Cloudera

APRIL 13, 2022

It means your company has automated the processes of collecting, understanding and acting on data across the board, from production to purchasing to product development to understanding customer priorities and preferences. For a human to read 45 million documents and extract the key terms, it would take several lifetimes.

Data Collection 112

Data Collection Machine Learning Strategy Data-driven 112

Smart Data Collective

NOVEMBER 25, 2019

New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. New Avenues of Data Discovery. In the future, companies that come to rely on these new data sources will also need to protect that data — or risk the consequences.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

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

Cloudera

AUGUST 12, 2021

The report classified employees’ reasons for leaving into six broad categories such as growth opportunity and job security, demonstrating the importance of using performance data, data collected from voluntary departures and historical data to reduce attrition for strong performers and enhance employees’ well-being.

Data-driven 109

Data-driven Manufacturing Insurance Risk Management 109

CIO Business Intelligence

JULY 20, 2023

Workflow automation and data analytics are streamlining document management, cross-checking data, assessing for risk, ensuring regulatory compliance, and so on. Since then, automation has filled the gap in improving customer experience and security.

Technology 98

Technology Finance Advertising Digital Transformation 98

CIO Business Intelligence

JULY 3, 2023

However, the AI future for many enterprises lies in building and adapting much smaller models based on their own internal data assets. Rather than relying on APIs provided by firms such as OpenAI and the risks of uploading potentially sensitive data to third-party servers, new approaches are allowing firms to bring smaller LLMs inhouse.

Management 105

Management Experimentation Modeling Enterprise 105

Ontotext

FEBRUARY 12, 2024

This calls for additional planning, documentation, and testing. A data mesh will likely require more engineers to get started, so a critical mass is needed for successful adoption. Each team should be accountable for providing their prepared data sets to downstream systems. For instance, JPMorgan Chase & Co.

Data Quality 69

Data Quality Data-driven Data Lake Data Governance 69

IBM Big Data Hub

FEBRUARY 23, 2024

Second, a comprehensive inventory makes it easier to comply with user requests to share, update, or delete their data. Some of the most important GDPR principles include the following: All processing must have an established legal basis: Data processing is only acceptable if the organization has an approved legal basis for that processing.

Measurement 83

Measurement Risk Data Collection Data Processing 83

Smart Data Collective

JUNE 29, 2022

Document digitization is one of the most time-consuming tasks that finance teams face. In addition to this, often the concept of a fintech application includes fast and automatic recognition for receipts, invoices, and other financial documents to enable accurate spending tracking, KYC/AML processes, reporting, and so on.

Cost-Benefit 87

Cost-Benefit Predictive Analytics Finance Forecasting 87

Smart Data Collective

JUNE 2, 2022

E-procurement is all about automated document management. All you have to do is use cloud solutions to implement online sourcing in your business and see how the automation process reduces plenty of risks associated with the manual procurement process. Meticulous Implementation of Procurement Strategy.

Technology 120

Technology ROI Cost-Benefit Forecasting 120

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis.

Data mining 58

Data mining Machine Learning Deep Learning Marketing 58

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

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

O'Reilly on Data

JULY 28, 2020

This isn’t always simple, since it doesn’t just take into account technical risk; it also has to account for social risk and reputational damage. A product needs to balance the investment of resources against the risks of moving forward without a full understanding of the data landscape. Conclusion.

Marketing 362

Marketing Experimentation Metrics Testing 362

CIO Business Intelligence

FEBRUARY 13, 2023

Measure performance of the current process by establishing a data collection plan to determine defects and gather metrics. It’s important to consider performance, cost, implementation demands, and risks or disruptions that may arise. Control the new process to avoid falling into old habits and to ensure it stays on track.

Management 97

Management Statistics Manufacturing Measurement 97

CDW Research Hub

NOVEMBER 6, 2020

Every year companies invest resources on data collection, and employees spend countless hours mulling over that data to make informed business decisions like how to market to their target audience or where to expand the business. Will just any data protection solution get the job done? Know your security risks.

