Smart Data Collective

MARCH 8, 2021

Big data eliminates all the guesswork and allows fleet managers to make purely informed decisions. All in all, the concept of big data is all about predictive analytics. Such data is great for introducing revamped maintenance practices. Predictive analytics takes care of both direct and indirect costs.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

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 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 118

Manufacturing Data Warehouse Sales Predictive Analytics 118

Smart Data Collective

JUNE 8, 2023

The introduction of data collection and analysis has revolutionized the way teams and coaches approach the game. Liam Fox, a contributor for Forbes detailed some of the ways that data analytics is changing the NFL. Big data will become even more important in the near future.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

O'Reilly on Data

MARCH 18, 2020

However, organizations need to address important data governance and data conditioning to expand and scale their AI practices. [1] This is distinct from AI models that are used for static predictive analytics, categorization studies, natural language tasks, or for other analytic purposes. [2]

Enterprise 347

Enterprise Deep Learning Data Governance Risk 347

CIO Business Intelligence

JULY 5, 2022

Business analytics and business intelligence (BI) serve similar purposes and are often used as interchangeable terms, but BI can be considered a subset of business analytics. Whereas BI studies historical data to guide business decision-making, business analytics is about looking forward. This is the purview of BI.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Cloudera

APRIL 9, 2021

The first blog introduced a mock vehicle manufacturing company, The Electric Car Company (ECC) and focused on Data Collection. The second blog dealt with creating and managing Data Enrichment pipelines. The third video in the series highlighted Reporting and Data Visualization. Data Collection – streaming data.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Smart Data Collective

OCTOBER 16, 2023

Smart devices use sensors to collect data and upload it to the Internet. Examples include CCTV records, automated vacuum cleaners, weather station data, and other sensor-generated data. All in all, big data refers to massive data collections obtained from various sources.

Big Data 124

Big Data IoT Cost-Benefit Advertising 124

datapine

JANUARY 6, 2022

Qualitative data, as it is widely open to interpretation, must be “coded” so as to facilitate the grouping and labeling of data into identifiable themes. Predictive analysis: As its name suggests, the predictive analysis method aims to predict future developments by analyzing historical and current data.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smart Data Collective

JUNE 29, 2022

Predictive Analytics. Artificial intelligence works best when paired with real-time data. With financial technology apps, predictive analytics has a number of benefits. Predictive analytics is helpful not just for consumers. AI can detect unusual patterns in behavior to prevent threats.

Cost-Benefit 111

Cost-Benefit Predictive Analytics Finance Forecasting 111

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” In their view a coherent data architecture “helps traditional corporations translate technical investments into user-centric co-inventions.”

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

CIO Business Intelligence

JULY 5, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

CIO Business Intelligence

JULY 1, 2022

When Marcus Ericsson, driving for Chip Ganassi Racing, won the Indianapolis 500 in May, it was in a car equipped with more than 140 sensors streaming data and predictive analytic insights, not only to the racing team but to fans at the Brickyard and around the world.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Data-driven Digital Transformation 98

Smart Data Collective

AUGUST 2, 2022

This figure is expected to grow as more companies recognize the potential and decide to increase the resources they dedicate to machine learning and predictive analytics tools. Vehicle data processing allows to increase industry standards and design better solutions for maximum benefits.

Software 141

Software Machine Learning B2B Manufacturing 141

Smart Data Collective

JULY 9, 2023

Collecting Relevant Data for Conversion Rate Optimization Here is some vital data that e-commerce businesses need to collect to improve their conversion rates. Identifying Key Metrics for Conversion Rate Optimization Data collection and analysis are both essential processes for optimizing your conversion rate.

Optimization 97

Optimization Data Analytics Analytics Data-driven 97

datapine

MAY 2, 2023

Sensors on delivery trucks, weather data, road maintenance data, fleet maintenance schedules, real-time fleet status indicators, and personnel schedules can all be integrated into a system that looks at historical trends and gives advice accordingly.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link].

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Jet Global

MAY 21, 2020

In addition to the traditional budget considerations, future trends in education — such as the rapid growth of online learning, digital credentialing, smart campuses, wireless presentations, and predictive analytics — will require financial analysis to determine where the institution’s money should be spent. Admissions and enrollment.

Finance 98

Finance KPI Forecasting Data-driven 98

Decision Management Solutions

JUNE 19, 2019

Carriers know that leveraging customer data and predictive analytics at the individual customer level is the best way to accomplish these goals of driving revenue, building loyalty, and increasing customer retention.

