Smart Data Collective

MAY 8, 2022

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI?

Big Data 122

Big Data Data Analytics Analytics Cost-Benefit 122

Smart Data Collective

FEBRUARY 15, 2022

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model.

Marketing 122

Marketing Data Analytics Analytics Big Data 122

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. Types of data analytics. Data analytics in education.

Data Analytics 105

Data Analytics Software Analytics Statistics 105

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What is the difference between business analytics and data analytics? Business analytics is a subset of data analytics.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

FineReport

JULY 28, 2021

If you are curious about the difference and similarities between them, this article will unveil the mystery of business intelligence vs. data science vs. data analytics. Definition: BI vs Data Science vs Data Analytics. Typical tools for data science: SAS, Python, R. What is Data Analytics?

Business Intelligence 98

Business Intelligence Data Science Data Analytics Analytics 98

Smart Data Collective

MARCH 25, 2019

Insurers are relying heavily on big data as the number of insurance policyholders also grow. Big data analytics can help solve a lot of data issues that insurance companies face, but the process is a bit daunting. Effect of Big Data Analytics to Customer Loyalty. Big Data Analytics in Fraud Cases.

Insurance 108

Insurance Data Analytics Analytics Big Data 108

datapine

NOVEMBER 27, 2019

Accordingly, predictive and prescriptive analytics are by far the most discussed business analytics trends among the BI professionals, especially since big data is becoming the main focus of analytics processes that are being leveraged not just by big enterprises, but small and medium-sized businesses alike.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

NOVEMBER 1, 2020

Unlike supervised ML, we do not manage the unsupervised model. k-means Clustering – Document clustering, Data mining. In data mining, k-means clustering is used to classify observations into groups of related observations with no predefined relationships. DBSCAN Clustering – Market research, Data analysis.

Machine Learning 145

Machine Learning Data mining Visualization Statistics 145

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. Without big data in predictive analytics, these descriptive models can’t offer a competitive advantage or negotiate future outcomes.

Predictive Analytics 139

Predictive Analytics Analytics Predictive Modeling Data mining 139

Smart Data Collective

AUGUST 30, 2022

Analytics technology is very important for modern business. Companies spent over $240 billion on big data analytics last year. There are many important applications of data analytics technology. Analytics Can Be Essential for Helping Companies with their Pricing Strategies. Value-Based Pricing.

B2B 145

B2B Analytics Cost-Benefit Metrics 145

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

Smart Data Collective

NOVEMBER 11, 2021

One of the reasons that we focus on these sectors is that there is so much data on consumers, which makes it easier to create a solid business model with big data. However, data analytics technology can be just as useful with regards to creating a successful B2B business. Invest in content that will appeal to them.

B2B 132

B2B Data mining Big Data Marketing 132

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been instrumental in changing the direction of countless industries. Companies have found that data analytics and machine learning can help them in numerous ways. We talked about the benefits of outsourcing IoT and other data science obligations. However, the converse approach can also be useful.

Data-driven 128

Data-driven Cost-Benefit Data mining Big Data 128

Smart Data Collective

MAY 3, 2021

Big data has played a huge role in the evolution of employment models. You should understand the changes wrought by big data and the impact that it is having on the gig economy. Let us take a look at some of the pros and cons of the world of gigs: #1 Unbridled liberty of choice with data mining.

Big Data 130

Big Data Data mining Cost-Benefit Insurance 130

Smart Data Collective

DECEMBER 19, 2021

Built-in Data Analytics Tools: Python has some built-in data analysis tools that make the job easier for you. For example, the Impute library package handles the imputation of missing values, MinMaxScaler scales datasets, or uses Autumunge to prepare table data for machine learning algorithms.

Optimization 141

Optimization Machine Learning Data mining Statistics 141

Smart Data Collective

JUNE 23, 2022

Data analytics technology has become a pillar in modern business. A growing number of companies are utilizing data analytics to improve their operating strategies. One of the most important functions that data analytics is helping with is finance. The right data analytics tools can be very valuable.

Analytics 128

Analytics Data mining Finance Insurance 128

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. These two functions are nearly inseparable as we move further into a world of analytics that blends sources of varying volume, variety, veracity, and velocity. Building the right data model is an important part of your data strategy.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Smart Data Collective

OCTOBER 31, 2021

Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology. Many e-commerce sites are discovering more innovative ways to apply data analytics.

