Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. Integrating reporting to move to a more streamlined, efficient approach to data collection. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Smart Data Collective

APRIL 9, 2020

This information is later provided, sold, and monopolized by corporations who are looking to make targeted advertising campaigns, collect user data, and much more. While this might be harmless in a way, not everyone is so calm about giving out their data. And not all data collection consists of mere browsing data.

Advertising 98

Advertising Data Collection Optimization Marketing 98

CIO Business Intelligence

JUNE 22, 2022

AssuredPartners is a full-service insurance broker providing commercial insurance, risk management, and employee benefits. The company, which has more than 8,500 employees, plans to continue growing by acquisition, and consolidating the global insurance market. Our goal is to consolidate the global market.

IT 98

IT Insurance Cost-Benefit Risk Management 98

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Improved risk management: Another great benefit from implementing a strategy for BI is risk management.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

SEPTEMBER 29, 2021

Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. . In Australia, the Government of New South Wales (NSW) is using data analytics to understand the impact of COVID-19, and also to make informed decisions driven by the data collected from across the state.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

Jet Global

NOVEMBER 29, 2023

Understanding the Magic Quadrant The Magic Quadrant graphic is a disarmingly simple representation of the state of a market. It provides a graphical comparative positioning of technology and service providers with high market growth and product differentiation. Market Responsiveness.

Reporting 52

Reporting Marketing Software Management 52

datapine

AUGUST 29, 2022

This process often comes with challenges related to scalability, consistency, reliability, efficiency, and maintainability, not to mention dealing with the number of software and technologies available in the market. Product/market fit is THE most important factor to get right. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

O'Reilly on Data

NOVEMBER 13, 2018

Fortunately there are members of our data community who have been thinking about these problems. One important change outlined in the report is the need for a set of data scientists who are independent from this model-building team. How to build analytic products in an age when data privacy has become critical”.

Machine Learning 220

Machine Learning Risk Management Statistics 220

Sisense

SEPTEMBER 3, 2020

They are the link between the data resources available to an enterprise and executives looking for opportunities to make the business better, faster, and stronger. Data Analyst. Data analysts might report to a CIO, a Chief Data Officer (CDO), or possibly to a data scientist or business analyst team leader.

Statistics 97

Statistics Metrics Visualization Finance 97

Jet Global

JULY 28, 2023

Across Europe, the Middle East, and Africa (EMEA), organizations have transitioned from optimism to pragmatism post-COVID-19, preparing for potential recession while emphasizing digitization and resilience to navigate global market trends. The State of Finance in EMEA Finance teams worldwide have been deeply impacted by market uncertainty.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Cloudera

FEBRUARY 14, 2018

We share the same obstacles our customers face – most of which are around data collection, data quality (or lack thereof), data governance as well as misalignment or miscommunication about who is responsible and accountable for managing and analyzing different datasets and analytical outcomes.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

Jet Global

MAY 9, 2024

Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated). Technologies used for data ingestion include data connectors, ingestion frameworks, or data collection agents.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Smart Data Collective

FEBRUARY 28, 2023

Here at Smart Data Collective, we have blogged extensively about the changes brought on by AI technology. In 1996, Ray Dalio of Bridgewater Associates, a prominent hedge fund, introduced the first risk parity fund under the moniker All Weather asset allocation approach. How is risk parity implemented?

Machine Learning 85

Machine Learning Risk Cost-Benefit Marketing 85

IBM Big Data Hub

MARCH 26, 2024

Have the sustainability goals evolved in response to recent regulation or market shifts? Most clients, regardless of the size of the company, have sustainability teams that are stretched, trying to manually chase data instead of focusing on what the data is saying.

Measurement 67

Measurement Metrics Strategy Reporting 67

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. As the article explains, data science is set apart from other business functions by two fundamental aspects: Relatively low costs for exploration.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

IBM Big Data Hub

FEBRUARY 8, 2023

Gartner predicts that the market for artificial intelligence (AI) software will reach almost $134.8 Organizations in highly regulated markets such as healthcare, government and financial services have additional challenges in meeting industry regulations around data and models. billion by 2025.

Risk Management 52

Risk Management Risk Modeling Metadata 52

Cloudera

MARCH 18, 2021

In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors. A means of incorporating the risk of market illiquidity, including liquidity horizons that range from 10 to 250 days.

Risk 55

Risk Machine Learning Risk Management Measurement 55

Alation

FEBRUARY 8, 2022

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

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 more data you have, the more costs you save. Complex infrastructure not needed.

IoT 104

IoT Analytics Manufacturing Cost-Benefit 104