Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. The details are below. 22-27, 2020.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture 124

Data Architecture Data Warehouse Statistics Visualization 124

CIO Business Intelligence

OCTOBER 26, 2023

It’s a role that combines hard skills such as programming, data modeling, and statistics with soft skills such as communication, analytical thinking, and problem-solving. 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

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. Organization: Columbia University Price: Students pay Columbia Engineering’s rate of tuition (US$2,362 per credit).

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 136

Predictive Analytics Analytics Predictive Modeling Forecasting 136

datapine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. That being said, it seems like we’re in the midst of a data analysis crisis. Be open-minded about your data sources in this step – all departments in your company, sales, finance, IT, etc.,

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

NOVEMBER 1, 2020

Instead, we let the system discover information and outline the hidden structure that is invisible to our eye. As a result, unsupervised ML algorithms are more elaborate than supervised ones, since we have little to no information or the predicted outcomes. Dimensionality Reduction – Modifying Data.

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

CIO Business Intelligence

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

APRIL 22, 2022

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. A PhD proves a candidate is capable of doing deep research on a topic and disseminating information to others.

Data Science 136

Data Science Statistics Machine Learning Visualization 136

Smart Data Collective

MAY 4, 2023

Big data has been discussed by business leaders since the 1990s. It refers to datasets too large for normal statistical methods. Professionals have found ways to use big data to transform businesses. However, the process of data gathering can be complex and challenging, especially when dealing with large volumes of information.

Data mining 79

Data mining Big Data Data-driven Measurement 79

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 86

Data Analytics Software Analytics Statistics 86

FineReport

NOVEMBER 24, 2021

With the emergence of social media, lots of customer information are available for marketers now. Using big data technology allows enterprises to judge future buying patterns and trends. All these ask for a seasoned data scientist who is familiar with statistical and programming languages. What does BI do for marketing?

Marketing 98

Marketing Dashboards Statistics Data mining 98

Jen Stirrup

SEPTEMBER 30, 2021

Before we dive in, let’s define strands of AI, Machine Learning and Data Science: Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. It is also not human-inspired (Taken from DataRobot here).

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

datapine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Do you find computer science and its applications within the business world more than interesting?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Smart Data Collective

DECEMBER 19, 2021

Elaborately, the steps and methods to organize and reshape the data to execute it suitably for use or mining, the entire process, in short, known as Data Preprocessing. With technological advancement, information has become one of the most valuable elements in this modern era of science.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. On premises or in SAP cloud. Per user, per month. Free tier.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

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

Smart Data Collective

JUNE 14, 2022

Data scientists need to have a number of different skills. In addition to understanding the logistics of networking and a detailed knowledge of statistics, they must possess solid programming skills. When you are developing big data applications, you need to know how to create code effectively. Failing to Back Up Code.

Data mining 92

Data mining Big Data Data Science Statistics 92

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

FineReport

JULY 28, 2021

Data is knowledge, new oil, powerful weapon. Data is highly valued nowadays. Good data can give you keen insights, convincing evidence to make informed decisions. By observing and analyzing data, we can develop more accurate theories and formulate more effective solutions. For this reason, data science and/vs.

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

BizAcuity

MAY 16, 2022

He went on to be the head brewer of Guinness and we thank him for not just great hand-crafted beers but subsequent research breakthroughs in statistical research as well. Data allowed Guinness to hold their market dominance for long. In brief, business intelligence is about how well you leverage, manage and analyze business data.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

FineReport

JUNE 11, 2021

Gartner has defined Analytics and Business Intelligence (ABI) as a general term that includes applications, infrastructure, tools, and best practices that allow access and analysis of information to improve decision-making and performance. In contrast, business analytics is often described as a more statistically-based field.

Business Intelligence 98

Business Intelligence Analytics Dashboards Statistics 98

CIO Business Intelligence

AUGUST 11, 2023

When you click on a search result, the system interprets it as confirmation that the results it has found are correct and uses this information to improve search results in the future. Licensed by MIT, SpaCy was made with high-level data science in mind and allows deep data mining. Chatbots work the same way.

Unstructured Data 137

Unstructured Data Modeling Machine Learning Data mining 137

Smart Data Collective

OCTOBER 31, 2021

You can also use data mining technology to learn more about the niche and find out if it will be a good fit. If you have not decided what you will sell, you want to sell a product in demand, you can use the statistics of specialized services, research major players. Detailed market analytics will make this a lot easier.

Analytics 109

Analytics Data mining Analytics Technologies Sales 109

BizAcuity

OCTOBER 21, 2019

The key factor for the prosperity of the Hotel is service, online reviews & experience, using the information technology organizations are capturing the data to develop the latest techniques using data analytics to survive the competition. Decoding online reviews through analytics.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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

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 122

Predictive Analytics Analytics Predictive Modeling Data mining 122

CIO Business Intelligence

JUNE 28, 2023

It’s worth noting that each initiative carried its own unique complexity, such as varying data sizes, data variety, statistical and computational models, and data mining processing requirements. Artificial Intelligence, CIO, Data and Information Security, Data Center Management, Innovation, IT Leadership

Digital Transformation 82

Digital Transformation Cost-Benefit Informatics Data mining 82

datapine

SEPTEMBER 27, 2022

But before we do, let’s explore some interesting SQL facts: SQL assists in the structuring and management of information in a database, in addition to conducting searches for information using structures. 11) “Data Analysis Using SQL and Excel, 2nd Edition” by Gordon S.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

DECEMBER 4, 2019

In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. The most practical uses of AI include data mining, historical analysis and the handling of otherwise mundane administrative tasks.

Predictive Analytics 54

Predictive Analytics Analytics Data mining Sales 54

Smart Data Collective

MARCH 23, 2020

Big data phenomenon has revolutionized almost every aspect of an average citizen’s life. Information about our online activity has been accumulating for years, and now is actively used to know more about us. Online shopping, gaming, web surfing – all of this data can be collected, and more importantly, analyzed.

Big Data 103

Big Data Recreation/Entertainment Data mining Optimization 103

Alation

MARCH 29, 2022

Historian Richard Millar Devens first used the term to describe the machinations of banker Sir Henry Furnese, who collected information and acted on it quickly to outsmart his competition. Today, the term describes that same activity, but on a much larger scale, as organizations race to collect, analyze, and act on data first.

Business Intelligence 96

Business Intelligence Reporting Data mining Data-driven 96

Smart Data Collective

AUGUST 11, 2022

One of the best benefits involves using data analytics to improve cash collection processes. Data Analytics Helps Companies Create Better Cash Collection Strategies. However, statistics have shown that many businesses don’t receive customer payments on time. Cash collection is essential to the continued operation of businesses.

Data Analytics 116

Data Analytics Optimization Analytics Cost-Benefit 116

Smart Data Collective

SEPTEMBER 13, 2020

Afterwards, we will provide some additional information on creating a more data-driven SEO strategy, particularly around the theme of earning backlinks. Search engines use data mining tools to find links from other sites. Oftentimes, this means citing a statistic or providing content for further reading.

Data Analytics 100

Data Analytics Analytics Big Data Data mining 100

FineReport

JUNE 11, 2021

Gartner has defined Analytics and Business Intelligence (ABI) as a general term that includes applications, infrastructure, tools, and best practices that allow access and analysis of information to improve decision-making and performance. In contrast, business analytics is often described as a more statistically-based field.

Business Intelligence 52

Business Intelligence Analytics Dashboards Statistics 52