AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

erwin

OCTOBER 29, 2020

Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is powered by data.

Data Governance 105

Data Governance Metadata ROI Digital Transformation 105

erwin

OCTOBER 8, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (APIs), file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

MAY 1, 2024

To transform Fujitsu from an IT company to a digital transformation (DX) company, and to become a world-leading DX partner, Fujitsu has declared a shift to data-driven management. Provide and keep up to date with technical metadata for loaded data. Perform the cleansing process and format conversion of raw data as needed.

Dashboards 115

Dashboards Data-driven Publishing Cost-Benefit 115

AWS Big Data

OCTOBER 11, 2023

Using machine learning (ML) and data visualization tools, these datasets can be transformed into actionable insights that can inform decision-making. The architecture approach is split into a data intake layer, a data analysis layer, and a data visualization layer. The tables are written to a database, which acts as a container.

Visualization 101

Visualization Dashboards Data-driven Gap analysis 101

erwin

SEPTEMBER 10, 2020

Yet given this era of digital transformation and fierce competition, understanding what data you have, where it came from, how it’s changed since creation or acquisition, and whether it poses any risks is paramount to optimizing its value. What are the transformation rules? Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

AWS Big Data

NOVEMBER 15, 2023

Additionally, it incorporates BMW Group’s internal system to integrate essential metadata, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications. Once released, consumers use datasets from different providers for analysis, machine learning (ML) workloads, and visualization.

Dashboards 99

Dashboards Analytics Metadata Data Warehouse 99

Jen Stirrup

MARCH 29, 2023

The new SAP Datasphere catalog provides data lineage, metadata information, and quick searching capabilities across your SAP landscape. The semantic layer is an abstraction layer between the raw data stored in databases and the end-users or business analysts who need to access, analyze, and visualize that data.

Metadata 121

Metadata Data Warehouse Data Integration Business Intelligence 121

erwin

AUGUST 6, 2020

With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis. So, what is data literacy?

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Ontotext

MAY 16, 2024

Win them over with visualization. Hence it is advisable for enterprises to leverage semantic metadata as the core for facilitating data connections. To Wrap It Up The Graph CoE is an important step in transforming your lighthouse project or silo deployment into a true enterprise platform. Invest in the user interface.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

erwin

JANUARY 3, 2020

In the year ahead, companies with the ability to harness, secure and leverage information effectively will be better equipped than others to promote digital transformation and gain a competitive advantage. Constructing a Digital Transformation Strategy. To that end, data is finally no longer just an IT issue.

Data Governance 52

Data Governance Digital Transformation IoT Metadata 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. I’ve been given a mandate for digital transformation.

Technology 59

Technology Visualization Digital Transformation Management 59

Ontotext

JUNE 3, 2020

Knowledge graph technology can walk us out of the lack of context (which is basically absence of proper interlinking) and towards enriching digital representation of collection with semantic data and further interlinking it into a meaningful constellation of items. LODAC Museum’s Linked Open Data for Academia.

Contextual Data 98

Contextual Data Metadata Digital Transformation Technology 98

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

Alation

JUNE 22, 2021

And in fact, being able to pull a dataset or visualize it can do more harm than good if you interpret it incorrectly. With data, persuasion starts with the basics of properly visualizing data , moves on to data-driven design , and peaks at storytelling with data. Drawing conclusions.

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

erwin

OCTOBER 3, 2019

In the era of rapidly evolving technology and rampant – often disruptive – digital transformation, the need for enterprise architecture tools is abundantly clear. Basic visualization tools, spreadsheets and even word processors have typically played stand-in for dedicated EA solutions.

Enterprise 111

Enterprise Cost-Benefit Data-driven Risk 111

Laminar Security

AUGUST 23, 2023

Amidst these innovations, many businesses struggle to align their data security practices with the speed of digital transformation. Cloud data security is a challenge every business should tackle during their digital transformation journey. We only use your metadata for further analysis and reporting.

