FineReport

FEBRUARY 25, 2020

Data collection is nothing new, but the introduction of mobile devices has made it more interesting and efficient. But now, mobile data collection means information can be digitally recording on the mobile device at the source of its origin, eliminating the need for data entry after the information is collected.

Data Collection 59

Data Collection IT Dashboards Reporting 59

CIO Business Intelligence

OCTOBER 2, 2024

It’s essential to regularly audit your AI systems to detect and mitigate biases in data collection, algorithm design and decision-making processes. This can involve using diverse data sources, conducting regular bias audits and maintaining human oversight to ensure fairness at every stage.

Gap analysis 119

Gap analysis Risk Manufacturing Data Governance 119

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

Smart Data Collective

MAY 25, 2023

Responsible data practices go beyond privacy and extend to the overall handling, processing, and sharing of information. Organizations must ensure that data is collected and used for legitimate purposes and that appropriate security measures are in place to protect it from unauthorized access or breaches.

Data Collection 86

Data Collection Measurement Data-driven Risk 86

Timo Elliott

NOVEMBER 14, 2024

Restrictions on CO2-Neutral Claims: Products can no longer be advertised as “climate-neutral” based solely on compensation measures like carbon offsets. To avoid falling afoul of these regulations, organizations must: Invest in Data and Expertise: Accurate ESG reporting requires robust data collection and sustainability expertise.

Advertising 59

Advertising Measurement Cost-Benefit Metrics 59

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 ). Any metric can and will be abused.

Marketing 363

Marketing Experimentation Metrics Testing 363

IBM Big Data Hub

MAY 28, 2024

While every data protection strategy is unique, below are several key components and best practices to consider when building one for your organization. What is a data protection strategy? Its principles are the same as those of data protection—to protect data and support data availability.

Strategy 81

Strategy Measurement Risk Cost-Benefit 81

Smart Data Collective

OCTOBER 31, 2022

As the Internet of Things becomes increasingly instrumental in the workplace, company and consumer data risk grow. It’s no secret that hackers have discovered and implemented complex methods to access crucial data from businesses of all sizes across all industries, including the federal government. Is Your Business Compliant?

Internet of Things 119

Internet of Things IoT Risk Measurement 119

Smart Data Collective

OCTOBER 8, 2023

Methodologies in Deploying Data Analytics The application of data analytics in fast food legal cases requires a thorough understanding of the methodologies involved. This involves data collection , data cleaning, data analysis, and data interpretation.

Data Analytics 98

Data Analytics Analytics Statistics Data Collection 98

Jet Global

JUNE 27, 2024

Its pre-configured, expandable data model streamlines compliance while supporting various reporting frameworks. Key features include: Effortless Data Collection & Consolidation: Pre-configured, future-proof data model simplifies gathering of all data types (narrative, numeric, and calculated) for CSRD compliance.

Reporting 64

Reporting Management Data Collection Metrics 64

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. Organizations may need to update consent forms to meet these requirements.

Measurement 74

Measurement Risk Data Collection Data Processing 74

Cloudera

APRIL 20, 2022

One of our insurer customers in Africa collected and analyzed data on our platform to quickly focus on their members that were at a higher risk of serious illness from a COVID infection. These segments were based on risk profiles, and the insurer implemented tailored plans to support each segment.

Insurance 99

Insurance Measurement Data Lake Risk 99

Smart Data Collective

NOVEMBER 1, 2023

This system enables you to automate employee hours recording and tracking, preventing manual timesheet use and reducing the risk of inaccuracies. Study employee performance metrics Performance metrics are a measure of how well team members are doing at their work. Employee time tracking software facilitates better time management.

Metrics 92

Metrics Measurement Data-driven Optimization 92

IBM Big Data Hub

JANUARY 22, 2024

The practical steps an organization takes to meet these requirements will depend on its location, resources and data processing activities, among other factors. The GDPR defines the circumstances under which companies can legally process personal data. Organizations with more than 250 employees must keep records of data processing.

Measurement 79

Measurement Risk Data Processing Data Collection 79

CIO Business Intelligence

SEPTEMBER 18, 2024

CIOs, as well as CTOs, should advocate for measuring how humane their AI-powered services are because, typically, we’re more prone to improving what we decided to measure, Jain adds. This means implementing stringent data protection measures and being transparent about data usage.”

