Smart Data Collective

AUGUST 25, 2020

Before the turn of the century, the reliance on data technology was little more than nonexistent. Web developers utilized data to some capacity as well, but marketers rarely considered doing so. Big data has become critical to the evolution of digital marketing. This data can play a very important role in SEO.

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Data mining Metadata Big Data ROI 137

Smart Data Collective

DECEMBER 23, 2023

Data mining technology has significantly disrupted the way many people live. We talked about how many companies are mining customer data to provide higher quality services to them. However, customers can benefit from data mining as well.

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Data mining Technology Big Data 122

Smart Data Collective

MARCH 23, 2022

Advancements in technology have allowed it to store and collect databases in many fields. If we count the number of data on the web, it is probably a number that we have never heard of. However, it’s all about the quality and not the quantity when collecting data. 5 data mining tips for leveraging your surveys.

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Data mining Marketing Data Collection Insurance 133

Analytics Vidhya

MAY 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction Text Mining is also known as Text Data Mining or Text Analytics or is an artificial intelligence (AI) technology that uses natural language processing (NLP) to extract essential data from standard language text.

Unstructured Data 304

Unstructured Data Data mining Data Science Publishing 304

Smart Data Collective

OCTOBER 2, 2020

Data mining has led to a number of important applications. One of the biggest ways that brands use data mining is with web scraping. Towards Data Science has talked about the role of using data mining tools with web scraping. They make it much easier to make numerous data mining requests.

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Data mining Cost-Benefit Big Data Data Processing 104

Smart Data Collective

APRIL 16, 2024

Data mining technology is a huge benefit for dropshipping companies that are trying to find new products.

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Data mining Technology Big Data 84

Smart Data Collective

FEBRUARY 1, 2023

But big data can also help demonstrate the importance of pursuing a degree in business as well. Data analytics technology is constantly shedding new insights into our lives. Many things are well observed through anecdotal experiences, but we have had a hard time proving them before data analytics technology became mainstream.

Analytics Technologies 145

Analytics Technologies Data Analytics Technology Analytics 145

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

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Data mining KDD Data Science Forecasting 77

Smart Data Collective

AUGUST 30, 2022

The market for cloud technology is booming. Enterprise cloud technology applications are the future industry standard for corporations. Here’s how enterprises use cloud technologies to achieve a competitive advantage in their essential business applications. Data streaming. Centralized data storage.

Technology 140

Technology Enterprise Cost-Benefit Data Processing 140

Smart Data Collective

MAY 11, 2023

The good news is that big data technology is helping banks meet their bottom line. Therefore, it should be no surprise that the market for data analytics is growing at a rate of nearly 23% a year after being worth $744 billion in 2020. Big data can help companies in the financial sector in many ways.

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Data mining Big Data Sales Cost-Benefit 116

Smart Data Collective

APRIL 8, 2020

This data is then processed, transformed, and consumed to make it easier for users to access it through SQL clients, spreadsheets and Business Intelligence tools. Data warehousing also facilitates easier data mining, which is the identification of patterns within the data which can then be used to drive higher profits and sales.

Technology 144

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Smart Data Collective

SEPTEMBER 9, 2020

From intelligent machines and automated cars to genetic modification and 3D printing, there’s a significant technological power shift everywhere at a rapid pace. The technology brings a shift in the way we do things, live and connect with each other. Healthcare will be Effective. Better Standards of Education.

Technology 139

Technology Data mining Insurance Machine Learning 139

Smart Data Collective

SEPTEMBER 17, 2023

Big data technology has disrupted the marketing profession in countless ways. We have talked extensively about the benefits of data analytics in SEO. Therefore, it should be no surprise that the marketing analytics market size is projected to double from $3.2 billion in 2021 to $6.4 billon by 2026.

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Data mining Cost-Benefit Marketing Big Data 126

Smart Data Collective

JULY 19, 2021

Data analytics technology has been very beneficial for many consumers around the world. You can use data mining and analytics technology to make more informed decisions about purchases that you intend to make. They can also use this technology to determine whether it is safe to use a particular Fintech website.

Data Analytics 137

Data Analytics Data mining Analytics Analytics Technologies 137

Smart Data Collective

MAY 21, 2021

New advances in data analytics and a wealth of outsourcing opportunities have contributed. Shrewd software developers are finding ways to integrate data analytics technology into their outsourcing strategies. Some creative ways to weave data analytics into a software development outsourcing approach are listed below.

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Software Data Analytics Analytics Data mining 131

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. Business analytics is a subset of data analytics. What is business analytics? The discipline is a key facet of the business analyst role.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Jen Stirrup

SEPTEMBER 30, 2021

Now that’s done, let’s try and relate it to technology that you already know. If you’ve previously done work in SQL Server Analysis Services, you will know that Analysis Services had data mining functionality. Excel specialists may know that Excel also has a series of Data Mining Add-ins.

