Smart Data Collective

APRIL 14, 2021

If you occasionally run business stands in fairs, congresses and exhibitions, business stands designers can incorporate business intelligence to aid in better business and client data collection. Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting.

Business Intelligence 132

Business Intelligence Dashboards Visualization Big Data 132

Octopai

OCTOBER 3, 2019

Whether organically, by merger or acquisition , or even by both, new data assets are being acquired or created, and all of them are growing by ever-greedier data collection methods. It can also help them identify gaps—data that is needed for the task at hand but not available anywhere in the enterprise.

Enterprise 41

Enterprise Metadata Data Warehouse Consulting 41

CIO Business Intelligence

MARCH 21, 2022

Data scientists often work with data analysts , but their roles differ considerably. Thus, the difference between the work of data analysts and that of data scientists often comes down to timescale. The data that data scientists analyze draws from many sources, including structured, unstructured, or semi-structured data.

Unstructured Data 137

Unstructured Data Data Analytics Analytics Structured Data 137

CIO Business Intelligence

APRIL 28, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorised access. Data sovereignty is the right to control citizens’ data collection, ownership, and application.

Metadata 52

Metadata Data Collection Management Strategy 52

CIO Business Intelligence

JANUARY 30, 2024

Corporate ESG reporting is getting real for companies around the globe. Enacted and proposed regulations in the EU, US, and beyond are deepening reporting requirements in an effort to change business behavior. The foundation for ESG reporting, of course, is data. The foundation for ESG reporting, of course, is data.

Reporting 115

Reporting Data Quality Strategy Data-driven 115

bridgei2i

MARCH 11, 2021

They have access to large amounts of data. But, the data comes from distinct sources and systems. For instance, a small business owner who does all accounting work on Excel and uses another system to send reports will have two distinct data sources to focus on. in the system. All diagnostics, alerts, etc.,

Key Performance Indicator 52

Key Performance Indicator Data Governance Data Lake Metadata 52

Cloudera

FEBRUARY 16, 2022

We can think of model lineage as the specific combination of data and transformations on that data that create a model. This maps to the data collection, data engineering, model tuning and model training stages of the data science lifecycle. So, we have workspaces, projects and sessions in that order.

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

CIO Business Intelligence

MARCH 23, 2023

New rules around data sovereignty are designed to keep data out of the hands of other countries, bad actors, and those without authorized access. Data sovereignty is the right to control citizens’ data collection, ownership, and application. CLOUD Act, which could result in the U.S. based company.

Metadata 52

Metadata Data Governance Data Collection Strategy 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.

Analytics 97

Analytics IoT Metadata Internet of Things 97

Alation

JANUARY 26, 2023

It’s equally important that they know the reporting structure. Offer the right tools Data stewardship is greatly simplified when the right tools are on hand. So ask yourself, does your steward have the software to spot issues with data quality, for example? Do they have a system to manage the metadata for given assets?

Data Governance 52

Data Governance Strategy Data Quality Marketing 52

CIO Business Intelligence

MARCH 29, 2022

A common data habit that results in missed opportunity is assuming data has no further value once it’s been used for the particular purpose. Data is ingested, processed, transformed (perhaps for a specific report or to be stored in a traditional database), and then the raw or partially processed data is discarded.

Cost-Benefit 52

Cost-Benefit Machine Learning Metadata Data Quality 52

O'Reilly on Data

JULY 28, 2020

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Consider how time impacts your data assets, as well as seasonal effects and other biases.

Marketing 362

Marketing Experimentation Metrics Testing 362

IBM Big Data Hub

FEBRUARY 14, 2024

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. These systems can evaluate vast amounts of data to uncover trends and patterns, and to make decisions.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

erwin

DECEMBER 20, 2018

The Top 6 Benefits of Data Governance. www.erwin.com/blog/top-6-benefits-of-data-governance/. GDPR went into effect for businesses trading with the European Union, including hefty fines for noncompliance with its data collection, storage and usage standards.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

Alation

APRIL 25, 2023

More specifically, it describes the process of creating, administering, and adapting a comprehensive plan for how an organization’s data will be managed. In this way, data governance has implications for a wide range of data management disciplines, including data architecture, quality, security, metadata, and more.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Peter James Thomas

AUGUST 29, 2018

I know that ING consists of many operating areas and has adopted a federated structure with respect to data matters. Additionally I have a direct set of reports who drive the standard solutions around tooling, governance, quality, data protection , Data Ethics , Metadata and data glossary and models.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges.

Data Strategy 70

Data Strategy Strategy Data Warehouse Prescriptive Analytics 70

Alation

JULY 7, 2022

In 2013 I joined American Family Insurance as a metadata analyst. I had always been fascinated by how people find, organize, and access information, so a metadata management role after school was a natural choice. The use cases for metadata are boundless, offering opportunities for innovation in every sector.

