datapine

MAY 2, 2023

You can use big data analytics in logistics, for instance, to optimize routing, improve factory processes, and create razor-sharp efficiency across the entire supply chain. The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. Did you know?

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

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

OCTOBER 16, 2023

According to Forrester , GenAI will have an average annual growth rate of 36% up to 2030, capturing 55% of the AI software market. Predictive AI models can be trained to predict stock market trends, customer behavior, disease progression, and much, much more. But it shouldn’t.

Forecasting 113

Forecasting Machine Learning Software Data-driven 113

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 101

Data-driven Digital Transformation Risk Risk Management 101

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 141

Analytics Machine Learning Insurance Testing 141

Alation

DECEMBER 8, 2022

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. It also means data governance can be boiled down to a single word: trust.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

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 80

Risk Data Lake Marketing Interactive 80

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

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 75

Data-driven Data Architecture Predictive Modeling Digital Transformation 75

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 109

Analytics Digital Transformation Forecasting Risk 109

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 59

OLAP Slice and Dice Cost-Benefit Data Warehouse 59

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. Depending on the task, watsonx.ai

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

Jet Global

NOVEMBER 7, 2023

They have invested in training existing employees over hiring additional people and in marketing existing hero products over developing new products. Meanwhile, Robert Half recruitment data shows that nearly 90% of hiring managers are having a hard time finding skilled talent to join their finance teams.

Finance 52

Finance Uncertainty Reporting Marketing 52

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. Use the Data Available.

Insurance 100

Insurance ROI Marketing Machine Learning 100

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

CIO Business Intelligence

APRIL 12, 2022

Further, the tools and devices available on the market are proprietary and prone to vendor lock-in. That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. The greatest benefit comes from the quality and volume of data,” said Niko Polvinen , CEO of Logmore.

IoT 100

IoT Analytics Manufacturing Cost-Benefit 100

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 95

Data Governance Data-driven Data Processing Risk 95

Alation

JUNE 1, 2023

Every Data, Everywhere, All at Once with DIRECTV Who: Jack Purvis , senior director, chief data officer at DIRECTV, and Joe Conard , principal big data engineer at DIRECTV When: Tuesday, June 27, at 12:30 p.m. The data governance team’s solution? That’s why viewership analytics are key to DIRECTV’s success.

Metadata 52

Metadata Data Governance Data-driven Recreation/Entertainment 52

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 103

Data Warehouse Data Lake Analytics Machine Learning 103

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 69

Software Manufacturing Cost-Benefit ROI 69

IBM Big Data Hub

DECEMBER 20, 2023

Hybrid cloud has become the IT infrastructure of choice, providing the interoperability and portability organizations need to access data where and when they need it. Yet navigating the complexities of building and managing a hybrid environment poses unique challenges.

Strategy 96

Strategy Cost-Benefit Digital Transformation Optimization 96

Jet Global

APRIL 3, 2024

With the complexities of consolidation being both time-consuming and intricate, the decision to migrate to the cloud isn’t a matter of ‘if’ but ‘when’ Cloud solutions offer centralized data management, eliminating scattered spreadsheets and manual input, ensuring consistent and accurate data organization-wide.

Reporting 52

Reporting Cost-Benefit Software Forecasting 52

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

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 83

Insurance IoT Risk Data Processing 83

CIO Business Intelligence

NOVEMBER 14, 2022

The migration of advanced analytics to the cloud has been an iterative, evolving process,” said Deirdre Toner, Go-To-Market leader for AWS’s analytics portfolio of services. The goal is a data platform that can evolve and can scale almost infinitely, using an iterative approach to maintain flexibility, with guardrails in place. “IT

Analytics 89

Analytics Machine Learning Testing Data Strategy 89

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. Unlock Market Insight.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

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 72

Manufacturing Technology Internet of Things Cost-Benefit 72

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 73

Machine Learning Manufacturing Cost-Benefit Deep Learning 73

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

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

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

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. This is where data governance comes in. .

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

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 Metrics 98

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

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 93

Data Analytics Analytics Data Warehouse Data Lake 93

CIO Business Intelligence

MARCH 6, 2023

The company, which customizes, sells, and licenses more than one billion images, videos, and music clips from its mammoth catalog stored on AWS and Snowflake to media and marketing companies or any customer requiring digital content, currently stores more than 60 petabytes of objects, assets, and descriptors across its distributed data store.

Data Lake 59

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 59

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?” Qualitative data benefits: Unlocking understanding.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98