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. Energy: Forecast long-term price and demand ratios. Forecast financial market trends.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

CIO Business Intelligence

JUNE 7, 2022

It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. It is frequently used for risk analysis.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Has the cost of data installation and maintenance increased with each passing day at your company? What exactly is Big Data, but why is it so important? Enterprise-wide Big Data Analytics solutions are being implemented.

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

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. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

CIO Business Intelligence

MAY 12, 2022

The tools include sophisticated pipelines for gathering data from across the enterprise, add layers of statistical analysis and machine learning to make projections about the future, and distill these insights into useful summaries so that business users can act on them. More focused options are available for particular data sets.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

Smart Data Collective

JUNE 4, 2021

These data models predict outcomes of new data. Data science is one of the highest-paid jobs of the 21st century. Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Here are the chronological steps for the data science journey.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

IBM Big Data Hub

JULY 6, 2023

While data science and machine learning are related, they are very different fields. In a nutshell, data science brings structure to big data while machine learning focuses on learning from the data itself. What is data science? It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 58

Machine Learning Data Science Statistics Deep Learning 58

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 83

Data Science Data Analytics Prescriptive Analytics Analytics 83

IBM Big Data Hub

DECEMBER 18, 2023

GIS perform spatial analysis of geospatial datasets—consisting of vector data (points, lines and polygons) and raster data (cells with spatial information)—to produce connected visualizations. The data from this soil and water analysis helps farmers improve yields while reducing costs and pollution runoff.

Internet of Things 104

Internet of Things IoT Forecasting Visualization 104

FineReport

MARCH 24, 2024

Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making. Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smart Data Collective

JUNE 28, 2021

When the company released its first-quarter fiscal year 2021 earnings, the statistics showed a 74% increase in e-commerce orders… Successful retailers know the importance of giving above-average service, whether a person shops online or in stores. Data Centers Are the Key to Formulating New Customer Insights.

Management 87

Management Big Data Data Processing Advertising 87

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 121

Predictive Analytics Analytics Predictive Modeling Data mining 121

Rocket-Powered Data Science

MARCH 19, 2021

Focus on the technologies and engineering components: e.g., sensors, monitoring, cloud-to-edge, microservices, serverless, insights-as-a-service APIs, IFTTT (IF-This-Then-That) architectures.

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

Smart Data Collective

NOVEMBER 26, 2021

With the “big data” or insurmountable, high-volume amount of information, data analytics plays a crucial role in many business aspects, including revenue marketing. Data analytics refers to the systematic computational analysis of statistics or data. It lays a core foundation necessary for business planning.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

IBM Big Data Hub

JANUARY 25, 2024

2 Unless your demand forecasting is accurate, adopting a reactive approach might prove less efficient. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? Do you have purpose-built algorithms to improve intermittent and variable demand forecasting?

Optimization 80

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 80

Smart Data Collective

MAY 22, 2019

The marketing profession has been influenced by big data more than almost any other field. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities. In the age of big data, marketers are able to take advantage of much more sophisticated analytics capabilities.

Optimization 78

Optimization Marketing Big Data Machine Learning 78

Smart Data Collective

NOVEMBER 24, 2020

Business intelligence software will be more geared towards working with Big Data. Data Governance. One issue that many people don’t understand is data governance. It is evident that challenges of data handling will be present in the future too. Below we break down the latest trends in business intelligence.

Business Intelligence 130

Business Intelligence Visualization Dashboards Prescriptive Analytics 130

Smart Data Collective

JULY 24, 2023

With the staggering statistics revealing that a significant portion of young adults, with 58% of those aged 16-24 and 49% of individuals aged 25-34 , now follow athletes on social media, it’s evident that the influence of these platforms in the world of sports is undeniable.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI models can be designed to detect anomalies in real-time site performance data.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

Smart Data Collective

NOVEMBER 14, 2019

The digital gaming industry has undergone jolting changes over the past decade, as more organizations are looking towards data driven solutions. Gaming organizations have started to use big data to develop a deeper understanding of target customers. Time series models that attempt to forecast future variable behavior.

Predictive Analytics 79

Predictive Analytics Analytics Forecasting Modeling 79

IBM Big Data Hub

SEPTEMBER 13, 2023

When the payments infrastructure is digitized, payments management, cash forecasting and other payment operations improve. As clients further digitize legacy infrastructure, they start to get data faster and more consistently (even in real-time).

Forecasting 80

Forecasting Statistics Modeling Data Processing 80

IBM Big Data Hub

DECEMBER 19, 2023

Regression modeling is a statistical tool used to find the relationship between labeled data and variable data. It functions through the assumption that similar data points will be found near each other. If a data point appears further away from a dense section of points, it is considered an anomaly.

