AWS Big Data

JUNE 6, 2023

We are excited to announce the General Availability of AWS Glue Data Quality. Our journey started by working backward from our customers who create, manage, and operate data lakes and data warehouses for analytics and machine learning. It takes days for data engineers to identify and implement data quality rules.

Data Quality 98

Data Quality Statistics Data Lake Visualization 98

DataKitchen

APRIL 13, 2021

Companies that implement DataOps find that they are able to reduce cycle times from weeks (or months) to days, virtually eliminate data errors, increase collaboration, and dramatically improve productivity. As a result, vendors that market DataOps capabilities have grown in pace with the popularity of the practice. Data breaks.

Testing 300

Testing Machine Learning Consulting Data Science 300

AWS Big Data

DECEMBER 4, 2024

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster. Data teams struggle to find a unified approach that enables effortless discovery, understanding, and assurance of data quality and security across various sources.

Data Analytics 104

Data Analytics Analytics Data Lake Data Quality 104

DataKitchen

JANUARY 25, 2022

The strategic value of analytics is widely recognized, but the turnaround time of analytics teams typically can’t support the decision-making needs of executives coping with fast-paced market conditions. When internal resources fall short, companies outsource data engineering and analytics.

Consulting 244

Consulting Testing Data Lake Data Quality 244

David Menninger's Analyst Perspectives

MAY 8, 2025

Many longstanding providers of data management products, such as Informatica, have adopted DataOps capabilities and methodologies, adapting product portfolios to cloud-based consumption and automated, collaborative and agile processes. Informatica is still closely associated with data integration.

Data Quality 130

Data Quality Data Governance Data Integration Software 130

Octopai

AUGUST 3, 2022

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

Data Integration 98

Data Integration Manufacturing Data Quality Data Governance 98

David Menninger's Analyst Perspectives

OCTOBER 8, 2024

Collibra was founded in 2008 by Chief Executive Officer Felix Van de Maele and Chief Data Citizen Stijn Christiaens. Self-service access to data is only truly valuable if users can trust the data they have access to, however. Regards, Matt Aslett

Data Quality 130

Data Quality Data Governance Enterprise Visualization 130

Smart Data Collective

SEPTEMBER 21, 2021

The data can also be processed, managed and stored within the data fabric. Using data fabric also provides advanced analytics for market forecasting, product development, sale and marketing. Moreover, it is important to note that data fabric is not a one-time solution to fix data integration and management issues.

Management 131

Management Internet of Things Data Quality Data Integration 131

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

Alation

MAY 24, 2022

In a sea of questionable data, how do you know what to trust? Data quality tells you the answer. It signals what data is trustworthy, reliable, and safe to use. It empowers engineers to oversee data pipelines that deliver trusted data to the wider organization. Today, as part of its 2022.2

Data Quality 52

Data Quality Metadata Reporting Metrics 52

IBM Big Data Hub

JUNE 12, 2023

Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. However, analytics are only as good as the quality of the data, which must be error-free, trustworthy and transparent. What is data quality? million each year.

Data Quality 63

Data Quality Data Governance People Analytics Data-driven 63

Alation

AUGUST 5, 2021

What is Data Quality? Data quality is defined as: the degree to which data meets a company’s expectations of accuracy, validity, completeness, and consistency. By tracking data quality , a business can pinpoint potential issues harming quality, and ensure that shared data is fit to be used for a given purpose.

Data Quality 52

Data Quality IT Data Governance Sales 52

erwin

DECEMBER 9, 2024

And if it isnt changing, its likely not being used within our organizations, so why would we use stagnant data to facilitate our use of AI? The key is understanding not IF, but HOW, our data fluctuates, and data observability can help us do just that. And lets not forget about the controls.

Metadata 52

Metadata Data Quality Sales Modeling 52

erwin

APRIL 29, 2020

Many large organizations, in their desire to modernize with technology, have acquired several different systems with various data entry points and transformation rules for data as it moves into and across the organization. Data is crucial to every organization’s survival. Data Quality.

Key Performance Indicator 111

Key Performance Indicator Metadata Data Governance Data Quality 111

CIO Business Intelligence

APRIL 17, 2024

Salesforce’s reported bid to acquire enterprise data management vendor Informatica could mean consolidation for the integration platform-as-a-service (iPaaS) market and a new revenue stream for Salesforce, according to analysts. billion in 2022.

Cost-Benefit 128

Cost-Benefit B2B Marketing Enterprise 128

BizAcuity

NOVEMBER 13, 2024

Challenges in Achieving Data-Driven Decision-Making While the benefits are clear, many organizations struggle to become fully data-driven. Challenges such as data silos, inconsistent data quality, and a lack of skilled personnel can create significant barriers.

Consulting 52

Consulting Data-driven Cost-Benefit Business Intelligence 52

Smart Data Collective

JULY 9, 2023

The Importance of ETL in Business Decision Making ETL plays a critical role in enabling organisations to make data-driven decisions. Data Integration and Consistency In today’s digital landscape, organisations accumulate data from a wide array of sources.

Data Quality 105

Data Quality Data Warehouse Data-driven Reporting 105

Smart Data Collective

JULY 15, 2021

It helps you locate and discover data that fit your search criteria. With data catalogs, you won’t have to waste time looking for information you think you have. What Does a Data Catalog Do? This means that they can be ideal for data cleansing and maintenance. What Does a Data Catalog Consist Of?

Metadata 133

Metadata IT Data-driven Data Quality 133

Andrew White

JUNE 11, 2019

Google acquires Looker – June 2019 (infrastructure/search/data broker vendor acquires analytics/BI). Salesforce closes acquisition of Mulesoft – May 2018 (business app vendor acquires data integration). I am sure that the series of acquisitions in the last few weeks (and ongoing) signal something in the market.

