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. Visual IDE for data pipelines; RPA for rote tasks.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

JANUARY 25, 2024

Subbaiah believes those who excel in four core abilities will thrive in the digitally driven enterprise. Understand data The people driving innovation in any organization have to be passionate about data and its possibilities. “We Every day, knowledge workers are teaming up in new ways with intelligent machines.

Deep Learning 115

Deep Learning Cost-Benefit Statistics Manufacturing 115

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

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

DataRobot Blog

MAY 23, 2022

Department of Transportation Data. Example of border transport data from USDOT. Department of Transportation (USDOT) Bureau of Transportation Statistics (BTS) provide publicly-available monthly summary statistics for both the U.S.-Canada The database contains entry data from Mexico to the U.S. Canada and U.S.-Mexico

Forecasting 59

Forecasting Statistics Machine Learning Modeling 59

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 can also empower trial managers and executives with the data to make strategic decisions. To do so they require data, which is in no shortage.

Optimization 58

Optimization Forecasting Data-driven Strategy 58

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

Smart Data Collective

OCTOBER 7, 2023

Marco Cerliani has a great article in Towards Data Science on the benefits of AI in the people tracing field. Many apps, from dating applications to fitness trackers, ask for permission to access this data. This technological frontier, driven by predictive analysis, paints a compelling vision of the future.

Technology 92

Technology Snapshot Data-driven Machine Learning 92

Smart Data Collective

JULY 24, 2023

Nabil M Abbas of Towards Data Science talked about one of the most interesting ways that data analytics is changing the NBA. 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. a year until 2030.

Analytics Technologies 79

Analytics Technologies Marketing Technology Analytics 79

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

Sisense

APRIL 15, 2021

Your company is gathering data (and has likely been doing so for years), and you’ve probably got a system or two to glean insights from that data to make smarter decisions. Whatever you do and however you do it, augmented analytics serve up deeper intelligence from data with less heavy lifting. Analytics is the future.

Analytics 98

Analytics Data Science Modeling Machine Learning 98

Rita Sallam

APRIL 2, 2023

We explored these questions and more at our Bake-Offs and Show Floor Showdowns at our Data and Analytics Summit in Orlando with 4,000 of our closest D&A friends and family. The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms.

Optimization 52

Optimization Machine Learning Insurance Risk 52

O'Reilly on Data

JULY 28, 2020

It’s often difficult for businesses without a mature data or machine learning practice to define and agree on metrics. Fair warning: if the business lacks metrics, it probably also lacks discipline about data infrastructure, collection, governance, and much more.) Agreeing on metrics. This is particularly true for AI products.

Marketing 362

Marketing Experimentation Metrics Testing 362

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. ln this post he describes where and how having “humans in the loop” in forecasting makes sense, and reflects on past failures and successes that have led him to this perspective.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

Alation

NOVEMBER 28, 2022

Alation is excited to unveil Alation Connected Sheets , a new product that brings trusted, fresh data directly to spreadsheet users. Now, “spreadsheet jockeys” can pull the most current, compliant data directly from a range of cloud sources, without having to know SQL or depend on a data team to deliver it.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

bridgei2i

MARCH 27, 2020

He’s the CTO & one of the co-founders of BRIDGEi2i Analytics Solutions – one of the fastest-growing AI and data science firms in India. But with newer innovation in technology and data science, we are seeing far more deeper and almost 1-on-1 level personalization happening. These are some of them.

Enterprise 86

Enterprise Consulting Sales Statistics 86

Domino Data Lab

AUGUST 9, 2021

For a model-driven enterprise, having access to the appropriate tools can mean the difference between operating at a loss with a string of late projects lingering ahead of you or exceeding productivity and profitability forecasts. In general terms, a model is a series of algorithms that can solve problems when given appropriate data.

Modeling 111

Modeling Deep Learning Machine Learning Statistics 111

O'Reilly on Data

NOVEMBER 28, 2023

AI users say that AI programming (66%) and data analysis (59%) are the most needed skills. Given the cost of equipping a data center with high-end GPUs, they probably won’t attempt to build their own infrastructure. Few nonusers (2%) report that lack of data or data quality is an issue, and only 1.3%

Enterprise 271

Enterprise Modeling Testing Reporting 271

FineReport

JULY 18, 2022

In an era full of data, data analysis allows us to discover the most useful information and make more scientific decisions for business operations. Data analysis tools are widely used by data analysts as well as non-professional business people to achieve better performance and higher efficiency. FineRepor t.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

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. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Smart Data Collective

OCTOBER 17, 2022

Businesses are producing more data year after year, but the number of locations where it is kept is increasing dramatically. This proliferation of data and the methods we use to safeguard it is accompanied by market changes — economic, technical, and alterations in customer behavior and marketing strategies , to mention a few.

Big Data 103

Big Data Data-driven Recreation/Entertainment Data Governance 103

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? Get our free bite-sized summary for increasing your profits through data! A sobering statistic if ever we saw one. Data offers the power to gain an objective, accurate, and comprehensive view of your restaurant’s daily functions.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? This is predictive power discovery.

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smart Data Collective

MARCH 22, 2023

With the development of science and technology, we have witnessed the metamorphosis of all major industries, and the marine sector has had its fair share of change. Now, Big Data in the maritime industry is the new revolution. And data is everything in the twenty-first century.

Big Data 90

Big Data Advertising Data-driven Data Science 90

DataRobot Blog

NOVEMBER 8, 2022

How can you build a performance-driven organization where driving outcomes is ingrained in your culture and the ownership of the process is shared across agency and client stakeholders? AI in Customer Analytics: Tapping Your Data for Success. Establishing a Reliable Data Layer and Breaking Down Silos is the First Step.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Smarten

NOVEMBER 26, 2023

‘Find out how business intelligence and analytics technology can improve your enterprise, improve business user data literacy, and ensure analytical clarity and results with seamless, intuitive business intelligence and reporting.’ What is data democratization? What is data literacy?

Business Intelligence 40

Business Intelligence Data-driven Reporting Advertising 40

datapine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. Which industry, sector moves fast and successful with data-driven?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

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

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).

Statistics 100

Statistics Modeling Predictive Modeling Marketing 100

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