Smart Data Collective

SEPTEMBER 29, 2022

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. Data strategies are becoming more dependent on new technology that is arising.

Data-driven 135

Data-driven Data Quality Optimization Insurance 135

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 Quality 52

Data Quality Data Architecture Strategy Data Lake 52

CIO Business Intelligence

AUGUST 2, 2022

As a technology executive for a leading energy producer, Alejandro Reyes shares those concerns, not only because he also feels the pain at the pump, but also because many people may view energy companies as a source of the problem. You also have all these different channels that are a constraint to some of the legacy technologies.

Data Quality 97

Data Quality Digital Transformation Machine Learning Predictive Analytics 97

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

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 67

Data Quality Data Governance People Analytics Data-driven 67

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 IT 69

Anmut

JULY 12, 2021

Data without context is just meaningless noise, and any effort to improve or extract value from your data without considering the larger business context is doomed to fall short.? Unfortunately, traditional approaches to data remediation often focus on technical data quality in isolation from the broader data and business ecosystem.

Data Quality 52

Data Quality Measurement Metrics Dashboards 52

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 133

Enterprise Technology Modeling Cost-Benefit 133

Jim Harris

JANUARY 1, 2018

The Chicken Littles of Data Quality use sound bites like “data quality problems cost businesses more than $600 billion a year!” or “poor data quality costs organizations 35% of their revenue!” Furthermore, the reason that citing specific examples of poor data quality (e.g.,

Data Quality 77

Data Quality Cost-Benefit Consulting Dashboards 77

CIO Business Intelligence

MAY 3, 2022

As the 125-year-old company evolves to meet changing market needs, and as enabling technologies like AI and machine learning are added to the mix, this integrated and collaborative approach has changed how IT makes decisions about which digital solutions are right for Dow and the markets they serve, explains Chris Bruman, Dow’s Chief Data Officer.

Data Quality 96

Data Quality Machine Learning Business Objectives Business Intelligence 96

Jet Global

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. CCgroup for insightsoftware. insightsoftware@ccgrouppr.com.

Data Quality 52

Data Quality Forecasting Data-driven Reporting 52

Andrew White

AUGUST 26, 2020

I spoke to a client recently who had this question: “I need help to develop a survey to ask our employees around the company how they regard the various subjective metrics tied to data quality.” What was the point of the data quality work? I explained to the client: Stop this bottom up data-focused work.

Data Quality 52

Data Quality Data Governance Metrics Measurement 52

Jim Harris

DECEMBER 24, 2015

Have you ever experienced that sinking feeling, where you sense if you don’t find data quality, then data quality will find you? These discussions are a critical prerequisite for determining data usage, standards, and the business relevant metrics for measuring and improving data quality.

Data Quality 56

Data Quality Enterprise Business Intelligence Data Governance 56

Jim Harris

JANUARY 1, 2016

1 — Investigate Data quality is not exactly a riddle wrapped in a mystery inside an enigma. However, understanding your data is essential to using it effectively and improving its quality. In order for you to make sense of those data elements, you require business context.

Data Quality 61

Data Quality Data Governance Cost-Benefit ROI 61

CIO Business Intelligence

JANUARY 20, 2023

To adapt to this new “new normal,” organizations will need to reinforce their workforces with technologies that can keep pace. 2] In this arena, desktop virtualization and cloud technologies will play starring roles. Many proactive teams are relying on Dell Technologies. [5]

Technology 59

Technology Cost-Benefit Deep Learning Modeling 59

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

O'Reilly on Data

FEBRUARY 11, 2020

We suspected that data quality was a topic brimming with interest. The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. Key survey results: The C-suite is engaged with data quality. Data quality might get worse before it gets better.

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Data Quality Metadata Data Governance Publishing 304

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.

