitive advantage in the marketplace. Analytics can change frequently depending on the data being analyzed and the methods used to gather and process it.

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Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Zoho Analytics.

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AWS Big Data

JUNE 2, 2023

My team supports analytics throughout BWH Hotels, including some affiliate and international organizations. Four years ago, we switched to Amazon QuickSight , a fully managed, cloud-native business intelligence (BI) service, and have not looked back. By including analytics, AutoClerk will provide incredible value to customers.

Business Intelligence 52

Business Intelligence Enterprise Dashboards Sales 52

FineReport

JULY 22, 2021

What is business intelligence?. Business Intelligence(BI) is defined as the concept of using modern data warehouse technology, online analysis and processing technology, data mining and data display technology for data analysis to achieve business value. Real-world examples of business intelligence.

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Business Intelligence Sales Marketing Forecasting 52

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

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Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

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