Analysts Corner

AUGUST 20, 2023

Data: The Foundation of Insight Data is at the core of business analytics, representing the raw facts and figures collected from various sources. Example: Customer Purchase Data An online retailer gathers data on customer purchases, including what products were bought, when they were bought, the price, and the location of the buyer.

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Astera

OCTOBER 30, 2024

If you’re working in the data space today, you must have felt the wave of artificial intelligence (AI) innovation reshaping how we manage and access information. They’ve evolved dramatically into powerful, intelligent systems capable of understanding data on a much deeper level.

Data Discovery 52

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Tableau

JUNE 22, 2021

Until now, using artificial intelligence (AI), machine learning (ML), and other statistical methods to solve business problems was mostly the domain of data scientists. Business scenarios that benefit from predictive analytics. There are several business scenarios where predictive capabilities can be immensely useful.

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Data Pine

NOVEMBER 19, 2019

Artificial Intelligence (AI). Already in our shortlist of tech buzzwords 2019, artificial intelligence is on the front scene for next year again. An important part of artificial intelligence comprises machine learning, and more specifically deep learning – that trend promises more powerful and fast machine learning.

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Cprime

APRIL 11, 2025

Predictive analytics reduce downtime by identifying potential failures, suggesting corrective actions, and improving resource allocation across departments. This model enhances the human element, equipping decision-makers with live intelligence and scalable execution.

Supply Chain 52

Supply Chain Portfolio Management Cybersecurity Logistics 52

Domo

NOVEMBER 17, 2021

You discover what Gartner calls decision intelligence , which enables your teams to take definitive action that leads to optimal business outcomes. Taking intelligent action on your data. HR departments can use intelligent apps to track potential employees through the application, interview, and hiring process.

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Pharmaceutical Artificial Intelligence Retail Business Intelligence 95

GAVS Technology

SEPTEMBER 14, 2021

Industries like retail or e-commerce largely depend on strong customer relationships and constantly work towards improving engagement with their clients. Retail and e-commerce companies are among the most popular businesses that are relying on AIOps platforms. How can retail and e-commerce platforms make use of AIOps?

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Data Pine

JULY 1, 2020

Retail: Ad hoc data analysis proves particularly effective in loss prevention in the retail sector. In retail, it’s important to regularly track the sales volumes in order to optimize the overall performance of the online shop or physical stores. Artificial intelligence features.

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Data Pine

DECEMBER 4, 2019

Share the essential business intelligence buzzwords among your team! Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? 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.

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The BAWorld

NOVEMBER 24, 2023

Examines several datasets to determine root causes: Examining various datasets to acquire a complete picture of what transpired is common in diagnostic analytics. A retailer, for example, can examine sales data, customer feedback, and marketing campaign data to determine why sales fell in a specific month.

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Argon Digital

JUNE 27, 2023

Technologies such as artificial intelligence (AI), machine learning (ML), robotic process automation (RPA), and natural language processing (NLP) are revolutionizing automation capabilities. Retail businesses leverage automation for inventory management and personalized customer interactions.

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Logistics Supply Chain Customer Experience Customer Experience 52

Data Pine

JANUARY 21, 2020

Reporting in business intelligence is a seamless process since historical data is also provided within an online reporting tool that can process and generate all the business information needed. Reporting in business intelligence is, therefore, highlighted from multiple angles that can provide insights that can otherwise stay overlooked.

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Data Pine

MARCH 25, 2022

On the other hand, BA is concerned with more advanced applications such as predictive analytics and statistic modeling. By using Business Intelligence and Analytics (ABI) tools, companies can extract the full potential out of their analytical efforts and make improved decisions based on facts.

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Astera

AUGUST 3, 2023

In recent years, EDI’s evolution has been propelled by the advent of advanced technologies like artificial intelligence, cloud computing, and blockchain, as well as changing business requirements, including real-time data access, enhanced security, and improved operational efficiency.

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Business Bullet

DECEMBER 31, 2021

Technology progression means there are new ways of doing things with more opportunities for automation and use of artificial intelligence. Technology and data is now available to enable predictive analytics to design great customer experiences (McKinsey & Company. References. Statista Research Department.

