FineReport

APRIL 9, 2024

Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively. This trend addresses the need for users to interpret complex datasets through interactive visuals that facilitate a deeper understanding of the underlying information.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

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.”. Emphasize Physical Security.

Risk 96

Risk Measurement Strategy Risk Management 96

CIO Business Intelligence

MAY 18, 2022

The discipline of enterprise architecture (EA) is often criticized for forcing technology choices on business users or producing software analyses no one uses. While resiliency has always been a focus of EA, “the focus now is on proactive resiliency” to better anticipate future risks, says Barnett.

Enterprise 113

Enterprise Measurement Data-driven Software 113

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. Let’s consider an example about risk and opportunity event detection. Knowledge organization (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

erwin

MARCH 12, 2020

The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management. Use EA Performance Measures to Validate Enterprise Architecture Management Suite Value.

Enterprise 85

Enterprise Reporting Management ROI 85

Smart Data Collective

SEPTEMBER 22, 2021

One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. This type of fraud involves the use of technology and the internet to obtain personal information from a person.

Statistics 107

Statistics Risk Measurement Software 107

CIO Business Intelligence

DECEMBER 21, 2023

In order to comply with the new Standard, the industry will need to adapt its existing security measures to meet the tightened security controls, calling for a comprehensive review and potential overhaul of its cybersecurity infrastructure. 1] That’s a great idea. But what about in-person payments? becomes the only Standard available.

Measurement 52

Measurement Risk Management Risk Management 52

AWS Big Data

APRIL 12, 2023

Helping manage human risk with data-driven insights SANS Security Awareness helps organizations use best-in-class security awareness and training solutions to transform their ability to measure and manage human risk. With QuickSight, we are able to show organizations where they have cyber risk.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Financial services firms have a rich tradition of being early adopters of many new technologies, and AI is no exception: Figure 1.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

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

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.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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. Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

Ontotext

FEBRUARY 26, 2024

The answers to these foundational questions help you uncover opportunities and detect risks. We bundle these events under the collective term “Risk and Opportunity Events” This post is part of Ontotext’s AI-in-Action initiative aimed to empower data, scientists, architects and engineers to leverage LLMs and other AI models.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 80

Marketing Analytics Visualization Strategy 80

Domino Data Lab

APRIL 3, 2019

For definitions, let’s start with a standard textbook/encyclopedia definition: “Data governance encompasses the people, processes, and information technology required to create a consistent and proper handling of an organization’s data across the business enterprise. ”. That definition plus the one-liner provide good starting points.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

Corinium

APRIL 25, 2019

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. This stuff works.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. How regulatory requirements interact.

Finance 88

Finance KPI Risk IoT 88

CIO Business Intelligence

MAY 17, 2022

The company is on a mission to revolutionize the banking industry through technology and data and serves as a model for harnessing the power of data for growth. . A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well.

ROI 52

ROI Risk Marketing Modeling 52

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. AI audits and assessments may focus on bias issues or other serious risks including safety , data privacy harms , and security vulnerabilities.

Risk Management 291

Risk Management Risk Testing Measurement 291

Octopai

JULY 12, 2020

FCSA needed a better solution as manual data mapping was proving to be too time-consuming and it couldn’t deliver the improvements expected from a technology conversion. Automated Data Lineage Helps BI & Analytics Understand Their Data. So, they began using Octopai’s superior automated data lineage and data discovery tools.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. By measuring performance, they drive improvements through necessary process and workflow changes. And how willing are key people to move away from current data management practices and tools?”.

Metrics 59

Metrics Measurement Strategy Optimization 59

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). Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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. BI is not just a technology initiative.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. trillion in 2020 to $5.16

Enterprise 143

Enterprise Technology Consulting Software 143

Alation

MARCH 24, 2022

Personal information is defined in a data framework within the asset-protected privacy rules, processes, and technologies. It is critical that firms view data security as part of governance, risk management, and compliance (GRC). 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

In the same way, organizations seeking to implement successful data mesh strategies must respect the nature and structure (legal, political, commercial, technology) of their organizations in their implementation. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 75

Management Risk Measurement Optimization 75

CIO Business Intelligence

APRIL 12, 2022

A McKinsey study on the impact of this extended disruption found something very interesting: while 75% of companies surveyed faced problems with their supplier base, production and distribution, 85% said they struggled with “insufficient digital technologies” in the supply chain. The solution? Complex infrastructure not needed.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Andrew White

JANUARY 11, 2021

So the material is not designed for IT – but spans business and technology. How do you think Technology Business Management plays into this strategy? Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Governance. Architecture.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Cloudera

NOVEMBER 30, 2023

From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions. Trusting in AI Requires Trusting Your Data Good AI rides on the back of good data.

Risk Management 75

Risk Management Risk Strategy Modeling 75

Jet Global

FEBRUARY 15, 2024

Looking back on the decade so far, technology has made significant strides from the proliferation of remote work to companies moving rapidly to the cloud. But finance teams are slow to adopt this technology. ESG is a broad topic, but with the right technology, organizations can be better equipped to adopt and maintain ESG initiatives.

Finance 52

Finance Reporting Software Operational Reporting 52