Business Intelligence 135

Business Intelligence Data mining Machine Learning Testing 135

CIO Business Intelligence

DECEMBER 20, 2024

On the other hand, DMBOK 2 defines data modeling as, the process of discovering, analyzing, representing, and communicating data requirements in a precise form called the data model. Data modeling takes a more focused view of specific systems or business cases. Data integrity. Scalable data pipelines.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

Rocket-Powered Data Science

JULY 6, 2021

This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade. These data-fueled innovations come in the form of new algorithms, new technologies, new applications, new concepts, and even some “old things made new again”.

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Machine Learning Data-driven Deep Learning IoT 279

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. Set Goals and Develop a Strategy with Data Mining.

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Smart Data Collective

DECEMBER 22, 2021

Startups need to take advantage of the latest technology in order to remain competitive. Big data technology is one of the most important forms of technology that new startups must use to gain a competitive edge. The success of your startup might depend on your ability to use big data to your full advantage.

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Smart Data Collective

AUGUST 24, 2021

Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. Data analytics technology can make it easier to choose the best cryptocurrency for long-term gains.

Analytics 135

Analytics Data mining Predictive Analytics Analytics Technologies 135

Smart Data Collective

JUNE 29, 2022

Big data technology is leading to a lot of changes in the field of marketing. A growing number of marketers are exploring the benefits of big data as they strive to improve their branding and outreach strategies. Email marketing is one of the disciplines that has been heavily touched by big data. Personalize Your Emails.

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B2B Data-driven Marketing Strategy 124

Smart Data Collective

JUNE 15, 2021

Data-driven organizations are looking for new ways to use data technology to improve their operations. Big data can play a very important role in solving these challenges. Pre-employment screening with data mining tools increases the quality of candidates. One bad hire can cost a company quite a lot.

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CIO Business Intelligence

NOVEMBER 14, 2022

The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more. Decision support systems are generally recognized as one element of business intelligence systems, along with data warehousing and data mining.

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Data mining Data-driven Statistics OLAP 144

Smart Data Collective

NOVEMBER 1, 2020

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. Hidden Markov Model – Pattern Recognition, Bioinformatics, Data Analytics. Source ].

Machine Learning 145

Machine Learning Data mining Visualization Statistics 145

Smart Data Collective

FEBRUARY 28, 2023

Data analytics technology has had a profound impact on the state of the financial industry. A growing number of financial institutions are using analytics tools to make better investing decisions and insurers are using analytics technology to improve their underwriting processes.

Analytics 126

Analytics Data mining Finance Analytics Technologies 126

Smart Data Collective

MARCH 5, 2022

Here are some reasons that data scientists will have a strong edge over their competitors after starting a dropshipping business: Data scientists understand how to use predictive analytics technology to forecast trends. Data scientists know how to leverage AI technology to automate certain tasks.

Data mining 145

Data mining Big Data Data-driven Data Science 145

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. You should use big data to improve your outsourcing models by data mining pools of talented employees. Here’s why.

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Smart Data Collective

MAY 3, 2021

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 has made it easier to identify new opportunities in the gig economy. are your thoughts?

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Big Data Data mining Cost-Benefit Insurance 130

Smart Data Collective

FEBRUARY 21, 2020

Big data has created new technology every year, which is helping these engineers. Advanced Communication Data mining tools like Hadoop. Engineers with knowledge of Hadoop and other data mining tools can earn even more. Database Design Electronic System Management. Overview: So, there you have it!

Big Data 142

Big Data Data mining IoT Testing 142

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Career Relevance.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. 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.

Analytics 133

Analytics Data mining Analytics Technologies Sales 133

Smart Data Collective

DECEMBER 19, 2021

Likewise, Python is a popular name in the data preprocessing world because of its ability to process the functionalities in different ways. Besides, libraries like Pandas and Numpy make Python one of the most efficient technologies available in the market. Hence, data preprocessing is essential and required.

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Optimization Machine Learning Data mining Statistics 141

Smart Data Collective

MARCH 2, 2023

Big data technology used to be a luxury for small business owners. 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. Big data technology can significantly improve the company’s pricing strategy.

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Smart Data Collective

DECEMBER 29, 2021

Big data has become a very important part of modern business. Companies are using big data technology to improve their human resources, financial management and marketing strategies. Digital marketing , in particular, is very dependent on big data. One of the most important big data applications in marketing is with SEO.

Big Data 145

Big Data Marketing Data mining Data-driven 145

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.

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Sales Reporting Data mining Forecasting 122