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. The integration of these technologies helps companies harness data for growth and efficiency.

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Smart Data Collective

OCTOBER 27, 2021

An interactive analytics application gives users the ability to run complex queries across complex data landscapes in real-time: thus, the basis of its appeal. Interactive analytics applications present vast volumes of unstructured data at scale to provide instant insights. Why Use an Interactive Analytics Application?

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Analytics Analytics Data Warehouse Business Intelligence 130

Data Science Dojo

SEPTEMBER 11, 2024

Microsoft Fabric aims to reduce unnecessary data replication, centralize storage, and create a unified environment with its unique data fabric method. Microsoft Fabric is a cutting-edge analytics platform that helps data experts and companies work together on data projects. What is Microsoft Fabric?

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Dataversity

APRIL 8, 2021

Business intelligence (BI) tools transform the unprocessed data into meaningful and actionable insight. BI tools analyze the data and convert them […]. The post Important Features of Top Business Intelligence Tools appeared first on DATAVERSITY.

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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. The Event Log Data Model for Process Mining Process Mining as an analytical system can very well be imagined as an iceberg.

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Data Models Data Modeling Business Intelligence Business Intelligence 245

Data Science Connect

JULY 21, 2024

AtScale is a data and analytics platform that provides a semantic layer solution, enabling users to bridge AI and BI by offering a unified view of data. It enhances business intelligence workloads through accelerated query performance, reduced compute consumption, and improved resource productivity.

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Dataversity

JUNE 4, 2021

To make your offering even more attractive, you’ve decided to embed analytics and business intelligence (ABI) into your product. The post Not All Embedded Analytics and BI Solutions Are the Same appeared first on DATAVERSITY. You have a solid value proposition with your target market. So far, so good.

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IBM Journey to AI blog

FEBRUARY 2, 2023

In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics, that enable faster decision making and insights.

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AWS Machine Learning Blog

MAY 23, 2025

In this post, we explore how Principal used this opportunity to build an integrated voice VA reporting and analytics solution using an Amazon QuickSight dashboard. As part of AWS CCI, Genesys Cloud integrates with Amazon Lex, which enables self-service, intelligent routing, and data collection capabilities.

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phData

SEPTEMBER 8, 2023

Business intelligence (BI) has become the cornerstone of decision making for businesses, leading organizations to constantly seek innovative solutions to harness the power of their data. Snowflake Data Cloud, a cloud-native data platform, has emerged as a leading choice for business intelligence (BI) initiatives.

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Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

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AWS Machine Learning Blog

APRIL 3, 2025

At the heart of this transformation is the OMRON Data & Analytics Platform (ODAP), an innovative initiative designed to revolutionize how the company harnesses its data assets. The robust security features provided by Amazon S3, including encryption and durability, were used to provide data protection.

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phData

MAY 25, 2023

How to Optimize Power BI and Snowflake for Advanced Analytics Spencer Baucke May 25, 2023 The world of business intelligence and data modernization has never been more competitive than it is today. Much of what is discussed in this guide will assume some level of analytics strategy has been considered and/or defined.

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Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine.

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Data Science Dojo

SEPTEMBER 5, 2024

Artificial Intelligence (AI) and Machine Learning : Develop models that can learn from data and make autonomous decisions. Big Data Analysis : Processes and analyzes large datasets to extract meaningful insights. Healthcare : Improves patient outcomes through predictive analytics and personalized medicine.

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Computer Science Computer Science Data Science Machine Learning 195

Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

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Dataversity

APRIL 1, 2021

In the data-driven world we live in today, the field of analytics has become increasingly important to remain competitive in business. In fact, a study by McKinsey Global Institute shows that data-driven organizations are 23 times more likely to outperform competitors in customer acquisition and nine times […].

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Tableau

JULY 15, 2021

That’s why we created the Tableau Partner Network (TPN)—to pair customers like you with a global network of partners focused on helping you solve your toughest data analytics challenges. . Tableau Premier Reseller & Member Services Partner, InterWorks, helps Paigo adopt self-service analytics. So do our partners.

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phData

NOVEMBER 9, 2023

Snowflake’s Data Cloud has emerged as a leader in cloud data warehousing. As a fundamental piece of the modern data stack , Snowflake is helping thousands of businesses store, transform, and derive insights from their data easier, faster, and more efficiently than ever before. What is a Data Lake?

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IBM Journey to AI blog

MAY 9, 2023

IBM today announced it is launching IBM watsonx.data , a data store built on an open lakehouse architecture, to help enterprises easily unify and govern their structured and unstructured data, wherever it resides, for high-performance AI and analytics. What is watsonx.data?

