Smart Data Collective

JULY 19, 2021

This is definitely the main reason why enterprises are attracted by data center colo services. Risk Management. Companies using data centers within their data recovery strategies do this with the aim of mitigating risk in the case of some external mishap (unfortunate events such as natural disasters).

Cost-Benefit 129

Cost-Benefit Risk Management Risk Consulting 129

CIO Business Intelligence

FEBRUARY 7, 2023

benrothke Wayne Anderson, a security and risk management leader at Microsoft, offered his “personal guide to cloud security shared responsibility”: If it’s in your interface (compute, network, FW, DB, identity etc.), Implement identity and access management, and continuously monitor and update security posture. you own it.

Data Processing 119

Data Processing Risk Management Risk Consulting 119

Smart Data Collective

AUGUST 6, 2020

Maritime cyber risk refers to a measure of the extent to which a technology asset could be threatened by a potential circumstance or event, which may result in shipping-related operational, safety or security failures as a consequence of information or systems being corrupted, lost or compromised.”. Develop a Robust Strategy.

Risk 96

Risk Measurement Strategy Risk Management 96

Alation

AUGUST 17, 2022

If your definitions are bad, so is your governance/risk/security. Constellation Analyst Dion Hinchcliffe suggests that functions should be loosely integrated into the following streams: Governance, risk, compliance. Enterprise risk management. Data management. It’s not just an IT problem.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

O'Reilly on Data

NOVEMBER 13, 2018

We’re starting to see tools that allow you to build models while guaranteeing differential privacy , one of the most popular and powerful definitions of privacy. Classification parity means that one or more of the standard performance measures (e.g.,

Machine Learning 225

Machine Learning Risk Management Statistics 225

CIO Business Intelligence

APRIL 29, 2022

From a policy perspective, the organization needs to mature beyond a basic awareness and definition of data compliance requirements (which typically holds that local operations make data “sovereign” by default) to a more refined, data-first model that incorporates corporate risk management, regulatory and reporting issues, and compliance frameworks.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

APRIL 13, 2023

Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 111

IT Cost-Benefit Risk Consulting 111

DataRobot

JANUARY 18, 2022

The dictionary definition of zen is a state of meditative calm in which one uses direct, intuitive insights as a way of thinking and acting. The purpose of these checklists is to avoid complacency and to ensure conscious observation of risk management. AI governance should be proportionate to the risk. Start with the why.

Risk Management 52

Risk Management Risk Data-driven Metrics 52

BizAcuity

JULY 26, 2021

Improved security and risk management. Hybrid cloud computing aids businesses with crucial control on their data and improving security by reducing the potential risk of data disclosure. Cons of moving to Hybrid cloud.

IT 52

IT Cost-Benefit Data Processing Risk 52

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

erwin

DECEMBER 20, 2018

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 driving factors behind data governance adoption vary. The evolution from Data Governance 1.0 to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

BizAcuity

APRIL 6, 2022

There is no definite answer. Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Not using AI for predicting crypto price movements can be an extremely risky measure in the current financial climate. Sounds like a win-win situation.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. But with that said, we do see a lot of newer business models emerging, new channels of customer engagement, and definitely bigger and newer business problems. Moni: Right.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. BRIDGEi2i implemented a fraud-monitoring-and-prevention solution for a leading US bank. Learn MORE. “We

Risk 52

Risk Management Scorecard Forecasting 52

IBM Big Data Hub

JULY 12, 2023

Here are some important definitions, best practices and strong examples to help you build contingency plans for whatever your business faces. Team members discuss possible risks, analyze the risk impact of each one and propose courses of action to increase their overall preparedness. What is a contingency plan?

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

Domino Data Lab

APRIL 3, 2019

Definition and Descriptions. We’ll start with standard definitions – the currently accepted wisdom in the industry. That definition plus the one-liner provide good starting points. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. Clearly Document Data Policies and Rules.

Measurement 96

Measurement Sales Data Governance Metadata 96

Corinium

APRIL 25, 2019

Yes, definitely! For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. applies external authoritative standards from laws, regulations, and AI risk management frameworks. The answer is simple—bad things and legal liabilities.

Risk Management 298

Risk Management Risk Testing Measurement 298

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. The ability to measure results (risk-reducing evidence). Taking into consideration the works of McLuhan, Burke, Lanham, Laurel, Marenko, et al.,

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

AUGUST 29, 2022

With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community. To put this into perspective, 40,000 search queries are performed per second via Google alone – this equates to 3.46 trillion each year.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Identify key performance indicators (KPIs).

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

MARCH 24, 2022

It is critical that firms view data security as part of governance, risk management, and compliance (GRC). With the rise of the internet, concerns around spam and identity theft gave rise to early online privacy measures. A bank vault has both security and privacy measures in place to protect the contents within.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? To answer questions such as these and plan accordingly, organizations must implement data product portfolio management (DPPM). Strategies for measuring value and prioritizing data products are explored later in this post.

Management 77

Management Risk Measurement Optimization 77

Alation

DECEMBER 8, 2022

A quick search on “data governance” returns not just definitions, but also various “pillars,” “elements,” “phases,” and, of course, “frameworks” of good governance. There seem to be as many data governance vendors as there are data governance definitions! Finding the right data governance solution can be overwhelming.

Data Governance 52

Data Governance Data-driven Strategy Reporting 52

Jet Global

NOVEMBER 16, 2022

A board report need not contain every progress review managers have done to evaluate the performance of employees. This being said, the overall progress of the company should most definitely be reviewed. Specific, measurable, achievable, relevant, and time-bound (SMART) actions should be presented. management satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94