IBM Big Data Hub

AUGUST 7, 2023

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. Efficient clinical trial site selection continues to be a prominent industry-wide challenge.

Optimization 57

Optimization Forecasting Data-driven Strategy 57

datapine

JUNE 7, 2022

From political issues to sports statistics and the recent report you received on the ROI of your company blog, the internet as well as informational reports are flooded with examples of misleading data visualization. If you want to go deeper into the topic, take a look at our misleading statistics blog post.

Visualization 267

Visualization Metrics Statistics Dashboards 267

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 125

Data Science Machine Learning Predictive Modeling Experimentation 125

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

IBM Big Data Hub

MAY 17, 2024

” Given the statistics—82% of surveyed respondents in a 2023 Statista study cited managing cloud spend as a significant challenge—it’s a legitimate concern. An examination of cloud capabilities and maturity is a key component of this digital transformation and cloud adoption presents tremendous upside.

Modeling 92

Modeling Cost-Benefit Optimization Digital Transformation 92

Smart Data Collective

AUGUST 5, 2021

Delta lake allows thousands of data to run in parallel, address optimization and partition challenges, faster metadata operations, maintains a transactional log and continuously keeps updating the data. improved data processing in the following ways: Skewed Join Optimization. Advantages of using Delta Lakes. Skewed Partition Condition.

Data Processing 143

Data Processing Metadata Broadcasting Statistics 143

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 126

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 126

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

Rita Sallam

APRIL 2, 2023

Are there mitigation strategies that show reasons for optimism? From there, participants were randomly selected and invited to present live at the Show Floor Showdown sessions. The results showing the impact of flooding, predictions for the future and reasons for optimism were fascinating.

Optimization 52

Optimization Machine Learning Insurance Risk 52

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 140

Predictive Analytics Analytics Predictive Modeling Forecasting 140

FineReport

MAY 18, 2024

Benefits of Data Visualization Enhanced Decision-Making : By presenting data visually, individuals can quickly grasp insights and make informed decisions. This technique helps identify correlations or patterns between variables and is widely used in statistical analysis and research studies.

Visualization 52

Visualization Interactive Cost-Benefit Dashboards 52

Smarten

APRIL 25, 2024

What you need are apps and solutions that allow you to ask easy questions in your own words and receive guidance and recommendations on how to best visualize and present your data and what techniques to use to gain the most insight. Guided recommendations are made based on data type, volume, dimensions, patterns and nature of data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

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 127

Data Architecture Data Warehouse Statistics Visualization 127

FineReport

MAY 30, 2024

As companies seek to leverage data visualization expertise, individuals with the ability to present data in innovative ways are highly sought after. Design Skills A keen eye for design aesthetics plays a vital role in enhancing the visual appeal of data presentations.

Visualization 52

Visualization Dashboards KPI Reporting 52

CIO Business Intelligence

APRIL 22, 2022

Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For example, data analysts should be on board to investigate the data before presenting it to the team and to maintain data models. What is data science?

Data Science 138

Data Science Statistics Machine Learning Visualization 138

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

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

datapine

MARCH 6, 2023

Recent statistics suggest that as much as 20% of employees churn within the first 45 days of employment, but on the flip side, a great onboarding experience ensures 69% of employees stick with a company for three years. Focus on employee feedback Employee feedback is a two-way street.

Data-driven 234

Data-driven Reporting Interactive Statistics 234

Smart Data Collective

NOVEMBER 29, 2021

Marvel is one of the many companies using big data to optimize its business model. First Graphic Presentation. With the help of this first graphical presentation, we can come up with a few hypotheses. A few graph criteria were presented to explain them: Page Rank, closeness centrality, and degree centrality.

Visualization 112

Visualization Recreation/Entertainment Big Data Statistics 112

Smart Data Collective

SEPTEMBER 13, 2023

AI technology is especially beneficial with digital marketing, since digital marketers can take advantage of large amounts of data to optimize their strategies. However, whichever social media account you run, will probably have an analytics page where you can view your statistics. One recent survey found that 61.4%

Machine Learning 97

Machine Learning Marketing Strategy Optimization 97

Smart Data Collective

SEPTEMBER 19, 2023

This is immensely important for patients who need care from a variety of specialists to achieve optimal health outcomes. Fortunately, data has presented itself as an effective and accessible solution to this healthcare problem. Essentially, software is now capable of rapidly analyzing large health-related data sets.

