CIO Business Intelligence

JULY 1, 2022

“If you go back to the early days of the Indianapolis Motor Speedway, it was in some regards built as a proving ground for the emerging automobile business and a place for a lot of automotive manufacturers that are based here in Indianapolis and around the Midwest to bring their newest inventions and test them.”.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

Cloudera

OCTOBER 28, 2021

There is a wealth of data now available to make this possible. For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Another example is fleet management.

Insurance 95

Insurance Risk Unstructured Data Data-driven 95

Ontotext

AUGUST 17, 2023

Similar scenarios have played out in other industries, like logistics, social media, retail, travel, telecommunications, life sciences, manufacturing, and others, though often they choose not to disclose their secret sauce. Their results were simply far better than the competition, which led to complete dominance of internet search.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

datapine

JULY 17, 2019

By providing a detailed visualization of every aspect of your sales portfolio, this report empowers sales managers to take a full snapshot of their sales operations without losing any data, enabling them to create an extensive sales report.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

AUGUST 11, 2023

Manufacturing execution systems (MES) have grown in popularity across the manufacturing industry. If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors.

Software 71

Software Manufacturing Cost-Benefit ROI 71

DataKitchen

NOVEMBER 29, 2021

Orchestrated pipelines that span teams, toolchains, data centers and organizational boundaries emanate from the data lake to create analytics platforms used by data scientists and business users to generate on-demand insights. . The Hub-Spoke architecture is part of a data enablement trend in IT.

Testing 245

Testing Data Lake Data Architecture Manufacturing 245

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory Corporation is revolutionizing flash memory semiconductor manufacturing using Cloudera to detect defective parts earlier in the manufacturing process and identify the root cause of defects several times faster. Connect Products and Services: Toshiba Memory Corporation .

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 11) Enhancing Manufacturing Processes.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

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 Store operating platform : Scalable and secure foundation supports AI at the edge and data integration. trillion in value.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

CIO Business Intelligence

JANUARY 30, 2024

CIOs — who sign nearly half of all net-zero services deals with top providers, according to Everest Group analyst Meenakshi Narayanan — are uniquely positioned to spearhead data-enabled transformation for ESG reporting given their data-driven track records.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

Smart Data Collective

AUGUST 14, 2019

Our friends at Belitsoft ( a company focusing on healthcare software development ) have prepared an overview of how big data analytics can be used for the benefit of healthcare providers and patients alike. Thus many organizations are still cut off from the potentials inherent in the seamless sharing of patient data.

Big Data 77

Big Data Data Analytics Analytics Internet of Things 77

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

CIO Business Intelligence

APRIL 12, 2022

The supply chain havoc caused by the coronavirus pandemic has left an indelible mark on the minds (and businesses) of manufacturers, wholesalers, dealers and retailers. And it has quite some catching up to do – the smart manufacturing industry is set to grow from $250 billion in 2021 to $658 billion in 2029.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

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. In our modern data and analytics strategy and operating model, a PM methodology plays a key enabling role in delivering solutions. I didn’t mean to imply this.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52