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 306

Sales Data Mining Analysis Competitive 306

CIO

SEPTEMBER 5, 2024

In 2013, the company began a process of technological change that affected all its systems — ERP, e-commerce, and the hotel management platform in all establishments — with the aim to create a strong core ecosystem, with highly efficient processes, to allow it to scale and remain competitive.

Hospitals 397

Hospitals Banking Finance Data Mining 397

Smart Data Collective

APRIL 5, 2022

A search engine marketing firm helps with market analysis, designing, running, and managing campaigns, along with reporting results. If you search for ‘ways to increase online visibility’, you will surely come across data-driven search engine marketing as a technique. Understand the Market with Data Analytics Tools.

Knowledge 360

Knowledge Marketing Marketing Data Mining 360

CIO

AUGUST 9, 2022

According to data from PayScale , the following data engineering skills are associated with a significant boost in reported salaries: Ruby: +32% Oracle: +26% MapReduce: +26% JavaScript: +24% Amazon Redshift: +21% Apache Cassandra: +18% Apache Sqoop: +12% Data Quality: +11% Apache HBase: +10% Statistical Analysis: +10% Data engineer certifications.

Knowledge 493

Knowledge Data Mining Algorithm Capital 493

Smart Data Collective

JANUARY 2, 2023

Data analytics technology has made keyword research more effective than ever. A number of tools like Ahrefs and SEMRush use data analytics algorithms to aggregate information on monthly search volume, competition, average CPC and other data on relevant keywords. Every day many competitive products appear.

Algorithm 349

Algorithm Data Mining Competitor Analysis Analysis 349

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 349

Predictive Analytics Pharmaceutical Data Mining Algorithm 349

CIO

JANUARY 19, 2024

Companies are increasingly eager to hire data professionals who can make sense of the wide array of data the business collects. If you’re looking to get into this lucrative field, or want to stand out from the competition, certification can be key.

Knowledge 476

Knowledge Data Mining Predictive Analytics Learning 476

Smart Data Collective

OCTOBER 14, 2019

For current and future software development companies that want to be knowledgeable about using data and analysis, a few big data skillsets will help give them leverage in the coming year. That, along with data mining can help if the developer wants to work with supply chains, for example. Quantitative Analysis.

Data Mining 248

Data Mining Retail Knowledge Analysis 248

mention

AUGUST 28, 2024

Context analysis might be just what you need! Context analysis, also known as contextual analysis, examines industry trends, competitors, and market opportunities to provide a complete picture. With context analysis, you can spot threats and challenges before they become problems and seize new growth opportunities.

Analysis 147

Analysis SWOT Competitor Analysis Brainstorming 147

Smart Data Collective

FEBRUARY 9, 2022

A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge. If your trade analysis and trials are a pain in the neck or you barely register any results, you’ll undoubtedly be looking for ways to change things up.

Algorithm 363

Algorithm Loss Data Mining Analysis 363

Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. So, let’s have a close look at some of the best strategies to work with large data sets. Preserve information: Keep your raw data raw.

Data Mining 326

Data Mining Analysis Data Analysis Management 326

CIO

MAY 30, 2024

Among the key growth factors are increased demand for process efficiency and the integration of artificial intelligence into process mining solutions. AI enhances process mining by automating complex data analysis, uncovering intricate patterns, and predicting process behavior, according to the report.

Business 528

Business IT Analysis Management 528

Smart Data Collective

AUGUST 31, 2021

However, big data technology can be just as important in the arena of content marketing. It might work for a while – using the same ideas as your competition, creating similar content, and approaching the same audience. This is where data-driven content marketing strategies can prove fruitful. Craft a plan for your content.

Marketing 362

Marketing Marketing Competitor Analysis Data Mining 362

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Exploratory Data Analysis.

Algorithm 333

Algorithm Travel Commerce Analysis 333

Smart Data Collective

FEBRUARY 19, 2020

They also need to understand that big data has both created new opportunities and challenges. While big data has made P2P lending possible, it has also made loans more competitive. Banks use data mining to learn everything possible about their customers, so they can deny loans more easily.

Business 296

Business Banking Data Mining Capital 296

Smart Data Collective

JANUARY 19, 2022

You won’t be able to sustain a competitive edge without a background in big data. You need an experienced data-driven marketing strategist who knows everything about product strategy and will help you get from point A to point B with great success. A number of data mining tools make it easier to understand the market.

Marketing 311

Marketing Marketing Due Diligence Predictive Analytics 311

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. Big data and AI have a direct relationship.

Data Mining 306

Data Mining Data Analysis Analysis Algorithm 306

Smart Data Collective

DECEMBER 4, 2019

One of the hot topics on the conference circuit today is how business owners and principals can use predictive analysis to run their respective businesses. In the sections below, we will discuss the use of predictive analysis and how it has changed the way conferences are run. Practical Uses of Predictive Analysis.

Predictive Analytics 187

Predictive Analytics Data Mining Gaming Travel 187

Smart Data Collective

OCTOBER 15, 2021

Countless companies are utilizing big data to improve many aspects of their business. Some of the best applications of data analytics and AI technology has been in the field of marketing. Data-Driven Marketing is More Important than Ever. This is one of the ways that big data can be most helpful.

Business 362

Business Marketing Marketing Data Mining 362

Netbasequid

AUGUST 26, 2021

A benchmarking analysis measures your performance in a specific area and compares it against industry standards or competitive performance. Here, we’ll explore how to measure your brand’s success with our comprehensive guide to benchmarking analysis. Benchmarking analysis tools. What is a Benchmarking Analysis?

