Rocket-Powered Data Science

MARCH 19, 2021

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. There are a number of tools available on the market, and knowing which one to choose to increase performance can be time-consuming, and often confusing. Source: RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

FEBRUARY 6, 2025

In retail, they can personalize recommendations and optimize marketing campaigns. Even basic predictive modeling can be done with lightweight machine learning in Python or R. In life sciences, simple statistical software can analyze patient data. These potential applications are truly transformative. You get the picture.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Analytics Forecasting 83

Smarten

JULY 30, 2024

Giving your team access to sophisticated, complex analytical techniques in an intuitive environment, allows them to leverage predictive analytics without a data scientist or analytical background.’ That’s why your business needs predictive analytics. And, not just any predictive analytics!

Predictive Analytics 62

Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

Smart Data Collective

MAY 22, 2019

The marketing profession has been influenced by big data more than almost any other field. Marketers used to make decisions primarily off of conjecture because they didn’t have the detailed analytics capabilities that are available in 2019. This is one of the biggest ways big data is changing marketing.

Optimization 102

Optimization Marketing Big Data Machine Learning 102

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. At the end of the day, a dollar saved is a dollar earned.

Predictive Analytics 75

Predictive Analytics Analytics Data mining Sales 75

Smart Data Collective

JULY 24, 2023

One of the biggest ways that data analytics is changing the sports industry is that it has revolutionized social media marketing strategies employed by sports teams and leagues. Sports organizations are leveraging analytics technology to make their social media marketing strategies more efficient and improve their ROIs.

Analytics Technologies 98

Analytics Technologies Marketing Technology Analytics 98

Smart Data Collective

APRIL 2, 2023

As the global business market is set to spend $420 billion on AI-based productivity systems, it’s not hard to believe they’ll also need to bring in some fresh faces to aid in the deployment. Their skills would certainly be valued by managerial staff who need to have ready access to healthcare statistics at all hours.

Broadcasting 111

Broadcasting Marketing Technology Predictive Analytics 111

Analytics Vidhya

MARCH 27, 2023

Introduction Could the American recession of 2008-10 have been avoided if machine learning and artificial intelligence had been used to anticipate the stock market, identify hazards, or uncover fraud? The recent advancements in the banking and finance sector suggest an affirmative response to this question.

Machine Learning 380

Machine Learning Finance Marketing Analytics 380

datapine

MARCH 31, 2022

According to the US Bureau of Labor Statistics, demand for qualified business intelligence analysts and managers is expected to soar to 14% by 2026, with the overall need for data professionals to climb to 28% by the same year. The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

DataRobot Blog

NOVEMBER 8, 2022

In a world that is increasingly outcome-focused and platform-based, we have integrated strategy and predictive analytics to move at the speed of our clients’ decisions and established a scalable framework for uncovering and acting on insights in an organized, simple, and transparent operating model.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

CIO Business Intelligence

JULY 5, 2022

What is business analytics? 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 business intelligence? This is the purview of BI.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Market Changes. Descriptive Statistics. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Birst BI

OCTOBER 30, 2018

An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. While descriptive analytics are focused on historical performance, predictive analytics are about predicting future outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

datapine

DECEMBER 4, 2019

Each year, we hear about buzzwords that enter the community, language, market and drive businesses and companies forward. Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? The commercial use of predictive analytics is a relatively new thing. in the last 5 years.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Rocket-Powered Data Science

MARCH 10, 2020

Consider this marketing attribution use case: person A sees the marketing campaign, person A talks about it on their social media account, person B is connected to person A and sees the comment, and subsequently person B buys the product. How does one express “context” in a data model? The campaign looks like a failure.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Rocket-Powered Data Science

OCTOBER 6, 2023

What is the point of those obvious statistical inferences? The point is that the 100% association between the event and the preceding condition has no special predictive or prescriptive power. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Statistics 157

Smarten

SEPTEMBER 28, 2022

Apply Predictive Analytics to Specific Business Use Cases for Real Results! Gartner has predicted that, ‘Overall analytics adoption will increase from 35% to 50%, driven by vertical and domain-specific augmented analytics solutions.’ Plan and forecast accurately.’. Customer Churn. Quality Control. Demand Planning.

Predictive Analytics 52

Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

FEBRUARY 20, 2025

In addition, they can use statistical methods, algorithms and machine learning to more easily establish correlations and patterns, and thus make predictions about future developments and scenarios. Changes in the labor market. Kastrati: The labor market will change even more than it does today. Internal developments.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Where to Use Data Science? Where to Use Data Mining?

