DataKitchen

FEBRUARY 21, 2023

are more efficient in prioritizing data delivery demands.” Release New Data Engineering Work Often With Low Risk: “Testing and release processes are heavily manual tasks… automate these processes.” Learn, improve, and iterate quickly (with feedback from the customer) with low risk.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

FineReport

APRIL 9, 2024

Healthcare data governance plays a pivotal role in ensuring the secure handling of patient data while complying with stringent regulations. The implementation of robust healthcare data management strategies is imperative to mitigate the risks associated with data breaches and non-compliance.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Cloudera

OCTOBER 28, 2021

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

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

DECEMBER 15, 2021

Personalization is among the prime drivers of digital marketing, thanks to data analytics. Gathered data enables business owners to understand the needs of buyers. Reduced Risks. By optimizing your marketing campaigns, analytics helps you identify risks and quickly patch them. Personalized Services.

ROI 116

ROI Marketing Data Analytics Analytics 116

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 107

Big Data IT Data-driven Sales 107

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 81

Insurance IoT Risk Data Processing 81

FineReport

JUNE 7, 2023

Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Timely Risk Identification and Mitigation: Project management dashboards facilitate the identification and management of project risks.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 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. Cost-effectiveness: Manual observation may require dedicated personnel, leading to increased labor costs.

Data-driven 72

Data-driven Cost-Benefit Predictive Analytics Machine Learning 72

Cloudera

DECEMBER 15, 2021

Successful change on workplace diversity and inclusion starts with a data-driven approach. Data enables organizations to couple their DEI initiatives with actionable insight, identify where their impact will be highest, and build metrics and benchmarks for greater accountability.

Data Strategy 80

Data Strategy Strategy Snapshot Data-driven 80

Smart Data Collective

NOVEMBER 1, 2023

This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies. Employee time tracking software facilitates better time management.

Metrics 86

Metrics Measurement Data-driven Optimization 86

Cloudera

NOVEMBER 16, 2020

Third-party data such as location, social media, obituaries, repair costs, and others help in faster identifying suspicious claims or applications. As a result, we’ve seen a recent reprioritization of fraud-related use cases on our platform.

Insurance 96

Insurance ROI Marketing Machine Learning 96

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. If context and relationships between things are important, then graph technologies should be at the center of the solution.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

Octopai

JUNE 19, 2023

For business users Data Catalogs offer a number of benefits such as better decision-making; data catalogs provide business users with quick and easy access to high-quality data. This availability of accurate and timely data enables business users to make informed decisions, improving overall business strategies.

Metadata 88

Metadata Data Governance Measurement Risk Management 88

Sisense

JANUARY 13, 2020

We asked Christine Quan, Sisense BI Engineer in sales, how she thinks data helps product development, and she said, Indeed, data enables a company to understand its customers better. At the same time, data can inform a company about potential markets so it can judge how much risk an innovation carries.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

Alation

APRIL 14, 2023

In his talk, Mitesh revealed that Alation delivers useful information about data via metadata, and explored why context is key to building reliable data pipelines. How can data leaders respond? By slowing down, and gathering intelligence about the data in a platform like Alation.

Data Warehouse 52

Data Warehouse Data-driven Digital Transformation Metadata 52

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. Mission Lane Enables Collaboration.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

CIO Business Intelligence

JULY 5, 2022

AI-enabled optical detection technologies, combined with real-time entry gate flow rate data enable: Crowd and traffic monitoring, including real-time analysis and alerting Crowd numbers and congestion insight for specific gates and tunnels using predictive analytics Faster response times to potential issues and risks For fans, the Smart Venue provides (..)

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

CIO Business Intelligence

JULY 1, 2022

AI-enabled optical detection technologies, combined with real-time entry gate flow rate data enable: Crowd and traffic monitoring, including real-time analysis and alerting Crowd numbers and congestion insight for specific gates and tunnels using predictive analytics Faster response times to potential issues and risks For fans, the Smart Venue provides (..)

Recreation/Entertainment 98

Recreation/Entertainment Predictive Analytics Digital Transformation Data-driven 98

Jet Global

OCTOBER 8, 2020

It also decreases the risk of errors by eliminating disjointed, manual processes. Operational, or non-financial, data enables CFOs to look further out and predict future demand for goods and service, manage costs, or reforecast inbound delivery schedules. Tip 2: Improving accounts receivable procedures.

Finance 98

Finance Reporting Forecasting Metrics 98

DataKitchen

FEBRUARY 2, 2023

The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. ’ They are data enabling vs. value delivery.

Metadata 130

Metadata Testing Risk Data Science 130

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 82

Insurance Data Architecture Risk Management Risk 82

Sisense

OCTOBER 6, 2020

These techniques allow you to: See trends and relationships among factors so you can identify operational areas that can be optimized Compare your data against hypotheses and assumptions to show how decisions might affect your organization Anticipate risk and uncertainty via mathematically modeling.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

Smart Data Collective

AUGUST 14, 2022

A comprehensive DLP plan can monitor data in transit within networks, cloud storage, and active endpoints. In addition to vulnerability assessment, DLP improves system administrators’ visibility – they can track how every user accesses data and bring the risk of a data leak to a minimum. Building a DLP Plan.

Risk 123

Risk Cost-Benefit Software Reporting 123

datapine

OCTOBER 7, 2020

They help in making the right decision: To ensure positive business results, data-enabled decisions are critical. What are key metrics in this case enabling – is an environment that focuses on making the right decision at the right time since they will present the data, and help you derive insights.

KPI 269

KPI Metrics Sales Visualization 269

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.

Operational Reporting 52

Operational Reporting Reporting Key Performance Indicator Dashboards 52

CIO Business Intelligence

DECEMBER 18, 2023

NTT DATA enables our clients to navigate this complexity by bringing everything together into one common platform through our Digital Foundation. Outdated hardware also poses security risks.

Software 119

Software Technology Digital Transformation Data-driven 119

CIO Business Intelligence

APRIL 15, 2022

The patients who were lying down were much more likely to be seriously ill, so the algorithm learned to identify COVID risk based on the position of the person in the scan. A similar example includes an algorithm trained with a data set that included scans of the chests of healthy children.

Analytics 145

Analytics Machine Learning Insurance Testing 145

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 Interactive 105

IBM Big Data Hub

APRIL 4, 2024

Benefits: Automated claim processing Reduced processing times Enhanced visibility Compliance and risk management By automating routine tasks and implementing predefined rules, BPM enables timely compliance with regulatory requirements and internal policies.

Management 60

Management Cost-Benefit Metrics Consulting 60

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. This helps Toshiba Memory increase product quality and continue to deliver high-quality products to its customers. Technical Impact.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

Ontotext

MAY 5, 2023

For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations. This is essential in facilitating complex financial concepts representation as well as data sharing and integration.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

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 76

Big Data Data-driven Sales Risk 76

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 98

Data-driven Digital Transformation Risk Risk Management 98

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 91

Data Governance Data-driven Data Processing Risk 91

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 64

OLAP Slice and Dice Cost-Benefit Data Warehouse 64