CIO Business Intelligence

MARCH 24, 2023

Programs must support proactive and reactive change management activities for reference data values and the structure/use of master data and metadata. Key features include a collaborative business glossary, the ability to visualize data lineage, and generate data quality measurements based on business definitions.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Smart Data Collective

APRIL 14, 2021

Business intelligence tools can include data warehousing, data visualizations, dashboards, and reporting. Business intelligence tools have the ability to visualize and automate queries to save time while reducing errors. This high-end data visualization makes data exploration more accessible to end-users.

Business Intelligence 133

Business Intelligence Dashboards Visualization Big Data 133

Smart Data Collective

MAY 11, 2023

App analytics provide valuable insights that help identify bottlenecks, improve user experience, and optimize marketing campaigns. AR technology allows customers to visualize products in their environment, try on clothes virtually, and experience products in new and exciting ways.

Cost-Benefit 98

Cost-Benefit Optimization Data-driven Marketing 98

Ontotext

MAY 2, 2024

Data-centric approach In the data-centric approach, metadata serves as a layer of interoperability between the data sources. Providing a unified metadata model and a semantic layer is enhanced through discovery, auto-classification, tagging, inferencing, and so on. The best way to drive value is through use cases.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

erwin

OCTOBER 8, 2020

With all these diverse metadata sources, it is difficult to understand the complicated web they form much less get a simple visual flow of data lineage and impact analysis. The metadata-driven suite automatically finds, models, ingests, catalogs and governs cloud data assets. GDPR, CCPA, HIPAA, SOX, PIC DSS).

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

MARCH 7, 2024

At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. Cold storage is optimized to store infrequently accessed or historical data. Organizations often need to manage a high volume of data that is growing at an extraordinary rate.

Data Lake 116

Data Lake Analytics Dashboards Metrics 116

Alation

SEPTEMBER 21, 2021

Compare this story to what we have today: smartphones with traffic navigation apps that provide us with turn-by-turn directions that continuously try to find the optimal path based on traffic conditions on the route being traveled. It is people, process, technology, and data — more importantly, metadata. Data Intelligence Benefits.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

erwin

SEPTEMBER 10, 2020

This information is critical to regulatory compliance, change management and data governance not to mention delivering an optimal customer experience. As I mentioned above, the three Vs of data and the integration of systems makes it difficult to understand the resulting data web much less capture a simple visual of that flow.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

CIO Business Intelligence

NOVEMBER 22, 2022

Initiatives such as automated predictive maintenance on machinery or workforce optimization through operational data are only a few of the many opportunities enabled by the pairing of a successful data strategy with the impactful deployment of artificial intelligence.”

Data Strategy 145

Data Strategy Strategy Enterprise Consulting 145

Cloudera

SEPTEMBER 17, 2020

By enabling their event analysts to monitor and analyze events in real time, as well as directly in their data visualization tool, and also rate and give feedback to the system interactively, they increased their data to insight productivity by a factor of 10. . Our solution: Cloudera Data Visualization.

Experimentation 81

Experimentation Data Warehouse Dashboards Visualization 81

Smart Data Collective

APRIL 5, 2022

Companies working on AI technology can use it to improve scalability and optimize the decision-making process. A data visualization interface known as SPSS Modeler. It allows data scientists to log, store, share, compare and search important metadata that is used to build models for data science applications. Neptune.ai.

Cost-Benefit 123

Cost-Benefit Machine Learning Data Science Unstructured Data 123

Smart Data Collective

JULY 27, 2021

Visualize the problem. Once you have accounted for all the CRM’s data, and metadata type, administrators will then need to take a comprehensive snapshot of the account,” added Mercer. There are several different metadata asset types that can end up being left behind because of configuration settings within CRMs,” added Fitzgerald.

Big Data 132

Big Data Snapshot IT Dashboards 132

IBM Big Data Hub

DECEMBER 16, 2022

It uses metadata and data management tools to organize all data assets within your organization. Meanwhile, the company’s IT teams could optimize their time by focusing on other important workloads. She can search structured or unstructured data, visualizations and dashboards, machine learning models, and database connections.

