CIO Business Intelligence

OCTOBER 1, 2022

(P&G) has grown to become one of the world’s largest consumer goods manufacturers, with worldwide revenue of more than $76 billion in 2021 and more than 100,000 employees. In summer 2022, P&G sealed a multiyear partnership with Microsoft to transform P&G’s digital manufacturing platform. Smart manufacturing at scale.

Manufacturing 145

Manufacturing Digital Transformation IoT Internet of Things 145

Smarten

MAY 14, 2019

In order to predict and forecast and assure product or service availability, the business must also look at the dependability of suppliers, shipping and the purchasing of parts that make up the products. Use Augmented Analytics and Assisted Predictive Modeling to accurately anticipate demand and optimize resources.

Predictive Analytics 56

Predictive Analytics Analytics Predictive Modeling Forecasting 56

Smarten

MAY 14, 2019

Using advanced analytics to identify quality issues will improve production processes, protect the business against liability claims and allow the organization to more easily upgrade products, create new products and services and anticipate issues along the way. Predictive Analytics Using External Data. Maintenance Management.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Manufacturing 51

Smart Data Collective

AUGUST 29, 2022

Did you know that 53% of companies use data analytics technology ? Machine Learning Helps Companies Get More Value Out of Analytics. There are a lot of benefits of using analytics to help run a business. You will get even more value out of analytics if you leverage machine learning at the same time. Predictive analytics.

Analytics 114

Analytics Predictive Analytics Machine Learning Insurance 114

datapine

NOVEMBER 27, 2019

The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

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

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. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

3AG Systems

APRIL 6, 2021

As a growing manufacturer of consumer packaged goods (CPG), improving efficiency and productivity is key to accelerating your growth trajectory. Across the manufacturing sector, automation is a common approach to efficiently scaling up production. How do you go about improving efficiency and productivity? Read More

Manufacturing 52

Manufacturing Predictive Analytics Machine Learning Business Intelligence 52

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 132

Data Analytics Diagnostic Analytics Management Analytics 132

DataRobot

JULY 22, 2021

Retailers, manufacturers, and pharmaceutical companies all have struggled to align production and stocking with rapid shifts in demand. Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times.

Manufacturing 52

Manufacturing Forecasting Machine Learning Data-driven 52

Jet Global

MAY 23, 2024

Here, we discuss three ways you can monetize data with an embedded analytics investment. According to insightsoftware and Hanover Research’s recent Embedded Analytics Report , the overwhelming majority of development teams (84%) found generative AI to be the most important trend of the next five years.

Analytics 52

Analytics Reporting Software Predictive Analytics 52

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. Meanwhile, data analytics is the act of examining datasets to extract value and find answers to specific questions.

Data Science 80

Data Science Data Analytics Prescriptive Analytics Analytics 80

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. . Improve Visibility within Supply Chains.

Analytics 109

Analytics Digital Transformation Forecasting Risk 109

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Why is augmented analytics an important factor in your success? So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 107

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 107

CIO Business Intelligence

JUNE 1, 2022

Predictive analytics can foretell a breakdown before it happens. The digital twins at McLaren are also used to run simulations for the design of new parts and then to test them for performance and reliability before they are manufactured and installed in the racing cars. The data transmitted from each car during a race ?

Manufacturing 108

Manufacturing Digital Transformation Predictive Analytics Strategy 108

Jet Global

JUNE 18, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. What is Big Data Analytics Software? Manufacturing. Big Business Needs Big Data. Let’s look at some of the ways: Healthcare.

Big Data 75

Big Data Software Data Analytics Analytics 75

CIO Business Intelligence

MAY 21, 2024

Unlike many other events, which consist of multiple racing teams and manufacturers, Porsche Carrera Cup Brasil provides and maintains all 75 cars used in the race. Today, at Microsoft Build in Seattle, Microsoft revealed it has combined those workloads under Real-Time Intelligence as Real-Time Analytics only supported Azure data.

Broadcasting 106

Broadcasting Recreation/Entertainment Manufacturing Data Lake 106

Smart Data Collective

OCTOBER 29, 2023

With a powerful suite of analytics tools available today – such as predictive analytics, prescriptive analysis, customer segmentation and lead scoring – organizations now have access to critical information that can equip them with the power to make data-driven decisions quickly and accurately.

Management 102

Management Big Data Manufacturing Data-driven 102

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 116

Manufacturing Data Warehouse Sales Predictive Analytics 116

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics. Uncertain economic conditions.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jet Global

OCTOBER 3, 2019

Industries such as retail, healthcare, and manufacturing have experienced a dramatic shift thanks to the impact of big data analytics software—but let’s start by looking at what it is, first. What is Big Data Analytics Software? Manufacturing. Big Business Needs Big Data. Let’s look at some of the ways: Healthcare.

