CIO Business Intelligence

JULY 5, 2022

Business analytics is a subset of data analytics. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. The discipline is a key facet of the business analyst role.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

MARCH 29, 2021

Asset data collection. Data has become a crucial organizational asset. Companies need to make the most out of their data resources, which includes collecting and processing them correctly. Data collection and processing methods are predicted to optimize the allocation of various resources for MRO functions.

Big Data 138

Big Data Management Cost-Benefit Internet of Things 138

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

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency.

Machine Learning 279

Machine Learning Data-driven Deep Learning IoT 279

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

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

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). Traditionally they are text-based but audio and pictures can also be used for interaction.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

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

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

Smart Data Collective

MAY 4, 2023

Data gathering can take many forms, including web scraping, data mining, and social media monitoring. For example, web scraping requires businesses to collect data from websites, which can be challenging when dealing with large volumes of information or complex website structures.

Data mining 82

Data mining Big Data Data-driven Measurement 82

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

Smart Data Collective

MARCH 28, 2022

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. Descriptive data analytics: It is the foundation of reporting, addressing questions like “how many”, “where”, “when”, and “what”.

Data Analytics 88

Data Analytics Software Analytics Statistics 88

Smart Data Collective

APRIL 8, 2020

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 135

Technology Data Warehouse Big Data Machine Learning 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.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Smart Data Collective

JUNE 11, 2019

With all of the information available today, many decisions can be driven by big data. The power of advanced data collection and monitoring systems means increasingly little guesswork when it comes to overall management strategy. A well-structured data management system can connect supply line communication.

Manufacturing 94

Manufacturing Analytics Big Data Data mining 94

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 Strategy Data Governance 52

FineReport

AUGUST 14, 2020

It is composed of three functional parts: the underlying data, data analysis, and data presentation. The underlying data is in charge of data management, covering data collection, ETL, building a data warehouse, etc.

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

SEPTEMBER 9, 2020

Analysis of medical data collected from different groups and demographics allows researchers to understand patterns and connexions in diseases and identify factors that increase the efficacy of certain treatments.

Technology 111

Technology Data mining Insurance Machine Learning 111

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

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

Jet Global

FEBRUARY 9, 2022

With more organizations investing in data mining than ever before, insightsoftware is committed to empowering software teams to derive insights and make more informed decisions. The 2021 Technology Innovation Award is the latest in a series of accolades for the company.

Business Intelligence 52

Business Intelligence Analytics Data mining Software 52

CIO Business Intelligence

NOVEMBER 28, 2023

By identifying and categorizing named entities, NER empowers data analysts and system engineers to unlock valuable insights from the vast data collected,” Minarik says. The process of making unstructured data usable doesn’t end with analysis, Minarik says. Data Management, Data Mining, Data Science

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 111

Big Data Data Analytics Analytics Cost-Benefit 111

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

Smart Data Collective

SEPTEMBER 17, 2020

One new feature is the ability to create a radius, which wouldn’t be possible without the highly refined data mining and analytics features embedded in the core of the Google Maps algorithm. The Emerging Role of Big Data with Google Analytics.

Visualization 134

Visualization Big Data Cost-Benefit Data mining 134

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

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

Occam's Razor

SEPTEMBER 4, 2012

But what if we make data collection the primary purpose of our mobile app and then use that data (with permission) to create hyper-targeted, right moment, right time monetization strategies? I'm sure you are impressed at the data mining and intent targeting efforts of TripIt. Let me explain. So, why not?

Marketing 146

Marketing Data mining Measurement Strategy 146

Cloudera

DECEMBER 22, 2017

This mountain of data holds a gold rush of opportunities for marketers to truly engage with their consumers, just as long as they can effectively mine through all that data and make sense of what really matters. To tackle this, it is worth considering the frequency of data being collected. Keeping it fresh.

Marketing 40

Marketing Data-driven Data Collection Data mining 40

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

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

Smart Data Collective

MARCH 24, 2020

They know how to use big data to find the best options available to them. Amazon and many review sites use data mining technology to make it easier for customers to find their preferred products. This means businesses need to up their game and use big data to make their quality products more visible in the market.

Big Data 116

Big Data B2B Data mining Sales 116

Domino Data Lab

MAY 20, 2021

Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large. Data mining for direct marketing: Problems and solutions. Machine learning for the detection of oil spills in satellite radar images.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

FineReport

APRIL 20, 2020

Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Comparison between Crystal Reports and FineReport- Data Collection . Crystal Report focuses on the data display. FineReport supports writing data back to the database via web forms.

Reporting 84

Reporting OLAP Dashboards Data mining 84

FineReport

FEBRUARY 28, 2020

According to the process from data to knowledge, the functional architecture of a general enterprise reporting system is shown below:It is divided into three functional levels: the underlying data, data analysis, and data presentation.

Reporting 96

Reporting Enterprise Visualization OLAP 96

Sisense

APRIL 10, 2020

These libraries are used for data collection, analysis, data mining, visualizations, and ML modeling. Python has 200+ standard libraries and nearly infinite third-party libraries. Some standard Python libraries are Pandas, Numpy, Scikit-Learn, SciPy, and Matplotlib. Every library has its own purpose and benefits.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

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