Metadata 52

Metadata Data-driven Insurance Statistics 52

Ontotext

MAY 5, 2023

It is reused in modeling the publication of entity data or regulatory-mandated data exchange, as seen in the example provided below. We think their adoption will bring benefits well beyond reporting. Integrating reporting to move to a more streamlined, efficient approach to data collection.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

AWS Big Data

NOVEMBER 15, 2023

It seamlessly consolidates data from various data sources within AWS, including AWS Cost Explorer (and forecasting with Cost Explorer ), AWS Trusted Advisor , and AWS Compute Optimizer. Data providers and consumers are the two fundamental users of a CDH dataset.

Dashboards 97

Dashboards Analytics Metadata Data Warehouse 97

Octopai

AUGUST 26, 2021

The entry features the data asset description (i.e. the stalk of barley symbol and the circular numeral signs) and the data owner (i.e. This data catalog didn’t need automation. It was perfectly reasonable for an individual to manually manage a Sumerian data collection (especially if you paid him enough barley).

Metadata 52

Metadata Cost-Benefit Data Collection Reporting 52

Cloudera

FEBRUARY 8, 2021

To accomplish this, ECC is leveraging the Cloudera Data Platform (CDP) to predict events and to have a top-down view of the car’s manufacturing process within its factories located across the globe. . Having completed the Data Collection step in the previous blog, ECC’s next step in the data lifecycle is Data Enrichment.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

FineReport

FEBRUARY 5, 2020

Metadata management. Users can centrally manage metadata, including searching, extracting, processing, storing, sharing metadata, and publishing metadata externally. The metadata here is focused on the dimensions, indicators, hierarchies, measures and other data required for business analysis.

Metadata 98

Metadata Dashboards Informatics Visualization 98

erwin

APRIL 18, 2019

Information sold to or by consumer reporting agencies. Under the GDPR, organizations must make any personal data collected from an EU citizen available upon request. CCPA compliance only requires data collected within the last 12 months to be shared upon request. What about access requests? .

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

erwin

MARCH 4, 2021

And when you talk about that question at a high level, he says, you get a very “simple answer,”– which is ‘the only thing we want to have is the right data with the right quality to the right person at the right time at the right cost.’. The Why: Data Governance Drivers. Why should companies care about data governance?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Cloudera

DECEMBER 16, 2022

Cloudera has been recognized in this cloud DBMS report since its inception in 2020. Many of our customers use multiple solutions—but want to consolidate data security, governance, lineage, and metadata management, so that they don’t have to work with multiple vendors. 4-Ready for modern data fabric architectures.

Management 88

Management Metadata Machine Learning Data Lake 88

AWS Big Data

FEBRUARY 21, 2023

The data vault approach solves most of the problems associated with dimensional models, but it brings other challenges in clinical quality control applications and regulatory reports. This is one of the biggest hurdles with the data vault approach. It optimizes the database for faster data retrieval.

Data Warehouse 65

Data Warehouse Data Lake Cost-Benefit Modeling 65

IBM Big Data Hub

FEBRUARY 8, 2023

The IBM AI Governance solution automates across the AI lifecycle from data collection, model building, deploying and monitoring. This comprehensive solution comes without the excessive costs of switching from your current data science platform. identify, manage, monitory and report on risk and compliance at scale.

Risk Management 52

Risk Management Risk Modeling Metadata 52

CIO Business Intelligence

SEPTEMBER 22, 2023

Data management platform definition A data management platform (DMP) is a suite of tools that helps organizations to collect and manage data from a wide array of first-, second-, and third-party sources and to create reports and build customer profiles as part of targeted personalization campaigns.

Management 105

Management Advertising Data Lake Sales 105

Cloudera

JANUARY 21, 2021

Does your organization’s success depend on immediate delivery of new reports, applications, or projects? The Data Lake is persisted to your Cloud storage of choice, so even if the Data Lake is shut down, your history, audit trails, lineage and security access models remain. Do you need faster time to value?

Data Lake 93

Data Lake Data Warehouse IT Analytics 93

Domino Data Lab

JULY 22, 2019

If you look into the middle bucket, they have three things that they report in common. One is data quality, cleaning up data, the lack of labelled data. Now, working down to the mature part of this, they report two things in common. What do they report in common? You know what? and that gap is widening.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JANUARY 21, 2021

Having used pandas profiling for a series of my own projects, I’m pleased to say thisi package has been designed for ease of use and flexibility from the ground up: It has minimal prerequisites for use: Python 3, Pandas, and a web browser is all one needs to access the HTML-based reports. Last but not least: it is customizable.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

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. To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. Online, offline or nonline.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Alation

OCTOBER 12, 2022

What Are Quantitative Data Collection Methods? When collecting quantitative data, it’s important to collect as many data points as possible to ensure that your mathematical analysis gives you a meaningful answer. Trend analyses review data collected over time to help predict the future.

Statistics 52

Statistics Sales Testing Marketing 52

CIO Business Intelligence

JUNE 9, 2022

A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data.

Management 144

Management Advertising Data Lake Sales 144

erwin

APRIL 21, 2020

Another foundational purpose of a data catalog is to streamline, organize and process the thousands, if not millions, of an organization’s data assets to help consumers/users search for specific datasets and understand metadata , ownership, data lineage and usage. Make Data Accessible & Usable.

Measurement 97

Measurement Sales Data Governance Metadata 97