Cost-Benefit 98

Cost-Benefit Software Data-driven Statistics 98

datapine

NOVEMBER 27, 2019

The trends we presented last year will continue to play out through 2020. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. Time gain is also present in the form of AI assistants. Suddenly advanced analytics wasn’t just for the analysts.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 27, 2022

Mark Twain famously remarked that there are three kinds of lies: lies, damned lies, and statistics. Modern CIOs and analytics leaders need to be adept at pulling together the key metrics that will drive the most impact for a team and presenting them in a way that makes sense to the user and will help guide their behavior,” he says.

Metrics 131

Metrics KPI IT Consulting 131

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. Price and bundling optimization, demand pricing, and other variables will be included to provide the best options, prices and responses and to personalize the approach and present results for data analysis and for end users.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Organization: Google and Coursera Price: US$49 per month after a 7-day free trial period.

Big Data 124

Big Data Data Analytics Analytics Predictive Modeling 124

Smart Data Collective

JUNE 4, 2021

Data science needs knowledge from a variety of fields including statistics, mathematics, programming, and transforming data. Mathematics, statistics, and programming are pillars of data science. In data science, use linear algebra for understanding the statistical graphs. It is the building block of statistics.

Data Science 104

Data Science Statistics Deep Learning Machine Learning 104

O'Reilly on Data

JUNE 18, 2019

The good news is that researchers from academia recently managed to leverage that large body of work and combine it with the power of scalable statistical inference for data cleaning. business and quality rules, policies, statistical signals in the data, etc.). Market validation.

Machine Learning 255

Machine Learning Data Quality Statistics Modeling 255

FineReport

DECEMBER 11, 2019

Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. Pay attention to the profound influence of social media on consumer behavior; present new consumer behavior characteristics in the new network environment; analyze new hotspot marketing and consumption events.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Sisense

AUGUST 12, 2021

Using beer sales statistics to understand the consumer. RetailZoom analyzed beer sales statistics gathered from 95% of the supermarkets in its native Cyprus. We have 21 statisticians, we write 10 different programming languages, but without the presentation of the data we would probably be shut down today…That’s the truth of it.”

Sales 98

Sales Statistics Manufacturing Dashboards 98

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. They lose presentation value after six segments.

Visualization 177

Visualization Dashboards Sales Measurement 177

Smart Data Collective

NOVEMBER 26, 2021

Data analytics refers to the systematic computational analysis of statistics or data. Check the following common business KPI that data analytics present: Sales Revenue Organic traffic Customer Lifetime Value Conversion rate Cost Associated Per Lead Acquisitions Lead generation rate. Holistic Customer Experience.

Marketing 110

Marketing Data Analytics Key Performance Indicator Analytics 110

Domino Data Lab

JULY 1, 2021

In this blog post we present the Named Entity Recognition problem and show how a BiLSTM-CRF model can be fitted using a freely available annotated corpus and Keras. The process of statistical learning can automatically extract said rules from a training dataset. How to build a statistical Named Entity Recognition (NER) model.

Modeling 111

Modeling Statistics Testing Metrics 111

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. In other words, a differentially private synthetic dataset still reflects the statistical properties of your real dataset. You can combine this data with real datasets to improve AI model training and predictive accuracy.

Metrics 82

Metrics Machine Learning Risk Statistics 82

FineReport

MARCH 2, 2021

At first glance, reports and analytics may look similar – lots of charts, graphs, trend lines, tables, statistics derived from data. In general, reporting presents what is happening, and analysis explains why it is happening. In general, reporting presents what is happening, and analysis explains why it is happening.

Reporting 98

Reporting Analytics Key Performance Indicator Prescriptive Analytics 98

Smart Data Collective

FEBRUARY 21, 2021

A growing number of marketers are using data analytics technology to optimize their lead generation models. Else, it is just a set of numbers that will end up as statistics. Think about the valuable present you can offer for your incoming leads in exchange for their email. Learn their traffic statistics, GEO.

Strategy 99

Strategy Data Analytics Analytics Data-driven 99

Smart Data Collective

NOVEMBER 1, 2020

The clustering process can be divided into the following stages: Selecting objects for clustering; Determining the set of variables; Calculating the similarity measure values between objects; Grouping similar objects into clusters; Presenting results. Clustering methods are among the simplest algorithms used in unsupervised ML.

Machine Learning 134

Machine Learning Data mining Visualization Statistics 134

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 56

Machine Learning Data Science Statistics Deep Learning 56