Analytics 133

Analytics Data mining Analytics Technologies Sales 133

datapine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

Business Intelligence 292

Business Intelligence Data Warehouse Data Processing Data mining 292

Smart Data Collective

JUNE 14, 2022

The best way to do this is by generating a buyer persona or a model of your typical customer or client which helps you establish a clear way of promoting your services to the right people. Data analytics has made it easier to identify the best audience for your online business.

Big Data 122

Big Data Data mining Metrics Sales 122

Smart Data Collective

MARCH 2, 2023

In 2023, big data Is no longer a luxury. One survey from March 2020 showed that 67% of small businesses spend at least $10,000 every year on data analytics technology. Companies which require immediate business funding are using data analytics tools to research and better understand their options.

Big Data 105

Big Data Uncertainty Risk Data mining 105

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. Financial services: Develop credit risk models.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

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

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.

KDD 81

KDD Knowledge Discovery Data mining Data Science 81

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

Smart Data Collective

AUGUST 30, 2022

It also allows companies to offload large amounts of data from their networks by hosting it on remote servers anywhere on the globe. Cloud computing allows companies’ multiple servers to store and manage their data in a distributed fashion. Big data analytics. Multi-cloud computing. Before you go.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

datapine

JANUARY 24, 2021

Additionally, incorporating a decision support system software can save a lot of company’s time – combining information from raw data, documents, personal knowledge, and business models will provide a solid foundation for solving business problems. Now, with Data Dan, you only get to ask him three questions. Who are they?

IT 317

IT Statistics KPI Data-driven 317

Smart Data Collective

APRIL 19, 2022

Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls.

Sales 122

Sales Reporting Data mining Forecasting 122

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. What Is The Difference Between Business Intelligence And Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smart Data Collective

OCTOBER 14, 2019

Whether they want a career as an app developer or data analyst, the skillsets below can help them find lucrative careers in a competitive job market. Big Data Skillsets. From artificial intelligence and machine learning to blockchains and data analytics, big data is everywhere. Machine Learning. Other coursework.

Big Data 99

Big Data Software Data mining Prescriptive Analytics 99

CIO Business Intelligence

DECEMBER 22, 2022

DataOps goals According to Dataversity , the goal of DataOps is to streamline the design, development, and maintenance of applications based on data and data analytics. It seeks to improve the way data are managed and products are created, and to coordinate these improvements with the goals of the business.

Analytics 130

Analytics Machine Learning Data mining Software 130

Smart Data Collective

FEBRUARY 9, 2022

Analytics technology has become an invaluable aspect of modern financial trading. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. This is possible one of the best reasons to use the data analytics features provided by DirectX.

Visualization 145

Visualization Optimization Analytics Testing 145

CIO Business Intelligence

JANUARY 19, 2024

Whether you’re looking to earn a certification from an accredited university, gain experience as a new grad, hone vendor-specific skills, or demonstrate your knowledge of data analytics, the following certifications (presented in alphabetical order) will work for you. Not finding what you’re looking for?

Data Science 126

Data Science Machine Learning Predictive Modeling Forecasting 126

Smart Data Collective

SEPTEMBER 2, 2021

New advances in data analytics and data mining tools have been incredibly important in many organizations. We have talked extensively about the benefits of using data technology in the context of marketing and finance. However, big data can also be invaluable when it comes to operations management as well.

Big Data 133

Big Data Cost-Benefit Data-driven Data mining 133

Smart Data Collective

JANUARY 11, 2023

billion on big data marketing in 2020 and this figure is likely to grow further in the years to come. Some of the case studies on the benefits of data-driven marketing are quite promising. One tourist company utilized data analytics to boost website conversions by 40%. Use AI and Data Analytics for Video Marketing.

Data-driven 122

Data-driven Marketing Advertising Big Data 122

CIO Business Intelligence

OCTOBER 26, 2023

Business intelligence (BI) analysts transform data into insights that drive business value. 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

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. However, companies need to use big data wisely.

Big Data 142

Big Data B2B Data mining Sales 142