Data mining 144

Data mining Data Science Informatics Statistics 144

datapine

JANUARY 6, 2022

Based on that amount of data alone, it is clear the calling card of any successful enterprise in today’s global world will be the ability to analyze complex data, produce actionable insights and adapt to new market needs… all at the speed of thought. Business dashboards are the digital age tools for big data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

O'Reilly on Data

MARCH 18, 2020

Two functional areas—marketing/advertising/PR and operations/facilities/fleet management—see usage share of about 20%. data cleansing services that profile data and generate statistics, perform deduplication and fuzzy matching, etc.—or Respondents were encouraged to make multiple selections.) or function-as-a-service designs.

Enterprise 350

Enterprise Deep Learning Data Governance Risk 350

Smart Data Collective

MAY 13, 2022

In addition, they can understand the correlations with other statistics, helping them make changes in their product offerings, pricing, and marketing thrusts. Takes advantage of predictive analytics. They can use predictive analytics to closely study their current situation and forecast future results. .

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

Smarten

JUNE 27, 2023

Give Your Team Assisted Predictive Analytics with Easy-to-Use Algorithms and Techniques! In order to get the most out of a self-serve analytical solution, your team members will leverage many types of tools. A comprehensive augmented analytics solution should include a full suite of assisted predictive analytics tools.

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Testing 52

Smart Data Collective

MARCH 27, 2023

Data Scientists and Analysts use various tools such as machine learning algorithms, statistical modeling, natural language processing (NLP), and predictive analytics to identify trends, uncover opportunities for improvement, and make better decisions.

Data Science 119

Data Science Statistics Data-driven Machine Learning 119

Smart Data Collective

AUGUST 10, 2021

. ‘Although companies in healthcare, IT and finance are some of the biggest investors in analytics technology, plenty of other sectors are investing in analytics as well. Analytics Becomes Major Asset to Companies Across All Sectors. The most significant benefit of statistical analysis is that it is completely impartial.

Data Analytics 137

Data Analytics Analytics Big Data Key Performance Indicator 137

datapine

NOVEMBER 19, 2019

If you don’t pay attention to new changes or keep up the pace, it’s easy to fall behind the times (and the market) while other companies beat you to the punch. Visual analytics: Around three million images are uploaded to social media every single day. The modern world is changing more and more quickly with each passing year.

Technology 279

Technology Internet of Things IT IoT 279

CIO Business Intelligence

NOVEMBER 13, 2023

Increase sales A prime example is marketing personalization, which can increase sales by up to 20% and customer loyalty by up to 15%. 3 The ability to perform real-time analytics and artificial intelligence (AI) on customer data at the point of creation enables hyper-personalized interactions at scale. May 2022. [2] May 2022. [2]

Cost-Benefit 131

Cost-Benefit Sales Data-driven Statistics 131

CIO Business Intelligence

NOVEMBER 14, 2022

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. They generally leverage simple statistical and analytical tools, but Power notes that some OLAP systems that allow complex analysis of data may be classified as hybrid DSS systems. ERP dashboards.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Business Over Broadway

SEPTEMBER 27, 2018

Retention marketing is about preventing your valuable customers from churning. In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Most customer data, however, are housed in separate data silos.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

Smart Data Collective

FEBRUARY 21, 2020

Market Analytics and Profitability. Another breakthrough has been statistical analysis as it relates to the stock market and other investments. Customer Perks. Many financial institutions are also using big data to make life easier for their customers.

Big Data 144

Big Data Machine Learning Statistics Predictive Analytics 144

Domino Data Lab

JANUARY 24, 2019

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. Reflections. The three segments that have crystallized are: Automation tools. Automation Tools.

Data Science 65

Data Science Marketing Data-driven Statistics 65

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

datapine

NOVEMBER 5, 2019

Studies suggest that businesses that adopt a data-driven marketing strategy are likely to gain an edge over the competition and in turn, increase profitability. In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. click to enlarge**.

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Smart Data Collective

MARCH 11, 2022

One of the most important is in the field of marketing. Companies frequently use analytical tools to gather customer data from across the organization and provide important insights. Marketing, product development, and customer experience should all benefit from these discoveries. Do you know what motivates your customers?

Customer Analytics 130

Customer Analytics Analytics Key Performance Indicator Big Data 130