DataKitchen

APRIL 13, 2021

Read the complete blog below for a more detailed description of the vendors and their capabilities. This is not surprising given that DataOps enables enterprise data teams to generate significant business value from their data. Genie — Distributed big data orchestration service by Netflix. OwlDQ — Predictive data quality.

Testing 300

Testing Machine Learning Consulting Data Science 300

Octopai

JANUARY 31, 2021

We have identified the top ten sites, videos, or podcasts online that deal with data lineage. Our list of Top 10 Data Lineage Podcasts, Blogs, and Websites To Follow in 2021. Data Engineering Podcast. This podcast centers around data management and investigates a different aspect of this field each week.

Data Governance 83

Data Governance Data Processing Data Quality Metadata 83

datapine

MAY 28, 2019

BI projects aren’t just for the big fishes in the sea anymore; the technology has developed rapidly, the software has become more accessible while business intelligence and analytics projects implemented in various industries regularly, no matter the shape and size, small businesses or large enterprises. Maximum security and data privacy.

Business Intelligence 317

Business Intelligence KPI Dashboards Reporting 317

IBM Big Data Hub

MAY 9, 2023

We can use foundation models to quickly perform tasks with limited annotated data and minimal effort; in some cases, we need only to describe the task at hand to coax the model into solving it. But these powerful technologies also introduce new risks and challenges for enterprises. All watsonx.ai Learn more about watsonx.ai

Enterprise 128

Enterprise Technology Modeling Cost-Benefit 128

Rocket-Powered Data Science

FEBRUARY 15, 2023

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Another perspective on technology-induced business disruption (including ChatGPT deployments) is to consider the three F’s that affect (and can potentially derail) such projects.

Strategy 290

Strategy Experimentation Uncertainty Machine Learning 290

IBM Big Data Hub

FEBRUARY 28, 2024

Here are four smart technologies modernizing strategic sourcing processes today: Automation Business process automation (also considered a type of business process outsourcing ) is pervasive across industries, minimizing manual tasks in accounting, human resources, IT and more. Blockchain Information is an invaluable business asset.

Strategy 94

Strategy Technology Cost-Benefit Risk Management 94

Smarten

NOVEMBER 26, 2024

Today, organizations look to data and to technology to help them understand historical results, and predict the future needs of the enterprise to manage everything from suppliers and supplies to new locations, new products and services, hiring, training and investments.

Machine Learning 62

Machine Learning Data Quality Predictive Modeling Metadata 62

datapine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

IT 317

IT Statistics KPI Data-driven 317

IBM Big Data Hub

JANUARY 5, 2023

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

Data Architecture 52

Data Architecture Data Quality Strategy Data Lake 52

Smarten

APRIL 25, 2024

How Can I Ensure Data Quality and Gain Data Insight Using Augmented Analytics? There are many business issues surrounding the use of data to make decisions. One such issue is the inability of an organization to gather and analyze data.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

Ontotext

NOVEMBER 16, 2023

In the first part of this series of technological posts, we talked about what SHACL is and how you can set up validation for your data. Tacking the data quality issue — bit by bit or incrementally There are two main approaches to validating your data, which would be dependent on the specific implementation.

Data Quality 69

Data Quality Reporting Testing Technology 69

datapine

MAY 31, 2022

It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. More and more CRM, marketing, and finance-related tools use SaaS business intelligence and technology, and even Adobe’s Creative Suite has adopted the model. 2) The Challenges Of Cloud Computing. Security issues.

Risk 237

Risk Cost-Benefit Business Intelligence Data-driven 237

Ontotext

MAY 26, 2021

the technology company) or Apple Records (the record label found by the Beatles in 1978), AI systems lack the background knowledge to make such a distinction. The post The Gold Standard – The Key to Information Extraction and Data Quality Control appeared first on Ontotext. But here again ambiguity is a stumbling block.

Data Quality 87

Data Quality Machine Learning Measurement Metadata 87

DataKitchen

MAY 10, 2021

Another aspect of observability is creating the conditions that enable data teams to identify and resolve errors as quickly as possible. Make sure the data and the artifacts that you create from data are correct before your customer sees them. It’s not about data quality . It’s not only about the data.

Testing 214

Testing Manufacturing Data Quality Statistics 214

O'Reilly on Data

OCTOBER 13, 2020

It is entirely possible for an AI product’s output to be absolutely correct from the perspective of accuracy and data quality, but too slow to be even remotely useful. Continuous retraining : a data-driven approach that employs constant monitoring of the model’s key performance indicators and data quality thresholds.

Management 314

Management Machine Learning Metrics Modeling 314

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

O'Reilly on Data

NOVEMBER 28, 2023

Generative AI has been the biggest technology story of 2023. Executive Summary We’ve never seen a technology adopted as fast as generative AI—it’s hard to believe that ChatGPT is barely a year old. When 26% of a survey’s respondents have been working with a technology for under a year, that’s an important sign of momentum.

Enterprise 342

Enterprise Modeling Testing Reporting 342

datapine

DECEMBER 17, 2019

As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. Information technology reports are the interactive eyes you need to help your department run more smoothly, cohesively, and successfully.

Reporting 173

Reporting IT Key Performance Indicator Dashboards 173

Smart Data Collective

APRIL 5, 2022

They will need to be aware of the potential that data can bring to entities using drones. Indiana Lee discussed these benefits in an article for Drone Blog. “Demand for big data for commercial uses, technological advancements, and increased venture capital funding will continue to drive rapid growth in drone use.

