Smart Data Collective

JANUARY 14, 2022

There is no disputing the fact that data technology has changed the future of the financial industry. One of the sectors most impacted by big data has been banking. Big data is even more important to the banking sector as more of their services become digitalized. billion by 2026.

Big Data 104

Big Data Cost-Benefit Finance Data-driven 104

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. What is the application of data analysis?

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

BizAcuity

APRIL 6, 2022

Crypto casinos offer them exactly what they seek- convenience, privacy, fast service and a unique wagering experience. Casinos, where cryptocurrencies are the primary or only source of payment, are often called Crypto Casinos. Similarly, crypto gaming is a term used for casino games that let you place wagers using popular cryptocurrencies.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

datapine

MAY 31, 2022

It provides better data storage, data security, flexibility, improved organizational visibility, smoother processes, extra data intelligence, increased collaboration between employees, and changes the workflow of small businesses and large enterprises to help them make better decisions while decreasing costs.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

O'Reilly on Data

FEBRUARY 20, 2024

Almost every company has undertaken AI projects, including companies that, at least on the face of it, have “no AI” policies. led to GPT-4 and multimodal GPT-4V, and OpenAI has announced an Enterprise service with better guarantees for security and privacy. With that in mind, we need to ask what companies must do to use AI responsibly.

Insurance 182

Insurance Modeling Technology Reporting 182

CIO Business Intelligence

AUGUST 1, 2022

For the healthcare sector, siloed data comes across as a major bottleneck in the way of innovative use cases such as drug discovery, clinical trials, and predictive healthcare. A single patient generates nearly 80MB of data annually through imaging and electronic medical records.

Consulting 98

Consulting Deep Learning Modeling Software 98

Alation

MARCH 21, 2023

Today, modern travel and tourism thrive on data. For example, airlines have historically applied analytics to revenue management, while successful hospitality leaders make data-driven decisions around property allocation and workforce management. What is big data in the travel and tourism industry?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

Alation

JULY 28, 2022

There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing? The cloud is no longer synonymous with risk.

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

Alation

JULY 6, 2021

Common Data Governance Challenges. Every enterprise runs into data governance challenges eventually. Issues like data visibility, quality, and security are common and complex. Data governance is often introduced as a potential solution. Hefty fines penalize data consumers who violate privacy laws, like the GDPR.

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Jet Global

MARCH 23, 2024

A government key performance indicator (KPI) is a quantifiable measure that the public sector uses to evaluate its performance. Government KPIs function like KPIs used by for-profit businesses — they demonstrate the organization’s overall performance and its accountability to its stakeholders.

Reporting 52

Reporting KPI Metrics Measurement 52

Jet Global

JUNE 23, 2023

A government key performance indicator (KPI) is a quantifiable measure that the public sector uses to evaluate its performance. Government KPIs function like KPIs used by for-profit businesses — they demonstrate the organization’s overall performance and its accountability to its stakeholders.

Reporting 52

Reporting KPI Metrics Measurement 52

Jet Global

MAY 1, 2023

By leveraging data analysis to solve high-value business problems, they will become more efficient. This is in contrast to traditional BI, which extracts insight from data outside of the app. Introduction Why should I read the definitive guide to embedded analytics? CRM, ERP, EHR/EMR) or portals (e.g., intranets or extranets).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Jet Global

MAY 20, 2022

They need to ensure that cost allocation rules and calculations are applied properly, that transfer pricing records are fully auditable, and that price-based forecasts can be adjusted over time as rates, rules, formulas, and data change. Regulatory scrutiny of transfer pricing practices is more intense than ever before.

Technology 52

Technology Software Forecasting Reporting 52