datapine

NOVEMBER 27, 2019

Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story. 2020 will be the year of data quality management and data discovery: clean and secure data combined with a simple and powerful presentation. 1) Data Quality Management (DQM).

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

AWS Big Data

OCTOBER 10, 2023

Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake. Data confidentiality and data quality are the two essential themes for data governance.

Data Quality 110

Data Quality Data Governance Data Lake Testing 110

AWS Big Data

JUNE 6, 2023

Data consumers lose trust in data if it isn’t accurate and recent, making data quality essential for undertaking optimal and correct decisions. Evaluation of the accuracy and freshness of data is a common task for engineers. Currently, various tools are available to evaluate data quality.

Data Quality 98

Data Quality Data-driven Data Lake Metrics 98

Timo Elliott

NOVEMBER 7, 2024

In the digital era, data is the backbone of innovation and transformation. At IKEA, the global home furnishings leader, data is more than an operational necessity—it’s a strategic asset. The Strategy: A Greenfield Approach IKEA adopted a greenfield strategy with SAP, rethinking its processes, technology, and data from the ground up.

Data Transformation 84

Data Transformation Data Quality Digital Transformation Strategy 84

AWS Big Data

NOVEMBER 22, 2024

Event-driven data transformations – In scenarios where organizations need to process data in near real time, such as for streaming event logs or Internet of Things (IoT) data, you can integrate the adapter into an event-driven architecture.

Data Lake 103

Data Lake Data Warehouse Cost-Benefit Data Transformation 103

Rocket-Powered Data Science

FEBRUARY 15, 2023

Do not covet thy data’s correlations: a random six-sigma event is one-in-a-million. So, if you have 1 trillion data points (g., a Terabyte), then there may be one million such “random events” that will tempt any decision-maker into ascribing too much significance to this natural randomness.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

O'Reilly on Data

MARCH 24, 2020

You may picture data scientists building machine learning models all day, but the common trope that they spend 80% of their time on data preparation is closer to the truth. This definition of low-quality data defines quality as a function of how much work is required to get the data into an analysis-ready form.

Machine Learning 364

Machine Learning Statistics Data Quality Data Collection 364

AWS Big Data

DECEMBER 4, 2024

Domain ownership recognizes that the teams generating the data have the deepest understanding of it and are therefore best suited to manage, govern, and share it effectively. This principle makes sure data accountability remains close to the source, fostering higher data quality and relevance.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

AWS Big Data

DECEMBER 4, 2024

It’s the preferred choice when customers need more control and customization over the data integration process or require complex transformations. This flexibility makes Glue ETL suitable for scenarios where data must be transformed or enriched before analysis. Check CloudWatch log events for the SEED Load.

Data Integration 113

Data Integration Data Lake Statistics Data-driven 113

IBM Big Data Hub

JANUARY 8, 2024

In modern enterprises, where operations leave a massive digital footprint, business events allow companies to become more adaptable and able to recognize and respond to opportunities or threats as they occur. Teams want more visibility and access to events so they can reuse and innovate on the work of others.

Data-driven 73

Data-driven Advertising Management Enterprise 73

CIO Business Intelligence

NOVEMBER 5, 2024

The key is good data quality. International Data Corporation (IDC) is the premier global provider of market intelligence, advisory services, and events for the technology markets. IDC is a wholly owned subsidiary of International Data Group (IDG Inc.), have their own additional regulations.

Uncertainty 98

Uncertainty Measurement ROI Reporting 98

O'Reilly on Data

DECEMBER 19, 2018

Anomaly detection is well-known in the financial industry, where it’s frequently used to detect fraudulent transactions, but it can also be used to catch and fix data quality issues automatically. We are starting to see some tools that automate data quality issues. We also see investment in new kinds of tools.

Machine Learning 279

Machine Learning Software Metadata Testing 279

Rocket-Powered Data Science

MARCH 20, 2023

Datasphere is an enhanced data warehousing service that includes business semantics (through both analytic and relational models) and a knowledge graph (linking business content with business context). These partners are: Collibra – providing data governance and discovery (metadata, catalogs) across the entire data landscape.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Machine Learning 325

Timo Elliott

NOVEMBER 13, 2023

Data is like children, it’s constantly on the move, and loves to get dirty — but holds out the promise of huge new value in the organization, thanks to Generative AI. I just listened to industry veteran analysts Jon Reed and Josh Greenbaum discuss the recent ASUG Tech Connect Event in Orlando.

Data Quality 114

Data Quality ROI IT Analytics 114

DataKitchen

SEPTEMBER 21, 2023

These layers help teams delineate different stages of data processing, storage, and access, offering a structured approach to data management. In the context of Data in Place, validating data quality automatically with Business Domain Tests is imperative for ensuring the trustworthiness of your data assets.

Testing 169

Testing Data Quality Predictive Modeling Metrics 169

CIO Business Intelligence

MAY 28, 2022

Amplitude CDP has been made available to Amplitude customers in an early access program this week and will be generally available later this year, the company said, adding that the platform will be free of charge for customers streaming fewer than 10 million events per month. CDP accelerates time to data insights.

Advertising 126

Advertising Forecasting Data Quality Marketing 126

DataKitchen

OCTOBER 20, 2023

Deploying a Data Journey Instance unique to each customer’s payload is vital to fill this gap. Such an instance answers the critical question of ‘Dude, Where is my data?’ ’ while maintaining operational efficiency and ensuring data quality—thus preserving customer satisfaction and the team’s credibility.