Cost-Benefit 52

Cost-Benefit Risk Digital Transformation Strategy 52

Cloudera

JANUARY 5, 2023

In the past year, businesses who doubled down on digital transformation during the pandemic saw their efforts coming to fruition in the form of cost savings and more streamlined data management. These features provide businesses with a common metadata, security, and governance model across all their data.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52

AWS Big Data

MARCH 13, 2024

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. Visual layouts in some screenshots in this post may look different than those on your AWS Management Console. Choose Run.

Analytics 99

Analytics IoT Metadata Internet of Things 99

bridgei2i

MARCH 3, 2021

In other words, we form the tech backbone of data and analytics platforms for our clients who are at different stages of their digital transformation journey. Now, I think it has forced a lot of enterprises to fasten their digital transformation journeys so that we’re better equipped to kind of respond.

Enterprise 98

Enterprise Digital Transformation Data-driven Interactive 98

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. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

AWS Big Data

DECEMBER 21, 2023

After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets. smava decided to use Tableau for business intelligence, data visualization, and further analytics.

Data Lake 94

Data Lake Data Warehouse Data-driven B2B 94

CIO Business Intelligence

DECEMBER 21, 2022

BI software helps companies do just that by shepherding the right data into analytical reports and visualizations so that users can make informed decisions. To gain employee buy-in, Stout’s team builds BI dashboards to show them how they can easily connect to and interact with their data, as well as visualize it in a meaningful way.

IT 131

IT Business Intelligence Sales Key Performance Indicator 131

IBM Big Data Hub

FEBRUARY 26, 2024

Download the Gartner® Market Guide for Active Metadata Management 1. Data lineage helps you answer these questions by creating highly detailed visualizations of your data flows. We’ve compiled six key reasons why financial organizations are turning to lineage platforms like MANTA to get control of their data.

Cost-Benefit 101

Cost-Benefit Metadata Data Governance Reporting 101

Alation

OCTOBER 21, 2021

Lack of metadata. A lack of organization is another sign of a data swamp, typically driven by bad or incomplete metadata. A lack of metadata prevents data curation, blocks any active data management, and impedes fast and accurate data governance. That dirty data then corrupts analyses and forces mistakes.

Data Lake 52

Data Lake Metadata Data Warehouse Data Governance 52

IBM Big Data Hub

JULY 17, 2023

By supporting open-source frameworks and tools for code-based, automated and visual data science capabilities — all in a secure, trusted studio environment — we’re already seeing excitement from companies ready to use both foundation models and machine learning to accomplish key tasks.

Machine Learning 67

Machine Learning Data Warehouse Modeling Cost-Benefit 67

Cloudera

FEBRUARY 8, 2021

You can read part 1, here: Digital Transformation is a Data Journey From Edge to Insight. First, the car sales data will be tied into the customer who purchased the car in order to get the customer metadata, such as contact information, age, salary, etc. STEP 4: Generate data visualization dashboards and reports.

Manufacturing 114

Manufacturing Data Warehouse Sales Predictive Analytics 114

Andrew White

JANUARY 11, 2021

Coding skills – SQL, Python or application familiarity – ETL & visualization? We cannot of course forget metadata management tools, of which there are many different. As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

MARCH 6, 2023

Previous tasks such as changing a watermark on an image or changing metadata tagging would take months of preparation for the storage and compute we’d need. The company relies on Amazon QuickSight and Athena to add visualizations and perform deep queries on its data to ensure optimal performance across the application lifecycle, Frazer says.

Data Lake 66

Data Lake Cost-Benefit Recreation/Entertainment Experimentation 66

Alation

AUGUST 26, 2021

It includes intelligence about data, or metadata. The earliest DI use cases leveraged metadata — EG, popularity rankings reflecting the most used data — to surface assets most useful to others. Cloud Transformation. Digital Transformation. Again, metadata is key. Data Intelligence and Metadata.

Metadata 64

Metadata Data Governance Dashboards Software 64

Sisense

MAY 18, 2020

In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data. YL: We’re interested in metadata. Every company is becoming a data company.

Analytics 98

Analytics Digital Transformation Data-driven Sales 98