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. . Leveraging data where it lies.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Cloudera

FEBRUARY 15, 2024

While there are clear reasons SVB collapsed, which can be reviewed here , my purpose in this post isn’t to rehash the past but to present some of the regulatory and compliance challenges financial (and to some degree insurance) institutions face and how data plays a role in mitigating and managing risk.

Insurance 93

Insurance Data Architecture Risk Management Risk 93

Smart Data Collective

APRIL 5, 2021

Advantages of Using Big Data for Web Design. Big data enables high computing facilities for a web app development company and creates UX designs for consumers. Mitigating Risks: A website is prone to varying intensity of risks not just from competitors but also from negative consumer reviews.

Big Data 114

Big Data IT Data-driven Sales 114

CIO Business Intelligence

SEPTEMBER 21, 2022

CMOs need to look for ways to leverage customer data to deliver superior and highly tailored experiences to customers. CIOs need to ensure that the business’ use of data is compliant, secure, and done according to best practices. They need to assure the board that the risk from data is minimised.

Risk 105

Risk Data Lake Marketing Data Warehouse 105

Cloudera

NOVEMBER 16, 2020

is relatively low compared to other fast-growing markets such as APAC. 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. Yet, fraud in the U.S. million in 2019 to $7.9

Insurance 106

Insurance ROI Marketing Machine Learning 106

Smart Data Collective

JULY 9, 2023

With a centralized system, teams can easily update and maintain accurate and consistent product data, reducing the risk of errors and discrepancies. A centralized system enables seamless communication and collaboration among different teams involved in the e-commerce studio workflows.

Big Data 85

Big Data Data-driven Sales Risk 85

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Know what data you have.

Data Governance 103

Data Governance Data-driven Data Processing Risk 103

Cloudera

JANUARY 27, 2022

Real-time access to phone location data can be used by travel insurers to create products that only become active when the phone (and hopefully the human attached to it) crosses country borders or travels beyond a specific distance. Data Ecosystems Surrounding Insurance. Always Mindful of Privacy.

Insurance 90

Insurance IoT Risk Data Processing 90

IBM Big Data Hub

MAY 9, 2023

A foundation model thus makes massive AI scalability possible, while amortizing the initial work of model building each time it is used, as the data requirements for fine tuning additional models are much lower. This results in both increased ROI and much faster time to market.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 128

Data Warehouse Data Lake Analytics Machine Learning 128

Jet Global

OCTOBER 8, 2020

There are many solutions on the market that profess to lighten a finance team’s workload under the current circumstances. It also decreases the risk of errors by eliminating disjointed, manual processes. Without leveraging the power of operational data, a finance team is essentially flying blind.

Finance 98

Finance Reporting Forecasting Uncertainty 98

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

Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” Getting the most from qualitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Cloudera

OCTOBER 19, 2023

The consolidation wave Another consideration is a likely wave of consolidation driven by the desire among larger telcos to distribute the burden of technological investment, leverage economies of scale, gain competitive advantages in existing markets, or expand into new markets.

Data-driven 81

Data-driven Data Architecture Predictive Modeling Digital Transformation 81

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.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

IBM Big Data Hub

APRIL 4, 2024

Through BPM, disparate data sources—including spend data, internal performance metrics and external market research—can be connected. Also, BPM provides real-time insights into compliance metrics and risk exposure, enabling proactive risk management and regulatory reporting.

Management 54

Management Cost-Benefit Metrics Consulting 54

Ontotext

MAY 5, 2023

Thanks to their modularity, ontologies can be easily modified, expanded or refined to accommodate new concepts, regulations or market developments as the industry evolves. Example: Refinitiv PermID Refinitiv reuses part of FIBO’s Entities and Corporate bodies ontology when publishing company data in the permid.org related products.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Alation

SEPTEMBER 9, 2021

These decisions aren’t done in a silo; for senior leadership to make educated decisions to adopt innovation and move the business forward, they need access to the right data. Enabling data access is just the first step. This data also needs to meet quality standards to be trusted. Unlock Market Insight.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

IBM Big Data Hub

SEPTEMBER 12, 2023

Reduced human error: Manual observation introduces a higher risk of human error. Observing and interpreting data manually can lead to inconsistencies and oversight, potentially causing critical issues to be overlooked. ” – Eddie Castillo, Head of Marketing, ExaVault Inc.