Interactive 125

Interactive Cost-Benefit Measurement Testing 125

CIO Business Intelligence

OCTOBER 2, 2024

With different people filtering and augmenting data, you need to trace who makes which changes and why, and you need to know which version of the data set was used to train a given model. And with all the data an enterprise has to manage, it’s essential to automate the processes of data collection, filtering, and categorization.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

Smart Data Collective

OCTOBER 17, 2022

Sometimes, developers could make mistakes when creating IoT hardware and software, which could put the organization at risk of cybersecurity threats. Organizations integrating IoT in their daily operations have access to various resources that can help them improve their customer reach by gathering more personal data.

IoT 123

IoT Risk Internet of Things Software 123

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. Wealth managers can monetize their data by selling analytics and insights to their clients, such as customized investment recommendations based on an individual’s financial goals and risk profile.

Data-driven 69

Data-driven Data Architecture Measurement Risk 69

Smart Data Collective

SEPTEMBER 28, 2022

Today, data has become more critical than it has ever been in the past. We have talked about the importance of investing in good data collection methodologies. There are a growing number of risks with big data. Some of them stem from security issues if data is compromised.

Big Data 127

Big Data Software Risk Data Collection 127

Smart Data Collective

AUGUST 29, 2020

Remote monitoring includes a wide range of functions, from offsite data collection to key tracking tools and even video-based monitoring, and though some of these tools are invasive, others can help boost productivity. The second key problem with surveillance-based productivity data is that it doesn’t measure the right things.

Measurement 129

Measurement Data-driven Metrics Data Collection 129

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

IBM Big Data Hub

MARCH 26, 2024

While ESG seeks to provide standard methods and approaches to measuring across environmental, social and governance KPIs, and holds organizations accountable for that performance, sustainability is far broader. How is sustainability managed—as an annual measuring exercise or an ongoing effort that supports business transformation?

Measurement 60

Measurement Metrics Strategy Reporting 60

IBM Big Data Hub

NOVEMBER 14, 2023

A value exchange system built on data products can drive business growth for your organization and gain competitive advantage. This growth could be internal cost effectiveness, stronger risk compliance, increasing the economic value of a partner ecosystem, or through new revenue streams.

Strategy 103

Strategy Cost-Benefit Data-driven Measurement 103

DataKitchen

MARCH 16, 2023

How to measure your data analytics team? So it’s Monday, and you lead a data analytics team of perhaps 30 people. Like most leaders of data analytic teams, you have been doing very little to quantify your team’s success. The Active Data Ratio metric determines the percentage of datasets that deliver value.

Metrics 130

Metrics Data Analytics Analytics Measurement 130

Cloudera

FEBRUARY 23, 2023

The healthcare industry, in partnership with government agencies, must engage with a robust modern data management solution that can extract electronic health data in the form of controlled substance data, prescriber data, and patient data and transform it into meaningful, measurable, and actionable information.

Data Analytics 75

Data Analytics Analytics Data Processing Risk 75

datapine

MAY 2, 2023

The big data market is expected to exceed $68 billion in value by 2025 , a testament to its growing value and necessity across industries. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

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 Advertising Finance Digital Transformation 98

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

BizAcuity

JULY 7, 2020

With limited seating and slot machine on the floor, casinos are ensuring that the risk of the spread of the virus is contained. A crucial part of business recovery is to show and reassure people that all the precautionary measures are being taken to ensure safety. Earlier, marketing campaigns were highly dependent on data.

Revenue Optimization 98

Revenue Optimization Measurement Interactive Marketing 98

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 101

Modeling Risk Unstructured Data Enterprise 101

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. Through the analysis of collected data, potential opportunities for improvement are uncovered. The pain point tracker clusters the foundational data in which value metrics are then applied.

Data-driven 85

Data-driven IT Measurement Cost-Benefit 85

IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

Reporting 88

Reporting Internet of Things Cost-Benefit Data-driven 88

Smart Data Collective

JULY 27, 2020

The massive advancement in technology is increasing the rate of real time monitoring, data collection, and data measurement. The changes in technology enable the massive integration of data into smart home technology and the existing environment site. Conclusion.

Technology 109

Technology Measurement Manufacturing Risk 109

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 97

Advertising Recreation/Entertainment Experimentation Enterprise 97

Smart Data Collective

NOVEMBER 16, 2021

With over 2,000 cyberattacks every day, companies of all sizes are at risk. Corporate cyberdefenses produce massive amounts of data through logs and reports. Once they grow to thousands of records in size, the technology could establish itself as the best way to interpret and arrange data in the future. Public Relations.

Analytics 121

Analytics Unstructured Data Data Collection Software 121