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phData

FEBRUARY 21, 2025

A data warehouse acts as a single source of truth for an organization’s data, providing a unified view of its operations and enabling data-driven decision-making. A data warehouse enables advanced analytics, reporting, and business intelligence.

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Dataconomy

MAY 29, 2025

It offers a structured environment where organizations can procure high-quality data to support their operations, analytics, and strategic initiatives. Types of data available in data marketplaces Data marketplaces feature a wide range of data types, catering to differing needs across industries.

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Tableau

JUNE 8, 2021

The division between data lakes and data warehouses is stifling innovation. Nearly three-quarters of the organizations surveyed in the previously mentioned Databricks study split their cloud data landscape into two layers: a data lake and a data warehouse. . Real-time streaming and batch data.

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DataRobot Blog

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. Here are five key takeaways from one of the biggest data conferences of the year. Data Analysis Must Include Business Value. GARTNER is the registered trademark of Gartner Inc., All rights reserved.

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How to Learn Machine Learning

APRIL 26, 2025

So, they very often work with data engineers, analysts, and business partners to achieve that. Working largely with large-scale systems like Apache Spark, Kafka, and Hadoop, as well as cloud platforms such as AWS , Azure, or Google Cloud, data engineers ensure secure and large-scale movement of data across environments.

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IBM Journey to AI blog

SEPTEMBER 11, 2023

Don Haderle, a retired IBM Fellow and considered to be the “father of Db2,” viewed 1988 as a seminal point in its development as D B2 version 2 proved it was viable for online transactional processing (OLTP)—the lifeblood of business computing at the time. Db2 (LUW) was born in 1993, and 2023 marks its 30th anniversary.

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Database SQL Data Warehouse Machine Learning 101

IBM Journey to AI blog

JULY 11, 2023

Data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such as business intelligence (BI) reporting, dashboarding, and machine-learning (ML)-based predictive analytics that enable faster decision making and insights.

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Dataversity

JULY 31, 2023

Organizations are sitting on a mountain of data and untapped business intelligence, all stored across various internal and external systems. Those that utilize their data and analytics the best and the fastest will deliver more revenue, better customer experience, and stronger employee productivity than their competitors.

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Business Intelligence Business Intelligence Analytics Analytics 52

Tableau

MAY 19, 2021

Retailers are also dealing with online shopping surges that add new complexities to existing data strategies due to an influx of raw, unprepped, and largely underutilized data. . Analytics agility is a competitive advantage in retail today—and it will be table stakes for retail success tomorrow. What is a modern data stack?

Tableau 52

Tableau Cloud Data Data Pipeline Analytics 52

Smart Data Collective

APRIL 29, 2020

Usually the term refers to the practices, techniques and tools that allow access and delivery through different fields and data structures in an organisation. Data management approaches are varied and may be categorised in the following: Cloud data management. Master data management. Data transformation.

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Data Warehouse Azure SQL ETL 98

Tableau

JULY 15, 2021

That’s why we created the Tableau Partner Network (TPN)—to pair customers like you with a global network of partners focused on helping you solve your toughest data analytics challenges. Tableau Premier Reseller & Member Services Partner, InterWorks, helps Paigo adopt self-service analytics. So do our partners.

Tableau 52

Tableau Data Governance Analytics Analytics 52

ODSC - Open Data Science

FEBRUARY 6, 2024

This open-source streaming platform enables the handling of high-throughput data feeds, ensuring that data pipelines are efficient, reliable, and capable of handling massive volumes of data in real-time. Each platform offers unique features and benefits, making it vital for data engineers to understand their differences.

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Precisely

MARCH 14, 2023

And the desire to leverage those technologies for analytics, machine learning, or business intelligence (BI) has grown exponentially as well. Then, data clouds from providers like Snowflake and Databricks made deploying and managing enterprise-grade data solutions much simpler and more cost-effective.

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Data Quality Cloud Data Data Pipeline Data Observability 52

Pickl AI

APRIL 9, 2025

It provides insights into considerations for choosing the right tool, ensuring businesses can optimize their data integration processes for better analytics and decision-making. Introduction In todays data-driven world, organizations are overwhelmed with vast amounts of information. What are ETL Tools?

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Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. Lookers strength lies in its ability to connect to a wide variety of data sources.

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Precisely

JANUARY 25, 2024

Today’s cloud systems excel at high-volume data storage, powerful analytics, AI, and software & systems development. Cloud-based DevOps provides a modern, agile environment for developing and maintaining applications and services that interact with the organization’s mainframe data. Best Practice 2.

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Precisely

APRIL 3, 2023

It simply wasn’t practical to adopt an approach in which all of an organization’s data would be made available in one central location, for all-purpose business analytics. To speed analytics, data scientists implemented pre-processing functions to aggregate, sort, and manage the most important elements of the data.

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