David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Key Performance Indicator 299

Key Performance Indicator Optimization Analytics Statistics 299

Analytics Vidhya

JUNE 1, 2023

With franchise leagues like IPL and BBL, teams rely on statistical models and tools for competitive edge. This article explores how data analytics optimizes strategies by leveraging player performances and opposition weaknesses. Introduction Cricket embraces data analytics for strategic advantage.

Predictive Modeling 284

Predictive Modeling Modeling Statistics Optimization 284

David Menninger's Analyst Perspectives

SEPTEMBER 23, 2021

Sisu Data is an analytics platform for structured data that uses machine learning and statistical analysis to automatically monitor changes in data sets and surface explanations. It can prioritize facts based on their impact and provide a detailed, interpretable context to refine and support conclusions.

Machine Learning 235

Machine Learning Key Performance Indicator Optimization Analytics 235

Smart Data Collective

FEBRUARY 23, 2023

By analyzing data and extracting useful insights, brands can make informed decisions to optimize their branding strategies. This article will explore data mining and how it can help online brands with brand optimization. Conclusion Data mining is a powerful tool for online brands looking to optimize their branding strategies.

Data mining 126

Data mining Optimization Technology Marketing 126

KDnuggets

DECEMBER 5, 2023

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

Statistics 107

Statistics Testing Optimization Machine Learning 107

Smart Data Collective

OCTOBER 17, 2022

Transactional data includes first and final purchases, products, number of purchases, date, statistics, typical order value, commodity purchase history, and total spending by a consumer. It is crucial to find the optimal time to send emails. Automation. Timelessness. Data science.

Marketing 119

Marketing Optimization Data Analytics Analytics 119

Smart Data Collective

FEBRUARY 7, 2023

However, that is only the case if they are properly maintained and optimized for speed. There are a lot of resources that can help optimize the processing speed of their computers, but they need to know how to use them appropriately. Computer users can take advantage of data-driven tools to improve the performance of their devices.

Data-driven 85

Data-driven Optimization Big Data Data Analytics 85

IBM Big Data Hub

DECEMBER 19, 2023

Regression modeling is a statistical tool used to find the relationship between labeled data and variable data. The independent variable is used as a base to determine the value of the dependent variable through a series of statistical equations. can be used across industries for a variety business needs.

Machine Learning 75

Machine Learning Optimization Unstructured Data Sales 75

Smart Data Collective

DECEMBER 19, 2021

Comprehensive data processing requires robust data analysis, statistics, and machine learning. Decision-making requires proper data analysis, and Python provides the results after using its vivid functionalities like data analytics, numerical computation, scientific computation, statistical analysis, and many more.

Optimization 135

Optimization Machine Learning Data mining Statistics 135

AWS Big Data

MARCH 22, 2024

When you use Trino on Amazon EMR or Athena, you get the latest open source community innovations along with proprietary, AWS developed optimizations. and Athena engine version 2, AWS has been developing query plan and engine behavior optimizations that improve query performance on Trino. Starting from Amazon EMR 6.8.0

Metadata 86

Metadata Statistics Broadcasting Optimization 86

IBM Big Data Hub

JULY 10, 2023

The most commonly used types of alarm thresholds are absolute thresholds, trending thresholds and statistical thresholds. Statistical thresholds are derived from statistical analyses of historical data, taking into account the mean and standard deviation of vibration levels.

Optimization 63

Optimization IT Measurement Cost-Benefit 63

Ontotext

NOVEMBER 9, 2021

The best option is to ask the hard modeling questions first, and worry about optimizations later. After all, there’s no point optimizing something you never plan to use! An important rule for writing your ruleset is to keep the most specific calls first, to optimize execution time. Avoid recursion and duplications.

Optimization 52

Optimization Statistics Modeling Management 52

Smart Data Collective

AUGUST 11, 2022

However, statistics have shown that many businesses don’t receive customer payments on time. The post Using Data Analytics to Optimize Your Cash Collection Approach appeared first on SmartData Collective. One of the best benefits involves using data analytics to improve cash collection processes.

Data Analytics 115

Data Analytics Optimization Analytics Cost-Benefit 115

IBM Big Data Hub

AUGUST 7, 2023

Embracing AI for clinical trials: The elements of success By embracing three AI-enabled capabilities, biopharma companies can significantly optimize clinical trial site selection process while developing core AI competencies that can be scaled out and saving financial resources that can be reinvested or redirected. Clinical Trials.

Optimization 63

Optimization Forecasting Data-driven Strategy 63

Smart Data Collective

MAY 22, 2019

Marketers can significantly benefit from using big data to optimize their strategies on visual social networks. The problem is not that big data can’t help marketers optimize their strategies on these visual social media platforms. Marketers embrace the benefits of big data with Pinterest and Instagram.

Optimization 78

Optimization Marketing Big Data Machine Learning 78

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? Are there mitigation strategies that can be implemented successfully that could provide policy guidance and reasons for optimism in the face of ever increasing frequency of extreme weather events? Based on these estimators, SAS created an easy to use what-if dashboard.

