Smart Data Collective

NOVEMBER 7, 2023

This technology helps identify patterns that human analysts might overlook in large data sets, thereby strengthening threat detection abilities. Accumulating and analyzing user data enables ML tools to derive insights into how different individuals interact with your site.

Data Processing 101

Data Processing Machine Learning Measurement Optimization 101

Ontotext

AUGUST 17, 2023

These failures are at least partly due to the absence of graph technologies, at the center of those transformations, allowing companies to “connect the dots” across their data to drive optimal outcomes. Click To Tweet What Are Graph Technologies And Why Should C-level Executives Care? And even industry disruption.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

Data Integration 52

Data Integration IoT Cost-Benefit Data Quality 52

Cloudera

APRIL 13, 2023

As we celebrate International Women’s Day and Women’s History Month in the US, for this #ClouderaLife Employee Spotlight we sat down with Clouderan Sherry Zhou to talk about her career transition from biology to technology, her geographic transition from the US to the UK, and what she learned along the way.

Management 79

Management Software Dashboards Technology 79

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

NOVEMBER 16, 2020

The sizable impact from fraud on the insurance market is increasingly being addressed by fraud detection, prevention, and mitigation technology tools and services, creating a substantial fraud detection market. Unfortunately, fraudsters will continue to look for new opportunities and will also seek to leverage new technologies.

Insurance 99

Insurance ROI Marketing Machine Learning 99

Cloudera

AUGUST 16, 2023

.* It’s always been crucial for us to enable customers to do more with their data. Enabling a robust partner ecosystem is critical to this goal and encompasses cloud , platform , software , resellers , and s ystems integrator s.

Sales 64

Sales Insurance Manufacturing Data Strategy 64

DataKitchen

FEBRUARY 21, 2023

Adopt DataOps Practices : “Successful data engineering teams are cross-functional and adopt DataOps practices.” Focus on Customer Value First: “Organizations that focus on business value, as opposed to technological enhancements …. are more efficient in prioritizing data delivery demands.” A better ETL tool?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Smart Data Collective

APRIL 14, 2023

Big data technology has had a number of important benefits for businesses in all industries. One of the biggest advantages is that big data helps companies utilize business intelligence. It is one of the biggest reasons that the market for big data is projected to be worth $273 billion by 2026.

Business Intelligence 83

Business Intelligence Strategy Data-driven Visualization 83

IBM Big Data Hub

JUNE 14, 2023

Smart manufacturing (SM)—the use of advanced, highly integrated technologies in manufacturing processes—is revolutionizing how companies operate. Smart manufacturing, as part of the digital transformation of Industry 4.0 , deploys a combination of emerging technologies and diagnostic tools (e.g.,

Manufacturing 79

Manufacturing Technology Internet of Things Cost-Benefit 79

CIO Business Intelligence

MAY 4, 2022

They pooled their expertise to come up with data-enabled services leveraging the breadth of FedEx’s international digital and logistics network with Microsoft’s advanced cloud computing technology. . On the one hand, the partnership requires FedEx to open the data on its systems as a data platform.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

CIO Business Intelligence

APRIL 29, 2022

Data-first because anything, whether a human, a machine, or a thing, is constantly generating data in an era in which computing and connectivity are ubiquitous. And the right leverage of this data enables insights that unlock real business value and the full potential of organizations.

Recreation/Entertainment 122

Recreation/Entertainment Digital Transformation Data-driven Enterprise 122

CIO Business Intelligence

DECEMBER 18, 2023

Technology Solutions’ dominant model revolved around hardware products. While this model is not diminishing, new cloud-based software technologies are changing business needs and competitive realities are giving rise to alternative technology solutions business models. Outdated hardware also poses security risks.

Software 117

Software Technology Digital Transformation Data-driven 117

CIO Business Intelligence

JULY 5, 2022

Together with data collected from prior seasons and the first five events of the NTT Indycar Series, NTT uses a combination of data analytics, digital twin, and artificial intelligence (AI) capabilities to give fans access to in-depth, real-time insights about head-to-head overtaking, pit predictions, and other elements of the race.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

JULY 1, 2022

Together with data collected from prior seasons and the first five events of the NTT Indycar Series, NTT uses a combination of data analytics, digital twin, and artificial intelligence (AI) capabilities to give fans access to in-depth, real-time insights about head-to-head overtaking, pit predictions, and other elements of the race.

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

Cloudera

OCTOBER 28, 2021

In reality, we are way ahead in the use of data (possibly hundreds of years ahead!), but behind in our use of tools and technology to manage the data optimally to get the most value out of it. The amount, diversity, accuracy and timeliness of data is enormously better than in the early days of Lloyds.

Insurance 96

Insurance Risk Unstructured Data Data-driven 96

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

datapine

MAY 2, 2023

Winkenbach said that his data showed that “deliveries in big cities are almost always improved by creating multi-tiered systems with smaller distribution centers spread out in several neighborhoods, or simply pre-designated parking spots in garages or lots where smaller vehicles can take packages the rest of the way.”