Metadata 52

Metadata Data Quality Data-driven Data Governance 52

AWS Big Data

JANUARY 8, 2024

With Kinesis Data Streams, customers can continuously capture terabytes of time series data from thousands of sources for cleaning, enrichment, storage, analysis, and visualization. Visualization & Gain insights – Customers can query, visualize, and create alerts using Amazon Managed Service for Grafana.

Analytics 115

Analytics IoT Data-driven Snapshot 115

Octopai

FEBRUARY 8, 2020

Although it was only one of many Mars mission failures in the history of space travel, it was one that easily could have been prevented by achieving the optimal set of equipment and communication to power space travel. . The solution is a comprehensive automated metadata platform. And the bottom line?

Metadata 63

Metadata Key Performance Indicator Unstructured Data Business Intelligence 63

datapine

SEPTEMBER 29, 2022

As quality issues are often highlighted with the use of dashboard software , the change manager plays an important role in the visualization of data quality. It involves: Reviewing data in detail Comparing and contrasting the data to its own metadata Running statistical models Data quality reports. 2 – Data profiling.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

FEBRUARY 14, 2024

Creative AI use cases Create with generative AI Generative AI tools such as ChatGPT, Bard and DeepAI rely on limited memory AI capabilities to predict the next word, phrase or visual element within the content it’s generating. Generative AI can produce high-quality text, images and other content based on the data used for training.

Cost-Benefit 90

Cost-Benefit Insurance Unstructured Data Machine Learning 90

AWS Big Data

APRIL 25, 2024

Additionally, it enables cost optimization by aligning resources with specific use cases, making sure that expenses are well controlled. Otherwise, it will check the metadata database for the value and return that instead. Create an Airflow connection through the metadata database You can also create connections in the UI.

Metadata 106

Metadata Data Processing Management Testing 106

Octopai

OCTOBER 26, 2022

Just-in-Time” manufacturing increases production while optimizing resources. Did your data consumer just tell you about a visualization that she really could use in making an upcoming critical business decision? Because resolving conflicts between data products and processes is not an optimal way to use valuable development time.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

erwin

AUGUST 6, 2020

It allows both IT and business users to discover the data available to them and understand what it means in common, standardized terms, and automates common data curation processes, such as name matching, categorization and association, to optimize governance of the data pipeline including preparation processes.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. internal metadata, industry ontologies, etc.) names, locations, brands, industry codes, etc.)

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

Cloudera

JANUARY 5, 2023

Faced with even more pressure to remain resilient and agile amid looming global economic threats, Asia-Pacific (APAC) region businesses are looking to further mobilize emerging technologies such as artificial intelligence (AI) and machine learning that will optimize operational efficiencies and cost savings. .

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

Cloudera

JANUARY 15, 2021

Some examples of recent optimizations in Impala include: New multithreading model (see dedicated blog post ). Remote read optimizations: IMPALA-8341: Data cache for remote reads. This provides consistent security and metadata architecture as CDW interacts with other services within CDP. Benchmark Description.

Data Warehouse 94

Data Warehouse Cost-Benefit Consulting Interactive 94

Ontotext

APRIL 15, 2020

GraphDB’s Visual Graph can be used to explore the data as demonstrated below. Here, GraphDB is used for storing the ontology models, the vocabulary, the content metadata and the graphs from the PICO ontology. It contains more than 51,000 scholarly articles and is available to the global research community. To Sum It Up.

Publishing 105

Publishing Metadata Data mining Technology 105

DataRobot Blog

SEPTEMBER 1, 2022

After DataRobot AutoML has delivered an optimal model , Continuous AI helps ensure that the currently deployed model will always be the best one even as the world changes around it. This also shows how the models compare on standard performance metrics and informative visualizations like Dual Lift. Manage changing market conditions.