Optimization 52

Optimization Machine Learning Insurance Risk 52

CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You should also have experience with pattern detection, experimentation in business optimization techniques, and time-series forecasting.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

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 also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

CIO Business Intelligence

APRIL 12, 2024

For financial services in the short term, generative AI specifically will allow for further automation of financial analysis and reporting, enhancement of risk mitigation efforts, and optimization of financial operations, according to a report, The implications of generative AI in Finance , by consulting firm Deloitte.

Experimentation 143

Experimentation Reporting Testing Statistics 143

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. Optimize raw material deliveries based on projected future demands. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. 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

ScienceSoft

JANUARY 24, 2019

Is inventory optimization still your headache? Here, we describe three pills you can take - simple math, statistics and machine or namely deep learning - and show why data science can be your #1 painkiller.

Optimization 40

Optimization Data Science Deep Learning Statistics 40

CIO Business Intelligence

OCTOBER 13, 2023

Data scientists are experts in applying computer science, mathematics, and statistics to building models. They understand data modeling, including conceptualization and database optimization, and demonstrate a commitment to continuing education. Are data architects in demand? Data architects are in strong demand.

Data Architecture 132

Data Architecture Data Warehouse Statistics Visualization 132

Smart Data Collective

MAY 14, 2021

It allows for the storage of user data and statistics, the collection of said statistics, usage analytics and reports, an integrated billing system, live rewind, catchup, EPG integration, DRM, lets you view and analyse information related to VOD, live rewind, catchup, timeshift, and more. Client Reporting. Dashboard and Analytics.

Data Analytics 89

Data Analytics Analytics Broadcasting Statistics 89

Smart Data Collective

JUNE 8, 2023

The Evolution of Data Collection in Football Traditionally, football relied on basic statistics such as goals, assists, and possession percentages to evaluate performance. Coaches and analysts meticulously study match statistics, player performance metrics, and tracking data to gain valuable insights into team dynamics.

Data Analytics 82

Data Analytics Analytics Data Collection Statistics 82

CIO Business Intelligence

NOVEMBER 14, 2022

These DSS include systems that use accounting and financial models, representational models, and optimization models. 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. Optimization analysis models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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. Deep integration with SAP warehouse and SCM; low-code, no-code features.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

O'Reilly on Data

FEBRUARY 16, 2023

Remember that these tools aren’t doing math, they’re just doing statistics on a huge body of text. You can train models that are optimized to be correct—but that’s a different kind of model. But does 2+2 really equal 5? But if we want a search engine, we will need something that’s better behaved.

Testing 211

Testing Statistics Modeling Optimization 211

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply? Who are they?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

DECEMBER 18, 2023

RUM data is a critical component of optimizing the performance of online applications and services. Synthetic data is a statistical representation of reality. There is really no substitute for real user experiences when it comes to optimizing real-world applications and services.

IT 74

IT Metrics Optimization Testing 74

Analytics Vidhya

MARCH 4, 2021

ArticleVideo Book Objective Optimization is the core of every machine learning algorithm. Understand how the Gradient descent algorithm works and optimize model performance. Note: The post Understanding Gradient Descent Algorithm appeared first on Analytics Vidhya.

Machine Learning 296

Machine Learning Optimization Modeling Analytics 296

Smarten

APRIL 25, 2024

Users can harness the power of statistics and machine learning to uncover hidden insights and improve the overall quality of your data. effortlessly access a wide range of in-depth statistical measures such as skewness/kurtosis, word/phrase frequency, standard deviation, and more.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

NOVEMBER 20, 2023

The US Bureau of Labor Statistics has projected that the number of software developers will grow 25% from 2021-31. Using tools such as Jira, which measures backlog management, it is possible to spot trends that are damaging to optimization. Right now, there are roughly 27 million developers on the job, 4.4 million in the United States.

Measurement 126

Measurement Metrics Software Testing 126

BA Learnings

JANUARY 2, 2023

This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets. Identify Areas of Improvement Once the data has been analyzed, identify areas where improvement is needed for processes to become more efficient or cost-effective.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

IBM Big Data Hub

JANUARY 25, 2024

The equation looks like this: A further study provided more calculations that refine the statistical definitions of a wise crowd, including ignorance of other members’ predictions and inclusion of those with maximally different (negatively correlated) predictions or judgements. How might this insight affect evaluation of AI models?

Predictive Modeling 94

Predictive Modeling Modeling Risk Statistics 94

IBM Big Data Hub

DECEMBER 18, 2023

These maps, graphs, statistics and cartograms display geographical features like location, natural resources, streets and buildings as well as demographics. Optimizing crew schedules and shifting to proactive maintenance helps minimize downtime while increasing customer satisfaction.

Internet of Things 110

Internet of Things IoT Forecasting Visualization 110

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. It helps to automate and makes the usage of the R programming statistical language easier and much more effective. perfect for statistical computing and design.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214