Scorecard 40

Scorecard Risk Business Driver Strategy 40

FineReport

JUNE 7, 2023

Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Timely Risk Identification and Mitigation: Project management dashboards facilitate the identification and management of project risks.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

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

datapine

JANUARY 6, 2022

Secondary Research: much like how patterns of behavior can be observed, different types of documentation resources can be coded and divided based on the type of material they contain. Interviews: one of the best collection methods for narrative data. Inquiry responses can be grouped by theme, topic, or category. Dependable.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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. If you want to use analytics as part of this review, you need data governance. Mission Lane Enables Collaboration.

Data Governance 52

Data Governance Data Strategy Strategy Risk 52

Jet Global

SEPTEMBER 1, 2020

It’s an intensely manual process, working with large volumes of data, and as such tends to happen once a year, at the end of the year. With such infrequent monitoring, organizations run the risk of late material adjustments to their accounts, which infuriates internal stakeholders and is a red flag to the company’s auditors.

Cost-Benefit 69

Cost-Benefit Manufacturing Risk Marketing 69

IBM Big Data Hub

MAY 26, 2023

With the growth in usage of digital technology and cloud in the life sciences industry, digital information is more readily available and at a greater risk for exploitation. Amazon Textract can be leveraged to extract printed text, handwriting and data from any document or image and then passed into Amazon Comprehend Medical for redaction.

Consulting 80

Consulting Cost-Benefit Optimization Machine Learning 80

Smart Data Collective

DECEMBER 11, 2019

However, software systems that are isolated from one another may risk impending challenges that could ultimately affect business growth. Big data has made it easier to use business integrated systems to handle these processes. These new systems make data collection far more efficient. Reduce the Risk of Errors.

Big Data 70

Big Data Cost-Benefit Software Risk 70

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

Alation

FEBRUARY 13, 2020

Benefits of a Data Catalog. What Does a Data Catalog Do? A modern data catalog includes many features and functions that all depend on the core capability of cataloging data—collecting the metadata that identifies and describes the inventory of shareable data. Benefits of a Data Catalog. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

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

The Unofficial Google Data Science Blog

OCTOBER 31, 2016

To answer those questions, I put together a document shared Google-wide which I optimistically and simply titled “Good Data Analysis.” To my surprise, this document has been read more than anything else I’ve done at Google over the last eleven years. Why has this document resonated with so many people over time?

Metrics 107

Metrics Measurement Statistics Data Collection 107

Ontotext

APRIL 4, 2019

Within a large enterprise, there is a huge amount of data accumulated over the years – many decisions have been made and different methods have been tested. We translate their documents, presentations, tables, etc. But still, is there a risk that AI could replace people at their workplace? What exactly do you do for them?

Recreation/Entertainment 76

Recreation/Entertainment Testing Enterprise Knowledge Discovery 76

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 106

Modeling Risk Unstructured Data Enterprise 106

Darkhorse

MARCH 31, 2015

Document every rule of thumb. We’ll do so by eliminating those with high risk in data inputs, research, and implementation. Step 2: Evaluate the Data Using these “decision problems” as a guide, take an inventory of all the data resources that could be used to support or solve them. That’s a good thing.

Uncertainty 45

Uncertainty Data-driven Consulting Metrics 45

CIO Business Intelligence

JULY 17, 2023

And there was another innovation waiting for the ZEISS Group: an intelligent manufacturing solution with digital documentation capability from SAP. Imagine production steps, test results, and assembly component records documented with lots and lots of paper. Both were managed through a paper-based process. Reams of it, in fact.

Manufacturing 98

Manufacturing Snapshot Uncertainty Digital Transformation 98

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

CIO Business Intelligence

JANUARY 30, 2024

“Always the gatekeepers of much of the data necessary for ESG reporting, CIOs are finding that companies are even more dependent on them,” says Nancy Mentesana, ESG executive director at Labrador US, a global communications firm focused on corporate disclosure documents. Most companies find themselves in a similar situation.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

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 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

FEBRUARY 8, 2023

There is a growing need to proactively drive responsible, fair, and ethical decisions, designed to: Manage risk and reputation No organization wants to be in the news for the wrong reasons, and recently there have been a lot of stories in the press regarding issues of unfair, unexplainable, or biased AI.

Risk Management 52

Risk Management Risk Modeling Metadata 52