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. This post will dive deeper into the nuances of each field. What is data science? Data science is a broad, multidisciplinary field that extracts value from today’s massive data sets.

Machine Learning 59

Machine Learning Data Science Statistics Deep Learning 59

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Identify those most at risk or most affected by a problem more accurately by using predictive analytics.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. 85% of AI (marketing) projects fail due to risk, confusion, and lack of upskilling among marketing teams.(Source: You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Source: PwC).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Alation

MARCH 21, 2023

As an industry with tight margins, travel and tourism companies can use analytics to detect trends that help them reduce costs, decide future product and service offerings, and develop successful business strategies. What’s more, many companies struggle with rigid legacy technologies that increase the risk of a data breach.

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

MARCH 26, 2024

We structure it in five pillars that power C360: data collection, unification, analytics, activation, and data governance, along with a solution architecture that you can use for your implementation. AWS Data Exchange makes it straightforward to find, subscribe to, and use third-party data for analytics.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

Domino Data Lab

JUNE 2, 2019

Trying to dissect a model to divine an interpretation of its results is a good way to throw away much of the crucial information – especially about non-automated inputs and decisions going into our workflows – that will be required to mitigate existential risk. Leadership. First item on our checklist: did Rev 2 address how to lead data teams?

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

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. How do predictive and prescriptive analytics fit into this statistical framework?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

NOVEMBER 27, 2019

It requires understanding the relationship between data in the form of data preparation, visual analysis and guided advanced analytics. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. It will also be a year of collaborative BI and artificial intelligence.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

datapine

DECEMBER 4, 2019

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

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. Some data is more a risk than valuable. ex : we help you to improve your performances ! ?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company. We hope this guide will transform how you build value for your products with embedded analytics. that gathers data from many sources.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52