Cloudera

AUGUST 12, 2021

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Data enables Innovation & Agility.

Data-driven 107

Data-driven Manufacturing Insurance Risk Management 107

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

DataKitchen

FEBRUARY 21, 2023

We surveyed 600 data engineers , including 100 managers, to understand how they are faring and feeling about the work that they are doing. The top-line result was that 97% of data engineers are feeling burnout. are more efficient in prioritizing data delivery demands.”

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

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

CIO Business Intelligence

OCTOBER 16, 2023

The primary objective of Predictive AI is to extract valuable insights and make informed predictions based on available data. It aids decision-making processes, allowing businesses to optimize operations, identify potential risks, and develop data-driven strategies.

Forecasting 126

Forecasting Machine Learning Software Data-driven 126

Smart Data Collective

NOVEMBER 1, 2023

Discussed below are six ways to use data to improve employee performance. Manage employee time Effective time management helps better productivity and ascertain your company’s success. It allows your company to ensure effective employee time tracking and management.

Metrics 88

Metrics Measurement Data-driven Optimization 88

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 107

Analytics Digital Transformation Risk Forecasting 107

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. Enhanced Supply Management.

ROI 117

ROI Marketing Data Analytics Analytics 117

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

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. For example, in the U.S.,

Insurance 81

Insurance IoT Risk Data Processing 81

Cloudera

DECEMBER 15, 2021

Without the data to identify the way forward, organizations are ill-equipped to drive sustainable, long-term progress. Successful change on workplace diversity and inclusion starts with a data-driven approach. Digital leaders with established data strategies were likely to have made the most progress overall.

Data Strategy 80

Data Strategy Strategy Snapshot Data-driven 80

Ontotext

AUGUST 17, 2023

Management consultants regularly point to many of the root causes, but they often overlook a glaring common thread. 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.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Consulting 52

IBM Big Data Hub

APRIL 4, 2024

Business Process Management (BPM) is a systematic approach to managing and streamlining business processes. Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. BPM is often confused with other seemingly similar initiatives.

Management 60

Management Cost-Benefit Metrics Consulting 60

datapine

OCTOBER 7, 2020

Identifying what is working and what is not is one of the invaluable management practices that can decrease costs, determine the progress a business is making, and compare it to organizational goals. Business metrics are used to evaluate performance, compare results, and track relevant data to improve business outcomes.

KPI 269

KPI Metrics Sales Visualization 269

Cloudera

NOVEMBER 16, 2020

Use the Data Available. Besides the financial impact on an insurer’s results, society at large expects insurers to manage our collective premiums prudently including detecting and preventing fraud as much as possible. This requires a lot of data, a variety of data, and advanced analytic capabilities.

Insurance 96

Insurance ROI Marketing Machine Learning 96

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. What is Data Governance in Banking? In banks, this means: Setting data format standards.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

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

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

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

Sisense

OCTOBER 6, 2020

As quantitative data is always numeric, it’s relatively straightforward to put it in order, manage it, analyze it, visualize it, and do calculations with it. Spreadsheet software like Excel, Google Sheets, or traditional database management systems all mainly deal with quantitative data.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

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

DataKitchen

FEBRUARY 2, 2023

This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. A combined, interoperable suite of tools for data team productivity, governance, and security for large and small data teams. What will exist at the end of 2025?

Metadata 130

Metadata Testing Risk Data Science 130

Smart Data Collective

AUGUST 14, 2022

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. When the people responsible for managing data transit know its course and actions, it’s easier to protect PII and IP.

Risk 123

Risk Cost-Benefit Software Reporting 123

Cloudera

SEPTEMBER 12, 2018

It’s a big week for us, as many Clouderans descend on New York for the Strata Data Conference. The week is typically filled with exciting announcements from Cloudera and many partners and others in the data management, machine learning and analytics industry. Mike Barlow , Managing Partner, Cumulus Partners.

Machine Learning 44

Machine Learning Big Data Data Science Data Warehouse 44

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. This includes working with service providers that can manage and dispose of these assets correctly.

Software 111

Software Technology Digital Transformation Data-driven 111

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. These abstractions will serve both the IT manager and the expert and here the shared ontological model can align these two points of view.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Smart Data Collective

JULY 9, 2023

One effective way to achieve this is by implementing a centralized data system in your e-commerce studio to act as a hub for all your data – allowing for seamless collaboration and efficient management of your studio’s operations. Centralized data allows for better coordination and communication among team members.

Big Data 76

Big Data Data-driven Sales Risk 76

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

IBM Big Data Hub

AUGUST 11, 2023

If your manufacturing processes have become more intricate and challenging to manage manually, an MES can help streamline manufacturing operations management, increase efficiency and reduce errors. MES systems can assist managers with process management and process control, helping to facilitate optimal performance of manufacturing.

Software 74

Software Manufacturing Cost-Benefit ROI 74

IBM Big Data Hub

JUNE 14, 2023

Key SM tools include the following: Industrial Internet of Things (IIoT) The IIoT is a network of interconnected machinery, tools and sensors that communicate with each other and the cloud to collect and share data. Cloud and edge computing Cloud computing and edge computing play a significant role in how smart manufacturing plants operate.

Manufacturing 78

Manufacturing Technology Internet of Things Cost-Benefit 78

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 73

Data-driven Data Architecture Predictive Modeling Digital Transformation 73

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 94

Risk Data Lake Marketing Interactive 94

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

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. Better governance for better outcomes.

Data Governance 91

Data Governance Data-driven Data Processing Risk 91

AWS Big Data

NOVEMBER 29, 2023

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

Data Warehouse 99

Data Warehouse Data Lake Analytics Machine Learning 99

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. It helps facilitate the entire data and AI lifecycle, from data preparation to model development, deployment and monitoring.

Data Warehouse 109

Data Warehouse Cost-Benefit Machine Learning Modeling 109

AWS Big Data

MARCH 27, 2024

They can then use the result of their analysis to understand a patient’s health status, treatment history, and past or upcoming doctor consultations to make more informed decisions, streamline the claim management process, and improve operational outcomes. To create an AWS HealthLake data store, refer to Getting started with AWS HealthLake.

Data Analytics 89

Data Analytics Analytics Data Warehouse Data Lake 89