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 140

Big Data Management Cost-Benefit Internet of Things 140

Occam's Razor

SEPTEMBER 4, 2012

Re-imagining what it means to get access to customer data and. I'm a lot less excited when I think about the imagination that we've brought to bear on mobile platforms and business/marketing. Legions of companies (large and extra large) still don't fundamentally grok the sweet power that this platform brings with it.

Marketing 146

Marketing Data mining Measurement Strategy 146

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Improved customer experience: Ready access to data can help employees charged with customer satisfaction provide better experiences.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

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). NLG is a software process that transforms structured data into human-language content.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

APRIL 8, 2020

The amount of data being generated globally is increasing at rapid rates. In fact, studies by the Gigabit Magazine depict that the amount of data generated in 2020 will be over 25 times greater than it was 10 years ago. The data collected in the system may in the form of unstructured, semi-structured, or structured data.

Technology 144

Technology Data Warehouse Big Data Machine Learning 144

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. As such it can help adopters find ways to save and earn money.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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. Some foresee it to be used in the collection of taxes within 10 years.

Technology 139

Technology Data mining Insurance Machine Learning 139

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

CIO Business Intelligence

SEPTEMBER 14, 2023

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.

Analytics 131

Analytics Data Science Statistics Unstructured Data 131

Smart Data Collective

MARCH 28, 2022

All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. The type of data analytics best suited for a company is decided by its development stage and what type of brand and identity marketing it wishes to implement. Data analytics in education.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

Smart Data Collective

MARCH 24, 2020

Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017.

Big Data 142

Big Data B2B Data mining Sales 142

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence analyst job requirements BI analysts typically handle analysis and data modeling design using data collected in a centralized data warehouse or multiple databases throughout the organization.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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. Data gathering can take many forms, including web scraping, data mining, and social media monitoring. They are especially great for web data mining.

Data mining 109

Data mining Big Data Data-driven Measurement 109

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics. Data must be collected and cleaned.

Data Science 140

Data Science Statistics Machine Learning Visualization 140

FineReport

AUGUST 14, 2020

The reporting system is a general term applied to a wide range of applications that extract data from databases, organize these data into reports, manage and distribute these reports to the decision-makers to help them make better-informed business choices. Making operation and maintenance easy is also of great importance. .

Reporting 98

Reporting Informatics OLAP Data Warehouse 98

Smart Data Collective

SEPTEMBER 17, 2020

Anish Nahar of Harvard Business School has gone so far as to state that Google Maps is the world’s most expansive big data machine. 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.

Visualization 134

Visualization Big Data Data mining Cost-Benefit 134

Smart Data Collective

MAY 8, 2022

When you combine big data with AI, you can help your users extract highly-valuable insights from data, foster data literacy across your company or organization, and take advantage of the many other benefits it offers. How big data analytics and AI can help you boost your business performance. Business analytics.

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

NOVEMBER 28, 2023

Making the most of enterprise data is a top concern for IT leaders today. With organizations seeking to become more data-driven with business decisions, IT leaders must devise data strategies gear toward creating value from data no matter where — or in what form — it resides. Tie initiatives to business outcomes.

Unstructured Data 130

Unstructured Data Data-driven Visualization Data Quality 130

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. If, however, the dataset is imbalanced with a class ratio of 100:1, this means that it contains only 100 examples of the minority class.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

erwin

JUNE 11, 2020

Data intelligence can encompass both internal and external business data and information. Transforming Industries with Data Intelligence. Data intelligence has provided useful and insightful information to numerous markets and industries. Improve consumer profiling and segmentation. Enhance customer experience.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

FineReport

FEBRUARY 28, 2020

Enterprise reporting is a process of extracting, processing, organizing, analyzing, and displaying data in the companies. It uses enterprise reporting tools to organize data into charts, tables, widgets, or other visualizations. In the end, display data insights such as reports and visual charts through data presentation.

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

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

Sisense

APRIL 10, 2020

These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. Libraries are collections of modules and functions that programmers can include in programs and projects to accomplish specific tasks. Loading data in both R and Python. Python: Versatile workhorse.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

FineReport

APRIL 20, 2020

It can integrate up to twelve formats of data sources, and create dynamic reports. . Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Support multiple data sources. FineReport supports various data sources (sets). What is Crystal Reports?.

Reporting 84

Reporting OLAP Dashboards Data mining 84

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

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. Still, let me try to surprise you. Many reasons.

Metrics 143

Metrics Reporting Analytics Marketing 143

Sisense

APRIL 26, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Structured data is organized in tabular format (ie.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

FineReport

MARCH 24, 2024

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

Statistics 52

Statistics Data mining Visualization Reporting 52

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 28, 2023

Text mining —also called text data mining—is an advanced discipline within data science that uses natural language processing (NLP) , artificial intelligence (AI) and machine learning models, and data mining techniques to derive pertinent qualitative information from unstructured text data.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

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. 2021 Technology Innovation Awards recognize top performers in Wisdom of Crowds® Thematic Market Studies. Raleigh, N.C.,

Business Intelligence 40

Business Intelligence Analytics Data mining Forecasting 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. QRadar EDR’s Cyber Assistant has helped reduce the number of false positives by 90%, on average. [1]

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

FineReport

JULY 18, 2022

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. It is recommended to choose the most cost-effective data analysis tool within your budget. 15 Best Data Analysis Tools. Free Download.

Forecasting 52

Forecasting Dashboards Statistics Visualization 52