erwin

JUNE 14, 2019

According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years. As an integrated software platform , organizations ensure IT and business collaboration to drive risk management , innovation and transformation efforts.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

Anmut

MARCH 2, 2020

As the graphic below shows, the shift in company valuations – even between 2013 and 2019 – is striking. The purpose of this blog and the ones that follow it are to explore these questions. An alternative perspective – think about KPIs and reporting. Let’s start by thinking about data as an asset.

Insurance 52

Insurance Risk Management Risk Cost-Benefit 52

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. IRM technology product leaders will need to develop IRM capabilities that are capable of addressing the IRM market insights outlined in this blog post. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

CDW Research Hub

JUNE 5, 2019

According to Data Under Attack: 2018 Global Data Risk Report From the Varonis Data Lab , 65 percent of companies have over 500 users who are never prompted to change their passwords. Check out Varonis’ full list of 60 Must-Know Cybersecurity Statistics for 2019. clocking in 126, according to Global Finance. Risky Business.

Statistics 72

Statistics Risk Management Finance Risk 72

erwin

OCTOBER 24, 2019

A recent IDC Innovators: Data Intelligence Report says that getting answers to such questions as “where is my data, where has it been, and who has access to it” requires harnessing the power of metadata. Organizations then can take a data-driven approach to business transformation , speed to insights, and risk management.

Metadata 104

Metadata Management Data-driven Data Architecture 104

BizAcuity

MARCH 31, 2022

of organizations who participated in an executive survey back in 2019 claimed they are going to be investing in big data and AI. Not just banking and financial services, but many organizations use big data and AI to forecast revenue, exchange rates, cryptocurrencies and certain macroeconomic variables for hedging purposes and risk management.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Domino Data Lab

FEBRUARY 4, 2019

This edition of the conference will be held May 23–24, 2019 in NYC, where we’ll focus on data science as a team sport: leadership , practices , how teams work. 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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Alation

FEBRUARY 8, 2022

In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. In this blog, we’ll do the same with data mesh, unpacking the four key pillars, with a few notes on the role of the data catalog.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

CDW Research Hub

OCTOBER 4, 2019

Forrester’s forecast for cloud computing in 2019 concluded: The largest public cloud providers are getting bigger. Cloud computing is not essentially insecure and a recent report shows that most IT leaders are acknowledging this. But cloud computing does need to be managed in a secure way. Infrastructure as a Service (IaaS).

Modeling 40

Modeling Risk Digital Transformation Risk Management 40