Benchmarking 105

Benchmarking Analysis Data Mining Sports 105

ArchIntel

AUGUST 4, 2021

LexisNexis, a data mining company , has launched a software tool designed to consolidate competitive intelligence and streamline parts of the research process. Van Der Velde added that Nexis augments every step of the competitive intelligence process. ArchIntel™ -.

Competitive Intelligence 104

Competitive Intelligence Intellectual Property Competitive Intelligence 104

Smart Data Collective

SEPTEMBER 21, 2022

One analysis indicates that 90% of companies have made investments in AI and 37% actively deploy it. The AI sector has become very competitive. Below are a few examples of job specific skills you should look for when you read applicants’ CVs and cover letters, depending on the role you’re hiring for: Data Analysis.

Startups 258

Startups Copywrite Data Mining Algorithm 258

ArchIntel

FEBRUARY 3, 2021

The research and consulting firm attributes this growth to the increasing demand for rapid decision-making solutions in the health care industry and the need for more data mining applications to provide better patient care. Compared to its market value in 2019, which stood at $5.4

Globalization 187

Globalization Data Mining Marketing Marketing 187

Netbasequid

MAY 24, 2022

Competitor analysis is a methodical examination of your category to see where your company stands. A comprehensive competitor analysis looks at the competition in terms of products, features, prices, technology, marketing, and other details that may give competitors an edge over your business. Let’s dive in!

Competitor Analysis 98

Competitor Analysis Analysis SWOT Data Mining 98

Alpha Sense BI

DECEMBER 13, 2022

In the age of data, business intelligence is about more than just having the right information — it’s about uncovering and analyzing the exact crucial insights you need to help inform business decisions, stay ahead of market-moving trends, and keep an edge on the competition. That’s where market analysis tools come in.

Analysis 97

Analysis Marketing Marketing Primary Research 97

Datapine Blog

MARCH 25, 2019

With so much data and so little time, knowing how to collect, curate, organize, and make sense of all of this potentially business-boosting information can be a minefield – but online data analysis is the solution. Exclusive Bonus Content: Why Is Analysis Important? What Is A Data Analysis Method?

Data Analysis 87

Data Analysis Analysis Business Data Mining 87

AIM

JUNE 6, 2022

AIM’s staff of intelligence specialists, librarians, and technical consultants tackle projects involving primary research, market studies, competitive assessments, in-depth industry analysis, and technical intelligence data mining, among others.

Information 98

Information Intelligence Intelligence Management 98

ArchIntel

JUNE 8, 2021

The EENA executive explained that SOCMINT deals with concepts like data mining, data analytics, sentiment analysis, geo-analytics, and image and video analytics. Therefore, SOCMINT involves synthesizing large amounts of information for public safety professionals to get actionable intelligence.

Data Mining 104

Data Mining Intelligence Intelligence Analysis 104

ArchIntel

FEBRUARY 23, 2021

The vacant role also demands the services of someone able to support the market intelligence team in special projects such as data mining and analysis.

Market Intelligence 104

Market Intelligence Intelligence Intelligence Data Mining 104

Datapine Blog

MAY 14, 2019

Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek. By gaining the ability to understand, quantify, and leverage the power of online data analysis to your advantage, you will gain a wealth of invaluable insights that will help your business flourish.

Algorithm 140

Algorithm Data Analysis Knowledge Analysis 140

Zoominfo

APRIL 23, 2020

What Is Data Quality, and Why Is It Important For Sales and Marketing? You may think that a motivated sales team can easily conduct manual data mining by searching job titles and company info via Google or LinkedIn. As demonstrated, good data solves a lot of business problems! Competitive Intelligence at the Right Time.

Sales 189

Sales Intelligence Intelligence Profiling 189

Elegant BI

MAY 22, 2017

One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools. These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.

Analysis 52

Analysis Predictive Analytics Data Mining Algorithm 52

ArchIntel

DECEMBER 1, 2021

In the face of mounting global competition, the U.S.’ ’ AI industry must harness the insights provided by its competitive intelligence professionals to stay ahead of the game. Other noteworthy competitors are Japan and Canada, whose AI markets are forecasted to grow at 28.8 percent and 30.2

Globalization 104

Globalization Marketing Marketing Profiling 104

Datapine Blog

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. 3) “The Data Detective: Ten Easy Rules to Make Sense of Statistics” by Tim Harford.

Business Intelligence 117

Business Intelligence Intelligence Intelligence Business 117

Alpha Sense BI

DECEMBER 15, 2022

For anyone conducting financial research in today’s times, artificial intelligence (AI) can mean the difference between being on the cutting edge of your industry or lagging behind the competition. AI search technology can analyze millions of documents in seconds, delivering data back to the user in an organized fashion.

Research 95

Research Data Mining Knowledge Algorithm 95

Netbasequid

SEPTEMBER 12, 2022

Modern market research platforms are built on advanced AI technology that works with existing structures (whatever state they currently exist in) to collect data in a regulated, convenient fashion. Case study: BellyBuds, a company that initially targeted expecting moms, wanted to diversify its audience. Risk tracking.

Marketing Research 98

Marketing Research Market Research Research Due Diligence 98

Datapine Blog

MAY 29, 2019

That’s a fact in today’s competitive business environment that requires agile access to a data storage warehouse , organized in a manner that will improve business performance, deliver fast, accurate, and relevant data insights. One of the BI architecture components is data warehousing. Data integration.

Business Intelligence 78

Business Intelligence Intelligence Intelligence Business 78