Data Science Blog

JULY 23, 2023

Companies use Business Intelligence (BI), Data Science , and Process Mining to leverage data for better decision-making, improve operational efficiency, and gain a competitive edge. Data Mesh on Azure Cloud with Databricks and Delta Lake for Applications of Business Intelligence, Data Science and Process Mining.

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Dataconomy

MAY 10, 2023

Open source business intelligence software is a game-changer in the world of data analysis and decision-making. It has revolutionized the way businesses approach data analytics by providing cost-effective and customizable solutions that are tailored to specific business needs.

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IBM Journey to AI blog

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software.

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Data Science Dojo

JUNE 21, 2023

And it’s not just about retrospective analysis; predictive analytics can forecast future trends, helping businesses stay one step ahead. Google Analytics : It provides insights into website traffic, user behaviors, and the performance of online marketing campaigns. Quite incredible, wouldn’t you say?

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Data Analysis Data Analysis Predictive Analytics Analytics 366

Dataconomy

MARCH 17, 2025

Predictive modeling is a mathematical process that focuses on utilizing historical and current data to predict future outcomes. By identifying patterns within the data, it helps organizations anticipate trends or events, making it a vital component of predictive analytics.

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Decision Trees Predictive Analytics Data Preparation Machine Learning 91

The Data Administration Newsletter

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

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Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. These tools transform raw data into actionable insights, enabling businesses to make informed decisions, improve operational efficiency, and adapt to market trends effectively.

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Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. By implementing a robust BI architecture, businesses can make informed decisions, optimize operations, and gain a competitive edge in their industries. What is Business Intelligence Architecture?

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Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. The time spent on analysis can affect daily business decisions and strategic actions.

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Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. For analysis the way of Business Intelligence this normalized data model can already be used.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Dataversity

SEPTEMBER 26, 2022

Typical business intelligence implementations allow business users to easily consume data specific to their goals and daily tasks. The post 3 Common Challenges with Business Intelligence Implementations appeared first on DATAVERSITY.

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Business Intelligence Business Intelligence Predictive Analytics Data Visualization 52

Dataconomy

DECEMBER 17, 2024

By harnessing the power of business intelligence, companies can uncover valuable insights into customer behaviors and market trends, enabling more precise and effective decision-making. Unique data applications can revolutionize business operations.

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Data Analysis Data Analysis Analytics Analytics 91

DataRobot Blog

NOVEMBER 8, 2022

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Machine Learning and AI Fuel Media Governance, Performance Success, and Analytics. As mentioned above, understanding performance should be ingrained in all parts of the marketing value chain.

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Data Science Dojo

AUGUST 15, 2023

If you want to get started with Data Science as a career, get yourself enrolled in Data Science Dojo’s Data Science Bootcamp.

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Dataconomy

SEPTEMBER 4, 2023

Data models help visualize and organize data, processing applications handle large datasets efficiently, and analytics models aid in understanding complex data sets, laying the foundation for business intelligence. It’s particularly valuable for forecasting demand, identifying potential risks, and optimizing processes.

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Smart Data Collective

OCTOBER 25, 2023

One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. The market for business intelligence technology is projected to exceed $35 billion by 2028. What is Business Intelligence? Many companies are following her direction.

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Defined.ai blog

AUGUST 10, 2023

From voice assistants like Siri and Alexa, which are now being trained with industry-specific vocabulary and localized dialogue data , to more complex technologies like predictive analytics and autonomous vehicles, AI is everywhere. The post Financial Data & AI: The Future of Business Intelligence appeared first on Defined.ai.

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Data Science Blog

FEBRUARY 4, 2023

The fusion of data in a central platform enables smooth analysis to optimize processes and increase business efficiency in the world of Industry 4.0 using methods from business intelligence , process mining and data science.

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Smart Data Collective

MAY 20, 2019

Basic Business Intelligence Experience is a Must. Communication happens to be a critical soft skill of business intelligence. The successful analysts of today and tomorrow must have a solid foundation in business intelligence too. But it’s not the only skill necessary to thrive.

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Pickl AI

NOVEMBER 22, 2024

Supports predictive analytics to anticipate market trends and behaviours. Microsoft Power BI Power BI is a business analytics service by Microsoft that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.

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Data Visualization Big Data Big Data Power BI 52

IBM Journey to AI blog

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. GenAI can pull themes from feedback from lost customers to illuminate trends, suggest new sales strategies, and arm sales teams with business intelligence and pre-scripted follow-ups.

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Smart Data Collective

JUNE 16, 2022

Predictive analytics have an unquestionable influence on drawing patterns around consumer behavior and their likelihood to either re-subscribe or discontinue the service. Extract Value From Customer.

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Analytics Analytics Predictive Analytics Big Data 135

Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine. Data scientist, data analyst, machine learning engineer, business intelligence analyst.

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Computer Science Computer Science Data Science Machine Learning 195

Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine. Data scientist, data analyst, machine learning engineer, business intelligence analyst.

Computer Science 195

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DataRobot

JANUARY 20, 2022

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities.

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Ocean Protocol

SEPTEMBER 29, 2023

AI / ML offers tools to give a competitive edge in predictive analytics, business intelligence, and performance metrics. In the link above, you will find great detail in data visualization, script explanation, use of neural networks, and several different iterations of predictive analytics for each category of NFL player.

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Cross Validation Predictive Analytics Exploratory Data Analysis EDA 59

Dataversity

JANUARY 11, 2021

Now, AI is empowering machine learning to be democratized to reach more users, allowing them to make the business intelligence-driven decisions that could transform […]. Traditionally, machine learning tools were only available to enterprises with the necessary budget and expertise.

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Machine Learning Machine Learning Business Intelligence Business Intelligence 59

IBM Journey to AI blog

JUNE 29, 2023

Advanced analytics and business intelligence tools are utilized to analyze and interpret the data, uncovering insights and trends that drive informed decision-making. Implementing advanced analytics and business intelligence tools can further enhance data analysis and decision-making capabilities.

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Analytics Analytics Business Intelligence Business Intelligence 94

Pickl AI

JUNE 25, 2023

Predictive Analytics Predictive analytics involves the use of historical data, statistical algorithms, and machine learning techniques to forecast future outcomes or trends. With predictive analytics, organizations can proactively identify opportunities, mitigate risks, and optimize their strategies.

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Analytics Analytics Predictive Analytics Machine Learning 52

IBM Journey to AI blog

SEPTEMBER 19, 2023

Data analytics is a task that resides under the data science umbrella and is done to query, interpret and visualize datasets. Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes.

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Data Science Analytics Analytics Data Scientist 94

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. billion in 2015 and reached around $26.50

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Smart Data Collective

AUGUST 10, 2021

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. Do you find storing and managing a large quantity of data to be a difficult task?

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Dataconomy

SEPTEMBER 16, 2024

This skill also integrates well with other technical domains like web development and business intelligence. Predictive analytics modules built using SQL provide actionable insights, enhancing user experience and boosting sales figures. Writing efficient queries requires logical thinking and planning.

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Data Science Dojo

AUGUST 16, 2024

Applications : Business Intelligence : Power BI’s Copilot is especially valuable for business users who need to quickly derive insights from data without having extensive technical knowledge. It democratizes access to data analytics across an organization.

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IBM Journey to AI blog

JULY 24, 2023

IT operations analytics (ITOA) vs. observability ITOA and observability share a common goal of using IT operations data to track and analyze how a system is performing to improve operational efficiency and effectiveness. Predictive analytics helps to optimize IT operations by intervening before an incident happens.

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Analytics Analytics Predictive Analytics Big Data 69