CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Data-related decisions, processes, and controls subject to data governance must be auditable.

Data Governance 142

Data Governance Management Metadata Data Quality 142

datapine

JANUARY 6, 2022

Yet, before any serious data interpretation inquiry can begin, it should be understood that visual presentations of data findings are irrelevant unless a sound decision is made regarding scales of measurement. For a more in-depth review of scales of measurement, read our article on data analysis questions.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

FEBRUARY 13, 2023

Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. At this stage, it’s important to establish performance baselines, future goals, and how performance will be measured.

Management 97

Management Statistics Manufacturing Measurement 97

BA Learnings

AUGUST 7, 2021

In addition to that, the risk assessment will not be carried out properly, and you won’t know what pitfalls lie ahead until you’re already knee-deep in the problem. However, after putting in place infrastructure for this database, you realize you need to improve your data collection methods.

Digital Transformation 130

Digital Transformation Key Performance Indicator Cost-Benefit KPI 130

CIO Business Intelligence

MARCH 30, 2022

But that takes a deep understanding of the decision-making process, the risks and rewards of each decision, the acceptable margin of error, and the ability to figure how confident you should be in any decision offered by your automated decision processes. Risk scoring traditionally involved a series of if-then decisions.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

O'Reilly on Data

OCTOBER 22, 2020

The safest course of action is also the slowest and most expensive: obtain your training data as part of a collection strategy that includes efforts to obtain the correct representative sample under an explicit license for use as training data. How I use it: I like to ask this as early as possible.

Consulting 296

Consulting Risk Cost-Benefit Modeling 296

Alation

SEPTEMBER 9, 2021

Banks collect and manage a lot of sensitive data. And, the data collection doesn’t stop there — rich insights like transactions and purchasing information help to round out customer profiles. Identifying structured and unstructured data that needs to be protected. Tagging data types.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

By PATRICK RILEY For a number of years, I led the data science team for Google Search logs. We were often asked to make sense of confusing results, measure new phenomena from logged behavior, validate analyses done by others, and interpret metrics of user behavior. Why has this document resonated with so many people over time?

Metrics 107

Metrics Measurement Statistics Data Collection 107

FineReport

MAY 27, 2022

Financial reports (also known as financial statements ) are formal documents used to comprehensively and accurately record and reflect an enterprise’s financial conditions, operating results, and cash flows in a specific period. Step 2: Collect financial data. First, you need to collect and organize the original receipts.

Reporting 52

Reporting Dashboards KPI Metrics 52

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. 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 Top 6 Benefits of Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

IBM Big Data Hub

SEPTEMBER 7, 2023

It has an end-to-end process for building and testing foundation models and generative AI — starting with data collection and ending in control points for tracking the responsible deployments of models and applications — focused on governance, risk assessment, bias mitigation and compliance.

Modeling 105

Modeling Risk Unstructured Data Enterprise 105

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

One of the biggest lessons we’re learning from the global COVID-19 pandemic is the importance of data, specifically using a data catalog to comply, collaborate and innovate to crisis-proof our businesses. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance.

Measurement 96

Measurement Sales Data Governance Metadata 96

IBM Big Data Hub

SEPTEMBER 11, 2023

How to quantify the impact : Quantify, articulate and measure the expected long-term benefit of a capability to justify the investment. This strategy is not based on a “gut feel” or anecdotal knowledge of a few individuals, but on a well-documented, expansive set of findings, business analysis and calculated projections.

Data-driven 90

Data-driven IT Measurement Cost-Benefit 90

O'Reilly on Data

JULY 20, 2021

Few things within a home are restricted–possibly a safe with important documents. It comes down to a key question: is the risk associated with an action greater than the trust we have that the person performing the action is who they say they are? There is a tradeoff between the trust and risk.

Risk 304

Risk Software Interactive Modeling 304

IBM Big Data Hub

AUGUST 11, 2023

Gathering data from machines, sensors, operators and other Industrial Internet of Things (IIoT) devices, they provide accurate and up-to-date insights into the status of production activities. They also support the measurement of overall equipment effectiveness (OEE) , a significant metric used to gauge manufacturing efficiency.

Software 72

Software Manufacturing Cost-Benefit ROI 72

datapine

AUGUST 12, 2020

The importance of this finance dashboard lays within the fact that every finance manager can easily track and measure the whole financial overview of a specific company while gaining insights into the most valuable KPIs and metrics. These reports also enable data collection by documenting the progress you make.

Reporting 297

Reporting Dashboards Visualization Cost-Benefit 297

Jet Global

MAY 15, 2020

A financial Key Performance Indicator (KPI) or metric is a quantifiable measure that a company uses to gauge its financial performance over time. Under modern day reporting standards, companies are formally obligated to present their financial data in the following statements: balance sheet, income statement, and cash flow statement.

Metrics 98

Metrics Finance Reporting KPI 98

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. In other words, D&A plays a key role in the foundational measuring angle. Is there a good map that shows the connections between data, advanced analytics, digital, innovation, etc. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

O'Reilly on Data

OCTOBER 18, 2022

Data can be wrong. When we use AI in security applications, the risks become even more direct. 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. Predictions can be wrong. System designs can be wrong.

Risk Management 291

Risk Management Risk Testing Measurement 291

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. Most people are aware that companies collect our GPS locale, text messages, credit card purchases, social media posts, Google search history, etc.,

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. A planned BI strategy will point your business in the right direction to meet its goals by making strategic decisions based on real-time data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

DECEMBER 15, 2021

Modern business is built on a foundation of trusted data. Yet high-volume collection makes keeping that foundation sound a challenge, as the amount of data collected by businesses is greater than ever before. An effective data governance strategy is critical for unlocking the full benefits of this information.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

Sisense

JULY 23, 2021

Not only does it support the successful planning and delivery of each edition of the Games, but it also helps each successive OCOG to develop its own vision, to understand how a host city and its citizens can benefit from the long-lasting impact and legacy of the Games, and to manage the opportunities and risks created.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Domino Data Lab

AUGUST 1, 2021

For this demo we’ll use the freely available Statlog (German Credit Data) Data Set, which can be downloaded from Kaggle. This dataset classifies customers based on a set of attributes into two credit risk groups – good or bad. A12 : 0 <= … < 200 DM. A14 : no checking account. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Jet Global

NOVEMBER 15, 2021

A Tax Key Performance Indicator (KPI) or metric is a clearly defined quantifiable measure that an organization, or business, uses to measure the success of its Tax Function over time. to non-traditional KPIs including reputational risk management, efficiency and effectiveness of processes, innovative use of technology, etc.

Metrics 52

Metrics Reporting KPI Risk Management 52

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. CFO Priorities Manage expenses and cash flow Enable profitable growth Contain risk Plan for the future Connect the Dots Do the math. Let’s just give our customers access to the data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52