datapine

AUGUST 14, 2019

Data science has become an extremely rewarding career choice for people interested in extracting, manipulating, and generating insights out of large volumes of data. To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations.

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Data Science Statistics Business Intelligence Visualization 214

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. As such it can help adopters find ways to save and earn money.

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Rocket-Powered Data Science

OCTOBER 6, 2023

In the world of data there are other types of nuanced applications of business analytics that are also actionable – perhaps these are not too different from predictive and prescriptive, but their significance, value, and implementation can be explained and justified differently. (b) This is predictive power discovery.

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Business Analytics Prescriptive Analytics Analytics Statistics 157

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

by THOMAS OLAVSON Thomas leads a team at Google called "Operations Data Science" that helps Google scale its infrastructure capacity optimally. But looking through the blogosphere, some go further and posit that “platformization” of forecasting and “forecasting as a service” can turn anyone into a data scientist at the push of a button.

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Forecasting Data Science Statistics Uncertainty 115

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts. The Importance of Exploratory Analytics in the Data Science Lifecycle. imputation of missing values). There is no clear end state.

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Statistics Unstructured Data Data Science Visualization 106

Smarten

JULY 30, 2024

Assisted Predictive Modeling Enables Business Users to Predict Results with Easy-to-Use Tools! Gartner predicted that, ‘75% of organizations will have deployed multiple data hubs to drive mission-critical data and analytics sharing and governance.’ That’s why your business needs predictive analytics.

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Predictive Analytics Prescriptive Analytics Predictive Modeling Analytics 62

AWS Big Data

AUGUST 21, 2024

The current scaling approach of Amazon Redshift Serverless increases your compute capacity based on the query queue time and scales down when the queuing reduces on the data warehouse. In this post, we describe how Redshift Serverless utilizes the new AI-driven scaling and optimization capabilities to address common use cases.

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Optimization Data Lake Data Warehouse Cost-Benefit 109

CIO Business Intelligence

JULY 28, 2022

For the past few years, IT leaders at a US financial services company have been struggling to hire data scientists to harness the increasing flood of incoming data that, if used properly, could improve customer experience and drive new products. It’s exponentially harder when it comes to data scientists.

Data Science 143

Data Science IT Machine Learning Data-driven 143

datapine

DECEMBER 4, 2019

Predictive analytics is the practice of extracting information from existing data sets in order to forecast future probabilities. Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

Smart Data Collective

MAY 23, 2021

Using data science and artificial intelligence can be useful for this type of growth. Rodrigo Liang is CEO of SambaNova, which provides both hardware and software to businesses for the purpose of analyzing data. Data science. Data science covers a broad range of techniques, including statistics, design and development.

Data Science 118

Data Science Cost-Benefit Statistics Predictive Modeling 118

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Today, this is powering every part of the organization, from the customer-favorite online cake customization feature to democratizing data to drive business insight.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

MAY 9, 2024

They should lead the efforts to tie AI capabilities to data analytics and business process strategies and champion an AI-first mindset throughout the organization. They also need to understand the vitality of quality data for AI success, as well as governance frameworks to ensure responsible and ethical use of AI.

Risk Management 138

Risk Management Cost-Benefit Risk Technology 138

David Menninger's Analyst Perspectives

NOVEMBER 7, 2024

The difference is in using advanced modeling and data management to make faster scenario planning possible, driven by actionable key performance measures that enable faster, well-informed decision cycles. This may sound like FP&A’s mission today. Today, FP&A organizations perform much of this work manually.

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Forecasting Machine Learning Finance Predictive Analytics 130

BI-Survey

NOVEMBER 24, 2020

In particular, the integration of strategic planning and company-wide operational planning, as well as its integration with analytics and business intelligence (BI), are becoming increasingly important to making comprehensive and well-founded decisions based on data. The study is based on a worldwide online survey of 424 companies.

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Forecasting Predictive Modeling Statistics Data-driven 94

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. Figure 1: The main components of a model as defined by banking industry regulators.

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Risk Modeling IT Risk Management 111

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.’ Predictive Analytics Using External Data. Customer Targeting.

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Predictive Analytics Analytics Predictive Modeling Forecasting 52

CIO Business Intelligence

JULY 26, 2023

The only thing we have on premise, I believe, is a data server with a bunch of unstructured data on it for our legal team,” says Grady Ligon, who was named Re/Max’s first CIO in October 2022. And the crew is using AWS SageMaker machine learning (ML) to give its agents the best local leads and prospective buyers.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Smarten

APRIL 19, 2024

Benefits include customized and optimized models, data, parameters and tuning. It must be integrated with business systems to leverage available data. This approach does demand skills, data curation, and significant funding, but it will serve the market for third-party, specialized models.

