erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Is it sensitive data or are there any risks associated with it?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

Jet Global

APRIL 25, 2024

Organizations that maintain SOX compliance support confidence in financial markets by operating within a framework that mitigates the risk of corporate fraud and strengthens the integrity of financial reporting. The majority of your SOX compliance audit will be spent reviewing internal controls for the purposes of risk management assessment.

Reporting 52

Reporting Risk Management Risk Software 52

Jet Global

MAY 9, 2024

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization?

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

NOVEMBER 23, 2022

In terms of business benefits, respondents cited improvements with the alignment of capabilities with strategy, business investment decisions, compliance and risk management, business processes, collaboration between functions, business insights, business agility and continuity , and a faster time to market and innovation.

Enterprise 116

Enterprise Cost-Benefit Digital Transformation Strategy 116

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. Humans can’t keep up.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Laminar Security

MAY 3, 2023

They define DSPM technologies this way: “DSPM technologies can discover unknown data and categorize structured and unstructured data across cloud service platforms. At Laminar, we refer to those “unknown data repositories” as shadow data. Data can be copied, modified, moved, and backed up with just a few clicks.

Management 52

Management Risk Risk Management Data Processing 52

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.; KPIs for Tax Departments – Tax Risk. Download Now.

Metrics 52

Metrics Reporting KPI Risk Management 52

Smart Data Collective

FEBRUARY 20, 2022

During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques. A typical DAM deployment project can last from one month up to several years. DAM is the silver bullet that forestalls these scenarios.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

Octopai

JULY 12, 2020

After all, how do you adjust this month’s operations based on last month’s data if it takes two weeks to finally receive the information you need? This is exactly how Octopai customer, Farm Credit Services of America (FCSA) , felt when their BI team needed to modernize their data warehouse.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

IBM Big Data Hub

JULY 31, 2023

While bank failures are often the result of bad management decisions and policies, there’s good reason to attribute some blame to delayed modernization initiatives and strategies. Couldn’t execs have run better analyses to spot risks within the data? Why did they fail to launch a new mobile app?

Digital Transformation 51

Digital Transformation Uncertainty Risk Data Warehouse 51

CIO Business Intelligence

APRIL 22, 2024

Questi requisiti sono suddivisi in tre macroaree: governance, risk management e controllo della catena di fornitura. Infatti, Esposito sta lavorando sulla protezione dei vari impianti produttivi con una rete sicura per trasportare i dati verso il data warehouse centralizzato che li integra e che abilita la control room.

Data Lake 88

Data Lake Testing Management IoT 88

Jet Global

APRIL 25, 2024

Stakeholders, including management, investors, creditors, and regulators, rely on reliable financial data to assess the financial health and performance of the organization, evaluate investment opportunities, and make strategic business decisions. Reconciliation is also crucial for effective cash management.

Reporting 52

Reporting Finance Management Software 52

DataRobot Blog

FEBRUARY 21, 2022

Also, since security and risk management have become board-level issues for organizations ( Gartner ), you need to think about these as well. Before deciding what would be the best tool for your data science team, let’s look at the criteria for how you choose a notebook solution: Efficiency: What languages can I use?

Data Science 52

Data Science Recreation/Entertainment Risk Visualization 52

Jet Global

FEBRUARY 15, 2024

2024 is an important year for ESG initiatives as there has been an increase in mandatory ESG disclosures like the Corporate Sustainability Reporting Directive in Europe and the SEC’s proposed rule to disclose emissions and risk management practices for US-based organizations.

Finance 52

Finance Reporting Software Operational Reporting 52

Jet Global

NOVEMBER 16, 2022

risk and compliance management. management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. progress reviews. action oriented strategic plans.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

datapine

AUGUST 29, 2022

The book has three main ideas: The biggest risk your company faces is investing a lot of time and resources into building something that the market doesn’t want. and this book will give you an insight into their data collecting procedures and the reasons behind them. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Jet Global

JULY 28, 2023

Understanding evolving market conditions and consumer behaviors in EMEA remains crucial for capitalizing on emerging opportunities and mitigating risks in this dynamic and competitive landscape. This is particularly worrying given the increasing layers of global finance regulation.

Finance 52

Finance Uncertainty Reporting Forecasting 52

datapine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. BI Data Scientist. A data scientist has a similar role as the BI analyst, however, they do different things. Business Intelligence Job Roles.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Jet Global

APRIL 5, 2021

Risk management. Asset and liability financial models are primarily used by financial institutions (banks and insurance companies) and pension funds (corporate or public) to manage their financial objectives. This is achieved through thorough risk management strategies that are continually reviewed.

Modeling 98

Modeling Forecasting Metrics Finance 98

Jet Global

DECEMBER 22, 2020

It also has implications for risk management; lots of small policies are less risky than a few large policies. An increasing loss ratio suggests a company may be evaluating risk the wrong way or pricing premiums too low. Dividing the total amount of premiums by the total number of policies reveals the average policy size.

Insurance 69

Insurance Recreation/Entertainment Metrics Finance 69

Jet Global

MARCH 2, 2022

For one, companies that place an emphasis on their environmental and social impacts and responsibilities, have been shown to be more resilient and that they’re able to manage their risks better during a crisis. The SFDR aims to give more transparency about sustainability and provide a common set of rules on sustainability risks.

Reporting 59

Reporting Recreation/Entertainment Risk Insurance 59

Jet Global

JANUARY 24, 2022

As KPMG reports: “Investment managers and portfolio companies are adopting sophisticated ESG practices as a critical part of risk management and as a means to differentiate their business. Managing reputational risk by being more open about tax policies will consequently become ever more important.

Management 52

Management Recreation/Entertainment Finance Forecasting 52

Jet Global

JUNE 21, 2021

Learn why tax is playing an important part in enterprise risk management. Read how to elevate tax to a strategic function. This will introduce more change than just altering a tax rate, especially for large organizations that operate in multiple countries.

Recreation/Entertainment 98

Recreation/Entertainment Digital Transformation Finance Reporting 98

Jet Global

NOVEMBER 29, 2023

To be considered, product capabilities must include close management, financial consolidation, financial statement reconciliation and journal entry processing. Optional capabilities include financial reporting risk management and disclosure management.

Reporting 52

Reporting Marketing Software Management 52

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

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Value Management or monetization. Product Management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

JULY 31, 2022

Other related tasks that saw big jumps in prioritization for finance were “management of company’s investments,” “internal risk management,” and “short-term business strategy,” all of which carry strong strategic importance. As Finance’s role in organizational strategy continues to grow, the need for agility becomes more urgent.

Finance 52

Finance Forecasting Operational Reporting Reporting 52

Alation

FEBRUARY 8, 2022

These are valuable systems for enterprise risk management. Yet traditional data governance has been a challenging legacy to shake off. It forced a top-down, centralized approach to compliance that over-burdened IT, creating data bottlenecks (and frustrated consumers). Plane 3: Mesh Supervision Plane.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Domino Data Lab

APRIL 3, 2019

Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Most of the data management moved to back-end servers, e.g., databases. a second priority?at

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84