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Data Quality Unstructured Data Testing Modeling 117

CIO Business Intelligence

MAY 7, 2024

That’s according to a recent report based on a survey of CDOs by AWS in conjunction with the Chief Data Officer and Information Quality (CDOIQ) Symposium. The CDO position first gained momentum around 2008, to ensure data quality and transparency to comply with regulations following the housing credit crisis of that era.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

David Menninger's Analyst Perspectives

MARCH 21, 2023

It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market. However, every organization faces challenges with data management and analytics.

Analytics 144

Analytics Data Governance Data Quality Management 144

CIO Business Intelligence

APRIL 4, 2022

Graph database technology can provide benefits beyond fraud detection. With the ability to analyze the interconnected relationships of data, organizations can detect and prevent even complex fraud and scams in real-time. With the right technology, your organization can keep ahead of fraud. The world is only getting more complex.

Technology 52

Technology Deep Learning Cost-Benefit Data Quality 52

AWS Big Data

APRIL 19, 2023

Background The success of a data-driven organization recognizes data as a key enabler to increase and sustain innovation. The goal of a data product is to solve the long-standing issue of data silos and data quality. Utilizing strategies like data mesh generates value on a large scale.

Technology 84

Technology Data-driven Machine Learning Sales 84

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

Smart Data Collective

SEPTEMBER 25, 2019

However, encryption technology for data protection is widely available. Only people with the key to decode the data can read it. Here are seven reasons to depend on encryption technology: 1. One of the top advantages of modern encryption technology is that you can apply it to all or most of the tech devices you use.

Technology 84

Technology Statistics Strategy Insurance 84

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

Dataiku

MAY 3, 2024

Though enabled by technology, delivering technology projects is not the point; the business is being changed to better respond to customer and employee needs. This separates it from “digitization,” which is merely running the same old processes with (hopefully) more efficient technology.

Digital Transformation 59

Digital Transformation Consulting Data Quality Technology 59

TDAN

FEBRUARY 7, 2024

It seems to have impacted every area of information technology, so, I will try my best to do my part. However, when it comes to data curation and data quality management, there seems to […] By now, it is clear to everyone that AI, especially generative AI, is the only topic you’re allowed to write about.

Data Quality 52

Data Quality Management Technology IT 52

David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 320

Management Data Warehouse Data Quality Data Integration 320

Smart Data Collective

AUGUST 11, 2022

More and more business owners are adopting AI and other machine learning technologies to automate their decision-making processes and also help them uncover new business opportunities. Businesses use data labeling that allows AI systems to understand the environments and conditions in the real world accurately.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

CIO Business Intelligence

APRIL 25, 2024

And at LinkedIn scale, those matchmaking processes have always relied on technology. Fits and starts As most CIOs have experienced, embracing emerging technologies comes with its share of experimentation and setbacks. That was not possible before this technology,” he said.

IT 139

IT Experimentation Cost-Benefit Metrics 139

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Right-size your model(s).

Data Lake 142

Data Lake Consulting Uncertainty Risk 142

CIO Business Intelligence

MARCH 18, 2024

Amid the turbulence of AI, technologies are emerging rapidly, startups are clamoring for attention, and hyperscalers are scrambling to corral market share. Brian Hopkins, vice president for emerging technology at Forrester Research, agrees. A key focus of the bank’s AI team is likewise data quality.

Risk 133

Risk Cost-Benefit Data Processing Testing 133

CIO Business Intelligence

MAY 1, 2024

As the Charlotte, North Carolina-based company planned its fiber build plan across its footprint, the company’s IT specialists realized that, with artificial intelligence (AI) emerging as the consummate transformative technology, Brightspeed needed to embrace adoption or fall behind. However, the transition would be challenging.

Digital Transformation 104

Digital Transformation Enterprise Data-driven Software 104

CIO Business Intelligence

MARCH 15, 2024

Among those five initiatives were improved data quality and business performance metrics, along with better digital employee management. The new program provided access to the Massachusetts Institute of Technology Horizon’s library of learning resources to all members of the DOD military and civilian workforce.

Big Data 124

Big Data Metrics Data Quality Machine Learning 124

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

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

Data Integration 59

Data Integration IoT Cost-Benefit Data Quality 59

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

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