Insurance 75

Insurance Consulting Predictive Analytics Interactive 75

CIO Business Intelligence

APRIL 12, 2022

This includes contextual insights, predictive analytics, and anomaly detection for all your apps, along with a topology view of the infrastructure supporting these apps. Relevant datasets: There is no AI without relevant data – lots of relevant data. AIOps can be designed ground-up with data collection at its heart.

Digital Transformation 145

Digital Transformation B2B Enterprise IoT 145

CIO Business Intelligence

MARCH 23, 2022

Therefore, the organization is burdened with ensuring that data collected from such devices is being used, shared and protected properly. Data governance, ownership and validity issues rise to the surface and must be addressed.

Technology 98

Technology Internet of Things IoT Data-driven 98

CIO Business Intelligence

NOVEMBER 1, 2023

One of the first use cases of artificial intelligence in many companies, including both Michelin and Albemarle, was predictive maintenance, which at its most basic level is an algorithm trained on data collected by sensors. Companies that don’t embrace generative AI will become obsolete.”

Enterprise 131

Enterprise Digital Transformation Modeling Interactive 131

Cloudera

SEPTEMBER 22, 2022

The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on. Finally, the end goal is to enable proactive, predictive analytics — “what if” — using applied ML and AI to better predict what will happen and recommend actions to prevent or manage activities as necessary.

Analytics 102

Analytics Insurance IoT Risk 102

CIO Business Intelligence

MARCH 19, 2025

Additionally, CDOs should work closely with sustainability officers to align data collection and reporting processes with ESG goals, ensuring transparency and accountability. Beyond environmental impact, social considerations should also be incorporated into data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

CIO Business Intelligence

MARCH 3, 2023

Metrics help NHL support sustainability goals The National Hockey League (NHL) is leveraging data and analytics to measure the carbon footprint of its teams’ venues and to glean insights into best practices for its sustainability goals, notable given the league’s venues’ dependence on energy to maintain their ice.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

DataRobot Blog

MARCH 8, 2023

Today, SAP and DataRobot announced a joint partnership to enable customers connect core SAP software, containing mission-critical business data, with the advanced Machine Learning capabilities of DataRobot to make more intelligent business predictions with advanced analytics.

Enterprise 105

Enterprise Experimentation Machine Learning Data Science 105

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Predictive analytics and modeling.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Smart Data Collective

AUGUST 26, 2021

Hyperlocal weather intelligence platforms gather weather data from various on-ground sources, such as smartphones, CCTV cameras, smart bins, connected cars, etc. The data collected from these devices is analyzed to predict the weather at a particular location. Hadoop has also helped considerably with weather forecasting.

Forecasting 133

Forecasting Data Analytics Analytics Internet of Things 133

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. Such innovations offer the ability to transfer data over a network, creating valuable experiences for both the consumer and the business itself.

Technology 279

Technology Internet of Things IT IoT 279

Sisense

JUNE 9, 2021

Sensors in these devices connect to cellular phone transmitters or the club’s Wi-Fi network to monitor the data feeds. The data collected by these devices is used to design personalized training plans. Enhanced coaching: Real-time data and predictive analytics.

Analytics 98

Analytics Data-driven Internet of Things Measurement 98

InsightOut

FEBRUARY 1, 2023

We all collect things if we think they hold value. Most founders and executives know that there is significant value in data collection. Turns out, you have invaluable data collecting layers of dust in countless spreadsheets. To be at the top of the game.

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

Smart Data Collective

APRIL 22, 2020

The United States’ $2 trillion Coronavirus Relief Bill involves spending $500 million to implement a “ public health surveillance and data collection system.” ” Jake Laperruque, representing the D.C.-based

Big Data 140

Big Data Machine Learning Risk Interactive 140

Cloudera

DECEMBER 14, 2020

CDP is the next generation big data solution that manages and secures the end-to-end data lifecycle – collecting, enriching, processing, analyzing, and predicting with their streaming data – to drive actionable insights and data-driven decision making. Why upgrade to CDP now?

Big Data 71

Big Data Data-driven Data Collection Data Warehouse 71

CIO Business Intelligence

JULY 20, 2023

From big fashion brands to staples and grocery stores, every retailer is looking to apply algorithms to improve the bottom line, especially in the areas of omnichannel retailing, demand forecasting, and predictive analytics.

Technology 75

Technology Forecasting Advertising Machine Learning 75

IBM Big Data Hub

JUNE 14, 2023

Cloud computing helps organizations manage data collection and storage remotely, eliminating the need for on-premises software and hardware and increasing data visibility in the supply chain. Cloud and edge computing Cloud computing and edge computing play a significant role in how smart manufacturing plants operate.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 92

Data Strategy Strategy Data Warehouse Prescriptive Analytics 92