Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). 5) Big Data Exploration. They cannot process language inputs generally.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

JUNE 11, 2019

Big data is everywhere , and it’s finding its way into a multitude of industries and applications. One of the most fascinating big data industries is manufacturing. In an environment of fast-paced production and competitive markets, big data helps companies rise to the top and stay efficient and relevant.

Manufacturing 111

Manufacturing Analytics Big Data Data mining 111

Smart Data Collective

MAY 4, 2023

UMass Global has a very insightful article on the growing relevance of big data in business. Big data has been discussed by business leaders since the 1990s. Professionals have found ways to use big data to transform businesses. One thing that they need to do is collect data their business needs.

Data mining 109

Data mining Big Data Data-driven Measurement 109

Smart Data Collective

SEPTEMBER 17, 2020

Data precision has completely revamped our understanding of geography in countless ways. We also use big data to facilitate navigation. One of the tools that utilizes big data is Google Maps. The Emerging Role of Big Data with Google Analytics.

Visualization 134

Visualization Big Data Data mining Cost-Benefit 134

CIO Business Intelligence

JANUARY 20, 2023

BI focuses on descriptive analytics, data collection, data storage, knowledge management, and data analysis to evaluate past business data and better understand currently known information. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

Smart Data Collective

MARCH 28, 2022

Prescriptive data analytics: It is used to predict outcomes and necessary subsequent actions by combining the features of big data and AI. Diagnostic data analytics: It analyses the data from the past to identify the cause of an event by using techniques like data mining, data discovery, and drill down.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

CIO Business Intelligence

APRIL 22, 2022

For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

CIO Business Intelligence

SEPTEMBER 14, 2023

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

Analytics 135

Analytics Data Science Unstructured Data Data mining 135

CIO Business Intelligence

AUGUST 9, 2022

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. Becoming a data engineer.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics in business Predictive analytics draws its power from a wide range of methods and technologies, including big data, data mining, statistical modeling, machine learning, and assorted mathematical processes. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. BI software solutions (by FineReport).

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

OCTOBER 26, 2023

This is done by mining complex data using BI software and tools , comparing data to competitors and industry trends, and creating visualizations that communicate findings to others in the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

erwin

JUNE 11, 2020

Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. With tools such as Artificial Intelligence, Machine Learning, and Data Mining, businesses and organizations can collate and analyze large amounts of data reliably and more efficiently.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. Nowadays text data is huge, so Deep Learning also comes into the picture. Python has 200+ standard libraries and nearly infinite third-party libraries. Every library has its own purpose and benefits.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

TDAN

MARCH 3, 2020

In 2018, it was discovered that Cambridge Analytica had harvested the data of at least 87 million Facebook users without their knowledge after obtaining it via a few thousand accounts that had used a quiz app. There is no getting away from how incredibly valuable our data is. In 2018, the Global Data Mining Tools […].

Data mining 52

Data mining IT Data Governance Data Strategy 52

FineReport

MARCH 24, 2024

Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings. Certified Analytics Professional (CAP) , providing advanced insights into converting data into actionable insights.

Statistics 52

Statistics Data mining Visualization Reporting 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? Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g.,

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure. Tag your mobile website.

Metrics 143

Metrics Reporting Analytics Marketing 143

FineReport

JULY 18, 2022

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Most data analysts are very familiar with Excel because of its simple operation and powerful data collection, storage, and analysis. Price: Google Data Studio is an entirely free tool. Free Download.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52

IBM Big Data Hub

AUGUST 14, 2023

Advanced analytics help detect known and unknown threats to drive consistent and faster investigations every time and empower your security analysts to make data-driven decisions. Actual performance and results may vary depending on specific configurations and operating conditions. [2]

Cost-Benefit 55

Cost-Benefit Machine Learning Consulting Data mining 55

IBM Big Data Hub

AUGUST 11, 2023

Machine learning (ML), a subset of artificial intelligence (AI), is an important piece of data-driven innovation. Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

DECEMBER 28, 2021

Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! Misleading statistics refers to the misuse of numerical data either intentionally or by error. Exclusive Bonus Content: Download Our Free Data Integrity Checklist.

Statistics 363

Statistics Advertising Visualization Data mining 363

Jet Global

MAY 1, 2023

Users Want to Help Themselves Data mining is no longer confined to the research department. Today, every professional has the power to be a “data expert.” Let’s just give our customers access to the data. You’ve settled for becoming a data collection tool rather than adding value to your product.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52