Big Data 53

Big Data Software Data Analytics Analytics 53

CIO Business Intelligence

JANUARY 25, 2024

Along these lines, predictive analytics is one field destined for AI-powered growth. User-friendly implementations have expanded the popularity of these tools—whether that be leveraging historical data and AI to maximize sales or conducting predictive maintenance on capital-intensive manufacturing equipment.

Deep Learning 105

Deep Learning Cost-Benefit Statistics Manufacturing 105

bridgei2i

FEBRUARY 21, 2020

As technology innovates year after year, AI-powered analytics has likewise evolved, while keeping a decade-long marathon-paced trend in popularity. In fact, statistics from Maryville University on Business Data Analytics predict that the US market will be valued at more than $95 billion by the end of this year. Sources: [link].

IoT 83

IoT Analytics Deep Learning B2B 83

Smart Data Collective

JULY 28, 2021

The supply-chain analytics market is projected to be worth over $16.8 This is largely due to the benefits of using data analytics to improve automation in merchandise distribution. As a retailer or manufacturer selling via e-commerce platforms, you already know the importance of using big data to improve automation.

Data-driven 133

Data-driven Big Data Manufacturing ROI 133

IBM Big Data Hub

FEBRUARY 12, 2024

They were much less likely to have any meaningful relationship with the product manufacturer unless those products were made and sold locally. For product manufacturers, this is perhaps the biggest leap forward for customer experience. As a result, brand loyalty was stronger and customer preferences changed less frequently.

Data-driven 97

Data-driven Manufacturing Consulting Advertising 97

IBM Big Data Hub

MAY 9, 2024

Also, using predictive analytics can help identify trends, patterns and potential future health risks in your patients. It’s worth noting that most electronic health records (EHR) systems offer predictive analytics capabilities. The accuracy of these analytics is limited by the accuracy of the data used.

Data Governance 70

Data Governance Data Quality Insurance Predictive Analytics 70

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Companies say that data and analytics can help them thrive. That’s why analytics has become increasingly essential t o companies in this time of crisis. We’ll see how.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

Cloudera

APRIL 9, 2021

This blog series follows the manufacturing and operations data lifecycle stages of an electric car manufacturer – typically experienced in large, data-driven manufacturing companies. The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

datapine

MARCH 25, 2020

Automated reports completely eliminate traditional means of communicating data since they rely on business reporting software that uses cutting edge business intelligence, technology and smart features such as interactivity, a drag-and-drop interface, and predictive analytics, among others. click to enlarge**.

Reporting 209

Reporting Dashboards Manufacturing Visualization 209

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

CIO Business Intelligence

SEPTEMBER 2, 2022

In fact, if you watch a network news program covering a skirmish somewhere in the world and spot a formidable-looking vehicle in the background, odds are it was manufactured by the defense division of this innovative company, based in Oshkosh, Wisc. The pandemic falls into the macro-level because we really can’t predict those kinds of events.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

CIO Business Intelligence

SEPTEMBER 2, 2022

In fact, if you watch a network news program covering a skirmish somewhere in the world and spot a formidable-looking vehicle in the background, odds are it was manufactured by the defense division of this innovative company, based in Oshkosh, Wisc. The pandemic falls into the macro-level because we really can’t predict those kinds of events.

Uncertainty 93

Uncertainty Manufacturing Data-driven Business Intelligence 93

Dataiku

MARCH 5, 2020

In a 2016 survey of supply chain and manufacturing companies by Deloitte and supply chain association MHI, only 17% of companies were using predictive analytics. However, that number is anticipated to reach 79% by 2021.

Manufacturing 66

Manufacturing Predictive Analytics Analytics 66

CIO Business Intelligence

JANUARY 9, 2023

But what the revolutionary high-pressure laminate (HPL) FENIX® line can’t handle is traditional HPL manufacturing. Its thin, mat surface is prone to defects when manufactured traditionally. It created a new manufacturing facility just for the FENIX product line that represents more than 50% of the company’s current business.

Manufacturing 58

Manufacturing Cost-Benefit Digital Transformation Software 58

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason. In fact, there’s no escaping the increasing reliance on such technologies.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Smarten

MAY 15, 2019

With predictive analytics, the business can leverage data from various systems and software to take the guesswork out of production equipment maintenance and anticipate routine maintenance. Predictive Analytics Using External Data. Learn more about Augmented Analytics, its uses, techniques and applications.

Predictive Analytics 10

Predictive Analytics Management Analytics Cost-Benefit 10