IBM Big Data Hub

FEBRUARY 23, 2024

The GDPR applies to any organization that processes the personal data of European residents, regardless of where that organization is based. Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. For a full list of approved legal bases, see the GDPR compliance page.

Measurement 86

Measurement Risk Data Collection Data Processing 86

IBM Big Data Hub

FEBRUARY 9, 2023

Technology and data architecture play a crucial role in enabling data governance and achieving these objectives. Focus and prioritize what you’re delivering to the business, determine what you need, deliver and measure results, refine, expand, and deliver against the next priority objectives. Don’t try to do everything at once!

Data Governance 85

Data Governance Business Objectives Strategy Data Quality 85

O'Reilly on Data

JULY 28, 2020

These measures are commonly referred to as guardrail metrics , and they ensure that the product analytics aren’t giving decision-makers the wrong signal about what’s actually important to the business. When a measure becomes a target, it ceases to be a good measure ( Goodhart’s Law ). Data Wrangling and Feature Engineering.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

AUGUST 1, 2023

Data collection on tribal languages has been undertaken for decades, but in 2012, those working at the Myaamia Center and the National Breath of Life Archival Institute for Indigenous Languages realized that technology had advanced in a way that could better move the process along.

Risk 98

Risk IT Software Digital Transformation 98

CIO Business Intelligence

JULY 20, 2023

I’ll never forget the look on my first mortgage clients’ faces as they signed for their new home – the joy and relief washing over them in equal measure. Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on.

Technology 98

Technology Finance Advertising Digital Transformation 98

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

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

You can measure the number of click-throughs your products are getting by using web analytics tools like Bitly, for example, to determine if the website is generating the right buzz. 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

Jet Global

AUGUST 23, 2021

Used primarily in a strategic context by corporate Finance Divisions and Boards of Directors, financial statements are key documents that must be prepared and produced with care. In this context, an average of almost 30% of Administration and Finance Divisions think that data collection can be improved.

Finance 52

Finance Reporting Data Collection Data Quality 52

Smart Data Collective

MARCH 28, 2022

The volume of big data can be significantly large, which calls for the need for a data analytics system to help efficiently process the information and make strategic decisions based on it. Professional training should be given to managers and teachers who are involved in data collection and assessment to avoid human errors.

Data Analytics 85

Data Analytics Software Analytics Statistics 85

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

Smart Data Collective

DECEMBER 20, 2019

The data that IoT devices collect can inform and enable action throughout the scope of a project and even beyond. Alternatively, IoT can measure and identify public roadways that need servicing. IoT technology can reduce tension by collecting relevant information in real time and delivering it to the necessary parties.

IoT 58

IoT Internet of Things Measurement Reporting 58

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

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days. Alex Ratner on “Creating large training data sets quickly”.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

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

CIO Business Intelligence

MARCH 30, 2022

Augment complex processes — especially for data collection. For example, LexisNexis uses machine learning to analyze court documents, says Baumhof, nothing that, for example, a plea might need to be written in a particular way to get a positive reaction from certain judges. But a human being would do the final version of it.”.

Machine Learning 144

Machine Learning Testing Risk Data-driven 144

Jet Global

JULY 8, 2020

A distribution Key Performance Indicator (KPI) or metric is a measure that a company in the distribution sector uses to monitor its performance and efficiency. These metrics help companies identify areas of operational success and failure through measuring specific quantifiable aspects of their business. What Is a Distribution KPI?

Metrics 52

Metrics Reporting KPI Key Performance Indicator 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

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. The latter is any type of external data that has been attached to a book? Unfortunately, that API does not permit collection of synopses.

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

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

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 example is the European Union (EU) Open Data Portal , which is used to document, catalog and govern EU data related to the pandemic. 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

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 93

Data-driven IT Measurement Cost-Benefit 93

IBM Big Data Hub

SEPTEMBER 7, 2023

IBM’s watsonx AI and data platform lets you go beyond being an AI user and become an AI value creator. After a score is assigned to each sentence in a document, analytics are run over the sentences and scores to explore the distribution, which determines the percentage of sentences for filtering.

Modeling 107

Modeling Risk Unstructured Data Enterprise 107

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 76

Software Manufacturing Cost-Benefit ROI 76

Alation

OCTOBER 12, 2022

Companies collect and analyze vast amounts of data to make informed business decisions. From product development to customer satisfaction, nearly every aspect of a business uses data and analytics to measure success and define strategies. Some examples of quantitative data include: Counts or units, stored as raw numbers.

Statistics 52

Statistics Sales Testing Marketing 52

AWS Big Data

MARCH 28, 2024

Krones equips their lines with sensors for data collection, which can then be evaluated against rules. It provides support in the organization, prioritization, management, and documentation of all activities in the company. So how to detect a failure? The event time is the timestamp from when the event was created at the source.

Management 82

Management Broadcasting IoT Metrics 82

Cloudera

AUGUST 17, 2020

The CDM process has the goal of enabling our COEs (Customer Operations Engineers) to document the diagnostic path they followed when helping resolve the customer’s issue. This includes documenting any existing content that aided in either identifying the cause or in delivering the solution.

Testing 86

Testing Machine Learning Interactive Metrics 86

FineReport

JUNE 26, 2023

Serving as foundational documents : Performance reports serve as the groundwork for other reports and documentation. Internal performance reports serve as a fundamental source for preparing external reports and documents, given that the required data is already collected.

Reporting 52

Reporting Key Performance Indicator Sales Visualization 52

Occam's Razor

JUNE 6, 2007

Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. The book contains a cd with six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. [If Bonus: Interactive CD.

Analytics 60

Analytics Metrics Marketing Dashboards 60

O'Reilly on Data

JULY 20, 2021

Few things within a home are restricted–possibly a safe with important documents. This measurement of trust and risk is benefited by understanding who could be in front of the device. If you’re designing a device, you need to require users to opt in to data sharing (especially as regions adapt GDPR and CCPA-like regulation).

Risk 304

Risk Software Interactive Modeling 304

Domino Data Lab

AUGUST 12, 2021

Taking a closer look at the data you will notice that some columns have questions marks ? For this dataset that is the way the data collection denotes missing data. Let’s look at some examples of the data in the dataset: masses.iloc[[20, 456, 512],:]. Severity is made out of integers.

Machine Learning 126

Machine Learning Reporting Statistics Visualization 126

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

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

O'Reilly on Data

OCTOBER 18, 2022

If you’re thinking of a less formal internal assessment, the influential Closing the AI Accountability Gap puts forward a solid framework with worked documentation examples. We also tend to use standards from US nondiscrimination law and the NIST SP1270 guidance to fill in any gaps around bias measurement or specific LLM concerns.

Risk Management 291

Risk Management Risk Testing Measurement 291