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.

Predictive Analytics 139

Predictive Analytics Analytics Analytics Decision Trees 139

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Accelerate adoption with intuitive analytics that people love to use.

Tableau 102

Tableau Business Intelligence Business Intelligence Analytics 102

Smart Data Collective

JUNE 16, 2022

Every data scientist needs to understand the benefits that this technology offers. Online analytical processing is a computer method that enables users to retrieve and query data rapidly and carefully in order to study it from a variety of angles. Types: HOLAP stands for Hybrid Online Analytical Processing. see more ).

Analytics 139

Analytics Analytics Data Scientist Data Warehouse 139

Data Science Dojo

JULY 6, 2023

Google BigQuery: Google BigQuery is a serverless, cloud-based data warehouse designed for big data analytics. It offers scalable storage and compute resources, enabling data engineers to process large datasets efficiently. It supports batch processing and is widely used for data-intensive tasks.

Data Engineering 195

Data Engineering Data Engineer Data Engineering Data Engineering 195

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. Analytics Extensions do just that! This data can then be scored, transformed, or augmented to facilitate dynamic exploration.

Tableau 123

Tableau Analytics Analytics Python 123

Data Science Connect

JULY 22, 2024

Looker, part of Google Cloud, is a business intelligence and data analytics platform. It enables organizations to explore, analyze, and visualize data to drive better decision-making. It supports collaborative data analysis, ensuring that data insights are accessible and actionable across the enterprise.

Business Intelligence 100

Business Intelligence Business Intelligence Data Analysis Data Analysis 100

Pickl AI

JANUARY 15, 2025

Summary: Business Intelligence tools are software applications that help organizations collect, process, analyse, and visualize data from various sources. Introduction Business Intelligence (BI) tools are essential for organizations looking to harness data effectively and make informed decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Power BI Data Visualization 52

Pickl AI

JANUARY 28, 2025

Summary: Understanding Business Intelligence Architecture is essential for organizations seeking to harness data effectively. This framework includes components like data sources, integration, storage, analysis, visualization, and information delivery. What is Business Intelligence Architecture?

Business Intelligence 52

Business Intelligence Business Intelligence ETL Data Lakes 52

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.

Business Intelligence 100

Business Intelligence Business Intelligence Cloud Data Data Modeling 100

Pickl AI

MARCH 3, 2025

Summary: Business Intelligence Analysts transform raw data into actionable insights. They use tools and techniques to analyse data, create reports, and support strategic decisions. Key skills include SQL, data visualization, and business acumen. Introduction We are living in an era defined by data.

Business Intelligence 52

Business Intelligence Business Intelligence Data Analyst Data Visualization 52

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

Dataconomy

MARCH 24, 2023

In today’s fast-paced business landscape, companies need to stay ahead of the curve to remain competitive. Business intelligence (BI) has emerged as a key solution to help companies gain insights into their operations and market trends. What is business intelligence?

Business Intelligence 70

Business Intelligence Business Intelligence Data Analysis Data Analysis 70

IBM Journey to AI blog

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 94

Data Science Analytics Analytics Data Scientist 94

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. It makes them a very useful tool in the efficient handling of data science processes.

Data Science 342

Data Science Data Analysis Data Analysis Machine Learning 342

Tableau

SEPTEMBER 26, 2023

Swetha Bezawada Senior Data Scientist Colten Woo September 26, 2023 - 6:57pm October 2, 2023 The typical analytical ecosystem has two silos: business intelligence and data science. Analytics Extensions do just that! This data can then be scored, transformed, or augmented to facilitate dynamic exploration.

Tableau 96

Tableau Analytics Analytics Python 96

Tableau

JANUARY 27, 2021

This week, Gartner published the 2021 Magic Quadrant for Analytics and Business Intelligence Platforms. I first want to thank you, the Tableau Community, for your continued support and your commitment to data, to Tableau, and to each other. Accelerate adoption with intuitive analytics that people love to use.

Tableau 52

Tableau Business Intelligence Business Intelligence Analytics 52

Smart Data Collective

NOVEMBER 24, 2021

Although teams had vast amounts of data and powerful analytic tools at their fingertips, the pandemic still caught most organizations off guard. At Itransition, we believe that the adoption of business intelligence (BI) can enable enterprises to transform and continually adapt to the ever-changing market conditions.

Analytics 134

Analytics Analytics Business Intelligence Business Intelligence 134

Pickl AI

MARCH 17, 2025

It covers creating measures and calculated columns, using aggregate functions, and applying time intelligence for advanced Data Analysis. Introduction In the world of Business Intelligence , Power BI is a leading tool for Data Analysis and visualization. What is DAX?

Power BI 52

Power BI Data Analysis Data Analysis Data Modeling 52

Data Science Dojo

JANUARY 16, 2023

Put more concretely, data analysis involves sifting through data, modeling it, and transforming it to yield information that guides strategic decision-making. For businesses, data analytics can provide highly impactful decisions with long-term yield.

Data Analysis 195

Data Analysis Data Analysis Data Analyst Big Data 195

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.

Power BI 84

Power BI Analytics Analytics Azure 84

Dataversity

DECEMBER 9, 2020

Collecting and then analyzing retail data like customer visits, logistic fulfillment, pricing, and customer satisfaction presents a […]. The post The Three Techniques for Improving Analytics ROI in the Cloud appeared first on DATAVERSITY.

