Smart Data Collective

MAY 4, 2023

However, the process of data gathering can be complex and challenging, especially when dealing with large volumes of information. Understanding the Importance of Data Gathering for Businesses In the digital age, businesses rely heavily on data to make informed decisions and improve their operations.

Data mining 78

Data mining Big Data Data-driven Measurement 78

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. Other senior positions may require an MBA, but there are plenty of BI jobs that require only an undergraduate degree.

Business Intelligence 126

Business Intelligence Data-driven Statistics Data Warehouse 126

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 143

Predictive Analytics Analytics Predictive Modeling Forecasting 143

Smart Data Collective

MARCH 28, 2022

Data analytics is the discipline of examining raw data to make conclusions about that set of information. All the processes and techniques used in data analytics can be automated into algorithms that work on raw data. Benefits of data analytics. Businesses can use it to optimize their performance.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

Rocket-Powered Data Science

JULY 7, 2019

Autonomous Vehicles: Self-driving (guided without a human), informed by data streaming from many sensors (cameras, radar, LIDAR), and makes decisions and actions based on computer vision algorithms (ML and AI models for people, things, traffic signs,…). Examples: (1) Retail. (2) 2) Disaster Response. (3) 3) Machine maintenance. (4)

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.” Don’t neglect master data management.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

APRIL 8, 2020

Furthermore, it has been estimated that by 2025, the cumulative data generated will triple to reach nearly 175 zettabytes. Demands from business decision makers for real-time data access is also seeing an unprecedented rise at present, in order to facilitate well-informed, educated business decisions.

Technology 134

Technology Data Warehouse Big Data Machine Learning 134

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 139

Data Science Statistics Machine Learning Visualization 139

IBM Big Data Hub

AUGUST 28, 2023

What is text mining? 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 56

Data mining Machine Learning Deep Learning Marketing 56

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 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

Smart Data Collective

JUNE 11, 2019

Big data means using a wired or wireless connection to track machine utilization with greater accuracy to see the variables that could impact its performance. A manager can see what or who is performing optimally, giving the information needed when making business decisions. Deconstructing Big Data in Manufacturing.

Manufacturing 93

Manufacturing Analytics Big Data Data mining 93

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 106

Big Data Data Analytics Analytics Cost-Benefit 106

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.

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. automated vehicles, for instance, might “interact” with each other which will help in preventing accidents.

Technology 110

Technology Data mining Insurance Machine Learning 110

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. Apply real-time data in marketing strategies.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

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. Dresner Advisory Services also recognized Logi Analytics as an overall BI leader in its 2021 Industry Excellence Awards.

Business Intelligence 52

Business Intelligence Analytics Data mining Software 52

IBM Big Data Hub

AUGUST 14, 2023

With QRadar EDR, security analysts can leverage attack visualization storyboards to make quick and informed decisions. It gives you the information you need to reduce mean time to detect (MTTD) and mean time to respond (MTTR) , with a quicker, more decisive escalation process.

Cost-Benefit 58

Cost-Benefit Machine Learning Consulting Data mining 58

Sisense

APRIL 26, 2020

Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it. Understanding data structure is a key to unlocking its value. A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

FineReport

FEBRUARY 28, 2020

The central one is the data visualization technology at the display level. Despite the different order of magnitude and the need for an in-depth analysis, data visualization technology can fulfill the most basic BI goals-transforming data into information and assisting decision-making. Enterprise Reporting Strategy .

Reporting 96

Reporting Enterprise Visualization Business Intelligence 96

IBM Big Data Hub

AUGUST 11, 2023

The advancement of computing power over recent decades has led to an explosion of digital data, from traffic cameras monitoring commuter habits to smart refrigerators revealing how and when the average family eats. Both computer scientists and business leaders have taken note of the potential of the data.

Data Science 56

Data Science Machine Learning Cost-Benefit Deep Learning 56

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 143

Business Intelligence Dashboards Data mining OLAP 143

Rocket-Powered Data Science

JULY 6, 2021

While it is similar to MLOps, AIOps is less focused on the ML algorithms and more focused on automation and AI applications in the enterprise IT environment – i.e., focused on operationalizing AI, including data orchestration, the AI platform, AI outcomes monitoring, and cybersecurity requirements. Get on board with data literacy!

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

datapine

AUGUST 29, 2022

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.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

NOVEMBER 28, 2023

Unstructured data resources can be extremely valuable for gaining business insights and solving problems. Organizations that become skilled in tapping these vast information resources can gain a significant advantage in delivering actionable insights to key business processes. Separate the actionable from the informative.

Unstructured Data 128

Unstructured Data Data-driven Visualization Data Quality 128

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. Data security.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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. Creating a radius for custom maps.

Visualization 131

Visualization Big Data Cost-Benefit Data mining 131

Occam's Razor

SEPTEMBER 4, 2012

Not just the hyper-fast access information and being able to call whomever you want wherever you are, but also in more fundamental ways around the globe by empowering farmers to get better rates for their crops, or helping children to learn in new ways, or making revolutions ever more efficient. Like everyone in California, I surf. ^).

Marketing 144

Marketing Data mining Measurement Strategy 144

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

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. The unreasonable effectiveness of data. The electrotopological state: Structure information at the atomic level for molecular graphs.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

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.

Marketing 40

Marketing Data-driven Data Collection Data mining 40

FineReport

JULY 18, 2022

In an era full of data, data analysis allows us to discover the most useful information and make more scientific decisions for business operations. Data analysis tools are widely used by data analysts as well as non-professional business people to achieve better performance and higher efficiency. From KNIME.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

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. Let's get the information we need to get our CEOs, CMOs and CUXOs to unleash a tsunami of creativity and awesomeness when it comes to mobile. Framing the Opportunity.

Metrics 141

Metrics Reporting Analytics Marketing 141

Smart Data Collective

OCTOBER 25, 2023

Nonetheless, we’re talking about an exciting synergy that allows organizations and multimillion-dollar companies and brands to tap into the wealth of information generated on social media platforms. Relational databases emerged in the 1970s, enabling more advanced data management. Many companies are following her direction.

Key Performance Indicator 95

Key Performance Indicator Business Intelligence Data-driven Metrics 95

datapine

DECEMBER 28, 2021

Studies foster informed decision-making, sound judgments, and actions carried out on the weight of evidence, not assumptions. Exclusive Bonus Content: Download Our Free Data Integrity Checklist. Get our free checklist on ensuring data collection and analysis integrity! What Is A Misleading Statistic? Source : Vox.

Statistics 363

Statistics Advertising Visualization Data mining 363

Alation

AUGUST 26, 2021

By answering key questions around the who, what, where and when of a given data asset, DI paints a picture of why folks might use it, educating on that asset’s reliability and relative value. Insights into how an asset’s been used in the past inform how it might be intelligently applied in the future. Why keep data at all?

Metadata 64

Metadata Data Governance Dashboards Software 64

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52