IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Cloudera

FEBRUARY 8, 2021

This blog series follows the manufacturing, operations and sales data for a connected vehicle manufacturer as the data goes through stages and transformations typically experienced in a large manufacturing company on the leading edge of current technology. 1 The enterprise data lifecycle. Data Enrichment Challenge.

Manufacturing 115

Manufacturing Data Warehouse Sales Predictive Analytics 115

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Forecasting models. It features support for creating and visualizing decision tree–driven customer interaction flows.

Data mining 136

Data mining Data-driven Statistics OLAP 136

datapine

JUNE 5, 2019

Data dashboards provide a centralized, interactive means of monitoring, measuring, analyzing, and extracting a wealth of business insights from relevant datasets in several key areas while displaying aggregated information in a way that is both intuitive and visual. Lack of different data visualization types.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Maintenance schedules can use AI-powered predictive analytics to create greater efficiencies.

Cost-Benefit 89

Cost-Benefit Insurance Unstructured Data Machine Learning 89

datapine

AUGUST 29, 2022

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. An excerpt from a rave review: “The Freakonomics of big data.”.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

BizAcuity

MARCH 31, 2022

Gaming companies use AI for segmenting players and predicting churn rates in order to retain them through effective campaigns. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. These tools might dictate the priority of deliveries, predict order routing, or dispatch deliveries to comply with sustainability requirements. 

B2B 49

B2B Interactive Optimization Forecasting 49

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. How to Choose the Right Big Data Analytics Tools? Enables Predictive Analytics on data.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Weather Forecasting, Fraud Analysis and more.

Analytics 40

Analytics Forecasting Statistics Sales 40

Jet Global

MAY 1, 2023

In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future. The industries that are users of embedded analytics are interesting. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Birst BI

AUGUST 23, 2018

Data scientists building AI applications require numerous skills – data visualization, data cleansing, artificial intelligence algorithm selection and diagnostics. Data science requires special skills in the areas of data cleansing, data visualization, algorithm selection, diagnostics, and more. Idoine, Erick Brethenoux, 12 June 2018.

Machine Learning 73

Machine Learning Data Science Testing Metrics 73

Jet Global

MAY 4, 2021

As such, it is poorly suited to the type of basic analytical tasks associated with a month-end closing. SAP Business Planning and Consolidation (BPC) – BPC is not a reporting tool per se; it is an SAP module for complex planning, budgeting, forecasting, and financial consolidation.

Reporting 52

Reporting IT Finance Data Warehouse 52

IBM Big Data Hub

OCTOBER 20, 2023

” When observing its potential impact within industry, McKinsey Global Institute estimates that in just the manufacturing sector, emerging technologies that use AI will by 2025 add as much as USD 3.7 Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 80

Machine Learning Manufacturing Cost-Benefit Deep Learning 80

Andrew White

JANUARY 11, 2021

As such banking, finance, insurance and media are good examples of information-based industries compared to manufacturing, retail, and so on. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. For more accurate decision making, forecast and predictions are needed.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52