Data-driven 63

Data-driven Cost-Benefit Predictive Analytics Machine Learning 63

IBM Big Data Hub

DECEMBER 20, 2023

Today, hybrid cloud security platforms combine artificial intelligence (AI) , machine learning and automation to ingest high volumes of complex security data, enabling near-real-time threat detection and prediction. shifting legacy apps to the cloud).

Strategy 93

Strategy Cost-Benefit Digital Transformation Optimization 93

IBM Big Data Hub

OCTOBER 20, 2023

Major cloud infrastructure providers such as IBM, Amazon AWS, Microsoft Azure and Google Cloud have expanded the market by adding AI platforms to their offerings. Generative AI capabilities Content generator: Generative AI refers to deep-learning models that can generate text, images and other content based on the data they were trained on.

Machine Learning 71

Machine Learning Manufacturing Cost-Benefit Deep Learning 71

Jet Global

MARCH 22, 2023

These costs are not always visible when companies plan for their analytics offering but can significantly impact production, scale, and the speed of bringing analytics to market. The challenge is collecting all that data into one place and making it understandable. Following along as we see why buying is better.

Analytics 52

Analytics Cost-Benefit Dashboards Visualization 52

IBM Big Data Hub

AUGUST 11, 2023

Furthermore, MES systems provide organizations with comprehensive and accurate production data, enabling data-driven decision-making to continuously enhance business processes and optimize resource utilization. Reduce risk, maintain compliance and increase ROI with applications built on 30+ years of market-leading technology.

Software 68

Software Manufacturing Cost-Benefit Internet of Things 68

IBM Big Data Hub

JUNE 14, 2023

In smart factories, IIoT devices are used to enhance machine vision, track inventory levels and analyze data to optimize the mass production process. Artificial intelligence (AI) One of the most significant benefits of AI technology in smart manufacturing is its ability to conduct real-time data analysis efficiently.

Manufacturing 71

Manufacturing Technology Internet of Things Cost-Benefit 71

Ontotext

AUGUST 17, 2023

The use cases span all the things near and dear to most C-level executives’ hearts – driving more revenue, improving operational efficiency, reducing risk, or increasing innovation and agility. ” (See “Market Guide for Graph Database Management Systems”, Published 30 August 2022, by Merv Adrian and Afraz Jaffri).

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

Alation

APRIL 14, 2023

We had a great time meeting with customers and demonstrating how a data intelligence platform delivers visibility across the data stack with demos. So, how can a data catalog support the critical project of building data pipelines? Mitesh Shah , VP of Product Marketing, took the stage to answer this question.

Data Warehouse 52

Data Warehouse Data-driven Metadata Digital Transformation 52

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process. With continuous innovations added to Amazon Redshift, it is now more than just a data warehouse.

Data Analytics 118

Data Analytics Analytics Data Warehouse Data Lake 118

FineReport

JUNE 19, 2023

Operational reports have the potential to greatly enhance business performance through the utilization of data-driven insights. These reports offer a structured and comprehensible representation of data, enabling a clearer understanding of complex issues that might otherwise remain elusive. Book a Free Demo 1.

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

Cloudera

SEPTEMBER 12, 2018

Toshiba Memory’s ability to apply machine learning on petabytes of sensor and apparatus data enabled detection of small defects and inspection of all products instead of a sampling inspection. Previously, Greentube faced numerous constraints created by data silos and lack of real-time analytic capabilities. Technical Impact.

Machine Learning 46

Machine Learning Big Data Data Science Data Warehouse 46

FineReport

APRIL 24, 2024

Its intuitive and Excel-like interface and associative search functionality enable users to uncover hidden insights within their datasets through interactive visualizations. Interactive Dashboard created by FineReport Book A Demo These are just a few examples of the diverse range of data visualization tools available in the market today.

Visualization 52

Visualization Dashboards Interactive Key Performance Indicator 52

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard? 13) Dynamic Text Boxes/Images.

Dashboards 235

Dashboards Interactive Reporting KPI 235

Grooper

AUGUST 19, 2019

Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level. Sales data helps services prepare and predict changes in volume.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

IBM Big Data Hub

JANUARY 9, 2024

In Japan, AI prioritizes efficiency and precision, while in Brazil, it emphasizes warmth and engagement, reflecting each market’s cultural values. Open source AI models In 2024, open source pretrained AI models gain significant traction, empowering businesses to accelerate growth by combining these models with private or real-time data.

Data-driven 100

Data-driven Risk Marketing Modeling 100

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. How does CDO overlap with Market Research functions?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52