Insurance 169

Insurance Metadata Data-driven Data Quality 169

Anmut

JULY 12, 2021

Facts, events, statements, and statistics without proper context have little value and only lead to questions and confusion.?This This is true for life in general, but it’s especially applicable to the data you use to power your business. Data quality vs data condition: basic definitions & differences.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

CIO Business Intelligence

FEBRUARY 21, 2025

According to White, this data-driven approach has resulted in measurable improvements for the business. For example, staff have reduced footage review time by over 90%, with automated event tagging replacing manual searches.

Data-driven 116

Data-driven Measurement Reporting Technology 116

CIO Business Intelligence

DECEMBER 11, 2024

Unlike the technology-focused Data Platform pillar, Data Engineering concentrates on building distributed parallel data pipelines with embedded business rules. The most challenging aspect is setting the thresholds for data quality issue alerts, as real-world data is too dynamic for static thresholds to be effective.

Management 111

Management Data Governance Data Science Reporting 111

erwin

APRIL 29, 2020

Without data lineage, these functions are irrelevant, so it makes sense for a business to have a clear understanding of where data comes from, who uses it, and how it transforms. Seeing data pipelines and information flows further supports compliance efforts. Data Quality.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

AWS Big Data

DECEMBER 4, 2024

These formats, exemplified by Apache Iceberg, Apache Hudi, and Delta Lake, addresses persistent challenges in traditional data lake structures by offering an advanced combination of flexibility, performance, and governance capabilities. Tags help address this by allowing you to point to specific snapshots with arbitrary names.

Snapshot 84

Snapshot Metadata Data Lake Optimization 84

AWS Big Data

APRIL 8, 2025

Concurrent UPDATE/DELETE on overlapping partitions When multiple processes attempt to modify the same partition simultaneously, data conflicts can arise. For example, imagine a data quality process updating customer records with corrected addresses while another process is deleting outdated customer records.

Snapshot 137

Snapshot Management Metadata Big Data 137

IBM Big Data Hub

NOVEMBER 21, 2023

Apache Kafka is a well-known open-source event store and stream processing platform and has grown to become the de facto standard for data streaming. A schema registry is essentially an agreement of the structure of your data within your Kafka environment. Provision an instance of Event Streams on IBM Cloud here.

Data Quality 96

Data Quality Metadata Data-driven Optimization 96

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. So, the only way for a data journey to truly observe what’s happening is to get his tools and pipelines to auto-report events. Data and tool tests.

Testing 130

Testing Statistics Measurement Dashboards 130

CIO Business Intelligence

MAY 26, 2022

Amplitude CDP has been made available to Amplitude customers in an early access program this week and will be generally available later this year, the company said, adding that the platform will be free of charge for customers streaming fewer than 10 million events per month. CDP accelerates time to data insights.

Advertising 104

Advertising Forecasting Data Quality Marketing 104

CIO Business Intelligence

NOVEMBER 14, 2024

This way, the IT initiative has business objectives and indicators, allowing you to monitor target achievement and activate action plans in the event these targets aren’t achieved.”

ROI 119

ROI B2B Business Objectives Digital Transformation 119

David Menninger's Analyst Perspectives

NOVEMBER 5, 2024

For example, many tasks in the accounting close follow iterative paths involving multiple participants, as do supply chain management events where a delivery delay can set up a complex choreography of collaborative decision-making to deal with the delay, preferably in a relatively optimal fashion.

Optimization 130

Optimization Machine Learning Software Interactive 130

erwin

DECEMBER 9, 2024

Data observability provides the ability to immediately recognize, and be alerted to, the emergence of hallucinations and accept or reject these changes iteratively, thereby training and validating the data. Maybe your AI model monitors sales data, and the data is spiking for one region of the country due to a world event.

Metadata 52

Metadata Data Quality Sales Modeling 52

CIO Business Intelligence

JULY 18, 2022

The true value of a strong data supply chain is improved data quality, but leaders might miss the need to communicate that broadly across the organization. For many firms, the increased value of data resulted in the creation of a new Chief Data Officer (CDO) role. The cause may be rooted in psychology. .

Data Quality 105

Data Quality Metrics Measurement Cost-Benefit 105

AWS Big Data

JANUARY 15, 2025

cycle_end";') con.close() With this, as the data lands in the curated data lake (Amazon S3 in parquet format) in the producer account, the data science and AI teams gain instant access to the source data eliminating traditional delays in the data availability.

IoT 110

IoT Machine Learning Metadata Data-driven 110

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. Informatica Axon Informatica Axon is a collection hub and data marketplace for supporting programs.

Data Governance 142

Data Governance Management Metadata Data Quality 142

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 110

Data Architecture Optimization Data Warehouse Metadata 110

Smart Data Collective

OCTOBER 13, 2021

Data Virtualization can include web process automation tools and semantic tools that help easily and reliably extract information from the web, and combine it with corporate information, to produce immediate results. How does Data Virtualization manage data quality requirements? In forecasting future events.

Visualization 145

Visualization Cost-Benefit Big Data Prescriptive Analytics 145

AWS Big Data

MARCH 7, 2023

It covers how to use a conceptual, logical architecture for some of the most popular gaming industry use cases like event analysis, in-game purchase recommendations, measuring player satisfaction, telemetry data analysis, and more. Unlike ingestion processes, data can be transformed as per business rules before loading.

Analytics 97

Analytics Data Warehouse Data Lake Metadata 97

Cloudera

JULY 15, 2021

Some of the key points raised during this session included: Pandemic Resiliency and Opportunities to Improve. Low Probability, High Impact Events Readiness. AI and ML’s current State of Play. Capacity planning requires greater attention, specifically for anomaly events. Low Probability, High Impact Events Readiness.

Risk 100

Risk Optimization Management Insurance 100