Dataiku

OCTOBER 5, 2023

A shiny new technology appears and we prioritize its implementation: enterprise databases, personal computers, spreadsheets, three-tier architectures, business intelligence reporting, the internet, mobile computing, big data, data mining, cloud computing, self-service business intelligence, AutoML, AI, and now Generative AI.

Data mining 83

Data mining Digital Transformation Data Science Business Intelligence 83

IBM Big Data Hub

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 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

CIO Business Intelligence

NOVEMBER 14, 2022

With organizations increasingly focused on data-driven decision making, decision science (or decision intelligence) is on the rise, and decision scientists may be the key to unlocking the potential of decision science systems. XLSTAT is an Excel data analysis add-on geared for corporate users and researchers.

Data mining 135

Data mining Data-driven Statistics OLAP 135

CIO Business Intelligence

SEPTEMBER 14, 2023

These generalists are often responsible for every step of the data process, from managing data to analyzing it. Dataquest says this is a good role for anyone looking to transition from data science to data engineering, as smaller businesses often don’t need to engineer for scale.

Analytics 134

Analytics Data Science Unstructured Data Data mining 134

CIO Business Intelligence

JUNE 14, 2023

Certification of Professional Achievement in Data Sciences The Certification of Professional Achievement in Data Sciences is a nondegree program intended to develop facility with foundational data science skills. The online program includes an additional nonrefundable technology fee of US$395 per course.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

Smarten

JANUARY 18, 2023

The Smarten system has helped the client cost-effectively shift from spreadsheet based reporting to business intelligence based centralized analysis, assessment, and reporting. From a Forest of Spreadsheets to Centralized Self-Service Analytics.

Data Warehouse 52

Data Warehouse Analytics Data mining Business Intelligence 52

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). A reference to a new phase in the Industrial Revolution that focuses heavily on interconnectivity, automation, Machine Learning, and real-time data. Examples: Cars, Trucks, Taxis. See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

MAY 12, 2022

The goal of Alteryx’s Analytic Process Automation (APA) platform is to help you build a pipeline that cleans data before applying the best data science and machine learning algorithms. The tool builds heavily on business intelligence and reporting by treating predictions as just another column in the analytics presentation.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. These tools empower organizations to glean valuable insights from their data, enhancing decision-making processes and bolstering competitiveness in data-driven markets.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

CIO Business Intelligence

OCTOBER 13, 2023

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

Smart Data Collective

APRIL 8, 2020

The data collected in the system may in the form of unstructured, semi-structured, or structured data. 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. Big data and data warehousing.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

FineReport

MARCH 24, 2024

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions.

Business Intelligence 142

Business Intelligence Dashboards Data mining OLAP 142

CIO Business Intelligence

AUGUST 9, 2022

These generalists are often responsible for every step of the data process, from managing data to analyzing it. Dataquest says this is a good role for anyone looking to transition from data science to data engineering, as smaller businesses often don’t need to engineer for scale.

Analytics 127

Analytics Data Science Statistics Unstructured Data 127

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 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

CIO Business Intelligence

AUGUST 11, 2023

Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining. Data Science: Natural Language Processing in Python from Udemy. SpaCy , an open-source library for advanced natural language processing explicitly designed for production use rather than research.

Unstructured Data 141

Unstructured Data Modeling Machine Learning Data mining 141

CIO Business Intelligence

MARCH 24, 2023

A framework for managing data 10 master data management certifications that will pay off Big Data, Data and Information Security, Data Integration, Data Management, Data Mining, Data Science, IT Governance, IT Governance Frameworks, Master Data Management

Data Governance 142

Data Governance Management Metadata Data Quality 142

CDW Research Hub

DECEMBER 4, 2019

Universal data fabric : With the explosive growth of data in all different forms—structured, semi-structured and unstructured—there is a need to work with massive amounts of data, mine it, and make it easily accessible so one can gather intelligence and analytics out of it.

Data Warehouse 52

Data Warehouse Data mining Data Lake Dashboards 52

FineReport

JULY 18, 2022

The features you or your company need are core factors influencing your selection of the data analytics tool. For example, if you want the features of data visualization , such as stunning dashboards and rich charts, business intelligence tools are more suitable for you than a pure programming tool. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

IBM Big Data Hub

AUGUST 28, 2023

One of the best ways to take advantage of social media data is to implement text-mining programs that streamline the process. What is text mining? When used strategically, text-mining tools can transform raw data into real business intelligence , giving companies a competitive edge.

Data mining 57

Data mining Machine Learning Deep Learning Marketing 57

Peter James Thomas

AUGUST 18, 2018

From 2000 to 2015, I had some success [5] with designing and implementing Data Warehouse architectures much like the following: As a lot of my work then was in Insurance or related fields, the Analytical Repositories tended to be Actuarial Databases and / or Exposure Management Databases, developed in collaboration with such teams.

Data Lake 63

Data Lake Data Warehouse Data mining Statistics 63

FineReport

DECEMBER 19, 2019

Professional data analysts must have a wealth of business knowledge in order to know from the data what has happened and what is about to happen. In addition, tools for data analysis and data mining are also important. Excel, Python, Power BI, Tableau, FineReport are frequently used by data analysts.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. The benefit of speaking data, a.k.a. Data science skills.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

erwin

JUNE 11, 2020

Data intelligence can encompass both internal and external business data and information. It also differs from business intelligence since its goal is to augment future endeavors and plans. Transforming Industries with Data Intelligence. How Business Benefits from Data Intelligence.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

AUGUST 29, 2022

Best for : the new intern who has no idea what data science even means. An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). Answer: The primary differences are described in detail in our research, Technology Insight for Modern Business Intelligence and Analytics Platforms and summarized in the table below from the report.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Boris Evelson

OCTOBER 5, 2020

They say data is the new oil. They say data is the new currency. They say data is the key competitive differentiator. Respondents to the same survey claimed that less than half (49%) of all business decisions in their enterprise are […].

Data-driven 90

Data-driven Analytics Reporting Enterprise 90

CIO Business Intelligence

DECEMBER 22, 2022

Analytics, Collaboration Software, Data Management, Data Mining, Data Science, IT Strategy, Small and Medium Business.

Analytics 129

Analytics Machine Learning Software Data Quality 129

Srividya Sridharan

OCTOBER 22, 2019

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired! For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […].

Strategy 83

Strategy Data Analytics Analytics Data Strategy 83

CIO Business Intelligence

NOVEMBER 28, 2023

Data Management, Data Mining, Data Science We’ve already seen how the results of advanced technology have impacted the storytelling and design of our games, resulting in positive feedback and increased player engagement.”

Unstructured Data 127

Unstructured Data Data-driven Visualization Data Quality 127

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52