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Planning Artificial Intelligence Predictive Analytics Retail 52

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

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Cprime

JANUARY 30, 2024

Artificial Intelligence (AI) is reshaping healthcare, promising transformative changes across diagnostics, treatment, and operational efficiency. AI-Enhanced Diagnostics in Healthcare Artificial Intelligence is significantly transforming the field of diagnostics in healthcare.

Healthcare 52

Healthcare Innovation Artificial Intelligence Cybersecurity 52

Data Pine

MAY 9, 2019

Put simply: Business intelligence is the process of discovering valuable trends or patterns in data to make more efficient, accurate decisions related to your business goals, aims, and strategies. As pattern recognition is a decisive part of BI, artificial intelligence in business intelligence plays a pivotal role in the process.

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Cprime

FEBRUARY 22, 2024

Drawing from the insights shared in the Forbes article and the capabilities of modern support solutions, here are key principles that underpin agile customer support: Automation, Bots, AI, and Analytics for Efficiency Automation and artificial intelligence (AI) are at the heart of agile customer support.

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Astera

MAY 4, 2023

As a result, models become more robust against noise and outliers , leading to more accurate predictions and better decision-making outcomes for businesses. AI-Powered Predictive Analytics AI-powered predictive analytics is transforming how businesses operate by providing unparalleled insights and predictions.

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Data Pine

MARCH 31, 2022

For example, you could be the one to extract actionable insights from specific retail KPIs that need to be visualized and presented during a meeting. It allows its users to extract actionable insights from their data in real-time with the help of predictive analytics and artificial intelligence technologies.

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Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

AUGUST 5, 2024

Moreover, business data analytics enables companies to personalize marketing strategies and refine product offerings based on customer preferences, fostering stronger customer relationships and loyalty. There are many types of business analytics.

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Supply Chain Logistics Visualization Predictive Analytics 40

Astera

JUNE 13, 2023

This enables organizations to develop predictive analytics, automate processes, and unlock the power of artificial intelligence to drive their business forward. Business Intelligence Data pipelines support the extraction and transformation of data to generate meaningful insights.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

The BAWorld

NOVEMBER 22, 2021

Machine Learning is a branch of artificial intelligence based on the idea that systems/models can learn from data, identify patterns, and make decisions with minimal human intervention. Predictive Analytics. Predictive Analytics analyzes past trends in data to provide future insights. for accurate analysis.

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Astera

MAY 31, 2024

While it can involve predictive analytics to forecast future trends, its primary goal is to understand what happened and why. On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Marutitech

DECEMBER 17, 2021

You leave for work early, based on the rush-hour traffic you have encountered for the past years, is predictive analytics. Financial forecasting to predict the price of a commodity is a form of predictive analytics. Simply put, predictive analytics is predicting future events and behavior using old data.

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Insight Software

JULY 17, 2023

Predictive analytics is a branch of analytics that uses historical data, machine learning, and Artificial Intelligence (AI) to help users act preemptively. Predictive analytics answers this question: “What is most likely to happen based on my current data, and what can I do to change that outcome?”

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Data Pine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. The author, Anil Maheshwari, Ph.D., Stein Kretsinger, founding executive, Advertising.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

Insight Software

MAY 1, 2023

The Business Services group leads in the usage of analytics at 19.5 Retail and Wholesale are the next that are best represented. The Hitchhiker’s Guide to Embedded Analytics Download Now Section 2: Embedded Analytics: No Longer a Want but a Need Find out how major shifts in technology are driving the need for embedded analytics.

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CMW Lab Blog

MARCH 21, 2025

Artificial Intelligence (AI): AI provides the cognitive abilities that allow IA to handle more complex scenarios. Gartner predicts that by 2025, hyperautomation technologies will facilitate an ancillary 30% efficiency increase. Intelligent Document Processing or IDP is also growing thanks to NLP and OCR.

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Supply Chain Documentation Healthcare Vision 52

GlowTouch

JULY 6, 2021

Predictive analysis helps avoid shortages In a data-driven world, there are few excuses for the inability to anticipate potential situations. For most industries, predictive analytics is a strategic tool for preventing shortages of vital materials or facilitating responses to changing market demands.

Healthcare 52

Healthcare Supply Chain Innovation Artificial Intelligence 52