Data Collection 128

Data Collection Data Quality Big Data Data-driven 128

Timo Elliott

MAY 19, 2023

Mastering Data Hygiene Reliable data is at the core of all digital transformation. Here’s a great example of how technology can help make sure that you have a solid information foundation for innovative new business processes. It’s always about people!

Data-driven 98

Data-driven Digital Transformation Data Quality Optimization 98

Ontotext

NOVEMBER 23, 2023

The next step is to get out there and challenge your data quality dragons. The post SHACL-ing the Data Quality Dragon III: A Good Artisan Knows Their Tools appeared first on Ontotext. Get GraphDB and try your hand with our examples for SHACL validation from the documentation !

Data Quality 69

Data Quality Reporting Metadata Big Data 69

Timo Elliott

JANUARY 6, 2022

Like the proverbial man looking for his keys under the streetlight , when it comes to enterprise data, if you only look at where the light is already shining, you can end up missing a lot. Modern technologies allow the creation of data orchestration pipelines that help pool and aggregate dark data silos. Use people.

IT 135

IT Metadata Data-driven Data Governance 135

datapine

JANUARY 31, 2022

It’s all about using data to get a clearer understanding of reality so that your company can make more strategically sound decisions (instead of relying only on gut instinct or corporate inertia). Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

erwin

JANUARY 23, 2025

From increasing the strategic use of high-value data across organizations to advancing data and governance efforts to an AI-ready state, expectations are high for the contributions of data professionals in the year ahead. Thankfully, technology can help. and/or its affiliates in the U.S. All rights reserved.

Metadata 52

Metadata Data Quality Data Governance Software 52

Ontotext

NOVEMBER 9, 2023

While everyone may subscribe to the same design decisions and agree on an ontology, there may be differences in the data quality. In such situations, data must be validated. The post SHACL-ing the Data Quality Dragon I: the Problem and the Tools appeared first on Ontotext. Sometimes there is no room for error.

Data Quality 64

Data Quality Testing Reporting Metadata 64

Smart Data Collective

SEPTEMBER 28, 2022

Data engineering services can analyze large amounts of data and identify trends that would otherwise be missed. If you’re looking for ways to increase your profits and improve customer satisfaction, then you should consider investing in a data management solution. Big data management increases the reliability of your data.

Big Data 126

Big Data Management Data Quality Cost-Benefit 126

DataKitchen

NOVEMBER 10, 2023

Extrinsic Control Deficit: Many of these changes stem from tools and processes beyond the immediate control of the data team. Unregulated ETL/ELT Processes: The absence of stringent data quality tests in ETL (Extract, Transform, Load) or ELT (Extract, Load, Transform) processes further exacerbates the problem.

Data Quality 136

Data Quality Testing Data Lake Data Integration 136

datapine

DECEMBER 4, 2019

Applied to business, it is used to analyze current and historical data in order to better understand customers, products, and partners and to identify potential risks and opportunities for a company. One example in business intelligence would be the implementation of data alerts. Data Fabric.

Business Intelligence 212

Business Intelligence Prescriptive Analytics Analytics Predictive Analytics 212

erwin

DECEMBER 9, 2024

A data catalog providing automated data profiling does just this and, when tied in with data lineage, your organization can easily see metadatas pathway back to all sources feeding your AI model. Within the catalog one can visualize this lineage for data quality results and sensitive data inputs.

Metadata 52

Metadata Data Quality Sales Modeling 52

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. In the navigation pane, under Data catalog , choose Zero-ETL integrations.

Data Integration 114

Data Integration Data Lake Statistics Data-driven 114

Data Virtualization

OCTOBER 31, 2024

Reading Time: 2 minutes When making decisions that are critical to national security, governments rely on data, and those that leverage the cutting edge technology of generative AI foundation models will have a distinct advantage over their adversaries. Pros and Cons of generative AI.

Management 52

Management Modeling Data Integration Technology 52

datapine

AUGUST 7, 2019

In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas. What Are The Benefits Of The SaaS Technology? Data quality , speed, and consistency in one neat package. . 2) Vision.

Dashboards 168

Dashboards Management KPI Cost-Benefit 168

datapine

APRIL 15, 2020

Also, developers are more focused on data and technology than answering more important questions: “What business questions do we want to answer with the available data in order to support the decision-making process?” In the traditional model communication between developers and business users is not a priority.

Business Intelligence 276

Business Intelligence Analytics Testing Dashboards 276

erwin

FEBRUARY 13, 2020

The numerous data types and data sources that exist today weren’t designed to work together, and data infrastructures have been cobbled together over time with disparate technologies, poor documentation and little thought for downstream integration.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

DataKitchen

APRIL 18, 2024

Introducing DataKitchen’s Open Source Data Observability Software Today, we announce that we have open-sourced two complete, feature-rich products that solve the data observability problem: DataOps Observervability and DataOps TestGen. DataOps TestGen is the silent warrior that ensures the integrity of your data.

Testing 117

Testing Data Quality Enterprise Data Analytics 117

Data Virtualization

JANUARY 21, 2025

Reading Time: 2 minutes In 2024, generative AI (GenAI) has entered virtually every sphere of technology. However, companies are still struggling to manage data effectively, to implement GenAI applications that deliver proven business value. Gartner predicts that by the end of this year, 30%.

Management 52

Management Data Integration Technology Data Warehouse 52

DataKitchen

FEBRUARY 27, 2024

However, the foundation of their success rests not just on sophisticated algorithms or computational power but on the quality and integrity of the data they are trained on and interact with. The Imperative of Data Quality Validation Testing Data quality validation testing is not just a best practice; it’s imperative.

Data Quality 117

Data Quality Unstructured Data Testing Data-driven 117