Machine Learning 70

Machine Learning Optimization Unstructured Data Sales 70

Smart Data Collective

OCTOBER 7, 2023

Behavioral Patterns: AI algorithms, especially when combined with Big Data, can observe and analyze a person’s online activities – from their shopping habits to their search queries – to predict future actions.

Technology 92

Technology Snapshot Data-driven Machine Learning 92

AWS Big Data

MARCH 12, 2024

In recent years, data lakes have become a mainstream architecture, and data quality validation is a critical factor to improve the reusability and consistency of the data. The schema replicates some of the most common attributes found in financial market data such as instrument ticker, traded volumes, and pricing forecasts.

Data Quality 92

Data Quality Measurement Testing Visualization 92

AWS Big Data

FEBRUARY 6, 2023

Use case overview Migrating Hadoop workloads to Amazon EMR accelerates big data analytics modernization, increases productivity, and reduces operational cost. Refactoring coupled compute and storage to a decoupling architecture is a modern data solution. Jiseong Kim is a Senior Data Architect at AWS ProServe.

Cost-Benefit 52

Cost-Benefit Data Lake Dashboards Big Data 52

IBM Big Data Hub

FEBRUARY 13, 2024

Like diligent students, these generative models soak up information and identify patterns, structures and relationships between data points, which is how they learn the grammar of poetry, artistic brushstrokes and musical melodies. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

Jen Stirrup

SEPTEMBER 19, 2019

Here are the topics we’ll cover: Introduction to Analytics with the Microsoft Data Platform. Essential Business Statistics for Analytics Success – the important statistics that business users use often in business spheres, such as marketing and strategy.

Business Analytics 40

Business Analytics Analytics Statistics Dashboards 40

FineReport

DECEMBER 9, 2021

Business Analyst: The person who provides expertise in data validation, processing, and visualization to other team members and who translates analysis into actionable insights. Data Scientist: A person who uses analytics, statistical tools, and machine learning to extract actionable value from big data.

Strategy 98

Strategy Business Intelligence KPI Key Performance Indicator 98

Smart Data Collective

FEBRUARY 14, 2023

The gaming industry is among those most affected by breakthroughs in data analytics. A growing number of gaming developers are utilizing big data to make their content more engaging. It is no wonder these companies are leveraging big data, since gamers produce over 50 terabytes of data a day.

Big Data 117

Big Data Data Analytics Analytics Testing 117

Jet Global

AUGUST 4, 2023

Providing valuable insights from data that moves the business forward in achieving its strategic objectives is one of the most valuable skills any FP&A or Operational Planning (OP) professional can possess. Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.

Data Analytics 52

Data Analytics Analytics Finance Visualization 52

Smart Data Collective

JUNE 15, 2022

Following is a detailed look at some of the benefits of taking a data-driven approach in a retail business. Forecast customer behavior. Consumer data gives you a glimpse into future customer behavior by allowing you to examine it for trends. This may include purchase history, customer habits, and other crucial data points.

Advertising 97

Advertising Cost-Benefit ROI Sales 97

datapine

NOVEMBER 5, 2019

In fact, according to eMarketer, 40% of executives surveyed in a study focused on data-driven marketing, expect to “significantly increase” revenue. Not to worry – we’ll not only explain the link between big data and business performance but also explore real-life performance dashboard examples and explain why you need one (or several).

Dashboards 220

Dashboards Cost-Benefit Sales Metrics 220

Smart Data Collective

OCTOBER 8, 2021

However, they do not call for price forecasts or predictions, making them easy to implement. That said; some of the commonly used historical data analysis methods used by hedge funds include the use of: Custom software such as Python and R; Robust trading platforms, such as MetaTrader 5 for hedge funds ; Efficient back-testing software.

Machine Learning 113

Machine Learning Testing Strategy Modeling 113

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Essential Big Data And Data Analytics Insights. million searches per day and 1.2

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Rita Sallam

JULY 22, 2016

Not sure about that, but Sisense is well suited for easily harmonizing, combining and modeling many different, complex and large data sets for fast interactive analysis. Sisense supports a wide range of relational, NoSQL and big data sources.

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

Smart Data Collective

MARCH 11, 2022

There is no disputing that data analytics is a huge gamechanger for companies all over the world. Global businesses are projected to spend over $684 billion on big data by 2030. There are many ways that companies are using big data to boost their profitability. Do you know what motivates your customers?

Customer Analytics 116

Customer Analytics Analytics Key Performance Indicator Big Data 116

FineReport

JULY 18, 2022

FineBI is a business intelligence tool for self-service big data analysis and data visualization. Key features: As a professional data analysis tool, FineBI successfully meets business people’s flexible and changeable data processing requirements through self-service datasets. SAS Forecasting.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52