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 268

Sales Data Mining Analysis Competitive 268

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

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 786

Knowledge Data Mining Algorithm Capital 786

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 310

Algorithm Data Mining Competitor Analysis Analysis 310

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

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 317

Knowledge Marketing Marketing Data Mining 317

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 188

Data Mining Retail Knowledge Finance 188

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 332

Algorithm Loss Data Mining Analysis 332

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 304

Predictive Analytics Pharmaceutical Data Mining Algorithm 304

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 135

Predictive Analytics Data Mining Gaming Travel 135

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

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 265

Data Mining Data Analysis Analysis Finance 265

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

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 244

Marketing Marketing Due Diligence Predictive Analytics 244

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.

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Algorithm Travel Commerce Analysis 262

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.

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Startups Copywrite Data Mining Algorithm 213

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 251

Business Banking Data Mining Capital 251

Smart Data Collective

MAY 11, 2023

Health and life insurance have seen significant advances in Big Data use in recent years. The banking sector, in particular, can use big data technology to improve the actuarial analysis of the loan underwriting and approval process. This includes using big data to help customer relationship management.

Data Mining 248

Data Mining Banking Competitive Landscape Predictive Analytics 248

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 349

Business Marketing Marketing Data Mining 349

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

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

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

Netbasequid

JULY 24, 2023

And pharmaceutical analytics can help brands stand out amid growing competition to unlock previously hidden opportunities. Let’s discuss the benefits of using data-driven insights in your business, the different areas where analytics plays a crucial role in Pharma, and key techniques to use for better results.

Pharmaceutical 52

Pharmaceutical Business Competitor Analysis Competitive Landscape 52

CIO

JANUARY 20, 2023

A strong BI strategy can deliver accurate data and reporting capabilities faster to business users to help them make better business decisions in a more timely fashion. Increased competitive advantage: A sound BI strategy can help businesses monitor their changing market and anticipate customer needs.

Business Intelligence 888

Business Intelligence Intelligence Intelligence Business 888

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.

Market Research 98

Market Research Marketing Research Research Due Diligence 98

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.

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Algorithm Data Analysis Knowledge Analysis 140

Elegant BI

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales. How is Advanced Analytics Different from Business Intelligence?

Business Intelligence 52

Business Intelligence Intelligence Intelligence Predictive Analytics 52

Datapine Blog

MARCH 31, 2022

This all-encompassing branch of online data analysis is a particularly interesting field because its roots are firmly planted in two separate areas: business strategy and computer science. Data Analysis : Most BI skills and intelligence analyst-related skills are about using data to make better decisions.

Business Intelligence 95

Business Intelligence Intelligence Intelligence Business 95

Netbasequid

MAY 14, 2021

The competition is fierce today and without competitive monitoring you won’t know what your competition is up to. And with the room becoming increasingly crowded with challenger brands, there’s never been a better time to have competitive intelligence on your side. Google Keyword Planner. Followerwonk. Link Explorer.

Competitive Intelligence 64

Competitive Intelligence Win Competitive Data Mining 64

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.

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Analysis Marketing Marketing Primary Research 97

Elegant BI

MARCH 15, 2015

In Parts I thru IV of this article series, we discussed the need for expanding SMEs to consider an integrated Business Intelligence Solution that will provide more comprehensive, sophisticated, personalized and mobile views and analysis of integrated data from Tally ERP and other enterprise solutions.

Data Mining 40

Data Mining Business Intelligence Capital Analysis 40

Elegant BI

SEPTEMBER 3, 2014

Whether the solution was user-friendly or supportive of an end-user’s role, the employee had no say in adopting and embracing the software and using it for everyday business analysis. Today, users play a very important role in informing the direction technology will take within an organization.

Business Intelligence 52

Business Intelligence Business Intelligence Intelligence 52

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?

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Data Analysis Analysis Business Data Mining 87

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 247

Data Mining Analysis Data Analysis Management 247

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.

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Business Intelligence Intelligence Intelligence Business 117

Datapine Blog

AUGUST 29, 2022

Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. trillion each year.

Data Mining 105

Data Mining Predictive Analytics Startups Data Analysis 105

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.

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Data Mining Intelligence Intelligence Analysis 104