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Smart Data Collective

MAY 29, 2019

Big data is completely transforming the way we live and the way companies conduct business. Pretty much every industry you can think of uses some form of big data technology to help optimize their business. In this article, we reveal five industries which have been reshaped by big data technology.

Big Data 110

Big Data Statistics Optimization Reporting 110

Ontotext

AUGUST 4, 2023

Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a distributed storage environment is complex with no map to guide technology professionals.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

IBM Big Data Hub

SEPTEMBER 12, 2023

The variety of technology in use also means you won’t always have a subject matter expert (SME) on hand to assist in the setup and configuration of new applications. Historical data and trends: Automated systems can efficiently store and analyze historical data, enabling trend analysis and pattern recognition.

Data-driven 72

Data-driven Cost-Benefit Predictive Analytics Machine Learning 72

Smart Data Collective

DECEMBER 15, 2021

They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics. Personalization is among the prime drivers of digital marketing, thanks to data analytics.

ROI 117

ROI Marketing Data Analytics Analytics 117

Smart Data Collective

FEBRUARY 25, 2021

Savvy small businesses recognize that AI technology can assist them with almost every aspect of their operations, including employee management, trend forecasting, fraud prevention and financial management. Technology has always been important, but the new generation of AI technology is even more important today.

Software 63

Software Machine Learning Marketing Technology 63

erwin

JANUARY 14, 2021

As the pandemic took hold, IDC surveyed technology users and decision makers around the globe, reaching out every two weeks until September, when the survey frequency shifted to monthly. But data without intelligence is just data, and this is WHY data intelligence is required.

Digital Transformation 143

Digital Transformation Metadata Big Data Data-driven 143

Cloudera

AUGUST 12, 2021

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Data enables Innovation & Agility.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

CIO Business Intelligence

OCTOBER 24, 2023

Was this new technology a threat to their job or a tool that would amplify their productivity? Traditional data structures, typically organized in structured tables, often fall short of capturing the complexity of the real world,” says Weaviate’s Philip Vollet. Enter vector embeddings. How do you choose the right vector database?

Cost-Benefit 126

Cost-Benefit Modeling Data Quality Statistics 126

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. However, effectively using data needs to be learned.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

DataKitchen

NOVEMBER 4, 2021

I get cut off at the knees from a data perspective, and I am getting handed a sandwich of sorts and not a good one!”. Not because of AWS or some other technology, but rather because companies like Amazon have compressed response and delivery times. The DataOps process hub does not replace a data lake or the data hub.

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

Sisense

JANUARY 13, 2020

Analyzing data from disparate sources to identify relationships between processes, causes, and effects is part of what helps a business hone its product development strategy, manufacturing processes, the marketing and sales of those products, and the logistics of supply chain and delivery.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Laminar Security

DECEMBER 22, 2023

Ensuring that data storage practices are in line with compliance standards often requires a review and reduction of stored data volumes. DSPM facilitates this by automating the discovery of non-compliant or over-retained data, enabling organizations to streamline their data stores to hold only what is necessary and compliant.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

BI-Survey

FEBRUARY 14, 2022

Is our chosen technology still fit for purpose? Technical integration automates the data flows between sub-plans by translating the business planning model into processes and rules in the software. As the relevance of linking further operational sub-plans increases, the technological basis must also become more powerful.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

FineReport

APRIL 24, 2024

Lastly, considering future scalability and advancements in technology is essential when choosing a visualization tool. Identification of Patterns : Visual data enables viewers to identify patterns, trends, and outliers within datasets with greater clarity.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

Jet Global

OCTOBER 8, 2020

Data analytics are essential to supporting business decisions and, as companies seek to understand the status of their inventories, supply chains, and customer orders during the current period of uncertainty, operational data is now firmly at the forefront of decision-making.

Finance 98

Finance Reporting Forecasting Metrics 98

Ontotext

MARCH 19, 2021

In this case, the packaging not only identifies what the product is and what it is made of, but goes even further to enhance how the cleaning liquid is used through the spray bottle technology. They help better display the product, the data they format, and in this way make it easier to consume and understand.

Metadata 124

Metadata Enterprise Publishing Management 124

Cloudera

JANUARY 27, 2022

Insurers are increasingly adopting data from smart devices and related technologies to support and service their customers better. I have been researching more about how we can use the new data from those devices to design more innovative insurance products while being aware that these should all be contingent upon customer opt-in.

Insurance 83

Insurance IoT Risk Data Processing 83

Sisense

OCTOBER 6, 2020

Traditional methods of gathering and organizing data can’t organize, filter, and analyze this kind of data effectively. Advanced technology and new approaches are needed. It provides the raw material for information that is more varied and harder to organize than structured, qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

erwin

MAY 18, 2022

Impact analysis has undergone a similar update in look for greater clarity and impact, and both data lineage and impact analysis performance has been improved through the use of graph database technology. Data intelligence vendors seem to have their specialties such as catalog versus lineage versus glossary versus data quality.

Data Quality 52

Data Quality Metadata Data Governance Software 52