Metrics 145

Metrics Statistics Modeling Data Science 145

AWS Big Data

NOVEMBER 16, 2023

Amazon Redshift delivers on that needed performance through a number of mechanisms such as caching, automated data model optimization, and automated query rewrites. String-optimized compression The Data Vault 2.0 You can use this mechanism to optimize merge operations while still making the data accessible from within Amazon Redshift.

Enterprise 86

Enterprise Data Warehouse Snapshot Cost-Benefit 86

bridgei2i

DECEMBER 15, 2021

This is especially useful in the right product placements over different channels based on user interests and preferences, and different time slots, optimizing the chance of conversions. Role of Metadata in Videos – AI in Ads for OTT. Anticipating Demand through Predictive Modelling on OTT.

Recreation/Entertainment 52

Recreation/Entertainment Metadata Advertising Predictive Modeling 52

erwin

SEPTEMBER 6, 2021

IT teams can also benefit from dashboards and other visualizations that provide a holistic, bird’s eye view of an organization’s data landscape – to understand overall data source composition, sensitive data distribution, and more – as well as drill down to the supporting details required to take action. Within the business. Conclusion.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

AWS Big Data

MARCH 7, 2023

They should also provide optimal performance with low or no tuning. Sources Data can be loaded from multiple sources, such as systems of record, data generated from applications, operational data stores, enterprise-wide reference data and metadata, data from vendors and partners, machine-generated data, social sources, and web sources.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

DataRobot

JUNE 15, 2021

For example, app builders can choose features they want users to input and be displayed in the UI, the scenarios they want end users to explore, and the visual insights that support the decision-making use case. From here, you will see all of the existing AI apps, as well as the relevant metadata associated with them.

Optimization 52

Optimization Predictive Modeling Metadata Modeling 52

AWS Big Data

JUNE 7, 2023

Through their unique position in ports, at sea, and on roads, they optimize global cargo flows and create sustainable customer value. This data needs to be ingested into a data lake, transformed, and made available for analytics, machine learning (ML), and visualization. The target accounts read data from the source account S3 buckets.

Metadata 56

Metadata Data Lake Machine Learning Big Data 56

Alation

JUNE 28, 2022

This is where metadata, or the data about data, comes into play. Your metadata management framework provides the underlying structure that makes your data accessible and manageable. What is a Metadata Management Framework? Your framework should include the following: Global metadata: applies to all information.

Metadata 52

Metadata Management Data Governance Machine Learning 52

Alation

JUNE 2, 2022

While ML solves problems with gradient methods (optimization), classic statistical modeling is mostly mathematical equation solving. Data lineage is the process of recording and visualizing data flowing from data sources to consumption. Recently, Judea Pearl said, “All ML is just curve fitting.” How Data Lineage Is a Use Case in ML.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

Ontotext

SEPTEMBER 7, 2023

And the other thing is another way of displaying it or visualizing it, which is a little more node based or hierarchically based. Some graph databases have visualization elements as a part of that and in others, you put visualization tools in, so it depends. Would you agree with what I just said? Doug : That’s what I see.

Technology 59

Technology Visualization Digital Transformation Management 59

Cloudera

MARCH 14, 2023

Once a draft has been created or opened, developers use the visual Designer to build their data flow logic and validate it using interactive test sessions. Attributes contain key metadata like the source directory of a file or the source topic of a Kafka message.

Testing 82

Testing Publishing Metadata Interactive 82

AWS Big Data

MARCH 13, 2024

This method uses GZIP compression to optimize storage consumption and query performance. The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. 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

AWS Big Data

NOVEMBER 3, 2023

In this post, we explore how to combine AWS Glue usage information and metrics with centralized reporting and visualization using QuickSight. You have metrics available per job run within the AWS Glue console, but they don’t cover all available AWS Glue job metrics, and the visuals aren’t as interactive compared to the QuickSight dashboard.

Metrics 89

Metrics Dashboards Metadata Visualization 89