Smart Data Collective

MAY 8, 2022

Let’s not forget that big data and AI can also automate about 80% of the physical work required from human beings, 70% of the data processing, and more than 60% of the data collection tasks. From the statistics shown, this means that both AI and big data have the potential to affect how we work in the workplace.

Big Data 104

Big Data Data Analytics Analytics Cost-Benefit 104

O'Reilly on Data

NOVEMBER 13, 2018

The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts.

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

CIO Business Intelligence

MARCH 24, 2023

To help understand what a framework should cover, DAMA envisions data management as a wheel, with data governance as the hub from which the following 10 data management knowledge areas radiate: Data architecture : The overall structure of data and data-related resources as an integral part of the enterprise architecture Data modeling and design: Analysis, (..)

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. The Top 6 Benefits of Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

IBM Big Data Hub

MARCH 26, 2024

As we have seen with any sort of external reporting liabilities, this type of accountability does drive action. It’s our responsibility to ensure we don’t just do ESG reporting for the sake of reporting, and that it doesn’t impede actual progress in sustainability.

Measurement 61

Measurement Metrics Strategy Reporting 61

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. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

IBM Big Data Hub

FEBRUARY 8, 2023

The IBM AI Governance solution automates across the AI lifecycle from data collection, model building, deploying and monitoring. This comprehensive solution comes without the excessive costs of switching from your current data science platform. identify, manage, monitory and report on risk and compliance at scale.

Risk Management 52

Risk Management Risk Modeling Metadata 52

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

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

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

datapine

AUGUST 29, 2022

Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc., and this book will give you an insight into their data collecting procedures and the reasons behind them. The author also introduces the concept of “analytics 3.0”

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Find out what is working, as you don’t want to totally scrap an already essential report or process. What data analysis questions are you unable to currently answer? click to enlarge**.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

APRIL 12, 2022

Driving this parallel growth in smart manufacturing and supply chain technology are a handful of technologies: Industrial Internet of Things (IIoT):devices that enable data collection from more interaction points, factory automation, shipment tracking via GPS and machine-to-machine (M2M) and machine-to-people (M2P) communications Artificial intelligence (..)

IoT 104

IoT Analytics Manufacturing Cost-Benefit 104

Jet Global

NOVEMBER 15, 2021

For an organization to be successful in their tax function, they need to evaluate the performance of their tax function using a variety of KPIs and metrics, ranging from traditional KPIs such as effective tax rate, filing timelines, financial risk management, etc.; How to Compare Reporting & BI Solutions. Centralized Data.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

JULY 28, 2023

Breaking the Disconnect With Narrative Reporting [EMEA] Download Now IT Dependence In EMEA, skills shortages and IT dependence prove to be significant challenges this year. According to Robert Half , 91% of CFOs in the EMEA region reported facing challenges in finding skilled finance professionals.

Finance 52

Finance Uncertainty Reporting Forecasting 52

Jet Global

NOVEMBER 29, 2023

Gartner sets a notoriously high bar for inclusion in its MQ reports. Like other Gartner Magic Quadrant reports, the financial close and consolidation version provides a graphical comparative positioning of technology and service providers where market growth is high and provider differentiation is distinct.

Reporting 52

Reporting Marketing Software Management 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52