IT 82

IT Data Quality Data Integration Business Objectives 82

CIO Business Intelligence

NOVEMBER 29, 2022

Here, I’ll highlight the where and why of these important “data integration points” that are key determinants of success in an organization’s data and analytics strategy. Layering technology on the overall data architecture introduces more complexity. Data and cloud strategy must align.

Data Architecture 111

Data Architecture Data Integration IoT Data-driven 111

CIO Business Intelligence

JANUARY 24, 2024

Undervaluing unstructured data Much of the data organizations accumulate is unstructured, whether it’s text, video, audio, social media, images, or other formats. These information resources can hold enormous value for enterprises , enabling them to gain new insights about customers and market trends.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

AWS Big Data

MARCH 26, 2024

This view is used to identify patterns and trends in customer behavior, which can inform data-driven decisions to improve business outcomes. For example, you can use C360 to segment and create marketing campaigns that are more likely to resonate with specific groups of customers. faster time to market, and 19.1%

Data Strategy 102

Data Strategy Strategy Data Warehouse Prescriptive Analytics 102

BI-Survey

FEBRUARY 17, 2020

While compliance is the major driver for data governance, it bears the risk of reducing it to a very restrictive procedure. Data quality is the top challenge when it comes to using data, closely followed by organizational issues. Inadequate data quality remains the foremost challenge users face when using data.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

datapine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. Clean data in, clean analytics out. Unfortunately, this approach could be disastrous.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

Andrew White

DECEMBER 4, 2019

Otherwise I don’t feel a need to repeat vendor marketing messages or product announcements since such vendors are quite capable, and motivated, to do that themselves. This acquisition followed another with Mulesoft, a data integration vendor. The marketing messages were all in point and being presented just as the vendor wanted.

Digital Transformation 64

Digital Transformation Data Quality Data Integration Data Warehouse 64

AWS Big Data

DECEMBER 21, 2023

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. AWS Glue provides both visual and code-based interfaces to make data integration effortless.

Analytics 110

Analytics IT Data Lake Visualization 110

CIO Business Intelligence

MARCH 22, 2022

To compete in a digital economy, it’s essential to base decisions and actions on accurate data, both real-time and historical. Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . Set up unified data governance rules and processes.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

CIO Business Intelligence

FEBRUARY 2, 2024

The credential is available at the executive management, principal, mastery, associate practitioner, and foundation assistant data governance professional levels. The organization offers 10 MDM courses, ranging from architecture and implementation to data profiling and data quality assessment.

Management 116

Management Data Governance Cost-Benefit Testing 116

Ontotext

MARCH 20, 2024

In today’s data-driven world, businesses are drowning in a sea of information. Traditional data integration methods struggle to bridge these gaps, hampered by high costs, data quality concerns, and inconsistencies. It’s a huge productivity loss.”

Data-driven 52

Data-driven Strategy Sales Data Integration 52

AWS Big Data

JULY 25, 2024

Migrating workloads to AWS Glue AWS Glue is a serverless data integration service that helps analytics users to discover, prepare, move, and integrate data from multiple sources. xlarge', 'InstanceCount': 1, }, { 'Name': "Slave nodes", 'Market': 'ON_DEMAND', 'InstanceRole': 'CORE', 'InstanceType': 'm5.xlarge',

Visualization 115

Visualization Management Data Integration Testing 115

CIO Business Intelligence

JANUARY 9, 2024

Can the current state of our data operations deliver the results we seek? Another tough topic that CIOs are having to surface to their colleagues: how problems with enterprise data quality stymie their AI ambitions. 1 among the top three risks — followed by statistical validity and model accuracy.

IT 140

IT Risk Cost-Benefit Machine Learning 140

CIO Business Intelligence

OCTOBER 22, 2024

A market in need of more interoperability Systems integrators and cloud services teams have stepped in to remedy some of multicloud’s interoperability hurdles, but the optimal solution is for public cloud providers to build APIs directly into the cloud stack layer, Gartner’s Nag says.

Strategy 128

Strategy Cost-Benefit Risk Enterprise 128

CIO Business Intelligence

FEBRUARY 16, 2023

That step, primarily undertaken by developers and data architects, established data governance and data integration. For that, he relied on a defensive and offensive metaphor for his data strategy. The defensive side includes traditional elements of data management, such as data governance and data quality.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Data Warehouse 105

Octopai

JANUARY 31, 2021

The episode that centers around data lineage runs through what exactly data lineage is, and why and how people should use it. The content on A-Team Insight covers financial markets and the way in which technology and data management play a part. A-Team Insight. TDWI – Philip Russom.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

Smart Data Collective

SEPTEMBER 25, 2019

Whether you work remotely all the time or just occasionally, data encryption helps you stop information from falling into the wrong hands. It Supports Data Integrity. Something else to keep in mind about encryption technology for data protection is that it helps increase the integrity of the information alone.

Technology 102

Technology Statistics Strategy Insurance 102

CIO Business Intelligence

APRIL 28, 2022

Having disparate data sources housed in legacy systems can add further layers of complexity, causing issues around data integrity, data quality and data completeness. We see this demonstrated in S-Bank , ranked No. 1 in Finland for customer loyalty.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

Ontotext

DECEMBER 1, 2023

So, KGF 2023 proved to be a breath of fresh air for anyone interested in topics like data mesh and data fabric , knowledge graphs, text analysis , large language model (LLM) integrations, retrieval augmented generation (RAG), chatbots, semantic data integration , and ontology building.

Metadata 78

Metadata Sales Machine Learning Consulting 78