Analytics 95

Analytics Analytics Data Models Data Modeling 95

Smart Data Collective

JANUARY 26, 2021

We covered the benefits of using machine learning and other big data tools in translations in the past. However, big data often encapsulates using constantly growing data sets to determine business intelligence objectives, such as when to expand into a new market, which product might perform overseas, and which regions to expand into.

Big Data 141

Big Data Big Data Business Intelligence Business Intelligence 141

Tableau

SEPTEMBER 12, 2024

Spencer Czapiewski September 12, 2024 - 8:38pm Karen Madera Senior Manager, Product Marketing, Tableau We’re in the midst of an autonomous revolution that’s reshaping the way businesses use data to gain a competitive edge, delight customers, and engage employees.

Tableau 111

Tableau Analytics Analytics Data Modeling 111

Pickl AI

NOVEMBER 22, 2024

By presenting data visually, organisations can communicate insights more clearly and drive strategic decisions based on real-time analytics. Reveals hidden patterns and trends within large volumes of data. Supports predictive analytics to anticipate market trends and behaviours.

Data Visualization 52

Data Visualization Big Data Big Data Power BI 52

phData

SEPTEMBER 19, 2023

However, to fully harness the potential of a data lake, effective data modeling methodologies and processes are crucial. Data modeling plays a pivotal role in defining the structure, relationships, and semantics of data within a data lake. Consistency of data throughout the data lake.

Data Lakes 52

Data Lakes Data Modeling Data Models Data Warehouse 52

Smart Data Collective

OCTOBER 5, 2020

Business intelligence is a crucial component in the chase to be on the top in this competitive corporate sphere. As a venture grows, it becomes tedious to keep track of the analytical data of the enterprise which, in turn, forms a road-block to decision making.

Power BI 104

Power BI Business Intelligence Business Intelligence Data Modeling 104

The Data Administration Newsletter

JULY 21, 2021

There are such huge volumes of data generated in real-time that several businesses don’t know what to do with all of it. Unless big data is converted to actionable insights, there is nothing much an enterprise can do. And outdated data models no longer […].

Big Data 145

Big Data Big Data Data Modeling Data Models 145

Data Science Dojo

FEBRUARY 23, 2024

GPTs for Data science are the next step towards innovation in various data-related tasks. These are platforms that integrate the field of data analytics with artificial intelligence (AI) and machine learning (ML) solutions. It makes them a very useful tool in the efficient handling of data science processes.

Data Science 195

Data Science Data Analysis Data Analysis Machine Learning 195

Data Science Dojo

FEBRUARY 23, 2024

Other data science tasks include data preprocessing, visualization, and statistical analysis. Data science GPTs are useful in enhancing the accuracy and efficiency of complex analytical processes. Moreover, AI-powered tools can uncover new data insights and correlations that can go unnoticed otherwise.

Data Science 195

Data Science Data Analysis Data Analysis Data Analyst 195

Smart Data Collective

JULY 9, 2023

ETL (Extract, Transform, Load) is a crucial process in the world of data analytics and business intelligence. In this article, we will explore the significance of ETL and how it plays a vital role in enabling effective decision making within businesses.

ETL 105

ETL Data Quality Data Warehouse Analytics 105

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

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

IBM Journey to AI blog

SEPTEMBER 17, 2024

At IBM, we’ve developed Planning Analytics, a revolutionary solution that transforms how organizations approach planning and analytics. With robust features and unparalleled scalability, IBM Planning Analytics is the preferred choice for businesses worldwide.

Analytics 40

Analytics Analytics Data Warehouse Database 40

DrivenData Labs

MARCH 26, 2024

Meredith is a Cost and Data Analyst with the Business Analytics Team at HunaTek, an Alaskan Native Corporation that provides management consulting and logistics services to various federal agencies. Rowan is a Business Intelligence Analyst at HunaTek. He holds a B.S. in Musicology from the Eastman School of Music.

Power BI 264

Power BI Data Scientist Python Machine Learning 264

phData

SEPTEMBER 11, 2023

Row-level security is a powerful data governance capability across many business intelligence platforms, and Power BI is no exception. Dynamic RLS is more complex and requires logic to be defined within the PBIX file and the data model using relationships (explained later). In the new window, click Manage roles.

Power BI 101

Power BI Data Modeling Data Models Data Governance 101

Smart Data Collective

MARCH 29, 2022

In the world of data stacking, which is the theory of data organizing, there are two concepts that center around it: Fact table vs dimension table. This is the topic of harnessing data in a manner that is accessible, and tangible has been posited by many. He explains that “not every business gets value out of their data.

Data Modeling 98

Data Modeling Data Models SQL Analytics 98

Alation

FEBRUARY 13, 2020

This achievement is a testament not only to our legacy of helping to create the data catalog category but also to our continued innovation in improving the effectiveness of self-service analytics. A broader definition of Business Intelligence. Howard Dresner coined the term “Business Intelligence” in 1989.

Business Intelligence 52

Business Intelligence Business Intelligence Analytics Analytics 52

Smart Data Collective

SEPTEMBER 4, 2020

Big data is becoming increasingly important in business decision-making. The market for data analytics applications and solutions is expected to reach $105 billion by 2027. However, big data technology is only a viable tool for business decision-making if it is utilized appropriately.

Big Data 105

Big Data Big Data Analytics Analytics 105