Analytics 57

Analytics Predictive Modeling KPI Machine Learning 57

Smarten

NOVEMBER 8, 2022

Smarten is pleased to announce the launch of its FREE online Citizen Data Scientist course. This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate.

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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? This post will dive deeper into the nuances of each field. What is machine learning?

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Machine Learning Data Science Statistics Deep Learning 54

DataRobot

JANUARY 13, 2022

Many companies find that they have a treasure trove of data but lack the expertise to use it to improve ROI. AI can help them wrangle the data that’s collected and quickly answer important questions. But they often don’t have enough data scientists with the full range of domain expertise to realize its full value.

ROI 52

ROI Machine Learning Experimentation Data Science 52

Smarten

MARCH 13, 2024

If you are an IT professional, a business manager or an executive, you have probably been following the progress of the Citizen Data Scientist movement. For a number of years, Gartner and other technology research and analysis firms have predicted and monitored the growth of this phenomenon. ’ So, how is it going?

Analytics 52

Analytics Predictive Modeling Enterprise Data-driven 52

BI-Survey

MARCH 16, 2021

This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions. It is also necessary to improve the underlying data and enhance data literacy as well as the methodological competence of those involved in the dynamic planning.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

BI-Survey

MARCH 16, 2021

This results in growing competitive pressure, driven by innovation, complexity and changing social and political conditions. It is also necessary to improve the underlying data and enhance data literacy as well as the methodological competence of those involved in the dynamic planning.

Forecasting 52

Forecasting Management Uncertainty Predictive Modeling 52

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. As competition increases, and customers enjoy more options, companies must use data to differentiate themselves in a crowded market. What is data analytics in the hospitality industry?

Data Analytics 52

Data Analytics Analytics ROI Data-driven 52

Domino Data Lab

AUGUST 20, 2019

Many thanks to AWP Pearson for the permission to excerpt “Manual Feature Engineering: Manipulating Data for Fun and Profit” from the book, Machine Learning with Python for Everyone by Mark E. Feature engineering is useful for data scientists when assessing tradeoff decisions regarding the impact of their ML models.

Testing 68

Testing Modeling Interactive Measurement 68

Alation

MAY 2, 2023

Hospitality organizations use data analytics to unlock insights, improve operations, and maximize profits. As competition increases, and customers enjoy more options, companies must use data to differentiate themselves in a crowded market. What is data analytics in the hospitality industry?

Data Analytics 40

Data Analytics Analytics ROI Data-driven 40

FineReport

APRIL 24, 2024

What is Data Visualization Understanding the Concept Data visualization, in simple terms, refers to the presentation of data in a visual format. By utilizing visual elements, data visualization allows individuals to grasp difficult concepts or identify new patterns within the data.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Smarten

SEPTEMBER 9, 2024

What is a Citizen Data Scientist, What is Their Role, What are the Benefits of Citizen Data Scientists…and More! The term, ‘Citizen Data Scientist’ has been around for a number of years. What is a Cititzen Data Scientist? Who is a Citizen Data Scientist? Since then, the idea has grown in popularity.

Consulting 52

Consulting Cost-Benefit Data Science Business Intelligence 52

O'Reilly on Data

MARCH 23, 2021

It is, however, driven by the incentives (both visible and hidden) of significant power structures, such as Big Tech companies. Lines of light ranged in the nonspace of the mind, clusters, and constellations of data. Unthinkable complexity. Like city lights, receding.” ” — Neuromancer, William Gibson (1984).

Internet Publishing and Broadcasting 344

Internet Publishing and Broadcasting Broadcasting Data-driven Publishing 344

IBM Big Data Hub

MARCH 7, 2023

From the moment of birth to discharge, healthcare professionals can collect so much data about an infant’s vitals—for instance, heartbeat frequency or every rise and drop in blood oxygen level. The worldwide statistics on premature births are staggering— the University of Oxford estimates that neonatal sepsis causes 2.5

Risk 52

Risk Technology Informatics Predictive Modeling 52

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smarten

MARCH 20, 2025

Find Out the How of the Citizen Data Scientist Approach! In 2016, the technology research firm, Gartner, coined the term Citizen Data Scientist, and defined it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

Prescriptive Analytics 62

Prescriptive Analytics Advertising Data-driven Statistics 62

CIO Business Intelligence

MAY 6, 2025

These are your standard reports and dashboard visualizations of historical data showing sales last quarter, NPS trends, operational thoughts or marketing campaign performance. This is where we blend optimization engines, business rules, AI and contextual data to recommend or automate the best possible action.

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Prescriptive Analytics Predictive Analytics Descriptive Analytics ROI 78

Data Science and Beyond

JANUARY 8, 2017

All formulas are based on numbers that the authors call constants , despite the fact that numbers such as the average customer lifespan or retention rate are clearly not constant in this context (since they’re estimated from the data and used as projections into the future).

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