Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Download your free copy of How to Build a Model Driven Business.

Modeling 64

Modeling IT Risk Management Deep Learning 64

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JUNE 14, 2019

Netflix’s origins were similar – annihilating its former rival Blockbuster and the entire DVD rental market to become a dominant streaming platform and media publisher. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. Data will zero in on the location of the problem.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Alation

AUGUST 17, 2022

According to analysts, data governance programs have not shown a high success rate. According to CIOs , historical data governance programs were invasive and suffered from one of two defects: They were either forced on the rank and file — who grew to dislike IT as a result. The Risks of Early Data Governance Programs.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

CIO Business Intelligence

NOVEMBER 23, 2022

The process is driven by a “comprehensive picture of an entire enterprise from the perspectives of owner, designer, and builder,” according to the EABOK. EA is also used in systems development, IT management and decision-making, and IT risk management to eliminate errors, system failures, and security breaches.

Enterprise 126

Enterprise Cost-Benefit Digital Transformation Strategy 126

Smart Data Collective

APRIL 16, 2021

The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 This is critical if you want to stop a data breach. Why do you need an email security plan?

Enterprise 144

Enterprise Data-driven Data Processing Risk 144

Jet Global

APRIL 25, 2024

With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. This requirement includes establishing financial reporting standards, ensuring data security controls, monitoring attempted breaches, keeping track of electronic records for audits, and demonstrating compliance.

Reporting 52

Reporting Risk Management Risk Software 52

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

DECEMBER 20, 2023

Organizations face persistent challenges in achieving, and more importantly, sustaining Payment Card Industry Data Security Standard (PCI DSS) compliance. This ongoing struggle is better understood through comprehensive analyses, as outlined in the Payment Security Report (PSR) [4] , which Verizon has published for more than a decade.

Optimization 52

Optimization Data-driven Risk Management Management 52

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 81

Management Risk Measurement Optimization 81

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. These industries accumulate ridiculous amounts of data on a daily basis.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

JANUARY 31, 2024

We show you how to access data, define custom functions to apply on data, query and filter the dataset, and visualize the results of the analysis, all without having to worry about setting up infrastructure or configuring Spark, even for large datasets. SIAC has recommended that firms prepare for peak data rates of up to 37.3

Marketing 86

Marketing Analytics Visualization Strategy 86

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Cloud Innovation.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

Ontotext

MAY 5, 2023

Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) These two key data elements are used in approximately 80% of the use cases in the sector. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

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.; Good quality data can help the organization avoid audit adjustments.

Metrics 52

Metrics Reporting KPI Risk Management 52

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

Statistics 97

Statistics Metrics Visualization Finance 97

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology.

Big Data 93

Big Data Risk Measurement Data mining 93

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Gartner also published the same piece of research for other roles, such as Application and Software Engineering. Some data is more a risk than valuable.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MARCH 2, 2022

ESG reporting is the process of disclosing data by a company or organization about its environmental, social, and governance impacts. Human capital management and development. Privacy and data security. As such, there are no formal requirements that require companies and organizations to report and provide their ESG data.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

IBM Big Data Hub

MARCH 26, 2024

A company cannot report on scope 3 category 7 of employee commute without employee data from HR or facilities management data, or without the technology platform and data governance to have an auditable view of that data. The idea of embedding is integrating it into the day-to-day role.

Measurement 64

Measurement Metrics Strategy Reporting 64

DataRobot

DECEMBER 6, 2021

Data scientists have been so preoccupied with whether they could build an algorithm, they didn’t stop to think about whether they should. AI Impact Statements are rapidly becoming the tool of choice for thinking about whether an AI-driven solution will deliver business value, operate safely and ethically, and align with stakeholder needs.

Data-driven 52

Data-driven Risk Publishing Risk Management 52

IBM Big Data Hub

APRIL 21, 2023

There are several data-intensive disclosures within the European Sustainability Reporting Standards (ESRS) covering greenhouse gas emissions, energy, waste, water, recycling and social metrics. Companies that are already subject to the NFRD will need to report on 2024 data (reporting year 2025). What is the EU CSRD?

Reporting 43

Reporting Metrics Risk Strategy 43

Alation

MARCH 24, 2022

Is your data protected? Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. Understanding the similarities and differences between data security and data privacy is key to establishing a more robust compliance program. Email address.

Data Governance 52

Data Governance Risk Data-driven Measurement 52